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Posted on mongodb google news. Visit mongodb google news

Los Angeles, California–(Newsfile Corp. – July 26, 2024) – The Schall Law Firm, a national shareholder rights litigation firm, reminds investors of a class action lawsuit against MongoDB, Inc. (“MongoDB” or “the Company”) (NASDAQ: MDB) for violations of §§10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 promulgated thereunder by the U.S. Securities and Exchange Commission.

Investors who purchased the Company’s securities between August 31, 2023 and May 30, 2024, inclusive (the “Class Period”), are encouraged to contact the firm before September 9, 2024.

If you are a shareholder who suffered a loss, click here to participate.

We also encourage you to contact Brian Schall of the Schall Law Firm, 2049 Century Park East, Suite 2460, Los Angeles, CA 90067, at 310-301-3335, to discuss your rights free of charge. You can also reach us through the firm’s website at www.schallfirm.com, or by email at bschall@schallfirm.com.

The class, in this case, has not yet been certified, and until certification occurs, you are not represented by an attorney. If you choose to take no action, you can remain an absent class member.

According to the Complaint, the Company made false and misleading statements to the market. MongoDB touted to the market its anticipated growth and ability to manage macroeconomic fluctuations. The Company’s sales incentives encouraged low-value enrollments. The Company’s public statements were false and materially misleading throughout the class period. When the market learned the truth about MongoDB, investors suffered damages.

Join the case to recover your losses.

The Schall Law Firm represents investors around the world and specializes in securities class action lawsuits and shareholder rights litigation.

This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and rules of ethics.

SOURCE:

The Schall Law Firm

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/217811

Article originally posted on mongodb google news. Visit mongodb google news

Posted on mongodb google news. Visit mongodb google news

Faruqi & Faruqi, LLP Securities Litigation Partner James (Josh) Wilson Encourages Investors Who Suffered Losses Exceeding $100,000 In MongoDB To Contact Him Directly To Discuss Their Options

If you suffered losses exceeding $100,000 investing in MongoDB stock or options between August 31, 2023 and May 30, 2024 and would like to discuss your legal rights, call Faruqi & Faruqi partner Josh Wilson directly at 877-247-4292 or 212-983-9330 (Ext. 1310). You may also click here for additional information: www.faruqilaw.com/MDB.

NEW YORK, July 26, 2024 (GLOBE NEWSWIRE) — Faruqi & Faruqi, LLP, a leading national securities law firm, is investigating potential claims against MongoDB, Inc. (“MongoDB” or the “Company”) (NASDAQ: MDB) and reminds investors of the September 9, 2024 deadline to seek the role of lead plaintiff in a federal securities class action that has been filed against the Company.

Faruqi & Faruqi is a leading national securities law firm with offices in New York, Pennsylvania, California and Georgia. The firm has recovered hundreds of millions of dollars for investors since its founding in 1995. See www.faruqilaw.com.

The complaint alleges that on March 7, 2024, MongoDB reported strong Q4 2024 results and then announced lower than expected full-year guidance for 2025. MongoDB attributed it to the Company’s change in its “sales incentive structure” which led to a decrease in revenue related to “unused commitments and multi-year licensing deals.”

Following this news, MongoDB’s stock price fell by $28.59 per share to close at $383.42 per share.

Later, on May 30, 2024, MongoDB further lowered its guidance for the full year 2025 attributing it to “macro impacting consumption growth.” Analysts commenting on the reduced guidance questioned if changes made to the Company’s marketing strategy “led to change in customer behavior and usage patterns.”

Following this news, MongoDB’s stock price fell by $73.94 per share to close at $236.06 per share.

The court-appointed lead plaintiff is the investor with the largest financial interest in the relief sought by the class who is adequate and typical of class members who directs and oversees the litigation on behalf of the putative class. Any member of the putative class may move the Court to serve as lead plaintiff through counsel of their choice, or may choose to do nothing and remain an absent class member. Your ability to share in any recovery is not affected by the decision to serve as a lead plaintiff or not.  

Faruqi & Faruqi, LLP also encourages anyone with information regarding MongoDB’s conduct to contact the firm, including whistleblowers, former employees, shareholders and others.

To learn more about the MongoDB class action, go to www.faruqilaw.com/MDB or call Faruqi & Faruqi partner Josh Wilson directly at 877-247-4292 or 212-983-9330 (Ext. 1310).

Follow us for updates on LinkedIn, on X, or on Facebook.

Attorney Advertising. The law firm responsible for this advertisement is Faruqi & Faruqi, LLP (www.faruqilaw.com). Prior results do not guarantee or predict a similar outcome with respect to any future matter. We welcome the opportunity to discuss your particular case. All communications will be treated in a confidential manner.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/5e848124-9c14-4bab-ba13-256ecec0c433

Article originally posted on mongodb google news. Visit mongodb google news

Posted on mongodb google news. Visit mongodb google news

NEW YORK, NY / ACCESSWIRE / July 26, 2024 / If you suffered a loss on your MongoDB, Inc. (NASDAQ:MDB) investment and want to learn about a potential recovery under the federal securities laws, follow the link below for more information:

https://zlk.com/pslra-1/mongodb-inc-lawsuit-submission-form?prid=92356&wire=1

or contact Joseph E. Levi, Esq. via email at [email protected] or call (212) 363-7500 to speak to our team of experienced shareholder advocates.

THE LAWSUIT: A class action securities lawsuit was filed against MongoDB, Inc. that seeks to recover losses of shareholders who were adversely affected by alleged securities fraud between August 31, 2023 and May 30, 2024.

CASE DETAILS: According to the complaint, on March 7, 2024, MongoDB reported strong Q4 2024 results and then announced lower than expected full-year guidance for 2025. MongoDB attributed it to the Company’s change in its “sales incentive structure” which led to a decrease in revenue related to “unused commitments and multi-year licensing deals.”

Following this news, MongoDB’s stock price fell by $28.59 per share to close at $383.42 per share.

Later, on May 30, 2024, MongoDB further lowered its guidance for the full year 2025 attributing it to “macro impacting consumption growth.” Analysts commenting on the reduced guidance questioned if changes made to the Company’s marketing strategy “led to change in customer behavior and usage patterns.”

Following this news, MongoDB’s stock price fell by $73.94 per share to close at $236.06 per share.

WHAT’S NEXT? If you suffered a loss in MongoDB stock during the relevant time frame – even if you still hold your shares – go to https://zlk.com/pslra-1/mongodb-inc-lawsuit-submission-form?prid=92356&wire=1 to learn about your rights to seek a recovery. There is no cost or obligation to participate.

WHY LEVI & KORSINSKY: Over the past 20 years, Levi & Korsinsky LLP has established itself as a nationally-recognized securities litigation firm that has secured hundreds of millions of dollars for aggrieved shareholders and built a track record of winning high-stakes cases. The firm has extensive expertise representing investors in complex securities litigation and a team of over 70 employees to serve our clients. For seven years in a row, Levi & Korsinsky has ranked in ISS Securities Class Action Services’ Top 50 Report as one of the top securities litigation firms in the United States. Attorney Advertising. Prior results do not guarantee similar outcomes.

CONTACT:
Levi & Korsinsky, LLP
Joseph E. Levi, Esq.
Ed Korsinsky, Esq.
33 Whitehall Street, 17th Floor
New York, NY 10004
[email protected]
Tel: (212) 363-7500
Fax: (212) 363-7171
https://zlk.com/

SOURCE: Levi & Korsinsky, LLP

Article originally posted on mongodb google news. Visit mongodb google news

Posted on mongodb google news. Visit mongodb google news

The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let’s take a look at how MongoDB (NASDAQ:MDB) and the rest of the data storage stocks fared in Q1.

Data is the lifeblood of the internet and software in general, and the amount of data created is accelerating. As a result, the importance of storing the data in scalable and efficient formats continues to rise, especially as its diversity and associated use cases expand from analyzing simple, structured datasets to high-scale processing of unstructured data such as images, audio, and video.

The 5 data storage stocks we track reported an ok Q1; on average, revenues beat analyst consensus estimates by 3.9%. while next quarter’s revenue guidance was in line with consensus. Inflation progressed towards the Fed’s 2% goal at the end of 2023, leading to strong stock market performance. The start of 2024 has been a bumpier ride, as the market switches between optimism and pessimism around rate cuts due to mixed inflation data, and while some of the data storage stocks have fared somewhat better than others, they collectively declined, with share prices falling 4.3% on average since the previous earnings results.

Weakest Q1: MongoDB (NASDAQ:MDB)

Started in 2007 by the team behind Google’s ad platform, DoubleClick, MongoDB offers database-as-a-service that helps companies store large volumes of semi-structured data.

MongoDB reported revenues of $450.6 million, up 22.3% year on year, exceeding analysts’ expectations by 2.4%. Despite the top-line beat, it was a weak quarter overall for the company with underwhelming revenue guidance for the next quarter and a miss of analysts’ billings estimates.

“MongoDB’s delivered solid first quarter results, highlighted by 32% Atlas revenue growth. At the same time, we had a slower than expected start to the year for both Atlas consumption growth and new workload wins, which will have a downstream impact for the remainder of fiscal 2025,” said Dev Ittycheria, President and Chief Executive Officer of MongoDB.

MongoDB delivered the weakest full-year guidance update of the whole group. The company added 85 enterprise customers paying more than $100,000 annually to reach a total of 2,137. The stock is down 17.2% since reporting and currently trades at $256.62.

Is now the time to buy MongoDB? Access our full analysis of the earnings results here, it’s free.

Best Q1: Commvault Systems (NASDAQ:CVLT)

Originally formed in 1988 as part of Bell Labs, Commvault (NASDAQ: CVLT) provides enterprise software used for data backup and recovery, cloud and infrastructure management, retention, and compliance.

Commvault Systems reported revenues of $223.3 million, up 9.7% year on year, outperforming analysts’ expectations by 5.1%. It was a very strong quarter for the company with management forecasting accelerating growth and a solid beat of analysts’ billings estimates.

Commvault Systems scored the highest full-year guidance raise among its peers. The market seems happy with the results as the stock is up 22.9% since reporting. It currently trades at $122.24.

Is now the time to buy Commvault Systems? Access our full analysis of the earnings results here, it’s free.

Snowflake (NYSE:SNOW)

Founded in 2013 by three French engineers who spent decades working for Oracle, Snowflake (NYSE:SNOW) provides a data warehouse-as-a-service in the cloud that allows companies to store large amounts of data and analyze it in real time.

Snowflake reported revenues of $828.7 million, up 32.9% year on year, exceeding analysts’ expectations by 5.4%. It was a weaker quarter for the company with a miss of analysts’ billings estimates and a decline in its gross margin.

As expected, the stock is down 19.6% since the results and currently trades at $131.31.

Read our full analysis of Snowflake’s results here.

Couchbase (NASDAQ:BASE)

Formed in 2011 with the merger of Membase and CouchOne, Couchbase (NASDAQ:BASE) is a database-as-a-service platform that allows enterprises to store large volumes of semi-structured data.

Couchbase reported revenues of $51.33 million, up 25.2% year on year, surpassing analysts’ expectations by 5.6%. Revenue aside, it was a strong quarter for the company with an impressive beat of analysts’ billings estimates and in-line revenue guidance for the next quarter.

Couchbase pulled off the biggest analyst estimates beat among its peers. The stock is down 6% since reporting and currently trades at $20.24.

Read our full, actionable report on Couchbase here, it’s free.

DigitalOcean (NYSE:DOCN)

Started by brothers Ben and Moisey Uretsky, DigitalOcean (NYSE: DOCN) provides a simple, low-cost platform that allows developers and small and medium-sized businesses to host applications and data in the cloud.

DigitalOcean reported revenues of $184.7 million, up 11.9% year on year, surpassing analysts’ expectations by 1.2%. More broadly, it was a decent quarter for the company with a significant improvement in its gross margin.

DigitalOcean had the weakest performance against analyst estimates among its peers. The stock is down 1.8% since reporting and currently trades at $32.

Read our full, actionable report on DigitalOcean here, it’s free.

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Article originally posted on mongodb google news. Visit mongodb google news

Article originally posted on InfoQ. Visit InfoQ

AWS has announced the general availability of Amazon EC2 R8g instances, which use AWS Graviton4 processors. These instances have been available in preview since November 2023 and are designed for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics.

The AWS Graviton4 inside the R8g instances is the latest generation of processors designed by the company specifically for cloud computing. These processors are built using ARM architecture, known for its high performance and energy efficiency.

Esra Kayabali, a senior solutions architect at AWS, wrote:

If you are looking for more energy-efficient compute options to help you reduce your carbon footprint and achieve your sustainability goals, R8g instances provide the best energy efficiency for memory-intensive workloads in EC2.

According to the company AWS, Graviton4-based Amazon EC2 instances offer up to 3x more vCPU and memory than Graviton3-based instances, with speeds up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications. The R8g instances come in 12 sizes, including two bare metal sizes, and offer enhanced networking bandwidth of up to 50 Gbps and up to 40 Gbps to Amazon EBS. Elastic Fiber Adapter (EFA) networking support is available on select sizes, and Elastic Network Adapter (ENA) Express support is offered on instance sizes larger than 12xlarge.

Furthermore, they are built on the AWS Nitro System to enhance performance and security by offloading CPU virtualization, storage, and networking functions to dedicated hardware and software.

The R8g instances are ideal for all Linux-based workloads, including containerized and micro-services-based applications. These applications can be built using Amazon EKS, Amazon ECS, Amazon ECR, Kubernetes, Docker, and popular programming languages like C/C++, Rust, Go, Java, Python, .NET Core, Node.js, Ruby, and PHP.

The R8g instances are part of the memory-optimized instance family in Amazon EC2, including R5, R6g, and R7g instances. The main differences among these instances are the processor, memory, and instance size.

Ayush Jain, an analyst at TechInsights, wrote in a LinkedIn post:

His colleague Owen Rogers ran a series of simple performance benchmarks on AWS’s r6g.large, r7g.large, and r8g. large EC2 instances, which are based on Graviton 2, 3, and 4 CPUs, respectively.

Broadly, the benchmark results show that AWS continues to strengthen the Graviton momentum while maintaining a healthy balance between performance and price.

Currently, the R8g instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Frankfurt). Users can purchase R8g instances as Reserved Instances, On-Demand, Spot Instances, and via Savings Plans. More details on pricing are available on the EC2 pricing page.

Article originally posted on InfoQ. Visit InfoQ

The release of Firefox 127 introduces new JavaScript Set methods, including intersection(), union(), difference(), symmetricDifference(), isSubsetOf(), isSupersetOf(), and isDisjointFrom() now supported across major browser engines. Polyfills are no longer needed to make them work everywhere. These additions provide convenient, built-in ways to manipulate and compare collections aiming to simplify development and enahnce performance.

JavaScript Sets function similarly to Arrays but guarantee the uniqueness of each value. This automatic removal of duplicates makes Sets perfect for creating unique collections. For instance, here’s a simple example of creating and adding elements to a Set:

const users = new Set();
const alice = { id: 1, name: "Alice" };
users.add(alice);

users.forEach(user => { console.log(user) });
    

Sets are also typically faster for checking if an element exists compared to Arrays, making them useful for performance-sensitive applications.

The union() method returns a new Set containing elements from both the original Set and the given Set. This is useful for combining collections without duplicates:

const set1 = new Set(["Alice", "Bob", "Charlie"]);
const set2 = new Set(["Bob", "Charlie", "David"]);
const unionSet = set1.union(set2);

unionSet.forEach(name => {
  console.log(name); // Outputs: Alice, Bob, Charlie, David
});
    

The “intersection()” method returns a new Set containing only elements present in both Sets. This is helpful for finding common elements:

const intersectionSet = set1.intersection(set2);

intersectionSet.forEach(name => {
  console.log(name); // Outputs: Bob, Charlie
});
    

The symmetricDifference() method returns a new Set containing elements present in either of the Sets but not in both. This is useful for finding unique elements between two Sets:

const symmetricDifferenceSet = set1.symmetricDifference(set2);

symmetricDifferenceSet.forEach(name => {
  console.log(name); // Outputs: Alice, David
});
    

The difference() method returns a new Set containing elements present in the original Set but not in the given Set. This is useful for subtracting elements:

const set1Only = set1.difference(set2);

set1Only.forEach(name => {
  console.log(name); // Outputs: Alice
});
    

The methods isSubsetOf() and isSupersetOf() return Boolean values based on the relationship between Sets. The “isSubsetOf()” method checks if all elements of a Set are in another Set, while the isSupersetOf() method determines if a Set contains all elements of another Set.

const subset = new Set(["Alice", "Bob"]);
const superset = new Set(["Alice", "Bob", "Charlie"]);

if (subset.isSubsetOf(superset)) {
  console.log("subset is a subset of superset"); // This will be printed because all elements in subset are also in superset
} else {
  console.log("subset is not a subset of superset");
}

if (superset.isSupersetOf(subset)) {
  console.log("superset is a superset of subset"); // This will be printed because all elements in subset are also in superset
} else {
  console.log("superset is not a superset of subset");
}
    

The isDisjointFrom() method checks if two Sets have no common elements:

const set3 = new Set(["Eve", "Frank", "Gina"]);

if (set1.isDisjointFrom(set2)) {
  console.log("Set1 and Set2 are disjoint"); // This will be printed because set1 and set2 have no common elements
} else {
  console.log("Set1 and Set2 are not disjoint");
}

if (set1.isDisjointFrom(set3)) {
  console.log("Set1 and Set3 are disjoint");
} else {
  console.log("Set1 and Set3 are not disjoint"); // This will be printed because set1 and set3 have a common element "Charlie"
}
    

The community has responded positively to these new methods. In Reddit thread user peterlinddk said:

“Excellent – finally we can use Set for more than a ‘duplicate-detector’. I only wish that there were some way for objects to be ‘equal’ without them having to be the exact same instance. Kind of like Java’s .equals and .hashCode methods.”

Another user, Pelopida92, praised the performance benefits, stating:

“Sets are awesome. I used them extensively for some big-data scripts, as they have way better performance than arrays and are very easy to use and convenient.”

Posted on mongodb google news. Visit mongodb google news

The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let’s take a look at how MongoDB (NASDAQ:MDB) and the rest of the data storage stocks fared in Q1.

Data is the lifeblood of the internet and software in general, and the amount of data created is accelerating. As a result, the importance of storing the data in scalable and efficient formats continues to rise, especially as its diversity and associated use cases expand from analyzing simple, structured datasets to high-scale processing of unstructured data such as images, audio, and video.

The 5 data storage stocks we track reported an ok Q1; on average, revenues beat analyst consensus estimates by 3.9%. while next quarter’s revenue guidance was in line with consensus. Inflation progressed towards the Fed’s 2% goal at the end of 2023, leading to strong stock market performance. The start of 2024 has been a bumpier ride, as the market switches between optimism and pessimism around rate cuts due to mixed inflation data, and while some of the data storage stocks have fared somewhat better than others, they collectively declined, with share prices falling 4.3% on average since the previous earnings results.

Weakest Q1: MongoDB (NASDAQ:MDB)

Started in 2007 by the team behind Google’s ad platform, DoubleClick, MongoDB offers database-as-a-service that helps companies store large volumes of semi-structured data.

MongoDB reported revenues of $450.6 million, up 22.3% year on year, exceeding analysts’ expectations by 2.4%. Despite the top-line beat, it was a weak quarter overall for the company with underwhelming revenue guidance for the next quarter and a miss of analysts’ billings estimates.

“MongoDB’s delivered solid first quarter results, highlighted by 32% Atlas revenue growth. At the same time, we had a slower than expected start to the year for both Atlas consumption growth and new workload wins, which will have a downstream impact for the remainder of fiscal 2025,” said Dev Ittycheria, President and Chief Executive Officer of MongoDB.

MongoDB delivered the weakest full-year guidance update of the whole group. The company added 85 enterprise customers paying more than $100,000 annually to reach a total of 2,137. The stock is down 17.2% since reporting and currently trades at $256.62.

Is now the time to buy MongoDB? Access our full analysis of the earnings results here, it’s free.

Best Q1: Commvault Systems (NASDAQ:CVLT)

Originally formed in 1988 as part of Bell Labs, Commvault (NASDAQ: CVLT) provides enterprise software used for data backup and recovery, cloud and infrastructure management, retention, and compliance.

Commvault Systems reported revenues of $223.3 million, up 9.7% year on year, outperforming analysts’ expectations by 5.1%. It was a very strong quarter for the company with management forecasting accelerating growth and a solid beat of analysts’ billings estimates.

Commvault Systems scored the highest full-year guidance raise among its peers. The market seems happy with the results as the stock is up 22.9% since reporting. It currently trades at $122.24.

Is now the time to buy Commvault Systems? Access our full analysis of the earnings results here, it’s free.

Snowflake (NYSE:SNOW)

Founded in 2013 by three French engineers who spent decades working for Oracle, Snowflake (NYSE:SNOW) provides a data warehouse-as-a-service in the cloud that allows companies to store large amounts of data and analyze it in real time.

Snowflake reported revenues of $828.7 million, up 32.9% year on year, exceeding analysts’ expectations by 5.4%. It was a weaker quarter for the company with a miss of analysts’ billings estimates and a decline in its gross margin.

As expected, the stock is down 19.6% since the results and currently trades at $131.31.

Read our full analysis of Snowflake’s results here.

Couchbase (NASDAQ:BASE)

Formed in 2011 with the merger of Membase and CouchOne, Couchbase (NASDAQ:BASE) is a database-as-a-service platform that allows enterprises to store large volumes of semi-structured data.

Couchbase reported revenues of $51.33 million, up 25.2% year on year, surpassing analysts’ expectations by 5.6%. Revenue aside, it was a strong quarter for the company with an impressive beat of analysts’ billings estimates and in-line revenue guidance for the next quarter.

Couchbase pulled off the biggest analyst estimates beat among its peers. The stock is down 6% since reporting and currently trades at $20.24.

Read our full, actionable report on Couchbase here, it’s free.

DigitalOcean (NYSE:DOCN)

Started by brothers Ben and Moisey Uretsky, DigitalOcean (NYSE: DOCN) provides a simple, low-cost platform that allows developers and small and medium-sized businesses to host applications and data in the cloud.

DigitalOcean reported revenues of $184.7 million, up 11.9% year on year, surpassing analysts’ expectations by 1.2%. More broadly, it was a decent quarter for the company with a significant improvement in its gross margin.

DigitalOcean had the weakest performance against analyst estimates among its peers. The stock is down 1.8% since reporting and currently trades at $32.

Read our full, actionable report on DigitalOcean here, it’s free.

Join Paid Stock Investor Research

Help us make StockStory more helpful to investors like yourself. Join our paid user research session and receive a $50 Amazon gift card for your opinions. Sign up here.

Article originally posted on mongodb google news. Visit mongodb google news

Posted on mongodb google news. Visit mongodb google news

NEW YORK, July 26, 2024 /PRNewswire/ — Levi & Korsinsky, LLP notifies investors in MongoDB, Inc. (“MongoDB” or the “Company”) (NASDAQ: MDB) of a class action securities lawsuit.

CLASS DEFINITION: The lawsuit seeks to recover losses on behalf of MongoDB investors who were adversely affected by alleged securities fraud between August 31, 2023 and May 30, 2024. Follow the link below to get more information and be contacted by a member of our team:

https://zlk.com/pslra-1/mongodb-inc-lawsuit-submission-form?prid=92176&wire=4

MDB investors may also contact Joseph E. Levi, Esq. via email at jlevi@levikorsinsky.com or by telephone at (212) 363-7500.

CASE DETAILS: According to the complaint, on March 7, 2024, MongoDB reported strong Q4 2024 results and then announced lower than expected full-year guidance for 2025. MongoDB attributed it to the Company’s change in its “sales incentive structure” which led to a decrease in revenue related to “unused commitments and multi-year licensing deals.” Following this news, MongoDB’s stock price fell by $28.59 per share to close at $383.42 per share. Later, on May 30, 2024, MongoDB further lowered its guidance for the full year 2025 attributing it to “macro impacting consumption growth.” Analysts commenting on the reduced guidance questioned if changes made to the Company’s marketing strategy “led to change in customer behavior and usage patterns.” Following this news, MongoDB’s stock price fell by $73.94 per share to close at $236.06 per share.

WHAT’S NEXT? If you suffered a loss in MongoDB during the relevant time frame, you have until September 9, 2024 to request that the Court appoint you as lead plaintiff. Your ability to share in any recovery doesn’t require that you serve as a lead plaintiff.

NO COST TO YOU: If you are a class member, you may be entitled to compensation without payment of any out-of-pocket costs or fees. There is no cost or obligation to participate.

WHY LEVI & KORSINSKY: Over the past 20 years, the team at Levi & Korsinsky has secured hundreds of millions of dollars for aggrieved shareholders and built a track record of winning high-stakes cases. Our firm has extensive expertise representing investors in complex securities litigation and a team of over 70 employees to serve our clients. For seven years in a row, Levi & Korsinsky has ranked in ISS Securities Class Action Services’ Top 50 Report as one of the top securities litigation firms in the United States.

CONTACT:
Levi & Korsinsky, LLP
Joseph E. Levi, Esq.
Ed Korsinsky, Esq.
33 Whitehall Street, 17th Floor
New York, NY 10004
jlevi@levikorsinsky.com
Tel: (212) 363-7500
Fax: (212) 363-7171
www.zlk.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/lost-money-on-mongodb-incmdb-join-class-action-suit-seeking-recovery–contact-levi–korsinsky-302207161.html

SOURCE Levi & Korsinsky, LLP

Article originally posted on mongodb google news. Visit mongodb google news

Posted on mongodb google news. Visit mongodb google news

The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let’s take a look at how MongoDB (NASDAQ:) and the rest of the data storage stocks fared in Q1.

Data is the lifeblood of the internet and software in general, and the amount of data created is accelerating. As a result, the importance of storing the data in scalable and efficient formats continues to rise, especially as its diversity and associated use cases expand from analyzing simple, structured datasets to high-scale processing of unstructured data such as images, audio, and video.

The 5 data storage stocks we track reported an ok Q1; on average, revenues beat analyst consensus estimates by 3.9%. while next quarter’s revenue guidance was in line with consensus. Inflation progressed towards the Fed’s 2% goal at the end of 2023, leading to strong stock market performance. The start of 2024 has been a bumpier ride, as the market switches between optimism and pessimism around rate cuts due to mixed inflation data, and while some of the data storage stocks have fared somewhat better than others, they collectively declined, with share prices falling 4.3% on average since the previous earnings results.

Weakest Q1: MongoDB (NASDAQ:MDB) Started in 2007 by the team behind Google’s ad platform, DoubleClick, MongoDB offers database-as-a-service that helps companies store large volumes of semi-structured data.

MongoDB reported revenues of $450.6 million, up 22.3% year on year, exceeding analysts’ expectations by 2.4%. Despite the top-line beat, it was a weak quarter overall for the company with underwhelming revenue guidance for the next quarter and a miss of analysts’ billings estimates.

“MongoDB’s delivered solid first quarter results, highlighted by 32% Atlas revenue growth. At the same time, we had a slower than expected start to the year for both Atlas consumption growth and new workload wins, which will have a downstream impact for the remainder of fiscal 2025,” said Dev Ittycheria, President and Chief Executive Officer of MongoDB.

MongoDB delivered the weakest full-year guidance update of the whole group. The company added 85 enterprise customers paying more than $100,000 annually to reach a total of 2,137. The stock is down 17.2% since reporting and currently trades at $256.62.

Is now the time to buy MongoDB? Find out by reading the original article on StockStory, it’s free. Best Q1: Commvault Systems (NASDAQ:CVLT)Originally formed in 1988 as part of Bell Labs, Commvault (NASDAQ: CVLT) provides enterprise software used for data backup and recovery, cloud and infrastructure management, retention, and compliance.

Commvault Systems reported revenues of $223.3 million, up 9.7% year on year, outperforming analysts’ expectations by 5.1%. It was a very strong quarter for the company with management forecasting accelerating growth and a solid beat of analysts’ billings estimates.

Commvault Systems scored the highest full-year guidance raise among its peers. The market seems happy with the results as the stock is up 22.9% since reporting. It currently trades at $122.24.

Snowflake (NYSE:NYSE:)Founded in 2013 by three French engineers who spent decades working for Oracle (NYSE:), Snowflake (NYSE:SNOW) provides a data warehouse-as-a-service in the cloud that allows companies to store large amounts of data and analyze it in real time.

Snowflake reported revenues of $828.7 million, up 32.9% year on year, exceeding analysts’ expectations by 5.4%. It was a weaker quarter for the company with a miss of analysts’ billings estimates and a decline in its gross margin.

As expected, the stock is down 19.6% since the results and currently trades at $131.31.

Couchbase (NASDAQ:)Formed in 2011 with the merger of Membase and CouchOne, Couchbase (NASDAQ:BASE) is a database-as-a-service platform that allows enterprises to store large volumes of semi-structured data.

Couchbase reported revenues of $51.33 million, up 25.2% year on year, surpassing analysts’ expectations by 5.6%. Revenue aside, it was a strong quarter for the company with an impressive beat of analysts’ billings estimates and in-line revenue guidance for the next quarter.

Couchbase pulled off the biggest analyst estimates beat among its peers. The stock is down 6% since reporting and currently trades at $20.24.

DigitalOcean (NYSE:NYSE:)Started by brothers Ben and Moisey Uretsky, DigitalOcean (NYSE: DOCN) provides a simple, low-cost platform that allows developers and small and medium-sized businesses to host applications and data in the cloud.

DigitalOcean reported revenues of $184.7 million, up 11.9% year on year, surpassing analysts’ expectations by 1.2%. More broadly, it was a decent quarter for the company with a significant improvement in its gross margin.

DigitalOcean had the weakest performance against analyst estimates among its peers. The stock is down 1.8% since reporting and currently trades at $32.

This content was originally published on Stock Story

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Transcript

Hevery: I’m Miško. I like to start my talks with a joke. I like dad jokes. How do functions break up? They stop calling each other. This is me, CTO Builder.io. I did this thing called AngularJS and Angular. Also had something to do with Karma. Now I can’t seem to stop this habit, and so I created a new framework called Qwik. I work for Builder.io. I’m a CTO. What we do is we make a headless visual CMS. When I first joined, I had no idea what that means. Let me break this down. It’s basically Wix, you can drag and drop, build websites. Wix is great. The problem is, it’s hosted on Wix website. You can’t have your own existing infrastructure and own existing applications on Wix. Builder.io is a npm install of the editor into your code base. Whether you use React, Vue, Svelte, Angular, Qwik, doesn’t matter. Then you can register your own components, and now your marketing team can drag and drop components and build things. It’s on your existing infrastructure, so you don’t have to go somewhere else. This is our awesome open source team. Basically, we have Qwik, we have Partytown, we have Mitosis. Partytown allows you to run third party code in web workers. I am a big fan of getting stuff off of the main thread, because I think running stuff on main thread is a performance bottleneck, and it’s a problem. It’s what I’m going to talk about. Mitosis allows you to write code once and it generates that code for all existing frameworks. It’s not a wrapper. It’s a canonical code that you would have written with your own hands. We have these awesome folks who work on it.

Core Web Vitals

What are we talking about here? I think this story starts with core web vitals. Core web vitals is basically Google’s attempt to push the web forward. The idea is, shine a light on it in terms of performance. Then people have motivation to do something about it and improve. Core web vitals is actually used by Google for SEO ranking. If you have bad scores, you might get negatively impacted in your SEO score. You should really worry about getting good scores here. It turns out, there’s a lot of different things that they measure. One of them is essentially this idea of time to interactive, which is that I navigate to a page, and I want to go and interact with a page, how long before I can interact with a page? The idea is that that should be pretty quick. Otherwise, you’re going to lose interest and you go somewhere else. This is a place where we as an industry aren’t doing very well, we tend to fail this problem. The problem basically comes down to, you navigate to a page and a huge amount of JavaScript has to download, a huge amount of JavaScript has to execute. Then the page becomes interactive. I’m sure you’ve seen this, where you go to a page, somebody sends you a link on Twitter and X, and you click on it, and it’s like these awesome shoes. You have to get these shoes. You want to push the buy button and nothing happens. You click a few times, and nothing’s happened. At some point, you’re like, I don’t need the shoes, and you leave. This has a negative impact on monetization. Companies should really care about their performance, because you really want to have a good experience. You want to have a website where the moment you see the button, you can click on it. When you click on it, you know something will happen. That is not the world we are today. In the world we are today is we get to see these buttons before they’re ready. On mobile and crappy network, it might take multiple seconds. It’s not unheard of to take 30 seconds, before a site really becomes fully interactive. The culprit is JavaScript, which is that the amount of JavaScript we’re sending to the browser is steadily increasing. I’m not here to tell you stop writing JavaScript. That’s ridiculous. That’s not going to fly. Also, I’m not saying here that you need to go back to 20 years ago, where we had HTML without JavaScript, because that’s also not going to fly. What it is, is that JavaScript adds interactivity to our websites. This interactivity is something that our users expect. This isn’t about writing less JavaScript, this talk is really about like, how do you ship less JavaScript in the sense that you need this JavaScript, but the user doesn’t need all of it all at once. The user can’t click on all the buttons in the UI all at once. A user can’t be in every single menu all at once. Why does the code have to be in the browser all at once? That’s the thing that we’re going to talk about. Just if you don’t believe me, most sites fail the core web vitals. You would think that we would do good on this particular metric as an industry because it’s real money to be made, and as I said, if you don’t click on the site, a button, and if it doesn’t update quick enough, then issues arise in terms of profit or sales and conversion rates. You think that we would have motivations to fix this. If you look across the board, it’s red everywhere. Only a few sites like Amazon have the necessary resources to make it in the yellow, and green, a real website that actually has real traffic and has real users is almost unheard of. I’m sure there’s a Hello World website somewhere that the score is green, but I’m talking about real websites that has real money going through the system.

Example

To simplify the problem, I’m going to start with the simplest possible example you can think of, and let’s start with a counter. A counter is super simple. You have a button. You have some initial count, let’s say in this case is 123. When you hit on that button, the count increases. That’s the smallest app you can think of. The reason I like this app, is because there are three fundamental things going on in there. There’s a state, the initial state is 123. There is mutation, which is that listener, when you click on you mutate the state. Then there is a binding that binds the output to the UI. Whatever complicated application you have is just a more complicated version of this. Fundamentally, it’s all about state, mutation, and rendering. This is not a real-world example because all of those three things are inside of a single component. In real world, the world is a little more complicated. What we do is we’re going to break this up. We’re going to say, the state is declared in one component, the mutation in the other component, and the display in a third component. You can think of it as, what if this mutation is your add to the shopping cart button that’s here on a page. Then the shopping cart display is here on the page and they have to share state, and therefore, the least common route is what gets the state of the shopping cart and the button, and then that state gets passed into all of the required cases. The real-world apps really look like this. Whether it’s a counter or a shopping cart, is just more complicated version of it. Fundamentally, this is what we have. It looks like this. You have a counter, which contains the state, it’s not visual. You have the action, which contains the listener. You have the count which contains the display.

Still not complicated an app. Let’s introduce a couple more things. Typically, we have some kind of an AppRoot, which is a static piece of code that sets things up, sets out the layout, sets out basic headers and footers, and all kinds of other things. The other thing is that it’s not that the action, like the shopping cart is a direct child of the counter, usually there is some extra wrappers that go in there. The same thing for shopping cart. Shopping cart is not a direct child of where the state is stored, usually there’s extra components that are in the mix. A more realistic example would be that you have these extra components around you that wrap and pass the data. Fundamentally, you still have the state flowing through the system. A more complicated version would be something like this. I’m going to throw in one more complication, and it’s going to make sense why we’re doing this. That is, you probably want to have a leaf component, in this case, an action item or DisplayIcon. What I’ve done is I made certain of these components in dashed lines, because what I’m telling you is that, these components are fundamentally not needed for the running of the application. They’re just extra fluff that is needed for styling to get the right construct, mental models. They’re not there for the purposes of the application. The application really just wants to have the mutation, the state, and the render, everything else is unnecessary extra stuff. Because this is unnecessary extra stuff, one should be able to argue that, I don’t need this stuff. As part of SSR, I shouldn’t have to send this stuff over. This stuff is irrelevant. Or, I shouldn’t have to pay for it. If I make a super complicated app that has all of these extra wrappers and leaf icons, it shouldn’t negatively impact the performance of the application. Because at the end of the day, it’s just a counter, but it does. Let’s look into it more.

Now we have this more complex application where there’s all these extra wrappers. Now there’s an icon, which is a leaf in a sense. Again, I’m going to come back that like, fundamentally, the only thing that matters is that mutation changes the state, changes the rendering of the component, and everything else is just extra fluff. This is the stuff I want to load in terms of JavaScript, and everything else on the page should just be pure HTML. It should be not part of the discussion here. If the AppRoot or ActionWrapper or action item become complex in terms of the kind of HTML we’re sending over, that should not negatively impact us. Because, at the end of the day, if I was to build this in jQuery, the jQuery just has a listener on the button and update some DOM. All the other HTML is really just irrelevant to the whole thing.

Hydration

Let’s talk about hydration. What do frameworks need to work? Every single framework in the world requires these three things. I don’t care which framework you use, what’s your favorite, or whatever, these three things is what a framework needs. In order for the framework to do something useful, first, it needs to know where the listeners are. It needs to know their locations. It needs to know what code should be executed when you go and interact with it. Step one, you need to know where the listeners are. Now, you execute the listener. In this case, our listener is increment the counter. The listener basically says, count.value++, or something equivalent to that. Except that, what is the initial value of the count? Where does it come from? Frameworks also need to know the current application state. That’s not obvious. People don’t really think about it in terms of hydration. The listeners can’t do anything useful unless they have a current state of the application. That’s a requirement as well. The framework not only need listeners, they also need to know the application state. The last thing is, when the application state changes, the framework needs to know what to go and rerender. Because if the listener runs and changes some state, and there’s no rerendering, not very useful. The listener needs the application state, and the application state needs to know about where the component bindings are. If you don’t have this information, the framework cannot do anything useful. I don’t care which framework you have, these things are universally true.

How does hydration get all this information? Somewhere in there, there is a coolant of JavaScript’s main method, where the execution starts. When the execution starts, you’ll usually call some method like hydrate, and you pass in a root component, in this case, the AppRoot. The framework executes the AppRoot, and as the side effect of executing of AppRoot, the framework learns about the counter. Now the framework recurses and says, let me execute the counter. As it’s executing the counter, the framework learns about the state, and about two new components, ActionWrapper and DisplayWrapper. Now the framework goes and recurses into the ActionWrapper, and it learns about the action. As it learns about the action, it also learns that there is a listener at this particular location. Now the framework knows about the listener. It also knows about action item. It says, I don’t know, maybe there’s more listeners in the action items, or maybe there is state, or who knows what’s in there. I have no choice as a framework to go and execute the action item in order to find out what’s in there. Then the same thing happens on the right-hand side with the DisplayWrapper, running the display. In that case, the framework learns that there is now a data binding in this particular location. Now the framework knows that the state is data bound to the display, or rather that if the state changes, the display has to be rerendered. Similarly, it has to go back into the DisplayIcon in order to figure this out. If you look at this, you realize, all of this code just eagerly executed on the client. We had this picture of like, really, the only thing I need is the listener, and maybe the display in order to update the UI. In the process of booting up the framework, the side effect of the booter process, is every single component that was originally as part of the SSR just got executed. There just doesn’t seem to be a way around this.

Hydration Alternatives – Progressive Hydration

People know this. People know that hydration is a problem. I don’t think anybody’s arguing that hydration is great. There’s a lot of alternatives that are proposed to solve this problem. I think we’ve gotten to the point as an industry where everybody’s agreeing, hydration is a problem, so let’s see how we can solve this. Let’s look at the alternatives. One alternative that people propose is progressive hydration. Idea is not necessarily to execute less code, but to prioritize the order of execution. The way progressive hydration works is, imagine that somehow the framework could know ahead of time that there are going to be click listeners, and therefore the framework is setting up a global listener for clicks. Now, as the hydration is running, let’s say the hydration is taking a long time. As the hydration is running, the user goes and clicks on the particular action button right here. Now, when the framework gets to the counter, it learns about the ActionWrapper and DisplayWrapper. Now the framework has a choice, do I descend down the ActionWrapper path first, and then to DisplayWrapper, or do I do it in the other way? Which way should I do it? Typically, frameworks just do it in the order of declarations. In this particular case, the framework can say, actually, I have seen the fact that there was a click coming from this particular path, there may be a click listener, I don’t know. Why don’t I prioritize and start processing the ActionWrapper path first, just maybe if I find a listener, and if I find the listener, that I can replay that event into the listener to emulate the fact that the click has happened. A user goes and interacts with the button. That interaction tells the framework, go and prioritize this branch of the tree first, before you do the other. In the case of progressive hydration, you don’t execute less code, you still have to go and visit every single component. That doesn’t change. The order in which you execute the component has now been changed, optimized, improved, so that there is an illusion to the user that the application is more performant, because the click listener got processed first. Actually, to point out, notice an interesting thing here is that the framework in prioritize processing the action component, the listener, because it knows that the event comes from there, but once the event has come and you have mutated the state, the framework has no idea where that state is used. It needs to go and visit all the other branches and all the other components to see, maybe the state is used over there. Maybe it isn’t, I don’t know. It has no choice but to visit every single thing. If you look at progressive hydration report card, you see, it’s the same thing. You still have to eagerly download and execute all of this code. Nothing has changed. The performance to the user looks better. In terms of what’s actually happening under the hood, it’s still old parts happening.

Island Hydration

Then you can say, I could do an island. This is popular black Astro.js, and Fresh, and other frameworks. The idea is like, instead of hydrating the whole world, what if somehow I was told that AppRoot is static and irrelevant, and therefore, I’m going to skip that portion and instead start hydrating where it needs to be. The question is, could you make the island smaller? How do you know where to put the island? One way of looking at it is to say like, the island really has to encompass all of the state. In this particular case, we have no choice but to include the counter as the topmost island, because there needs to be a communication between it. If we make smaller islands, which I’ll show you, it becomes a little more complicated. In this case, you don’t get a lot of savings in this particular example, because there’s just AppRoot, but the AppRoot could be something that’s complicated. Depending on your use case, that actually might be a big saving. For example, if AppRoot represents a huge blog, and the island represents just the menu system, that’s a huge win. You can get a lot of benefits from this particular approach. In this case, the only thing the island is saving is the AppRoot, everything else still has to be there. Again, I’m pointing out that this AppRoot may be something complicated in the more real-world application, so it might look better.

The alternative would be, what if I make two islands next to each other? You can do that, but now there is a complication, which is that the state is actually outside of the island. If you think about it, an island is really just a small application on your page. Most frameworks have primitives to allow you to work with state within in the application. I’m not familiar much, in terms of frameworks having primitives for talking to other applications on a page. Now you have an inter-island communication problem. If you want to design your system this particular way, you can certainly do that, but somehow the state has to be passed across. The thing is, while the display was originally together in the same island, I could just use the framework primitives like passing state, updating the state, and everything works. Now that I’m inter-island communication, I cannot use the framework’s primitive to talk to the display, I have to use some other syntax, some other technology to do this. That means I can’t easily move the display from inside of the island to across the island because the communication channel, the API by which I talk to it has to change. That’s one problem. The other problem is, depending on how the state is set up, and different frameworks solve this in different ways, the state outside of the system may or may not be part of the SSR story, more complications. Certainly, with this particular approach, you can get a lot better. If you look at the report card, you can get 5.5, because the counter has state, and so some magic has to happen over there. You probably don’t need the counter, but you need something. You’re going to need some kind of a thing in that particular location to deal with this particular problem. As you can see, this approach gets you less code at the expense of more complications in terms of like, I need to solve inter-island communication problem, like how do I solve this?

Branch Pruning

The other technology that exists is branch pruning. The idea is, look at this. As a compiler, I’m going to execute the code. As part of the compilation process, I am going to notice that action item is a leaf. In other words, I’m going to notice that there is no listeners, no state, and no bindings in this particular location. Because all of those things are true that it’s basically static in all respects, I can essentially tree shake it away. The framework, I believe, Svelte and Solid knows how to do this. They basically say like, if it’s part of SSR or SSG, then the code that I’m going to send to the client doesn’t need to include instruction on how to generate action item, ActionIcon, or DisplayIcon, because that was already processed. I know that the information is static, and therefore it will never change. Therefore, we can prune those branches. With this trick, you can certainly get rid of the action item. Again, you’re going to see that you still have a lot of stuff inside of your eager column. The other thing I want to point out is, you can mix and match these. You can have a system in theory that has all of these properties. You can delete more stuff, as you can imagine.

Server Components

The other thing that’s super popular these days is the server components. Server components are interesting in that certain things execute only on a server. In theory, all the static bits can be server only. I say, in theory, because in practice, it’s a little more complicated. This particular diagram is not really true for server components. There is two ways to draw your component diagram. One is logical tree, and the other one is render tree. What this is showing is a render tree. This is how components actually get rendered in terms of how they’re nested inside of a div. Logically, the rule that the server components have is that you could be in a server side, but once you cross over to the client side, you cannot go back to the server side. How did I get DisplayWrapper and DisplayIcon to be server only, and I’ve crossed over the boundary? The way you do that is through projection. Most obvious projection is children inside of your component. There, you can also have extra attributes like, Icon JSX, that you can just pass in and pass the data that way. You can, if you’re very diligent, do this, that you can remove all of these components in React server components. In reality, it is unlikely that you’re going to go to the extreme where you’re going to try to project DisplayIcon, because DisplayIcon is multiple levels removed. You would have to do some real trickery in terms of projection in order to get there. Yes, in theory, it’s possible. In practice, the wrappers, for sure, you will be able to get rid of. I’m not so sure about the icons. I’m going to give them a half point each. You can see that the report card for React server components is less in terms of the amount of code that the hydration has to process. At this point, I think we should really define the word hydration. I know different people have different definitions. I define it in a very unique way, which is that, hydration is the act of running the application code to learn about the application. React server components, the reason why they don’t do hydration is because those components that you see over there, they never make it to the client. The framework does not execute the AppRoot, Action frame or DisplayWrapper as part of client hydration, because that code never executes. That’s why those components are not hydrated. They still are reconciled when they do VDOM diffing, but they’re not hydrated. I think the distinction makes sense. I think defining the hydration as attaching DOM listeners, I think is too broad, because jQuery qualifies. Most people will agree that jQuery is not hydration. That’s the server components.

Hydration is in Order

The other thing I want to point out about hydration is that hydration is in order, meaning that you can’t just start hydrating something in the middle of the tree. You always have to start at the root. Because if you start in the middle of the tree, that component probably has props from the parent. How is the framework supposed to get the props from the parent? It gets it by executing it first. That parent component, probably also has props and children from its parent, and so on and so forth. As you can see, you very quickly get like, I need to just execute at the root. Hydration has this property that it is in order. Progressive hydration prioritized which branches we went down. We can never just start in the middle or skip a few things and come back to it later. We always have to start with the root and go to the children. In the case of island architecture, what you’re doing is you’re creating new artificial roots for the hydration to start at. In that particular case, the developer is responsible for doing this by using some annotation or some extra information to tell the framework like, you need to start here to do your hydration. I think it’s super important to really understand this, that it’s in order. That you can’t skip around. You can’t just start in the middle. That doesn’t work. You have to start at the root. As I said earlier, you can combine all these strategies to come up with something that is an island architecture with React server components with partial hydration, to get the best of both worlds. I don’t know of any framework that can do all of those things. In theory, it’s possible.

Lazy Loading

Now that we covered the hydration and how hydration works and all those things, let’s talk about lazy loading. Why am I talking about lazy loading? Because when you build a big app, we talk about websites are slow. My argument is that the websites are slow because we send too much JavaScript. Let’s talk about lazy loading. Because if you come to somebody and say, my application is slow, what should I do? They’ll tell you, download less JavaScript, execute less JavaScript, problem solved. Lazy loading. Let’s say, you want to lazy load the display because your thinking goes like this, “I’m going to render a page. Unless somebody clicks on that button, I don’t need the display. I only need the display if somebody clicks on it. Ideally, I would like to be in a world where like, I don’t download that piece of code.” The thing you would do is you want to say, I want to take the display and move it out. First problem is actually, it’s more complicated than that, you don’t want to just take the display, you also want to take the display and everything that’s below it. Because if you just take the display, then you immediately go back to DisplayIcon, as the DisplayIcon comes with you, then that’s not helpful. It’s not just the display, it’s the display and everything it has underneath it. The first problem you actually have is just figuring out this graph, like where do I put this boundary? In the case of a counter, simple example, in the real world, it’s like a complicated problem. Where do I put the boundary? The second problem is, what components need to go with it? Again, not a simple thing to answer. The way of the lazy loading is, step one, you have to refactor the code by moving the code into the new file. That’s a lot of work. That’s a non-trivial amount of thing. For those of you who have tried to do lazy loading, I’m sure you’re going to agree with me that refactoring is not that simple, because things depend on things. It can be a lot of work to untangle everything. Now that you have this, what you’re going to do is you’re going to create a dynamic import. That’s the second bit you have to do. This dynamic import is going to be wrapped in some primitive from the framework. That primitive is going to give you a lazy loaded component. Then you take this lazy loaded component, and you put it in another primitive in a framework that basically says, lazy loading happens here, there’s a special rendering process that is involved. That’s a lot of steps. That’s a lot of stuff you have to do.

It gets worse. We just lazy loaded this thing. Now what happens during hydration? You start with AppRoot. AppRoot learns about the counter. Counter tells it about an ActionWrapper. That path goes as we would expect. The second path is DisplayWrapper. You come to the DisplayWrapper, and the DisplayWrapper says, I’m lazy loading a component. The framework is like, that’s nice, but is there a listener in there? I don’t know. How do I find out? I download it and execute it. All this work you have just done, just gets undone for you by hydration. I’m not saying lazy loading doesn’t ever work. There are many cases where lazy loading works, for example, on route boundaries, or for components that are currently not in the render tree. I’m saying that if a component is in the render tree, then lazy loading does not work. Because you go through this thing, and a hydration will make sure that that code gets loaded. Now, you made the situation actually worse. Because now the hydration will actually have to pause, download the code, and then continue. It gets even crazier, many frameworks the way they actually do this, is that they keep hydrating until they get to the DisplayWrapper. Then they see there’s a lazy loading boundary, and they say, let’s give up, wait for that to resolve. When it resolves, it restarts at the AppRoot, and see if it can go further. I’m not saying all frameworks do this, but many do it this way. Lazy loading is only useful for components that are not in the render tree. That is not obvious to people. Most people are just like, lazy load everything. It works. Look, there’s a primitive. Solve your problem. Not really. This is why I say that hydration is a saboteur of lazy loading.

The other place you could do lazy loading is you say, fine, forget the components. How about I do it on the events? What if I do it on the events? Can I take the onClick that I have here, and lazy load that? Same thing, pull it out into a separate file, and now you have a problem. You see, this ActionClickHandler needs a set count. A set count internally needs to know the state of the system, which is 123. How does it get that information? When it was inside of the button inside of the component, it closed over that information. The closures just closed over that information. Now that it’s in a separate module, it can’t close over it. What we have to leave behind is a trampoline function. A trampoline function serves two things. One, it tells the framework, there is a listener here, the listener didn’t disappear. Second, the trampoline function goes and collects all of the things that you need to close over, and then lazy load the code when you go and interact with it. Oftentimes, the trampoline function actually might be bigger than the actual code that you’re trying to lazy load. Because in case of a click handler, there’s not much to lazy load here. You do this, you do this, you’ve got the trampoline function. The trampoline functions are a problem in the sense that, even if you lazy load the listener, there needs to be something left behind that closes over the state. Without it, it just won’t work. I call them trampoline functions.

You did all this, and now you have a new problem, and that is prefetching. Now that you lazy load everything, suppose you could somehow succeed in lazy loading. I just showed you that you won’t succeed. Let’s suppose you succeeded somehow. Now you have a new problem, which is that you are on a mobile device, everything loads fast, and you click on a button, and now you have to wait for the network to go and fetch the lazy loaded code and bring it back. Then you get the behavior that you want. If you had lots of small, lazy loaded chunks, there might be a waterfall effect that happens with it. The way we deal with this is through prefetching. Prefetching basically tells the browser, “I know I don’t need this code yet, but I may in the future. Why don’t you go and start downloading this code on a lower priority than everything else. When you download everything, just keep it in the cache, and then I may or may not ask for it. Make sure it’s there.” The problem is that, in most frameworks I am not aware of having any prefetching API. Let’s say you lazy load this particular listener, the click listener, how do I just tell the framework that that particular chunk needs to be prefetched? By what mechanism? What API do I call to tell the framework, make sure this thing is ready so that the user when it clicks on, there’s no delay? Most frameworks will have prefetching, and the automatic lazy loading of route boundaries. If I go from route A to route B, many frameworks will prefetch the route transition, which is great, but they won’t do anything for the code that I have manually refactored for lazy loading. That is up to me. The problem is, the more lazy loaded chunks I have, the more chunks I have to tell the system to prefetch. The whole just bookkeeping, of keeping track of which chunks are where, and when do you download them, and how do I make sure that I’m not missing a chunk, or how do I even know what the chunk name is? When I lazy load the thing, the bundler will munge this and produce a file name that contains a hash in it. How do I tell this hash to the framework to prefetch? All of these problems are problems that frameworks don’t really solve. You’re on your own. The frameworks say, you’re too slow, lazy load. Do you have a solution? It’s on your own, figure it out. Lazy loading only really works when a component is not in the render tree, which means it’s great for routes and it’s great for modals. When I click on a button and a modal pops out, all the modal stuff, lazy load it, great. That works just fine.

Resumability

Let’s step back and say, could we have a completely different solution? Could we just eliminate this hydration problem? Because the dehydration is the source of this all, could we make this just go away? Let’s review back and say, what do frameworks need? All frameworks, as I said, need the listener location, the application state, and the components. There’s no way around this problem. The way we get this information with hydration is we get it by executing the application code. That’s what defines the word hydration. This is why I define it in this particular way. Because the way you get this information is you execute the application. The execution of the application is what ruins your day, because it means you have to download all the code, and you have to execute all the code. The hydration, the way it works, is that you have a server-side rendering or SSG, so the build time or runtime doesn’t matter. Inside of it, you take your code, you execute it. The act of executing of the code gives you the location of the bindings, the location of the state, and the location of the listeners. You then take this particular thing and you turn it into HTML, and the browser gets the HTML. The browser is like, great, let me boot up the framework. I need that information. What the browser does is it says, let’s grab the code. Let’s execute the code. As the process of executing the code, I’m going to learn about the bindings, the state, and the listeners, and now the application is working.

Let’s look at resumability. We start with SSR, SSG just like before. Just like before, the framework runs all of this code, nothing’s changed. Just like before, we produce HTML. What if inside of the HTML, we also added the information to the framework about where the bindings are, what is the initial state of the system, and where the listeners are? If we added all this information, and we’re not adding the source code, we’re just adding the metadata about where the stuff is. We’re just adding the metadata to it. Then on the client, the client wakes up, the framework wakes up, and it just has the data, nothing to do. The data got transferred as part of the HTML. What you’re avoiding is this part right here. It doesn’t look like a big part on my slide here, but this is the core problem of performance. Download and execution of that code is really what’s making everything slow. If you can skip that bit right there, then all of a sudden, you have a huge benefit. Hydration basically says, the first block here is supposed to represent the HTML. You download the HTML, then you download the code, then you execute the code. Then you do reconciliation. You figure out the delta between the VDOM you got and what you actually got inside of the HTML. Resumability just gets, here’s the HTML, and you’re done. You don’t have to do anything. Until there’s an interaction, then you have to do stuff. There’s nothing you have to do. You don’t have to eagerly download the code. You don’t have to eagerly execute the code. You don’t have to eagerly reconcile the code. Because the framework already knows where the listeners are, it already knows what the state of the system is, and it already knows where the bindings are, so we can just skip all that.

There are several frameworks that do this. Qwik is one of them. This is the framework I work on. There’s Marko from eBay. Marko has been around for a long time. Recently, in version 6, they just added resumability. We’re not the only ones who do this. More importantly, Google has a framework called Wiz. Wiz has been around for about 10 years. It depends how you define the word resumability, you can argue whether Wiz is resumable or not. Fundamentally, the idea on a high enough level is the same exact thing, is that you don’t eagerly want to execute code. Wiz is actually used in Google Search, Google Photos, and few other Google products. I don’t know if you notice, but Google Search is pretty fast. As a matter of fact, have you ever gotten to the situation in Google Search, where you type stuff and hit the search button, and a search button wasn’t ready? Have you ever had that experience with Google Search? The answer is no, you never had that experience, because Search does not do hydration. As a result, it’s immediately ready for you. In a case of an application like this, what information gets serialized as part of the resumability? The answer is, the green arrow and the red boxes. That’s the information that gets serialized. The big difference on the report card is the eager part of the application is nothing, there is no eager execution whatsoever. When you do actually finally interact with the application, the only thing you need is the listener, not even the action component, just the listener inside of the action component. You are really surgical about it. You’re like, I just need the function, I don’t need the whole thing, the whole world. You may or may not need the display. I’m going to give it a half a point. The reason I’m giving it a half a point is because it depends how display is implemented. If the update requires no structural change to the DOM, only update of an attribute or a value, then in that case the system doesn’t even need the display, because the system knows that this value is directly bound to this attribute and a DOM. If the display actually changes structurally, then you need the display component as well. Notice what you don’t need, you don’t need the parent of the display, which is the DisplayWrapper. You don’t need the child, just the display action, because those things are static, and the system just automatically removes this information. Many frameworks know how to do this already, except for one problem. For example, Svelte and Solid will do exactly this on interaction, except that in order for them to learn about the application, they have to execute the application. Once the application is executed, they can do this. The initial one is, where did you get bitten? Like, how does the framework learn about it? It learns about it by executing everything, and that’s why you get. Resumability is a much better approach, because there’s nothing that has to happen eagerly. Now imagine you have your application that has nothing that you have to happen eagerly, wouldn’t the application start up faster? Of course, it would, because there’s no JavaScript you’re going to have to execute or download. Then you just have the problem, there is the actual code that needs to run when you go and interact with the application.

Performance Optimizations

If you think about performance optimizations, there’s a lot of ways to make application slow. Fundamentally, it falls into three main categories, load less code, do less, and don’t duplicate work. Load less code is lazy loading. Do less is lazy execution. Don’t duplicate work is basically what a lot of frameworks have, which is memoization. Use memo or something like that. What if you had a framework, which basically says, everything in a framework just works this way. As a developer, you don’t have to think about lazy loading, lazy execution, or memoization. It’s just the way the framework is set up, all of those bases are just covered out of the box. You don’t have to think about. The end result would be like, you could still shoot yourself in the foot in other ways, but it wouldn’t be those three ones. Those are the main ones that usually people will have to worry about.

Qwik Insights

Now we get to the next problem, which is prefetching, which is that, if Qwik is lazy, and Qwik doesn’t download the code until you click on the button, then you have the same problem again, of prefetching. How do you know what code needs to prefetch to the client? Because otherwise, on first interaction, you’re going to be slow, because you’re going to have to go through the network to get the code that you need, one. Two, you may generate lots of waterfall requests where you load the code, and the code says, now I need more stuff, and I need more stuff. Qwik comes with something called Qwik Insight. What Qwik Insight does is it monitors your application as it’s running, and it collects statistical data that’s completely anonymous. The only thing we collect is a timestamp. Each function, we call it a symbol, has a hash. All we need to know is the hash of this particular function, and when exactly it happened. From this information, we can answer two very important questions. Question one is clustering. For example, you can see this correlation matrix that I have over here, and I’m hovering over a specific pixel. This pixel is telling me that if the system needs the first symbol, then there is a 19% chance you’re also going to need the second symbol. With that information, the system can come up with optimized bundles that basically says, “Take all these symbols, put them in this bundle. Take these other symbols, put them in this bundle. Take these symbols, put them here.” Question one, to answer for you is, how do I colocate code into bundles to minimize waterfalls. Qwik Insight can do that based on real behavior of real users. If you have an app, and there’s a big call to action button, and everybody clicks on that, that is going to be together with all the code that requires to be run. If there is another button that nobody almost ever clicks on, then you shouldn’t put that code together inside of the main one, because that’s unnecessary code that you’re sending across. That’s one. The second question you want to answer is, in which order should the code be downloaded? Because even if the button is not used, or very rarely used, you should still load it so that in case you go and interact with the page, you will have a cache hit. The Qwik Insight produces clustering information, which means, minimize the waterfalls, and also produces a list of bundles that are needed for a particular route. Now, when you create a next build of your application, that information is fed into it, and the new version of the application now, all of a sudden, behaves a lot better over time. We collect all this statistical data about how the different parts of the system are used. The side effect of this is, as a developer, you can also look at your code, and you can see like, which pieces of code are used a lot in production, and which almost nobody ever uses? Is it safe to change this particular function? I don’t know. Let me look, nobody ever uses it. Sure, you can delete it. Get rid of it. Nobody cares. Or it’s a very hot path that matters over here.

Conclusion

The argument I’m trying to make here is that if you have a resumable system, typically when you build your application, you start developing and the performance slowly gets worse. At some point, you get fed up and you’re like, I need to do something about it. Then there is a period of a couple of sprints, when you’re just optimizing everything. You’re putting memos everything, you lazy load everything, and the performance improves to the point where you’re like, it’s good enough. I don’t have to do anything more. You start working on features, and the performance starts going down again. At some point, you’re like, this is too slow. I have to do something, and you have an optimization sprint to fix it. The nice thing about systems that are resumable and have lazy loading built into the framework, is that you don’t have to do those optimization steps. At least not in those three categories that I talked about. You can just develop your code, and you know that out of the box without any effort on the developer’s part, you get the optimal lazy loading, you get lazy execution, you get optimization of bundles using statistical models to figure out in which order it should be downloaded. Therefore, you don’t have to spend time optimizing your application and you’re going to be able to finish your app faster. That’s my argument is that those three categories of problems that a lot of developers have to solve when they use [inaudible 00:48:02], those three sets of problems basically disappear, if you think about it. In other words, my personal opinion is that lazy loading is a property of the framework, and it should not be given to the developer. Because I have shown you that developer doesn’t really have both the freedom to do things that they would like, because hydration is in the way, but also the knowledge in a sense of like, how do I know where the best location for lazy loading is? That knowledge is gained through profiling, not through somehow looking at the code.

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