Month: September 2022

Article originally posted on InfoQ. Visit InfoQ

By identifying usage trends, you can proactively adjust load, scaling, and routing to better handle the load on particular parts of the globe when you know it will peak there, says Craig Risi. Data about how users interact with your application can be used to design future features that better mimic these patterns and ensure that new features have a better chance of solving real user problems and getting suitably adopted.

Risi will talk about using data to predict future usage at Agile Testing Days 2022. This conference will be held November 21-24 in Potsdam, Germany.

According to Risi, having data from actual usage patterns and understanding which paths in a website are used most often can help to determine the correct load requirements and decide on future work that should be developed based on what is important to your clients.

Another area of data to monitor is system errors and the issues raised by the users through the support teams, as Risi explains:

Having a look at system errors and then trying to understand them helps to prevent them from happening in the future. And as for issues that users experience, it’s a good way to understand potential modifications or defects that need to get addressed and then prioritize that in the development cycles to give a better user experience. Even if it’s a minor thing, if many users are complaining about it, then it’s worthwhile to change it. This has the added benefit of showing customers that you take their feedback seriously and they are more likely to keep using your applications as a result.

According to Risi, most software issues don’t just happen. There were events, whether it be user, data, security, or performance related that caused them to happen. Some of these might be odd anomalies and obvious errors that need to be fixed, but by understanding clients’ usage and overall system performance, and the events that lead up to performance and security issues, you will be able to both change your software to better support these needs and identify potential issues before they arise:

I have found this especially true of performance issues where you can monitor different aspects of system performance and very reliably identify when system performance is tracking towards bottleneck or failure and be able to prevent this from happening. Either by adjusting the load or fixing the issue immediately.

InfoQ interviewed Craig Risi about using data to increase user experience.

InfoQ: How do you use data to understand how the system behaves and how users experience it?

Craig Risi: We can track the actual performance of the underlying software and servers, depending on laid across different times of day and the year. Here you can measure actual response times of services, DB requests, and UI rendering. This is measured in conjunction with things like CPU and memory usage of the underlying VMs or servers to help identify how the application and code perform in certain conditions and identify where further optimization can be made while being able to correctly predict load requirements for the future.

This is not a removal of traditional performance testing, but is done in conjunction with it. Most performance and laid testing deals with expected usage are laid across specialized conditions and environments, which may not always be indicative of actual usage. So monitoring this gives a better idea of what is actually happening with the performance of the software and system and should help shape the future direction of performance testing, along with system optimization.

InfoQ: What benefits did you get from gathering and using data?

Risi: It taught me an awful lot about how users use our system, understanding what is important to the client, and also getting a better insight into how our different development teams work.

I was able to first adjust our development schedule to focus on things that mattered to our clients and would provide a better user experience.

And in understanding our issues and what is causing them, I was able to drive big organisational change in the way teams and the company operated which helped to improve our development processes, testing apps and prevent issues from occurring. This was especially effective in new teams which had yet to establish a good working pattern, but could leverage these learnings from other teams to prevent them from occurring in their own code.

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Global NoSQL Software Market Report industry size, share, growth, trends and forecast analysis up to 2027. NoSQL Software Market Report also covers top key players, porters five forces analysis and market segmentation in detail. This report examines the global NoSQL Software market and provides information regarding the revenue for the period 2020 to 2027.

The research report on ‘ NoSQL Software market’ provides a detailed assessment of the industrial outlook while elaborating on the numerous market segmentations. Additionally, the report provides notable inputs in terms of the impact of COVID-19 on the industry growth. An analysis of various drivers, opportunities, and restraints influencing the industrial outlook is also covered in the study. Furthermore, it also elaborates on the regional landscape as well as the competitive terrain of the NoSQL Software market. The document underlines key aspects of the NoSQL Software market like the current revenue and sales stats and the estimated figures during the analysis period.

The report also consists of detailed insights on product information and ranks the manufacturers operating in the NoSQL Software market based on the revenue generated. The report is structured using analysis principles including Porter’s five forces analysis, bottom-up and top-down approach, and data triangulation.

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A gist of the regional landscape of the NoSQL Software market:

• According to the report, the regional outlook of the NoSQL Software market is fragmented into North America, Asia-Pacific, Europe, Central & South America, Middle East & Africa.
• It further bifurcates the regional analysis into country-wise analysis.
• Detailed insights related to the market share, sales, and revenue generated are also incorporated in the report.
• Market facts based on type, and application segment of every region is also evaluated in this report.
• Predicted growth rate that each region is anticipated to register during the analysis timeframe is cited in the report.

Elaborating the competitive scale of the NoSQL Software market:

• As per the report, MongoDB Amazon ArangoDB Azure Cosmos DB Couchbase MarkLogic RethinkDB CouchDB SQL-RD OrientDB RavenDB Redis Microsoft companies formulate the competitive terrain of NoSQL Software market.
• Important company-related information such as business overview, revenue generated, sales, and gross margin are cited in this report.
• Products offered by the companies and recent developments that occurred in the company are also included in the report.

Other takeaways from the report which will influence the NoSQL Software market remuneration:

• The report segments the type terrain into Cloud Based and Web Based.
• The report forecasts the sales, revenue generation, average selling price, the growth rate of the type terrain.
• The application spectrum of the NoSQL Software market is classified into E-Commerce , Social Networking , Data Analytics , Data Storage , Others , ,By Region , North America , U.S. , Canada , Europe , Germany , France , U.K. , Italy , Russia , Nordic , Rest of Europe , Asia-Pacific , China , Japan , South Korea , Southeast Asia , India , Australia , Rest of Asia , Latin America , Mexico , Brazil , Rest of Latin America , Middle East & Africa , Turkey , Saudi Arabia , UAE , Rest of MEA , ,By Company , MongoDB , Amazon , ArangoDB , Azure Cosmos DB , Couchbase , MarkLogic , RethinkDB , CouchDB , SQL-RD , OrientDB , RavenDB , Redis and Microsoft.
• Data pertaining to market size, product demand, revenue generation, product price, and growth rate estimates for application spectrum is also enlisted.
• Important aspects like value chain and sales chain analysis is covered in this report.
• A granular study on distribution channel, including producers, distributors, and end-users are underlined in the report.
• Manufacturer merger and acquisitions, and expansion plans are also included in this study report.

What are the market factors that are explained in the report?

Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

Analytical Tools: The Global NoSQL Software Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

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MongoDB Inc. (NASDAQ:MDB) has a beta value of 0.98 and has seen 2.09 million shares traded in the last trading session. The company, currently valued at $16.10B, closed the last trade at $221.34 per share which meant it gained $0.76 on the day or 0.34% during that session. The MDB stock price is -166.56% off its 52-week high price of $590.00 and 3.59% above the 52-week low of $213.39. If we look at the company’s 10-day average daily trading volume, we find that it stood at 2.3 million shares traded. The 3-month trading volume is 1.64 million shares.

The consensus among analysts is that MongoDB Inc. (MDB) is an Overweight stock at the moment, with a recommendation rating of 2.00. 1 analysts rate the stock as a Sell, while 2 rate it as Overweight. 5 out of 23 have rated it as a Hold, with 15 advising it as a Buy. 0 have rated the stock as Underweight. The expected earnings per share for the stock is -$0.28.

Sporting 0.34% in the green in last session, the stock has traded in the red over the last five days, with the highest price hit on Monday, 09/19/22 when the MDB stock price touched $221.34 or saw a rise of 16.08%. Year-to-date, MongoDB Inc. shares have moved -58.19%, while the 5-day performance has seen it change -20.53%. Over the past 30 days, the shares of MongoDB Inc. (NASDAQ:MDB) have changed -37.39%. Short interest in the company has seen 3.87 million shares shorted with days to cover at 2.34.

Wall Street analysts have a consensus price target for the stock at $360.01, which means that the shares’ value could jump 38.52% from current levels. The projected low price target is $300.00 while the price target rests at a high of $445.00. In that case, then, we find that the current price level is -101.05% off the targeted high while a plunge would see the stock gain -35.54% from current levels.

MongoDB Inc. (MDB) estimates and forecasts

Figures show that MongoDB Inc. shares have outperformed across the wider relevant industry. The company’s shares have lost -44.40% over the past 6 months, with this year growth rate of 45.76%, compared to 2.30% for the industry. Other than that, the company has, however, increased its growth outlook for the 2022 fiscal year revenue. Growth estimates for the current quarter are -16.70% and -27.30% for the next quarter. Revenue growth from the last financial year stood is estimated to be 36.40%.

16 analysts offering their estimates for the company have set an average revenue estimate of $282.4 million for the current quarter. 16 have an estimated revenue figure of $294.85 million for the next quarter concluding in Oct 2022.

If we evaluate the company’s growth over the last 5-year and for the next 5-year period, we find that annual earnings growth was 3.70% over the past 5 years.

MDB Dividends

MongoDB Inc. is expected to release its next earnings report between March 07 and March 11 this year, and investors are excited at the prospect of better dividends despite the company’s debt issue.

MongoDB Inc. (NASDAQ:MDB)’s Major holders

Insiders own 3.68% of the company shares, while shares held by institutions stand at 90.86% with a share float percentage of 94.33%. Investors are also buoyed by the number of investors in a company, with MongoDB Inc. having a total of 815 institutions that hold shares in the company. The top two institutional holders are Price (T.Rowe) Associates Inc with over 8.23 million shares worth more than $3.65 billion. As of Mar 30, 2022, Price (T.Rowe) Associates Inc held 12.09% of shares outstanding.

The other major institutional holder is Capital World Investors, with the holding of over 6.45 million shares as of Mar 30, 2022. The firm’s total holdings are worth over $2.86 billion and represent 9.46% of shares outstanding.

Also the top two Mutual Funds that are holding company’s shares are Growth Fund Of America Inc and Vanguard Total Stock Market Index Fund. As of Jun 29, 2022, the former fund manager holds about 6.78% shares in the company for having 4.62 million shares of worth $1.2 billion while later fund manager owns 1.83 million shares of worth $812.81 million as of Mar 30, 2022, which makes it owner of about 2.69% of company’s outstanding stock.

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

Posted on mongodb google news. Visit mongodb google news

The database market is massive (the IDC estimates it to be $119B+ by 2025!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

We’re looking for a dynamic and empowering Sales Development Manager who will be responsible for building and leading a team of enterprise SDRs. The role focuses on leadership, development and a high performance culture to execute against our rapid sales goals.

The Opportunity

In this role, you will have two core priorities: Talent Development & Revenue Development. We view our Account Development Representatives as the next wave of Account Executives at MongoDB. A Sales Development leader at MongoDB hires outstanding talent, maps out the gaps in that rep’s skillset, holds them accountable to reaching their potential, and takes pride in turning that ADR into an AE. You will also be a key asset to our Enterprise Sales organization, partnering with regional leaders across our sales organization, you will be a crucial part of uncovering new opportunities, determining how to unlock new territories, and driving revenue into our pipeline.

Day to Day

• Attract, hire, retain, and develop talent 
• Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology. 
• Be involved in prospect qualification and discovery calls/meetings 
• Provide weekly team performance summary as well as timely and accurate forecast to senior management based 
• Cross functional collaboration to establish scalable processes for incoming lead management and follow-up SLAs and conversions
• Develop and own KPI’s, supervise the activity of the team, track the results and drive team execution based on those metrics
• Work closely with Field Sales and Inside Sales management to drive increased performance and align pipeline production to our Sales team’s needs

What You Will Bring to the Table

• 2+ years experience prospecting as an individual contributor and closing
• 2+ years experience leading/managing with a track record in hiring, developing and promoting
• Complex enterprise software experience in a comparable company (technical and multi level decision making)
• Experience in open source software sales is a distinct advantage
• Excellent verbal, written, listening, and presentation skills. You must be credible with direct reports, customers, recruitment candidates, and internally across the organization at all levels including senior management
• Top performer, Results oriented, with a track record of overachievement (President’s Club, Rep of the Year, etc.)
• Experience using and implementing a sales methodology

Things We Love

• Familiarity with database, web server, and open source technology
• Working experience with Salesforce.com

Why You Should Apply

• Great Earning Potential 
• Welcoming and inclusive workplace Meet MongoDB’s Employee Affinity Groups!
• Continuous career development
• Sales training in MEDDIC and Command of the Message
• Benefits include: 
• Sales Bootcamp
• Internal mentor and buddy program cross-departmentally
• Restricted Stock Options for New Hires and Competitive Employee Stock Purchasing Program

This role is remote optional until April 4, 2022, we are looking to speak to candidates who plan to be available in Austin for when we introduce our hybrid model.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Article originally posted on InfoQ. Visit InfoQ

Oracle has released version 19 of the Java programming language and virtual machine. The seven JEPs in this final feature set include:

The feature cadence for Java 19 is similar to that of the nine new features in JDK 18, but lower than the: 14 features in JDK 17; 17 features in JDK16; 14 features in JDK 15; and 16 features in JDK 14.

This release features JEPs that provide continued contribution toward Project Amber, Project Loom and Project Panama along with a new feature that ports the JDK to the Linux/RISC-V instruction set. We examine a few of these new features here. It is worth noting that there were no JEPs representing Project Valhalla in JDK 19.

Project Panama

JEP 424 and JEP 426 fall under the auspices of Project Panama, a project designed to improve and enrich interoperability between the JVM and well-defined “foreign,” i.e., non-Java, APIs that will most-likely include interfaces commonly used within C libraries.

JEP 424, Foreign Function & Memory API (Preview), introduces an API for Java applications to interoperate with code and data outside of the Java runtime by efficiently invoking foreign functions and by safely accessing foreign memory that is not managed by the JVM. This JEP evolves: JEP 419, Foreign Function & Memory API (Second Incubator), delivered in JDK 18; and JEP 412, Foreign Function & Memory API (Incubator), delivered in JDK 17; to incorporate improvements based on Java community feedback.

JEP 426, Vector API (Fourth Incubator), incorporates enhancements in response to feedback from the previous three rounds of incubation: JEP 417, Vector API (Third Incubator) (delivered in JDK 18), JEP 414, Vector API (Second Incubator) (delivered in JDK 17), and JEP 338, Vector API (Incubator), delivered as an incubator module in JDK 16. JEP 426 proposes to enhance the Vector API to load and store vectors to and from a MemorySegment as defined by JEP 424, Foreign Function & Memory API (Preview).

A working application on how to implement the Foreign Function & Memory API may be found in this GitHub repository by Carl Dea, senior developer advocate at Azul.

Project Loom

JEP 425 and JEP 428 fall under the auspices of Project Loom, a project designed to explore, incubate and deliver Java VM features and APIs built for the purpose of supporting easy-to-use, high-throughput lightweight concurrency and new programming models. This would be accomplished via virtual threads, delimited continuations and tail calls.

JEP 425, Virtual Threads (Preview), introduces virtual threads, lightweight threads that dramatically reduce the effort of writing, maintaining, and observing high-throughput concurrent applications, to the Java platform.

JEP 428, Structured Concurrency (Incubator), proposes to simplify multithreaded programming by introducing a library to treat multiple tasks running in different threads as a single unit of work. This can streamline error handling and cancellation, improve reliability, and enhance observability.

Working applications on how to implement the Virtual Threads and Structured Concurrency APIs may be found in: this GitHub repository by Nicolai Parlog, Java developer advocate at Oracle; and this GitHub repository by Bazlur Rahman, Senior Software Engineer at Contrast Security.

Project Amber

JEP 405 and JEP 427 fall under the auspices of Project Amber, a project designed to explore and incubate smaller Java language features to improve productivity.

JEP 405, Record Patterns (Preview), proposes to enhance the language with record patterns to deconstruct record values. Record patterns may be used in conjunction with type patterns to “enable a powerful, declarative, and composable form of data navigation and processing.” Type patterns were recently extended for use in switch case labels via JEP 406, Pattern Matching for switch (Preview) (delivered in JDK 17), and JEP 420, Pattern Matching for switch (Second Preview) (delivered in JDK 18).

JEP 427, Pattern Matching for switch (Third Preview), incorporates enhancements in response to feedback from the previous two rounds of preview: JEP 406, Pattern Matching for switch (Preview) (delivered in JDK 17), and JEP 420, Pattern Matching for switch (Second Preview) (delivered in JDK 18). Changes from JEP 420 include: guarded patterns are replaced with when clauses in switch blocks; and runtime semantics of a pattern switch are more closely aligned with legacy switch semantics when the value of the selector expression is null.

A working application on how to implement the Record Patterns and Pattern Matching for switch APIs may be found in this GitHub repository, java-19 folder, by Wesley Egberto, Java technical lead at Global Points.

JDK 20

No JEPs have been Targeted or Integrated for inclusion in JDK 20 at this time. However, based on recently submitted JEP drafts and JEP candidates, we have surmised which JEPs have the potential to be included in JDK 20 in this more detailed news story.

The formal release date for JDK 20 has not yet been announced, but it is expected to be delivered in mid-March 2023 as per the six-month release cadence. Developers can anticipate a feature freeze in mid-December 2022.

JDK 19 may now be downloaded from Oracle with binaries from other vendors expected to become available in the coming days.

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Moody National Bank Trust Division reduced its holdings in shares of MongoDB, Inc. (NASDAQ:MDB – Get Rating) by 55.8% during the second quarter, according to its most recent disclosure with the Securities and Exchange Commission (SEC). The fund owned 1,319 shares of the company’s stock after selling 1,662 shares during the period. Moody National Bank Trust Division’s holdings in MongoDB were worth $343,000 at the end of the most recent reporting period.

A number of other institutional investors and hedge funds have also bought and sold shares of the business. Covestor Ltd purchased a new stake in shares of MongoDB during the fourth quarter valued at approximately $43,000. Private Advisor Group LLC boosted its stake in shares of MongoDB by 22.5% during the fourth quarter. Private Advisor Group LLC now owns 5,060 shares of the company’s stock valued at $2,678,000 after purchasing an additional 931 shares during the period. abrdn plc boosted its stake in shares of MongoDB by 5.3% during the fourth quarter. abrdn plc now owns 6,339 shares of the company’s stock valued at $3,355,000 after purchasing an additional 319 shares during the period. Charles Schwab Investment Management Inc. boosted its stake in shares of MongoDB by 4.7% during the fourth quarter. Charles Schwab Investment Management Inc. now owns 200,318 shares of the company’s stock valued at $106,039,000 after purchasing an additional 9,005 shares during the period. Finally, O Shaughnessy Asset Management LLC boosted its stake in shares of MongoDB by 34.7% during the fourth quarter. O Shaughnessy Asset Management LLC now owns 1,219 shares of the company’s stock valued at $645,000 after purchasing an additional 314 shares during the period. 89.85% of the stock is currently owned by institutional investors.

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MongoDB Price Performance

Shares of NASDAQ:MDB opened at $221.34 on Tuesday. MongoDB, Inc. has a 1-year low of $213.39 and a 1-year high of $590.00. The company has a debt-to-equity ratio of 1.70, a current ratio of 4.02 and a quick ratio of 4.02. The business has a fifty day moving average price of $306.10 and a 200-day moving average price of $317.61. The company has a market capitalization of $15.21 billion, a PE ratio of -41.29 and a beta of 0.95.

MongoDB (NASDAQ:MDB – Get Rating) last posted its earnings results on Wednesday, August 31st. The company reported ($1.69) earnings per share (EPS) for the quarter, missing the consensus estimate of ($1.52) by ($0.17). MongoDB had a negative net margin of 33.43% and a negative return on equity of 52.05%. The company had revenue of $303.66 million for the quarter, compared to the consensus estimate of $282.31 million. During the same quarter in the prior year, the company posted ($1.15) EPS. MongoDB’s revenue was up 52.8% on a year-over-year basis. As a group, equities analysts expect that MongoDB, Inc. will post -5.36 EPS for the current fiscal year.

Insider Activity at MongoDB

In related news, CEO Dev Ittycheria sold 4,991 shares of the firm’s stock in a transaction that occurred on Tuesday, July 5th. The shares were sold at an average price of $264.45, for a total value of $1,319,869.95. Following the sale, the chief executive officer now owns 199,753 shares in the company, valued at $52,824,680.85. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at the SEC website. In related news, CEO Dev Ittycheria sold 4,991 shares of the firm’s stock in a transaction that occurred on Tuesday, July 5th. The shares were sold at an average price of $264.45, for a total value of $1,319,869.95. Following the sale, the chief executive officer now owns 199,753 shares in the company, valued at $52,824,680.85. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at the SEC website. Also, insider Thomas Bull sold 489 shares of the firm’s stock in a transaction that occurred on Tuesday, July 5th. The stock was sold at an average price of $264.45, for a total transaction of $129,316.05. Following the completion of the sale, the insider now owns 17,104 shares in the company, valued at approximately $4,523,152.80. The disclosure for this sale can be found here. Insiders have sold a total of 69,789 shares of company stock worth $18,925,825 over the last quarter. Company insiders own 5.70% of the company’s stock.

Analyst Upgrades and Downgrades

A number of research firms have recently weighed in on MDB. Redburn Partners began coverage on MongoDB in a research note on Wednesday, June 29th. They set a “sell” rating and a $190.00 price objective for the company. Mizuho raised their price target on MongoDB from $270.00 to $390.00 and gave the stock a “buy” rating in a research note on Wednesday, August 17th. Citigroup dropped their price target on MongoDB from $450.00 to $445.00 and set a “buy” rating for the company in a research note on Thursday, September 1st. Barclays dropped their price target on MongoDB from $438.00 to $360.00 and set an “overweight” rating for the company in a research note on Thursday, September 1st. Finally, Stifel Nicolaus dropped their price target on MongoDB from $340.00 to $320.00 and set a “buy” rating for the company in a research note on Thursday, September 1st. One analyst has rated the stock with a sell rating and eighteen have issued a buy rating to the stock. Based on data from MarketBeat.com, the company currently has a consensus rating of “Moderate Buy” and an average price target of $386.83.

MongoDB Company Profile

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MongoDB, Inc provides general purpose database platform worldwide. The company offers MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.

Further Reading

• Get a free copy of the StockNews.com research report on MongoDB (MDB)
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• Autozone Shifts Back Into Rally-Mode, New Highs Are In Sight

Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDB – Get Rating).

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Article originally posted on InfoQ. Visit InfoQ

Akka, a toolkit for writing concurrent distributed applications based on the actor model, was created thirteen years ago by Jonas Bonér, founder and CEO at Lightbend. The company has recently announced a new Akka license model that has changed from the open-source Apache 2.0 to the source-available Business Source License (BSL) 1.1.

This means the Akka codebase is only free to use for development and on non-production systems. The BSL 1.1 license allows projects to choose another license after a specific period of time that will replace the BSL 1.1 license. Lightbend chose to revert the BSL 1.1 license back to an Apache 2.0 license after three years. Several other open source projects, such as Couchbase, Sentry and MariaBD, have moved to the BSL 1.1 license over the past several years.

The new license affects all companies with a revenue above 25 million dollars who wish to use the latest version of Akka. Current versions may still be used freely, but only critical security updates and patches are released for version 2.6.x under the current Apache 2.0 license until September 2023. Open source projects may contact Lightbend for an Additional Use Grant, which was already granted to the Play Framework.

Lightbend published the prices for production systems per core per year starting at 1,995 USD for the Standard package and 2,995 USD for the Enterprise package. These are standard prices and volume discounts might be applied.

Lightbend still encourages community members to contribute to Akka, which is permitted by the new license.

Bonér gave the following explanation for the new license:

We have decided to change Akka’s license to ensure a healthy balance between all parties, shared responsibility, and, by extension, contribute to Akka’s future development.

In the blog, Bonér details that open source software is created more-and-more by companies instead of individuals, and the companies using open source are more reluctant to pay for the software as they run it themselves. The new license model should spread the maintenance effort and cost as large companies will have to pay Lightbend to use Akka. Lightbend will then use that money to further maintain and evolve Akka.

The license change was heavily discussed by users of the Akka toolkit on social media platforms such as on Twitter, where the different options were discussed. Some of the comments included: companies might pay the license fee or remove Akka from their projects. It was even suggested that one company will buy Lightbend and revert the license back to an open source alternative. Some users debated whether or not an open source community fork will be created in the future.

More information about the licensing change can be found in the Akka License FAQ.

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The price of MongoDB Inc. (NASDAQ: MDB) closed at 220.58 in the last session, down -5.54% from day before closing price of $233.52. In other words, the price has decreased by $-12.94 from its previous closing price. On the day, 3010391 shares were traded. MDB reached its highest trading level at $228.62 during the session, while it also had its lowest trading level at $217.55.

Ratios:

We take a closer look at MDB’s different ratios to gain a better understanding of the stock. For the most recent quarter (mrq), Quick Ratio is recorded 4.00 and its Current Ratio is at 4.00. In the meantime, Its Debt-to-Equity ratio is 1.78 whereas as Long-Term Debt/Eq ratio is at 1.77.

Upgrades & Downgrades

In addition, analysts’ ratings and any changes thereto give investors an idea of the stock’s future direction. In the most recent recommendation for this company, Robert W. Baird on July 13, 2022, initiated with a Outperform rating and assigned the stock a target price of $360.

On June 29, 2022, Redburn started tracking the stock assigning a Sell rating and target price of $190.

Needham reiterated its Buy rating for the stock on June 10, 2022, while the target price for the stock was revised from $310 to $350.

Insider Transactions:

An investor can also benefit from insider trades by learning what management is thinking about the future direction of stock prices. A recent insider transaction in this stock occurred on Sep 09 when Ittycheria Dev sold 16,991 shares for $250.66 per share. The transaction valued at 4,259,002 led to the insider holds 199,753 shares of the business.

Ittycheria Dev sold 68,009 shares of MDB for $17,002,250 on Sep 08. The President & CEO now owns 199,753 shares after completing the transaction at $250.00 per share. On Sep 08, another insider, Pech Cedric, who serves as the Chief Revenue Officer of the company, sold 11,340 shares for $250.00 each. As a result, the insider received 2,835,000 and left with 34,445 shares of the company.

Valuation Measures:

For the stock, the TTM Price-to-Sale (P/S) ratio is 14.82 while its Price-to-Book (P/B) ratio in mrq is 22.55.

Stock Price History:

Over the past 52 weeks, MDB has reached a high of $590.00, while it has fallen to a 52-week low of $213.39. The 50-Day Moving Average of the stock is 309.27, while the 200-Day Moving Average is calculated to be 357.25.

Shares Statistics:

According to the various share statistics, MDB traded on average about 1.61M shares per day over the past 3-months and 2.42M shares per day over the past 10 days. A total of 68.33M shares are outstanding, with a floating share count of 66.19M. Insiders hold about 2.60% of the company’s shares, while institutions hold 92.20% stake in the company. Shares short for MDB as of Jul 14, 2022 were 3.87M with a Short Ratio of 2.19, compared to 4.34M on Jun 14, 2022. Therefore, it implies a Short% of Shares Outstanding of 5.69% and a Short% of Float of 6.63%.

Earnings Estimates

The company has 18 analysts who recommend its stock at the moment. On average, analysts expect EPS of $-0.28 for the current quarter, with a high estimate of $-0.21 and a low estimate of $-0.32, while EPS last year was $-0.24. The consensus estimate for the next quarter is $-0.14, with high estimates of $0.02 and low estimates of $-0.32.

Analysts are recommending an EPS of between $0.08 and $-0.43 for the fiscal current year, implying an average EPS of $-0.21. EPS for the following year is $0.23, with 21 analysts recommending between $0.87 and $-0.07.

Revenue Estimates

A total of 21 analysts have provided revenue estimates for MDB’s current fiscal year. The highest revenue estimate was $1.25B, while the lowest revenue estimate was $1.17B, resulting in an average revenue estimate of $1.19B. In the same quarter a year ago, actual revenue was $873.78M, up 36.40% from the average estimate. Based on 21 analysts’ estimates, the company’s revenue will be $1.55B in the next fiscal year. The high estimate is $1.68B and the low estimate is $1.48B. The average revenue growth estimate for next year is up 30.20% from the average revenue estimate for this year.

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

Posted on mongodb google news. Visit mongodb google news

In the early years of cloud computing, cost savings were the major driver of adoption. These days, however, organizations are increasingly faced with spiraling expenditures, waste and a lack of control. As cloud usage bills and inefficiencies start to balloon, these challenges are beginning to undermine the benefits of migrating in the first place.

The truth is that optimizing costs in the cloud is more taxing than many organizations first expect. Identifying cost savings that can be made isn’t generally the hard part; effectively implementing those savings is where the real challenge lies.

A lack of control over infrastructure means that many organizations are failing to make the changes needed to truly realize these gains. So common are these challenges that there is even a word for the process to deal with them: FinOps. FinOps, at its core, is the culture and practice of creating visibility and accountability to manage cloud penetration throughout an organization, and it’s an area that is growing rapidly.

This is the second article in my series that looks at what needs to change so that organizations can really start embracing the opportunities provided by hybrid cloud and DevOps. In this installment, I’m going to take a look at the areas of FinOps, cloud waste and automation. In doing so, I hope to show that there is indeed life in the hybrid cloud and DevOps fast lane if handled the right way.

Get Ready for FinOps

If you think hybrid cloud and the topics of FinOps and, more specifically, cloud waste, haven’t come up during discussions, you’ve probably been living under a rock.

It naturally follows that the more agile an organization becomes the harder it needs to work to keep track of waste. Exponential growth is great, but without the right controls a cloud budget will disappear before there has been a chance to see any returns; there are even examples of companies migrating and then deciding to roll back—such are the concerns around lack of control and rising costs.

Based on survey responses from over 750 cloud decision-makers, Flexera found earlier this year in its 2022 State of the Cloud Report that organizations continue to waste significant amounts of money in the cloud. A full 66% of respondents said that cloud usage is “higher than initially planned this year”, and they estimated that they are wasting 32% of their overall cloud spend. A good five years into full cloud migration and most organizations still haven’t got a handle on costs.

The tricky part is that waste can rear its head at many stages over the course of a project, which is why it’s so important to maintain control from day one.

Establishing a baseline of an environment that is deemed to be the known state means that what is versioned can become a source of trust and the desired state of an organization’s cloud infrastructure. How is this possible? Simple: By creating a culture and practice of visibility and accountability throughout an organization. 

How do you do that? Yes, you guessed it: FinOps.

Tackling Cloud Waste Head-On

The ideal time and place to start establishing robust FinOps policies and reducing waste come when the move has been made to start embracing a dual DevOps/hybrid cloud approach. The good news is that the principles of FinOps are easy to follow and can be applied at various stages of an application management life cycle and DevOps and hybrid cloud journey.

First, teams need to estimate financial and environmental costs ahead of deployment, something which can be particularly challenging when infrastructure-as-code (IaC) tools such as Terraform, Ansible or Puppet are being used, but which is essential to successful FinOps. Once a team has decided which cloud provider they will be using, how much they plan to spend and, more generally, what criteria will be governing these decisions, effective tag management comes in.

Tagging is the basis for achieving a structured cloud infrastructure, especially in multi-cloud environments that feature different resources being used for different purposes. Tagging means that users can add descriptive metadata (tags) to cloud infrastructure to identify key resources or values such as staging, development or production.

In a rapidly growing cloud environment, consistent and comprehensive tag management helps to keep track of what is happening in terms of cost, usage, availability, performance and security across a constantly transforming cloud infrastructure. Once a project has been deployed, these tags need to be managed and maintained across all cloud providers, something which is critical for the management of waste, but is often a huge and messy task.

Good tags help drive good decision-making and the more options there are for categorizing data, the better. To truly get a handle on tag management, finding a platform that can enable users to visualize and study multi-cloud costs in a central place makes it possible to establish that all-important baseline and start to reverse engineer invoices, optimize monthly costs and tackle waste head-on.

One Cloud, One Strategy

There was a time a few years ago that we used to hear people say this a lot: “I’ll migrate all my assets to a single cloud provider.” Cloud providers were pushing migration to a one-cloud strategy; considered completely normal at the time, but which has since been shown to be flawed, especially in the world of enterprise.

Segregation of responsibility is perhaps the best example of why—there are simply too many responsibilities that keep a modern business afloat to risk putting all your eggs in one (cloud) basket. Consider on-premises legacy apps, sensitive data, critical workloads, the production life cycle, ongoing applications without too many peaks and even backend apps. Then consider the cloud providers, new cloud-first applications, public data, non-critical workloads, the development life cycle and frontend applications dealing with high traffic.

Now imagine all of that suddenly disappears.

Hybrid cloud means eggs in multiple baskets. Yes, it adds a layer of complexity, but when so much is at stake, it’s worth it. And when you have defined where you want to host everything for each application, it becomes much easier to gain clarity. The challenge is that all cloud providers have their own ecosystem, which will either be private or public.

These ecosystems make it possible for everything to be integrated, but what is often not immediately obvious is that even though they are integrated, they are not always aligned. It’s in the interests of the cloud provider to provide the best tools to use their platform but not necessarily the best user or developer experience which is something that requires specialist expertise. That usually leads to a certain degree of lock-in as you generally cannot use their tools for managing other applications that aren’t part of the infrastructure.

This lack of transparency and visibility into other cloud providers can get in the way and impact the ability to get the most out of a dual DevOps and hybrid cloud strategy. However, by adopting a hybrid cloud approach, teams can choose the best cloud provider for each application, putting the team in the best position possible to provide the best services possible.

And finally, Always Consider the DevX Factor

For DevOps to thrive, it is important for companies to stay independent both for their own sovereignty and for creating the best developer experience, or DevX (a topic I have explored in a previous article for DevOps.com).

It’s easy to fall into the trap of using all the automation capabilities available from each cloud provider, but that locks an organization into a situation where it needs deep expertise across a wide variety of technologies. Adopting a one-cloud, one-automation strategy means that it would never be possible to migrate automation or reuse it in different application deployment processes across various clouds.

This is where automation of configuration management, IaC, CI/CD pipelines and the DevOps and hybrid cloud platform has a significant role to play. Automation on an organization’s own terms is arguably the most critical element in the race to reduce time to market and improve quality where concepts such as shift left are adding complexity and increasing the responsibilities piled on top of developers.

Using automation technologies to maintain autonomy and favor cross-subject expertise and team mobility gives organizations the freedom and flexibility to save time, money and roll out better DevX. Ultimately, it also helps to create the best possible environment for organizations to truly start enjoying a DevOps and hybrid cloud life in the fast lane.

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

Posted on mongodb google news. Visit mongodb google news

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Database Maintenance Software Market Worldwide Industry Share, Size, Gross Margin, Trend, Future Demand and Forecast till 2028

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The recent study on “ Database Maintenance Software  Market Share | Industry Segment by Applications (Large Enterprises ,    SMEs ,By Company ,    Couchbase ,    SolarWinds ,    Oracle ,    IBM ,    Altibase ,    Microsoft ,    SAP ,    Teradata ,    Software AG ,    Amazon ,    Quickbase ,    Zoho ,    Airtable ,    Google ,    MongoDB ,By Region ,    North America ,        United States  and        Ca), by Type (On-Premise  and    Cloud Based), Regional Outlook, Market Demand, Latest Trends,  Database Maintenance Software  Industry Growth & Revenue by Manufacturers, Company Profiles, Growth Forecasts – 2025.” Analyzes current market size and upcoming 5 years growth of this industry.
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The major market players operating in the industry are: 
      Couchbase      SolarWinds      Oracle      IBM      Altibase      Microsoft      SAP      Teradata      Software AG      Amazon      Quickbase      Zoho      Airtable      Google      MongoDB  By Region      North America          United States          Canada      Europe          Germany          France          UK          Italy          Russia          Nordic Countries          Rest of Europe      Asia-Pacific          China          Japan          South Korea          Southeast Asia          India          Australia          Rest of Asia      Latin America          Mexico          Brazil          Rest of Latin America      Middle East & Africa          Turkey          Saudi Arabia          UAE          Rest of MEA
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By the product type, the market primarily split into:
On-Premise  and    Cloud Based
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Large Enterprises 
    SMEs 
By Company 
    Couchbase 
    SolarWinds 
    Oracle 
    IBM 
    Altibase 
    Microsoft 
    SAP 
    Teradata 
    Software AG 
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    Airtable 
    Google 
    MongoDB 
By Region 
    North America 
        United States  and        Ca
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What  Database Maintenance Software  Market report offers:

 Database Maintenance Software  Market share assessments for the regional and country-level segments
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 Database Maintenance Software  Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and Recommendations)
Strategic recommendations on key business segments

The research report is an overall draft when it comes to understand the investment structure and future analysis of the  Database Maintenance Software  market. The Report to convey detailed information regarding prominent vendors of the  Database Maintenance Software  market including recent innovations, advancements, improvements, business estimation, revenue margin, and sales graph.
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Over successive few years, which  Database Maintenance Software  Market application segment can perform well?
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Which product segments are exhibiting growth?
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However, market share changes their values by completely different producing brands.
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Article originally posted on mongodb google news. Visit mongodb google news