Month: September 2023

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Here’s a look at the most interesting products from the past month, featuring releases from: Action1, Adaptive Shield, Bitdefender, Bitwarden, Forescout, ImmuniWeb, Kingston Digital, LastPass, Lineaje, LOKKER, Menlo Security, MongoDB, Netskope, NetSPI, OffSec, Qualys, SentinelOne, Solvo, SonarSource, SpecterOps, Synopsys, ThreatConnect, Traceable AI, and Vicarius.

NetSPI launches ML/AI Pentesting solution to help organizations build more secure models

NetSPI has debuted its ML/AI Pentesting solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations. The solution focuses on two core components: Identifying, analyzing, and remediating vulnerabilities on machine learning systems such as Large Language Models (LLMs) and providing grounded advice and real-world guidance to ensure security is considered from ideation to implementation.

Open-source penetration testing tool BloodHound CE released

SpecterOps released version 5.0 of BloodHound Community Edition (CE). This free and open-source penetration testing solution maps attack paths in Microsoft Active Directory (AD) and Azure (including Azure AD/Entra ID) environments. This update brings many enterprise-grade usability features to BloodHound CE, like containerized deployment, REST APIs, user management, and access control.

Qualys unveils first-party software risk management solution

The Qualys Cloud Platform now includes new capabilities for assessing risks in first-party applications. Customers can “bring their own” assessment and remediation logic into Qualys Vulnerability Management, Detection and Response (VMDR) workflows and reporting, providing SecOps teams with a unified view of all first- and third-party applications along with open-source software in their environment.

Menlo Security introduces two features to protect users against web browser threats

Menlo Security announced HEAT Shield and HEAT Visibility, a suite of threat prevention capabilities designed to detect and block highly evasive threats targeting users via the web browser.

Synopsys Software Risk Manager simplifies application security testing

Software Risk Manager enables security and development teams to simplify, align and streamline their application security testing across projects, teams and application security testing (AST) tools. It aligns intelligent policy-driven orchestration and vulnerability management capabilities with the Synopsys Software Integrity Group’s SAST and SCA engines, with broad support for other open-source and commercial AST tools.

Forescout Risk and Exposure Management offers quantitative approach to risk prioritization

Forescout unveiled Risk and Exposure Management, its cloud-native product designed to collate all data sources associated with an enterprise’s connected assets and calculate a unique multifactor risk score for each asset, offering a quantitative approach to risk prioritization.

Traceable AI combats API abuse with digital fraud prevention capabilities

By integrating advanced fraud prevention capabilities within its API security platform, Traceable provides a holistic, in-depth, and adaptive approach to ensuring that organizations stop fraud in its tracks. This proactive approach empowers organizations to detect real-time digital fraud.

Sonar’s new deep-analysis capability discovers and fixes code security issues

Sonar addresses the gap of traditional SAST through its fine-grained analysis of user source code interactions with external dependencies, all without the need for any special configuration or incremental costs. This deeper SAST innovation furthers Sonar’s mission to equip organizations to achieve a state of Clean Code — code that is consistent, intentional, adaptable, and responsible.

Lineaje BOMbots remediate security issues using generative AI

The BOMbots generative AI tool acts like a “co-pilot,” enhancing a user’s ability to find, understand, and mitigate specific software security and maintenance issues through a specialized, comprehensive analysis by Lineaje AI. Using an intelligent chatbot feature, integrated with their SBOM, teams can engage via a human-like conversation for a comprehensive resolution of a complex issue.

Vicarius vuln_GPT enables security teams to find and fix software vulnerabilities

Vicarius launched vuln_GPT, an LLM model trained to generate remediation scripts for software vulnerabilities. This new AI-powered remediation engine can automatically generate a remediation script to execute a number of actions. For example, scripts can remove a file, close a port, disable a protocol, or initiate a compensating control.

LastPass removes the master password from customers’ login with FIDO2 authenticators

With FIDO2 authenticators, LastPass Free, Premium, Families, Teams and Business customers will have more options when it comes to setting up passwordless login to their vault. The FIDO2 authenticators are currently supported on desktop browsers and Chrome and Firefox extensions, with Safari browser extension and desktop application support coming soon.

Adaptive Shield’s ITDR capabilities help users detect identity-related security threats

Adaptive Shield’s ITDR features security measures to detect and respond to identity-related security threats based on key Indicators of Compromise (IOCs). These IOCs provide forensic signs of a potential breach, such as malware, data breaches, unusual behavior, and other suspicious events.

ThreatConnect empowers security teams to operationalize intelligence requirements

ThreatConnect announced its new Intelligence Requirement capability that helps articulate requirements and form the foundation of the evolved threat lifecycle, no matter the team’s maturity. It also saves users time by automatically parsing incoming and relevant intelligence related to each requirement.

Solvo SecurityGenie helps organizations improve their cloud security posture

Powered by OpenAI, SecurityGenie uses natural language processing (NLP), like how ChatGPT operates, but to help security teams to identify and remediate security risks, such as misconfigurations, vulnerabilities, and compliance violations quickly and easily, eliminating time-consuming manual searches.

Action1 platform update bridges the gap between vulnerability discovery and remediation

Action1 Corporation has released a new version of its solution. The updated Action1 patch management platform brings together vulnerability discovery and remediation, helping enterprises fortify their defenses against threats such as ransomware infections and security breaches.

MongoDB Queryable Encryption enables organizations to meet data-privacy requirements

MongoDB Queryable Encryption helps organizations protect sensitive data when it is queried and in-use on MongoDB. It reduces the risk of data exposure for organizations and improves developer productivity by providing built-in encryption capabilities for sensitive application workflows—such as searching employee records, processing financial transactions, or analyzing medical records—with no cryptography expertise required.

Bitdefender enhances security for iOS devices with Scam Alert

Bitdefender has launched an advanced security feature for iOS users, Scam Alert. The new technology protects users from phishing scams delivered through SMS/MMS messages and calendar invites. Layered on top of existing protection in Bitdefender Mobile Security for iOS, Scam Alert proactively identifies attacks and prevents them from reaching the mobile user – providing iPhone and iPad users complete, layered protection.

SentinelOne Singularity App for Netskope secures remote work from endpoint to cloud

Employees today want the freedom to work where and how they perform best. SentinelOne and Netskope are joining forces to help customers deliver it in a secure way. The technology partners announced the launch of the SentinelOne Singularity App for Netskope, a joint solution that provides the comprehensive, context-rich visibility needed to detect, respond to, and mitigate threats across the ever-expanding attack surface opened by distributed work.

Security Onion 2.4: Free, open platform for defenders gets huge update

Security Onion is a free and open platform for threat hunting, enterprise security monitoring, and log management. It has been downloaded over 2 million times and is being used by security teams worldwide. Security Onion 2.4 comes with many updates, and the hotfix 2.4.10 release is available on GitHub

Kali Linux 2023.3 released: Kali NetHunter app redesign, 9 new tools, and more!

Offensive Security has released Kali Linux 2023.3, the latest version of its penetration testing and digital forensics platform. Kali Linux 2023.3 introduces a redesigned Kali NetHunter app and a completely new NetHunter Terminal.

ImmuniWeb introduces ImmuniWeb Neuron Mobile, an automated mobile app security testing solution

ImmuniWeb Neuron Mobile is a fully automated, AI-enabled mobile application security testing (MAST) solution designed to discover OWASP Mobile Top 10 vulnerabilities and weaknesses in iOS and Android mobile applications.

LOKKER launches On-demand Website Privacy Audit for healthcare organizations

LOKKER has revealed the availability of the new On-demand Website Privacy Audit, a feature within its Privacy Edge software suite, geared toward healthcare organizations. This audit summarizes the highest priority privacy risks on an organization’s website.

Kingston IronKey Keypad 200C hardware-encrypted USB Type-C drive released

Kingston Digital Europe has launched the Kingston IronKey Keypad 200C, a hardware-encrypted USB Type-C drive that ensures both security and convenience at your fingertips. Now, users can achieve seamless data protection and effortless compatibility without the use of adapters when using USB-C equipped devices.

Bitwarden launches E2EE Secrets Manager

Bitwarden, a popular open-source password management service, has released Bitwarden Secrets Manager, an open-source, end-to-end encrypted solution that helps development, IT and DevOps teams store, manage, automate, and share secrets.

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

Posted on mongodb google news. Visit mongodb google news

Shares of MongoDB (NASDAQ:MDB) soared 5% after the database software maker reported results for its second fiscal quarter last week. Given the company’s strong subscription revenue momentum and narrowing losses, I believe MongoDB is a promising software company for growth investors, just not at the current valuation. MongoDB’s shares have doubled in value in the first eight months of the year and although the software company is making strong progress by signing on new customers, especially with regards to its fully-managed cloud database MongoDB Atlas, shares are now highly valued at 14X FY 2024 revenues. As a result, shares of MongoDB have an unattractive risk profile and I only rate the database company as a hold!

Second-quarter earnings card resulted in significant estimate out-performance

MongoDB reported quarterly revenue of $423.8M which compared to an average analyst consensus estimate of $390.9M. The software maker massively beat on earnings as well with adjusted earnings coming in at $0.93 per-share, beating the consensus estimate of $0.45 per-share by a stunning 106%.

MongoDB core service offering and customer/subscription revenue momentum

MongoDB is an open-source database management program that helps companies store data and scale their applications. The software company allows enterprises not only to store large amounts of data, but also helps them migrate workloads from other databases to MongoDB. MongoDB Atlas is the company’s popular multi-cloud database service and the firm is seeing strong customer adoption for this product. Total Atlas customers exceeded 43,500 at the end of the second fiscal quarter, compared to just 27,500 customers two years ago.

Companies use MongoDB for the ease of adoption and MongoDB has seen considerable customer momentum in recent years, especially during the COVID-19 pandemic which served as an accelerant for the firm’s growth. At the end of the last fiscal year, MongoDB had more than 40,800 customers in its service portfolio, including 1,651 customers that spent more than $100 thousand in recurring revenues on MongoDB’s products and services annually. In the most recent quarter, FQ2’24, MongoDB disclosed a total customer count of 45,800 and 1,855 customers in the lucrative segment of clients that spend more than $100 thousand each year. MongoDB’s top customer account increased 12% since the end of FY 2023 and 5% quarter over quarter.

Despite the pandemic coming to an end, MongoDB continues to have considerable customer acquisition and revenue momentum. In FQ2’24, MongoDB generated revenues of $423.8M, showing 40% year over year growth. MongoDB Atlas revenues increased 38% year over year and accounted for almost two-thirds (63%) of all revenues. The real value for investors lies in MongoDB’s subscription service offering which generated $409.3M in revenues and which accounted for 97% of all revenues in the second fiscal quarter. Although MongoDB still did not manage to achieve positive operating income for the second fiscal quarter, strong revenue/subscription momentum is why the software database maker raised its guidance for FY 2024.

MongoDB raised its top line guidance significantly

The software database maker guided for $1.522B to $1.542B in revenues in the first fiscal quarter and MongoDB raised its forecast to $1.596B to $1.608B in FQ2’24, largely due to momentum in MongoDB Atlas. At the mid-point, the company raised its revenue forecast by 5%.

Working towards free cash flow profitability

Like many software companies, MongoDB is not yet free cash flow profitable… but the firm is well on its way to achieve positive free cash flow in the near to medium term. MongoDB generated $(27.3)M in free cash flow in FQ2’24 and drastically lowered its free cash flow losses compared to the year-earlier period. I believe MongoDB could be profitable on a full-year basis next year if MongoDB continues to see continual customer interest in Atlas.

MongoDB’s valuation

Typically, software companies are not cheap as investors value them based on their prospects for revenue expansion. In the case of MongoDB, the market values the software maker at 14X forward revenues which is an excessive price for any company to pay. Although it is true that MongoDB is projected to achieve 26% annual average top line growth in the next five years, the software firm is very richly valued, relative to its own valuation history as well as relative to its rivals. Shares of MongoDB trade 41% above their 1-year average P/S ratio and are also the most expensive software company in its industry group. I would consider MongoDB at 10X forward revenues which would imply a price of around $276.

Risks with MongoDB

The biggest risk for the database software maker is slowing revenue growth. Since MongoDB is highly valued based off of revenues, a moderation of top line growth is almost certainly going to upset investors and it may lead to a contraction in the valuation multiplier. What I also see as a risk is that MongoDB is not yet generating positive operating income and free cash flows (on a full-year basis). What would change my mind about MongoDB is if the company saw a decline in its customer acquisition momentum, especially with regard to MongoDB Atlas.

Final thoughts

MongoDB presented a rather strong second-quarter earnings sheet that showed a significant top line and earnings beat, a raised FY 2024 outlook and continual subscription revenue momentum. The company also continued to expand its reach in the lucrative market segment of enterprises spending more than $100 thousand annually on MongoDB’s products and services. While I like MongoDB’s momentum in terms of revenue and customer growth, as well as the fact that the software database maker could report positive free cash flow soon, I really don’t like the valuation. MongoDB as well as other cloud-based software companies have recently seen a sharp upward revaluation of their shares which translates, in the case of MongoDB, to an unattractive risk profile. Right now, I think it is best for investors to sit on the sidelines!

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

Posted on mongodb google news. Visit mongodb google news

MongoDB (NASDAQ:MDB – Free Report) had its price target lifted by Sanford C. Bernstein from $424.00 to $471.00 in a report published on Sunday morning, FlyOnTheWall reports.

Other equities analysts have also recently issued reports about the stock. Piper Sandler raised their price target on shares of MongoDB from $400.00 to $425.00 and gave the stock an overweight rating in a research note on Friday. Guggenheim boosted their price target on shares of MongoDB from $220.00 to $250.00 and gave the stock a sell rating in a research report on Friday. Morgan Stanley raised their price objective on MongoDB from $440.00 to $480.00 and gave the company an overweight rating in a report on Friday. William Blair reiterated an outperform rating on shares of MongoDB in a report on Friday, June 2nd. Finally, Capital One Financial assumed coverage on MongoDB in a research report on Monday, June 26th. They set an equal weight rating and a $396.00 price target on the stock. One analyst has rated the stock with a sell rating, three have given a hold rating and twenty have assigned a buy rating to the company. Based on data from MarketBeat.com, MongoDB has a consensus rating of Moderate Buy and a consensus target price of $407.39.

Check Out Our Latest Stock Report on MDB

MongoDB Price Performance

MDB opened at $392.88 on Friday. The company has a fifty day simple moving average of $389.98 and a 200 day simple moving average of $305.11. The company has a quick ratio of 4.19, a current ratio of 4.19 and a debt-to-equity ratio of 1.44. The stock has a market cap of $27.73 billion, a P/E ratio of -113.55 and a beta of 1.11. MongoDB has a 12 month low of $135.15 and a 12 month high of $439.00.

MongoDB (NASDAQ:MDB – Get Free Report) last released its quarterly earnings results on Thursday, June 1st. The company reported $0.56 EPS for the quarter, topping analysts’ consensus estimates of $0.18 by $0.38. MongoDB had a negative return on equity of 43.25% and a negative net margin of 23.58%. The company had revenue of $368.28 million for the quarter, compared to analyst estimates of $347.77 million. During the same quarter last year, the firm posted ($1.15) earnings per share. MongoDB’s revenue was up 29.0% compared to the same quarter last year. On average, research analysts expect that MongoDB will post -2.8 EPS for the current year.

Insider Buying and Selling

In other MongoDB news, CRO Cedric Pech sold 360 shares of the business’s stock in a transaction dated Monday, July 3rd. The stock was sold at an average price of $406.79, for a total transaction of $146,444.40. Following the completion of the transaction, the executive now owns 37,156 shares of the company’s stock, valued at $15,114,689.24. The sale was disclosed in a legal filing with the SEC, which can be accessed through this hyperlink. In related news, CAO Thomas Bull sold 516 shares of the business’s stock in a transaction on Monday, July 3rd. The stock was sold at an average price of $406.78, for a total transaction of $209,898.48. Following the sale, the chief accounting officer now owns 17,190 shares in the company, valued at approximately $6,992,548.20. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at this hyperlink. Also, CRO Cedric Pech sold 360 shares of the stock in a transaction dated Monday, July 3rd. The shares were sold at an average price of $406.79, for a total value of $146,444.40. Following the completion of the transaction, the executive now owns 37,156 shares of the company’s stock, valued at $15,114,689.24. The disclosure for this sale can be found here. Insiders sold a total of 76,551 shares of company stock worth $31,143,942 in the last ninety days. 4.80% of the stock is owned by insiders.

Institutional Investors Weigh In On MongoDB

A number of institutional investors have recently made changes to their positions in the stock. Alamar Capital Management LLC grew its holdings in MongoDB by 2.4% during the 2nd quarter. Alamar Capital Management LLC now owns 9,056 shares of the company’s stock worth $3,722,000 after acquiring an additional 210 shares during the period. Osaic Holdings Inc. grew its position in shares of MongoDB by 47.9% during the 2nd quarter. Osaic Holdings Inc. now owns 14,324 shares of the company’s stock worth $5,876,000 after buying an additional 4,640 shares during the period. Teachers Retirement System of The State of Kentucky increased its stake in shares of MongoDB by 365.9% in the 2nd quarter. Teachers Retirement System of The State of Kentucky now owns 7,142 shares of the company’s stock valued at $2,935,000 after acquiring an additional 5,609 shares in the last quarter. Coppell Advisory Solutions LLC acquired a new position in shares of MongoDB during the 2nd quarter valued at $43,000. Finally, Alliancebernstein L.P. boosted its stake in MongoDB by 62.6% during the second quarter. Alliancebernstein L.P. now owns 264,330 shares of the company’s stock worth $108,637,000 after acquiring an additional 101,804 shares in the last quarter. Institutional investors own 88.89% of the company’s stock.

About MongoDB

(Get Free Report)

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

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

Posted on mongodb google news. Visit mongodb google news

On September 3, 2023, the share price of MongoDB, Inc. (NASDAQ:MDB) experienced a gap up at the opening of the market. This was in response to Truist Financial raising their price target on the stock from $420.00 to $430.00. The stock had closed at $381.30 on the previous trading day but opened at $395.01. MongoDB shares were last traded at $399.03 with a total volume of 1,488,559 shares traded.

In other news related to MongoDB, Director Dwight A. Merriman sold 1,000 shares of the company’s stock in a transaction that took place on July 18th. The shares were sold at an average price of $420.00, resulting in a total transaction value of $420,000.00. Following this transaction, Director Dwight A. Merriman now holds 1,213,159 shares in the company with a value of $509,526,780 based on current market prices. This sale was disclosed through a legal filing with the Securities and Exchange Commission (SEC), which can be accessed through this link.

Additionally, Director Dwight A. Merriman sold 6,000 shares of MongoDB stock on August 4th at an average price of $415.06 per share, totaling $2,490,360.00 in value. Following this latest transaction, the director now owns 1,207,159 shares valued at approximately $501,0434145 based on current market prices has been disclosed through a filing with the SEC available via this link.

It should be noted that insiders have sold a total of 76,551 company shares valued at $31,143942 over the last quarter alone . This accounts for approximately 4.80% of the company’s outstanding stock held by insiders.

Turning our attention to MongoDB’s financial performance; as reported on June 1st, 2023, the company exceeded analysts’ expectations with an EPS of $0.56 for the quarter. This beat consensus estimates by $0.38 as analysts had expected earnings of $0.18 per share. MongoDB recorded revenue of $368.28 million for the quarter, surpassing analyst estimates of $347.77 million. The company’s revenue saw a significant increase of 29.0% on a year-over-year basis.

However, it is worth noting that MongoDB had a negative return on equity of 43.25% and a negative net margin of 23.58%. In the same quarter in the previous year, the company reported a loss per share of ($1.15) EPS.

Research analysts forecast that MongoDB, Inc.’s EPS for the current year will be -2.8.

As always, investors are encouraged to conduct their own research and analysis before making any investment decisions regarding MongoDB stock based on this information data available at the time being offered to you

Analysts and Institutions Show Confidence in MongoDB: A Comprehensive Financial Analysis

Diving into the world of financial analysis, various experts have recently shared their thoughts on the renowned technology company MongoDB. The Royal Bank of Canada raised their target price for the company from $400.00 to $445.00 in a research report released on June 23rd, signaling positive market expectations. Similarly, KeyCorp also expressed optimism by increasing their price target on MongoDB from $372.00 to $462.00 and providing an “overweight” rating in a research note published on July 21st.

Another distinguished financial institution, Morgan Stanley, adjusted their target price for MongoDB from $440.00 to $480.00 in a research report issued just days ago. Mizuho echoed this trend by raising their price target from $240.00 to $260.00 on Friday.

It is worth noting that The Goldman Sachs Group also chimed in with their own insights, increasing their price objective for MongoDB from $420.00 to $440.00 in a research report released this summer on June 23rd.

Analyzing the overall market sentiment towards MongoDB stock, it is interesting to observe that one equities research analyst has given the stock a sell rating, three analysts provided hold ratings, while an impressive twenty analysts have bestowed a buy rating upon the company’s stock.

Drawing data from trusted financial resource Bloomberg.com, we find that MongoDB currently holds an average rating of “Moderate Buy” among industry professionals with an average target price of approximately $400.77.

Shifting our focus now towards the institutional investors and hedge funds involved with MongoDB’s operations, recent reports indicate notable modifications within these entities’ holdings of the company’s stock.

Jennison Associates LLC experienced tremendous growth in its stake in MongoDB during the second quarter of this year—a staggering increase of 101,056% compared to previous numbers—as they now own around 1,988,733 shares valued at approximately $817,350,000.

1832 Asset Management L.P. also displayed exceptional growth in its holding of MongoDB shares, with a remarkable increase of 3,283,771% during the fourth quarter. Their stake in the company now amounts to 1,018,000 shares valued at $200,383,000.

Price T Rowe Associates Inc. MD also demonstrated a noteworthy uptick in their holdings by 13.4%, specifically during the first quarter of this year. They currently possess 7,593,996 shares valued at an estimated $1,770,313,000.

Furthermore, Renaissance Technologies LLC recorded an impressive increase of approximately 493.2% in their position within MongoDB during the fourth quarter—now owning around 918,200 shares valued at about $180,738,000.

Lastly on our list is Norges Bank—a new player that entered the picture by acquiring a stake in MongoDB during the fourth quarter valued at roughly $147,735,000.

It is fascinating to consider that hedge funds and institutional investors currently hold a significant portion—approximately 88.89%—of MongoDB’s overall stock value.

Taking a closer look at MongoDB’s financial standing reveals certain key details about its operations. The company maintains a debt-to-equity ratio of 1.44—an aspect that attracts potential investors due to its reasonable balance between debts and resources available for growth prospects.

Additionally worth noting are the company’s liquidity ratios: the quick ratio and current ratio both stand at 4.19—highlighting the firm’s robust financial position and ability to meet short-term obligations effectively.

Examining average prices over specific time periods can provide valuable insights into market trends surrounding a particular stock. In this case study on MongoDB’s performance as of September 3rd this year—the reference date—it is observed that the company has experienced an average moving price of $389.93 over a span of 50 days and $302.86 over 200 days.

Finally, MongoDB currently boasts a market capitalization of $27.91 billion, indicating its strong foothold within the tech industry. The company’s price-to-earnings ratio stands at -85.65—a figure worth evaluating within the broader context of the company’s financial performance. Moreover, MongoDB exhibits a modest beta value of 1.13, reflecting its moderate sensitivity to market fluctuations.

As we navigate the complex world of finance, exploring various analytical research and tracking institutional investments shapes our understanding of the dynamics that underscore companies like MongoDB.

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

Article originally posted on InfoQ. Visit InfoQ

In a recent announcement, Microsoft revealed the retirement of Visual Studio for Mac Integrated Development Environment (IDE). As of August 31, 2024, Visual Studio for Mac 17.6 will discontinue receiving support, marking it as the end of an era for Mac-based .NET developers.

As reported, during the final 12 months of support, Microsoft intends to provide essential updates for Visual Studio for Mac, including security patches, bug fixes, and compatibility updates with Apple’s platforms. However, it’s important to note that no new features, framework support, or language additions will be introduced during this time.

Microsoft’s decision to retire Visual Studio for Mac comes as they shift their focus towards optimizing Visual Studio and Visual Studio Code (VS Code) for cross-platform development. Users can expect ongoing investments in these tools to improve their experience.

As expressed in the official announcement blog post by author Anthony Cangialosi, the Group Product Manager at DevDiv:

Informed by ongoing user feedback and usage patterns for Visual Studio for Mac, we’re focusing our efforts on optimizing Visual Studio, accessible through Microsoft Dev Box on any operating system, and the C# Dev Kit for VS Code, which is accessible on any OS.

For existing users wondering about their options, Microsoft suggests transitioning to alternative solutions, including a couple of ones. The first one would be, Visual Studio Code with the C# Dev Kit: Microsoft has recently introduced the C# Dev Kit, .NET MAUI, and Unity Extensions for VS Code. 

Another one is Visual Studio IDE on Windows in a VM (Virtual Machine) on Mac. For users with specific IDE requirements, such as legacy Xamarin projects or F# development, running the Windows version of Visual Studio in a virtual machine on a Mac is an option.

The last recommendation would be Visual Studio IDE on Windows in a Cloud VM. As reported, Microsoft continues to position Visual Studio as the primary tool for .NET/C# development. Developers can access the Visual Studio through a cloud-hosted VM via Microsoft Dev Box. 

In addition to the original blog post, Microsoft’s decision to retire Visual Studio for Mac has left some users with mixed feelings and huge community feedback through the comment section. Many are worried about the future of cross-platform development, and a few have suggested open-sourcing the software for community-driven development and improvement. For example, a couple of users commented following:

could you guys open source it and let community maintain it ? I understand a competing product like VS Code is also suitable to many linux devs , but Visual Studio gives an unique experience to C# devs who are used to this tool…

The interesting comment was written by a developer named Miroslav Popovic, with the following content:

Just a speculation at this point, but we might see a team-up between JetBrains and Microsoft, with something like free Rider Community Edition. Or something similar that JetBrains had with Google on Android Studio.

Furthermore, a very interesting and active discussion was also on the X (formerly Twitter) thread by Miguel de Icza, former Xamarin co-founder and ex-Microsoft employee:

Once VisualStudio for Mac killed all its IDE features, it was a matter of time before it was killed. No UI designers, no profiling, lack of tooling for the ecosystems it intended to support (Info.plist). It became just another editor.

Lastly, to get an insight into the various perspectives, it is highly recommended that developers explore the comment section and engage in the ongoing discussion about this announcement from Microsoft.

Article originally posted on InfoQ. Visit InfoQ

Stack Overflow announced the roadmap for the integration of generative AI into their public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration that brings the vast knowledge of 58 million questions and answers from their community right into the area where developers find focus and get work done. Stack Overflow is putting all this work under the umbrella of OverflowAI.

The OverflowAI initiative consists of a number of projects, including:

• OverflowAI Enterprise Knowledge Ingestion: Utilizing OverflowAI, users of Stack Overflow for Teams can efficiently build a knowledge repository by leveraging trusted existing content. AI/ML technologies assist in generating initial tags and suggesting question-answer pairs, enabling developers to focus on enhancing and ensuring accuracy.
• Enhanced Search Capabilities with OverflowAI: Teams using Stack Overflow can quickly access precise answers and learning resources. This includes trusted sources such as Stack Overflow for Teams, the public Stack Overflow platform, and customer repositories like Confluence and GitHub, with plans to integrate additional sources in the future.
• OverflowAI Visual Studio Code Extension: Recognizing that developers spend a significant amount of time in their integrated development environments (IDEs), Stack Overflow ensures a seamless workflow. The extension integrates both public platform and private Teams content, providing a personalized overview of efficient and effective problem-solving approaches.
• OverflowAI Slack Integration: The StackPlusOne chatbot, powered by OverflowAI, delivers verified solutions directly within Slack. The integration leverages community-validated sources while safeguarding a company’s sensitive data.

On Stack Overflow’s public platform:

• OverflowAI Search: Public platform users gain access to rapid and reliable answers through GenAI-powered search. Drawing from trusted data originating from over 58 million Stack Overflow Q&A entries, responses can be attributed and cited. This functionality expands queries to tap into the knowledge base for more personalized and relevant results, as well as follow-up inquiries.
• AI Community Discussions: Access unbiased technology resources and expert insights through the GenAI Stack Exchange, which focuses on knowledge sharing for generating prompts for GenAI tools and broader AI/ML topics. Stack Overflow’s Natural Language Processing (NLP) Collective introduces “Discussions” for focused debates, sharing insights, and facilitating informed decision-making.

The community-based question and answer forums are the lifeblood of Stack Overflow. According to Prashanth Chandrasekar, CEO of Stack Overflow, the purpose of OverflowAI is to enhance the community in a variety of ways rather than to completely replace them.

Article originally posted on InfoQ. Visit InfoQ

This week’s Java roundup for August 28th, 2023 features news from OpenJDK, JDK 22, JDK 21, GraalVM Native Build Tools 0.9.25, Single Query Loading in Spring JDBC, Quarkus 3.3.1, 3.2.5.Final and 2.16.10.Final, Micronaut 4.1.0 and 4.0.6, Wildfly 29.0.1, Hibernate ORM 6.3.0 and 6.2.8, Hibernate Reactive 2.0.5, GlassFish 7.0.8, Eclipse Vert.x 4.4.5, JKube 1.14.0, JReleaser 1.8.0 and OpenXava 7.1.5.

OpenJDK

The Java Community Process (JCP) Executive Committee has voted to approve JSR 396, Java SE 21 Platform, to move forward with its final GA release scheduled for September 19, 2023.

JEP 442, Foreign Function & Memory API (Third Preview), delivered in the upcoming release of JDK 21, and JEP Draft 8310626, Foreign Function & Memory API, expected to be delivered in JDK 22, is one of the main features of Project Panama, a project that connects the JVM with well-defined, but “foreign” (non-Java) APIs that include many interfaces commonly used by C programmers.

Per-Åke Minborg, consulting member of technical staff at Oracle, has published this blog post in which he discussed the performance benefits of the Foreign Function & Memory API. Minborg provided a benchmark on string conversion using this API for JDK 21 and JDK 22 compared to using the old Java Native Interface (JNI) calls.

JDK 21

Build 35 remains the current build in the JDK 21 early-access builds. Further details on this build may be found in the release notes.

JDK 22

Build 13 of the JDK 22 early-access builds was also made available this past week featuring updates from Build 12 that include fixes to various issues. Further details on this build may be found in the release notes.

For JDK 22 and JDK 21, developers are encouraged to report bugs via the Java Bug Database.

GraalVM

On the road to version 1.0, Oracle Labs has released version 0.9.25 of Native Build Tools, a GraalVM project consisting of plugins for interoperability with GraalVM Native Image. This latest release provides a dependency upgrade to GraalVM Reachability Metadata Repository 0.3.4. More details on this release may be found in the changelog.

Spring Framework

In their quest to solve the N+1 problem, the Spring Data team has introduced Single Query Loading, a technique designed to load arbitrary aggregates with a single SELECT statement. Available with the release of Spring Data JDBC 3.2.0-M2, the team claims this new technique is the “beginning of the end for the N+1 problem.” A new method, setSingleQueryLoadingEnabled(true), has been added to the RelationalMappingContext class to enable Single Query Loading. At this time, this only works for simple aggregates, consisting of an aggregate root and a single collection of other entities, but the team promises that future releases will improve on this limitation.

Quarkus

Red Hat has released version 3.3.1 of Quarkus that ships with dependency upgrades and notable changes such as: a fix for a potential NullPointerException in the MicrometerRecorder class; a new counter, rejected, added to the VertxPoolMetrics class to count rejected requests; and a fix in which the VertxHttpExporter class incorrectly parses the /v1/traces endpoint. Further details on this release may be found in the changelog.

Similarly, Quarkus 3.2.5.Final has been released with notable changes such as: a fix for a potential NullPointerException in the Cross-Site Request Forgery extension when the CsrfRequestResponseReactiveFilter class is checking the media type; a disabling of the testMoreRepositoryFunctionalities() method in the ReactiveMongodbPanacheResourceTest class as it has been characterized as “flaky” according to the string passed-in to the @Disabled annotation; and a fix for a deadlock upon calling a write-locked method of a bean in multiple threads in which this method calls another write-locked method within the same bean. More details on this release may be found in the changelog.

And finally, the release of Quarkus 2.16.10.Final provides a dependency upgrade of Snappy Java from version 1.1.8.4 to version 1.1.10.1. Further details on this release may be found in the changelog.

Micronaut

The Micronaut Foundation has released version 4.1.0 of the Micronaut Framework delivering Micronaut Core 4.1.3 and new features such as: Bean Mappers to automatically create a mapping between one type and another; an Introspection Builder that utilizes the builder member of the @Introspected annotation to generate a dynamic builder ​​if a type can only be constructed via a builder pattern; and improvements for developers using Kotlin Symbol Processing (KSP) to build Micronaut applications. More details on this release may be found in the release notes.

Micronaut Framework 4.0.6, the sixth maintenance release provides updates to modules: Micronaut for Spring, Micronaut JAX-RS, Micronaut Servlet, Micronaut Validation, Micronaut Redis, Micronaut Tracing, Micronaut AWS and Micronaut Kafka. Further details on this release may be found in the release notes.

WildFly

The release of WildFly 29.0.1 ships with component upgrades, a migration of Quickstarts 29.x to BOMs and WildFly Server 29.0.1.Final, and notable bug fixes such as: WildFly 29.0.0 not starting on Eclipse Temurin 17.0.8 due to a new org.jboss.jts to jdk.jconsole dependency; an upgrade to Square Okio 3.4.0 to resolve CVE-2023-3635, a vulnerability that may lead to a denial of service of the Okio client when handling a crafted GZIP archive via the GzipSource class; and issues with the MicroProfile RestClient and Jakarta CDI specifications after upgrading to WildFly 29.0.0. More details on this release may be found in the release notes.

Hibernate

Versions 6.3.0 and 6.2.8 of Hibernate ORM have been released delivering notable changes such as: initial support for the Jakarta Persistence 3.2 specification for Jakarta EE 11 that includes clarification of numeric literal types in HQL/JPQL queries; a new introductory Hibernate 6 Guide; a new syntax and feature guide for the Hibernate Query Language; the ability to generate DAO-style methods for named queries as part of its JPA static metamodel generator; and the ability for arbitrary methods to be processed by the generator to create finder methods similar to query methods using the new @Find annotation.

The release of Hibernate Reactive 2.0.5.Final ships with compatibility with Hibernate ORM 6.2.8.Final and Vert.x SQL driver 4.4.5. Notable changes include: a change of the return type from Uni to Uni of the generate() method defined in the MutinyGenerator class; the addition of tests for the @TimeZoneStorage annotation; and a new ParametersProcessorTest class to fix escaping issues that were present in processing parameters for the OracleParameters, PostgresParameters and SQLServerParameters classes. Further details on this release may be found in the release notes.

Eclipse Foundation

Eclipse GlassFish 7.0.8, the eighth maintenance release, features initial support for JDK 21 and an optimization of CDI extensions to reduce the number of unnecessary handler calls to the ProcessAnnotatedType interface. Notable bug fixes include: a JDK 11 compatibility issue in RWLockDataStructureTest class; a multi-jar compatibility issue; and Admin Console behavior when an admin user changes password to be empty. More details on this release may be found in the release notes

The release of Eclipse Vert.x 4.4.5 delivers dependency upgrades and notable changes such as: improvements to the ForwardedParser class to support IPV6 addresses when they are not enclosed within square brackets; a decouple of the frame aggregator from the frame handler upon implementing the WebSocketBase interface; and a fix for HTTP/2 throwing an HttpClosedException instead of TimeoutException when a defined timeout has been exceeded. Further details on this release may be found in the release notes and deprecations and breaking changes.

Version 1.14.0 of Eclipse JKube, a Java tools and plugins utility for Kubernetes and OpenShift, has been released featuring bug fixes, improvements and support for Gradle 8, Helidon, the Spring Boot Layered Jar and Helm push charts for OCI registries. More details on this release may be found in the release notes.

JReleaser

Version 1.8.0 of JReleaser, a Java utility that streamlines creating project releases, has been released to deliver improvements in documentation, dependency upgrades and notable changes such as: the creation of default templates for missing announcers; an update to the latest SDKMan endpoints; and improved error handling for GitHub 422 error responses. Further details on this release may be found in the release notes.

It is important to note that the Supply Chain Levels for Software Artifacts (SLSA) has announced a partnership with JReleaser, Maven and Gradle with the release of SLSA 1.0. This validates the design of the Bring Your Own Builder (BYOB) framework and demonstrates its flexibility.

OpenXava

The release of OpenXava 7.1.5 ships with notable changes such as: a new CompositeFilter class that sums two instances of the IFilter interfaces to set with the setFilter() method defined in the Tab class or as base for an IFilter for a @Tab annotation; a new environment variable, XAVA_CALENDAR_VIEWEVENT_ACTION, to define the action on click in a calendar event; and a fix for passing-in the string, “ValidValuesRadioButton,” in the @Editor annotation for an enumeration that produced an IndexOutOfBoundsException in the log. More details on this release may be found in the release notes.

Posted on mongodb google news. Visit mongodb google news

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

Posted on mongodb google news. Visit mongodb google news

The chop of earnings season is almost done.

As the latest information is assimilated, stock prices will move up and down.

Sometimes violently so.

But this time of flux can be an opportunity for those who have done their homework.

The key right now is finding the right signals in amongst the wider market noise.

With that in mind, one result caught my eye last week.

It proves to me there’s a lot more substance behind the recent AI hype than critics realise. If you know where to look.

Let me explain…

Why’s a relatively obscure database company catching my attention?

The result that caught my eye wasn’t from one of the well-known ‘blue chips’.

Indeed, you mightn’t even have heard of this stock.

It was from a US company called MongoDB Inc [NASDAQ:MDB].

They specialise in cloud databases for developers and have been around since 2007.

As the blurb on their website says:

‘For the next generation of intelligent applications. Build applications on the industry’s first developer data platform. From AI-powered and event-driven apps to edge use cases and search, build fast and at the scale users demand.’

Since listing on the Nasdaq in 2017, the stock has risen a whopping 1,188% — from US$24 to US$392 in six years.

Not bad.

But why’s a relatively obscure database company catching my attention these days?

As I see it, MongoDB is sitting right at the heart of the action when it comes to a bigger story playing out.

I’m talking artificial intelligence (AI).

AI is all about gathering, sorting, and processing data. And to do that you need cutting-edge, widely used database infrastructure.

That’s what MongoDB is.

And why I think it’s the kind of stock worth paying attention to.

We all know Nvidia is surging on the back of this year’s AI hype. And the now US$1.2 trillion company backed up the hype with some solid earnings growth two weeks back.

They crushed analyst expectations by reporting earnings almost double what was expected.

As CEO Jensen Huang put it:

‘A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI,’

The AI naysayers have crawled back into their holes for now.

But here’s the thing…

MongoDB and some smaller companies like it are also poised to catch the AI wave coming our way over the next few years.

The way I see it, if the hype is real, the proof of the pudding will be found in companies like this.

And news last week suggests the party has started here too.

Last Thursday, MongoDB surprised analysts by exceeding expectations on both revenue and earnings.

As reported:

‘For the quarter ending July 31, MongoDB reported adjusted earnings per share of 93 cents, up from a loss of 23 cents per share in the same quarter of last year, on revenue of $423.8 million, up 40% year-over-year. Analysts were expecting a far more modest 46 cents per share on revenue of $393.68.’

That’s a pretty big beat, and the stock jumped 7% on the day of the release. It’s up 60% this year.

CEO Dev Ittycheria noted on the results:

‘We are at the early stages of AI powering the next wave of application development. We believe MongoDB provides developers a unified platform that supports both the foundational requirements necessary for any application and the exceptionally demanding needs of AI-specific applications, making our competitive advantage even stronger in the world of AI.’

Incidentally, the US$28 billion company has partnerships with both Google Cloud and Microsoft, as well as US$1.9 billion cash in the bank.

I’ll come back to the importance of this point later on.

But as I said before, this is a company sitting in the AI sweet spot.

The next few quarters will show just how much legs this company has.

But as is always the case with investing, if you wait for 100% proof you’re right, you’re usually waiting far too long!

First width, then depth

A last point of interest on this topic…

It’s worth understanding how software companies like MongoDB make money.

The most common form is a subscription model where users opt into a variety of products to suit their needs.

MongoDB explain their business model as relying on new customer growth in the short term, but long-term financial success is about upselling existing customers to more product lines.

It’s about width first, then depth.

But there’s also a third very important determinant of revenue.

And that’s simply the price they charge.

If you can charge more and not lose too many customers, then you should do it. In my undergraduate economics class this was called the ‘elasticity of demand’.

I mention this because I recently came across a note in The Information that stated most software companies are in the midst of raising prices right now.

They wrote:

‘Price increases for enterprise software firms are likely to underwrite revenue growth in the next year or so. Various companies in the sector have announced price increases in the past 12 months — from Salesforce to Shopify — in at least some parts of the world.’

This is an interesting trend to take note of if you’re investing in this space.

It means software companies that can pull this off without losing too much custom could see revenues rise significantly over the next 12 months.

On the other hand, those that can’t do this — either because their products aren’t sticky enough or they have tough competition — are likely to do worse.

It may be the case that the giants like Microsoft (that can bundle software packages together) do better in this environment.

But specialists, like MongoDB, that have big tech distribution may also be big beneficiaries of this trend.

As always, you need to dig deeper to understand the nuances of each business case.

But to me, it seems clear that the twin trends of big data and AI are going to be huge drivers of value in the software business over the next few years.

The key will be finding the big winners in amongst the flux.

Good investing,

<!– [if gte mso 15]> <![endif]–>

Ryan Dinse,
Editor, Money Morning

PS: I recently put together a report on the opportunities emerging in the fast-changing microchip sector. You can access this here.

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

Article originally posted on InfoQ. Visit InfoQ

At its Google Cloud Next conference, Google officially introduced new capabilities for its enterprise AI platform, Vertex AI, which aim to enable more advanced user workflows, among other things.

After announcing them at its last Google I/O conference as a technology preview, Google has extended Vertex AI Search and Conversation capabilities with new features and announced their general availability.

Thanks to Vertex AI Search, developers can retrieve information from a variety of enterprise sources, such as document repositories, databases, website, and other kinds of applications. They can, for example, easily build a search engine able to interact with customers based on that information, says Google.

Vertex AI Search and Conversation offers a simple orchestration layer to combine enterprise data with generative foundation models, as well as with conversational AI and information retrieval technologies.

Vertex AI Conversation enables the creation of natural-sounding, human-like chatbots. For example, developers can create a chatbot based on a website, enterprise documents, FAQs, emails, and so on.

Vertex AI lets developers combine deterministic workflows with generative outputs, combining rules-based processes with dynamic AI to create apps that are engaging but reliable.

The new features that Google has just announced should enable building intelligent apps that go beyond just retrieving important information by taking actions on behalf of their users.

They include support to handle follow-up-questions without restarting the interaction, thanks to multi-turn search; a tighter integration with third-party application using extensions and data connectors, which make it possible to connect to a variety of applications like MongoDB, Datastax, Salesforce, JIRA, and others; and the possibility of increasing confidence in the quality of returned results by basing generative outputs on enterprise data.

Vertex AI Search can also be combined with vector search to leverage its ability to find “similar” solutions with the aim of supporting semantic search, personalized recommendations, multi-modal search, and so on.

Vertex AI Search will in future support access controls to ensure users can only see information they are entitled to, and additional features like citations, relevance scores, and summarization.

Vertex AI is a platform aimed at developers with little machine learning expertise. A few months ago, Google made support for Generative AI on Vertex AI generally available, including the PaLM 2 powered text model, the Embeddings API for text, and foundational models in Model Garden.