Month: June 2025
MMS • Sergio De Simone
Article originally posted on InfoQ. Visit InfoQ
Anthropic has recently introduced support for connecting to remote MCP servers in Claude Code, allowing developers to integrate external tools and resources without manual local server setup.
The new capability makes it easier for developers to pull context from their existing tools, including security services, project management systems, and knowledge bases. For example, a developer can use the Sentry MCP server to get a list of errors and issues in their project, check whether fixes are available, and apply them using Claude, all within a unified workflow.
Additional integration examples include pulling data from APIs, accessing remote documentation, working with cloud services, collaborating on shared team resources, and more.
Before Claude Code natively supported remote MCP server, developers had to set up a local MCP server to integrate it with their existing toolchain.
Remote MCP servers offer a lower maintenance alternative to local servers: just add the vendor’s URL to Claude Code—no manual setup required. Vendors handle updates, scaling, and availability, so you can focus on building instead of managing server infrastructure.
For authentication, Claude Code supports OAuth 2.0 over HTTP or SSE, allowing developers to authenticate directly through the terminal without needing to provide an API key. For example, here’s how you can connect Claude Code to GitHub MCP:
$ claude mcp add --transport sse github-server https://api.github.com/mcp
>/mcp
The /mcp command, executed within Claude Code, opens an interactive menu that provides the option to authenticate using OAuth. This launches your browser to connect automatically to the OAuth provider. After successful authentication through the browser, Claude Code store the received access token locally.
Several Reddit users commented on Anthropic’s announcement, downplaying its significance and noting that, while convenient, this feature is far from being a game changer.
Others, however, emphasized the importance of Claude Code gaining support for streamable HTTP as an alternative to stdio for connecting to MCP servers.
According to Robert Matsukoa, former head of product engineering at Tripadvisor and currently CTO at Fractional, this is not just a convenient upgrade, but one that “alters the economics of AI tool integration”:
Remote servers eliminate infrastructure costs previously required for local MCP deployments. Teams no longer need to provision servers, manage updates, or handle scaling for MCP services.
However, Matsukoa notes that using MCP servers tipically increases costs by 25-30% due to the larger contexts pulled from external sources and that remote MCPs, by making this task easier, can actually compound those costs. So, careful consideration is required as to where it makes sense:
MCP’s advantages emerge in scenarios requiring deep contextual integration: multi-repository debugging sessions, legacy system analysis requiring historical context, or workflows combining multiple data sources simultaneously. The protocol excels when Claude needs to maintain state across tool interactions or correlate information from disparate systems.
Conversely, for workflows based on CLIs and standard APIs, he sees no need to go the MCP route.
Anthropic published a list of MCP servers developed in collaboration with their respective creators, but a more extensive collection is available on GitHub.
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Cherry Creek Investment Advisors Inc. boosted its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 529.0% during the 1st quarter, according to its most recent 13F filing with the Securities & Exchange Commission. The firm owned 8,058 shares of the company’s stock after purchasing an additional 6,777 shares during the quarter. Cherry Creek Investment Advisors Inc.’s holdings in MongoDB were worth $1,413,000 as of its most recent filing with the Securities & Exchange Commission.
Other institutional investors also recently bought and sold shares of the company. Strategic Investment Solutions Inc. IL purchased a new position in MongoDB during the fourth quarter valued at approximately $29,000. NCP Inc. purchased a new position in shares of MongoDB in the 4th quarter valued at $35,000. Coppell Advisory Solutions LLC increased its holdings in shares of MongoDB by 364.0% in the 4th quarter. Coppell Advisory Solutions LLC now owns 232 shares of the company’s stock valued at $54,000 after acquiring an additional 182 shares during the period. Smartleaf Asset Management LLC increased its holdings in shares of MongoDB by 56.8% in the 4th quarter. Smartleaf Asset Management LLC now owns 370 shares of the company’s stock valued at $87,000 after acquiring an additional 134 shares during the period. Finally, J.Safra Asset Management Corp increased its holdings in shares of MongoDB by 72.0% in the 4th quarter. J.Safra Asset Management Corp now owns 387 shares of the company’s stock valued at $91,000 after acquiring an additional 162 shares during the period. 89.29% of the stock is currently owned by hedge funds and other institutional investors.
Insider Transactions at MongoDB
In related news, CAO Thomas Bull sold 301 shares of the company’s stock in a transaction dated Wednesday, April 2nd. The shares were sold at an average price of $173.25, for a total transaction of $52,148.25. Following the completion of the transaction, the chief accounting officer now owns 14,598 shares in the company, valued at $2,529,103.50. This represents a 2.02% decrease in their position. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is available at the SEC website. Also, CFO Srdjan Tanjga sold 525 shares of the company’s stock in a transaction dated Wednesday, April 2nd. The stock was sold at an average price of $173.26, for a total transaction of $90,961.50. Following the transaction, the chief financial officer now owns 6,406 shares of the company’s stock, valued at approximately $1,109,903.56. This trade represents a 7.57% decrease in their position. The disclosure for this sale can be found here. Insiders sold a total of 50,382 shares of company stock valued at $10,403,807 in the last three months. 3.10% of the stock is currently owned by company insiders.
MongoDB Price Performance
MDB opened at $201.50 on Friday. The firm has a fifty day moving average price of $185.96 and a 200 day moving average price of $221.16. MongoDB, Inc. has a 1 year low of $140.78 and a 1 year high of $370.00. The stock has a market cap of $16.46 billion, a P/E ratio of -176.75 and a beta of 1.39.
MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings data on Wednesday, June 4th. The company reported $1.00 earnings per share for the quarter, topping analysts’ consensus estimates of $0.65 by $0.35. The business had revenue of $549.01 million during the quarter, compared to the consensus estimate of $527.49 million. MongoDB had a negative net margin of 4.09% and a negative return on equity of 3.16%. The company’s revenue was up 21.8% compared to the same quarter last year. During the same quarter in the prior year, the firm posted $0.51 earnings per share. Equities analysts expect that MongoDB, Inc. will post -1.78 EPS for the current year.
Wall Street Analysts Forecast Growth
MDB has been the topic of several analyst reports. Stifel Nicolaus cut their target price on MongoDB from $340.00 to $275.00 and set a “buy” rating on the stock in a research note on Friday, April 11th. The Goldman Sachs Group lowered their price target on shares of MongoDB from $390.00 to $335.00 and set a “buy” rating on the stock in a report on Thursday, March 6th. Needham & Company LLC reaffirmed a “buy” rating and issued a $270.00 price objective on shares of MongoDB in a research report on Thursday, June 5th. Citigroup cut their price objective on shares of MongoDB from $430.00 to $330.00 and set a “buy” rating on the stock in a research report on Tuesday, April 1st. Finally, Royal Bank Of Canada restated an “outperform” rating and issued a $320.00 target price on shares of MongoDB in a research note on Thursday, June 5th. Eight research analysts have rated the stock with a hold rating, twenty-four have given a buy rating and one has assigned a strong buy rating to the company’s stock. According to data from MarketBeat, the stock currently has an average rating of “Moderate Buy” and a consensus target price of $282.47.
Check Out Our Latest Analysis on MDB
MongoDB Company Profile
MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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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MMS • Robert Krzaczynski
Article originally posted on InfoQ. Visit InfoQ
Chris McCord has released Phoenix.new, a browser-native agent platform that gives large language models full-stack control over Elixir development environments. Designed to work entirely in the cloud, Phoenix.new spins up real Phoenix apps inside ephemeral VMs—complete with root shell access, a full browser, GitHub integration, and live deployment URLs—allowing LLM agents to build, test, and iterate in real time.
Phoenix.new allows users to spin up Elixir projects directly in their browser. The agents can install packages, modify code, launch servers, and even run integration tests, all without touching the local machine. Each environment is powered by Fly.io’s infrastructure and behaves like a full development system, complete with a root shell and live preview URLs.
What distinguishes Phoenix.new is its alignment with the Phoenix framework’s real-time and collaborative features. When an agent adds a front-end component, it goes beyond verifying compilation—it launches a browser session, loads the application, and interacts with it programmatically. Updates are reflected live across open preview tabs, enabling continuous feedback during development.
Phoenix.new agents can also explore live databases via CLI tools, propose schema-aware Ecto models, and generate full-stack apps that use WebSockets, LiveView, and Presence. Developers can guide the agents or let them work asynchronously—triaging GitHub issues, generating pull requests, and iterating independently on running codebases.
In a live demo at ElixirConfEU, Phoenix.new generated a functional Tetris game using Phoenix LiveView from a single prompt. While there are few public examples combining LiveView with game logic, the agent was able to draw on general knowledge of web frameworks and interactive applications to complete the task.
While Phoenix.new operates inside Fly.io’s virtual machines, questions have been raised about vendor lock-in. Responding to one such concern on Hacker News, McCord clarified:
Everything starts as a stock phx.new app which uses SQLite by default. Nothing is specific to Fly. You should be able to copy the git clone URL, paste,
cd && mix deps.get && mix phx.serverlocally and the app will just work.
McCord envisions a future where agent collaboration happens not only during coding sessions but continuously, even while developers are offline. With growing support for multiple languages and frameworks beyond Elixir, Phoenix.new is poised to become a powerful entry point for cloud-native, AI-assisted development.
The platform is available now at phoenix.new, with continued updates planned throughout 2025.
TC39 Advances Nine JavaScript Proposals, Including Array.fromAsync, Error.isError, and using
MMS • Bruno Couriol
Article originally posted on InfoQ. Visit InfoQ
The Ecma Technical Committee 39 (TC39), the body responsible for the evolution of JavaScript (ECMAScript), recently advanced nine proposals through its stage process, with three new language features becoming part of the standard: Array.fromAsync, Error.isError, and explicit resource management with using.
Array.fromAsync is a utility for creating arrays from asynchronous iterables. This simplifies collecting data from sources like asynchronous generators or streams, eliminating the need for manual for await...of loops.
The feature explainer provides the following real-world example from the httptransfer module:
async function toArray(items) {
const result = [];
for await (const item of items) {
result.push(item);
}
return result;
}
it('empty-pipeline', async () => {
const pipeline = new Pipeline();
const result = await toArray(
pipeline.execute(
[ 1, 2, 3, 4, 5 ]));
assert.deepStrictEqual(
result,
[ 1, 2, 3, 4, 5 ],
);
});
With the new syntax, this becomes:
it('empty-pipeline', async () => {
const pipeline = new Pipeline();
const result = await Array.fromAsync(
pipeline.execute(
[ 1, 2, 3, 4, 5 ]));
assert.deepStrictEqual(
result,
[ 1, 2, 3, 4, 5 ],
);
});
The Error.isError() method also advances to Stage 4, providing a reliable way to check if a value is an error instance. The alternative instanceof Error was considered unreliable because it will provide a false negative with a cross-realm (e.g., from an iframe, or node’s vm modules) Error instance.
Another proposal reaching Stage 4 is Explicit Resource Management, introducing a using declaration for managing resources like files or network connections that need explicit cleanup. This proposal is motivated in particular by inconsistent patterns for resource management: iterator.return() for ECMAScript Iterators, reader.releaseLock() for WHATWG Stream Readers, handle.close() for NodeJS FileHandles, and more.
There are also several footguns that the proposal alleviates. For instance, when managing multiple resources:
const a = ...;
const b = ...;
try {
...
}
finally {
a.close();
b.close();
}
Import Attributes (formerly Import Assertions) advances to Stage 3. This feature allows developers to add metadata to import declarations to provide information about the expected type of the module, such as JSON or CSS.
Other proposals moving forward at various stages include Promise.try, aimed at simplifying error handling in promise chains, RegExp.escape for safely escaping strings within regular expressions, and more. Developers may review the full list in a blog article online.
TC39 is the committee that evolves JavaScript. Its members include, among others, all major browser vendors. Each proposal for an ECMAScript feature goes through the following maturity stages:
- Stage 0: Strawman
- Stage 1: Proposal
- Stage 2: Draft
- Stage 3: Candidate
- Stage 4: Finished
A feature will be included in the standard once its proposal has reached stage 4 and thus can be used safely. Browser support may however lag behind adoption of the features in the standard.
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Sowell Financial Services LLC bought a new position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) in the 1st quarter, according to its most recent 13F filing with the Securities & Exchange Commission. The fund bought 1,502 shares of the company’s stock, valued at approximately $263,000.
Several other hedge funds and other institutional investors have also added to or reduced their stakes in the business. Janney Montgomery Scott LLC purchased a new position in MongoDB during the first quarter worth about $458,000. Exchange Traded Concepts LLC grew its position in MongoDB by 92.3% during the first quarter. Exchange Traded Concepts LLC now owns 15,571 shares of the company’s stock worth $2,731,000 after buying an additional 7,472 shares in the last quarter. Stanley Laman Group Ltd. grew its position in MongoDB by 10.7% during the first quarter. Stanley Laman Group Ltd. now owns 35,767 shares of the company’s stock worth $6,274,000 after buying an additional 3,466 shares in the last quarter. GraniteShares Advisors LLC grew its position in MongoDB by 7.5% during the first quarter. GraniteShares Advisors LLC now owns 1,880 shares of the company’s stock worth $330,000 after buying an additional 131 shares in the last quarter. Finally, Union Bancaire Privee UBP SA grew its position in MongoDB by 28.0% during the first quarter. Union Bancaire Privee UBP SA now owns 20,018 shares of the company’s stock worth $3,441,000 after buying an additional 4,380 shares in the last quarter. 89.29% of the stock is currently owned by hedge funds and other institutional investors.
Analysts Set New Price Targets
A number of equities analysts have recently issued reports on MDB shares. Barclays upped their price objective on MongoDB from $252.00 to $270.00 and gave the stock an “overweight” rating in a report on Thursday, June 5th. Rosenblatt Securities cut their price objective on MongoDB from $305.00 to $290.00 and set a “buy” rating for the company in a report on Thursday, June 5th. Redburn Atlantic upgraded MongoDB from a “sell” rating to a “neutral” rating and set a $170.00 price objective for the company in a report on Thursday, April 17th. Bank of America upped their price objective on MongoDB from $215.00 to $275.00 and gave the stock a “buy” rating in a report on Thursday, June 5th. Finally, Wells Fargo & Company lowered shares of MongoDB from an “overweight” rating to an “equal weight” rating and reduced their target price for the company from $365.00 to $225.00 in a report on Thursday, March 6th. Eight investment analysts have rated the stock with a hold rating, twenty-four have assigned a buy rating and one has given a strong buy rating to the company’s stock. Based on data from MarketBeat, the stock has a consensus rating of “Moderate Buy” and a consensus price target of $282.47.
Check Out Our Latest Report on MDB
MongoDB Stock Down 1.3%
Shares of NASDAQ:MDB opened at $201.50 on Friday. The stock has a market capitalization of $16.46 billion, a P/E ratio of -176.75 and a beta of 1.39. MongoDB, Inc. has a 52 week low of $140.78 and a 52 week high of $370.00. The firm has a fifty day simple moving average of $185.96 and a two-hundred day simple moving average of $221.16.
MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings data on Wednesday, June 4th. The company reported $1.00 earnings per share (EPS) for the quarter, beating the consensus estimate of $0.65 by $0.35. The business had revenue of $549.01 million during the quarter, compared to analyst estimates of $527.49 million. MongoDB had a negative return on equity of 3.16% and a negative net margin of 4.09%. The company’s revenue for the quarter was up 21.8% on a year-over-year basis. During the same period last year, the company earned $0.51 EPS. On average, analysts expect that MongoDB, Inc. will post -1.78 earnings per share for the current year.
Insider Buying and Selling
In other news, Director Hope F. Cochran sold 1,174 shares of the company’s stock in a transaction that occurred on Tuesday, June 17th. The shares were sold at an average price of $201.08, for a total value of $236,067.92. Following the completion of the sale, the director now owns 21,096 shares of the company’s stock, valued at approximately $4,241,983.68. This represents a 5.27% decrease in their position. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this link. Also, CAO Thomas Bull sold 301 shares of the stock in a transaction that occurred on Wednesday, April 2nd. The shares were sold at an average price of $173.25, for a total transaction of $52,148.25. Following the transaction, the chief accounting officer now owns 14,598 shares in the company, valued at approximately $2,529,103.50. This represents a 2.02% decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold 50,382 shares of company stock valued at $10,403,807 in the last 90 days. Company insiders own 3.10% of the company’s stock.
MongoDB Company Profile
MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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.
Read More
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 – Free Report).
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.
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While MongoDB currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys.
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Couchbase jumps 28% after agreeing to be acquired for $24.50 per share – Yahoo Finance
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Posted on nosqlgooglealerts. Visit nosqlgooglealerts
Shares of Couchbase (BASE) have jumped $5.40, or 28.5%, to $24.33 after the company announced a definitive agreement to be acquired by Haveli Investments for $24.50 per share in an all-cash transaction valued at approximately $1.5B. Some other names in the cloud-based database platforms, NoSQL database, data storage, an infrastructure software space include MongoDB (MDB), DigitalOcean (DOCN), Elastic (ESTC) and Datadog (DDOG).
Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. >;elm:context_link;itc:0;sec:content-canvas” class=”link “>Try Now>>
Read More on BASE:
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Cohesity is getting closer to MongoDB by providing more advanced performance and control capabilities for backup and recovery of MongoDB databases.
Cyber resilience supplier Cohesity says it’s among the first data protection software providers to deliver MongoDB workload protection through the MongoDB Third Party Backup Ops Manager API with its DataProtect offering. Rubrik also supports this API.
Document database supplier MongoDB produces one of the top five NoSQL databases and has a massive user community. It is a publicly owned business that earned revenues of $2 billion in fiscal 2025 and competes against traditional relational database heavyweights like Oracle and IBM. MongoDB sells both an on-premises version of its database and a cloud version, called Atlas, which is sold through the AWS, Azure, and GCP clouds.
Vasu Murthy, Cohesity SVP and chief product officer, stated: “With ransomware attacks now commonplace, cyber resilience is a strategic priority for all organizations. This is particularly true of large enterprises, which have a very low tolerance for risk. Downtime for any reason can mean millions of dollars and massive reputational damage. As trusted providers for many of the world’s largest companies, Cohesity and MongoDB are working together to strengthen our customers’ ability to bounce back fast.”
Cohesity said its DataProtect-MongoDB integration, now generally available, features:
- Parallel data streams to enable billions of objects to be processed instantaneously.
- Cohesity’s backups get customers’ MongoDB databases back online 4x faster than traditional methods.
- A scale-out architecture providing petabyte-sized support on a single platform. Customers can reduce their data footprint with global, variable-length deduplication and compression.
- Immutable write once, read many (WORM) storage, data encryption in flight and at rest, continuous data protection, secure SSL authentication, and a multi-layer defense posture based on Zero Trust security principles.
- Business continuity and redundancy with protection of replica sets and sharded clusters with flexible secondary, primary, or fixed preferred backup nodes – enabling continuous availability and failover readiness. Customers can achieve stricter SLAs (both RPOs and RTOs) and eliminate data loss in high-velocity environments.
- Support for sharded and Replica Set deployments.
- Application-consistent backups across complex MongoDB deployments through tightly integrated snapshot orchestration.
- Disaster recovery with restoration of MongoDB clusters in-place or to new environments following failures or ransomware events.
- Safe evaluation of performance enhancements or upgrades on alternate hardware with no production downtime.
- Seamless refreshment of development environments using out-of-place recovery from clean, consistent MongoDB backups.
A Cohesity blog says the integrated DataProtect-MongoDB offering “is designed for enterprises with large-scale, mission-critical MongoDB environments – think global banks, financial services firms, and Fortune 500 companies.”
It “auto-discovers MongoDB Ops Manager (OM) objects, enabling a frictionless and intuitive user experience. It also fully supports OM instances running in High Availability (HA) mode and with SSL encryption – ensuring secure, resilient protection for even the most demanding environments.”
MongoDB’s SVP of Product Management, Benjamin Cefalo, said: “As the leading document database for modern applications, MongoDB empowers organizations to build, scale, and innovate faster. Our collaboration with Cohesity reinforces that mission by helping customers protect their data with robust, enterprise-grade resilience – without compromising the agility and performance developers expect from our platform.”
Article originally posted on mongodb google news. Visit mongodb google news
MMS • Robert Krzaczynski
Article originally posted on InfoQ. Visit InfoQ
AlphaWrite is a new framework designed to enhance creative writing with structure and measurable improvements. Developed by Toby Simonds, it employs an evolutionary process to iteratively boost storytelling quality during inference.
Creative generation has long been a challenge for large language models (LLMs), not due to a lack of fluency, but because of the difficulty in evaluating subjective qualities such as character development, emotional impact, and narrative cohesion. AlphaWrite addresses this by borrowing ideas from evolutionary algorithms and systems like AlphaEvolve, applying them to story generation.
The system operates in iterative cycles. It first generates a broad population of diverse stories, varying in author style and theme. Then, an LLM-based judge conducts pairwise comparisons using a detailed narrative quality rubric and Elo rating system. Top-performing stories are selected to spawn variants with guided improvements in structure, dialogue, or prose, among other dimensions. This process is repeated across generations, aiming to refine stories over time.
Source: tobysimonds.com
As Toby Simonds, a creator of AlphaWrite, shared on X:
The magic is in the evolutionary pressure. Stories don’t just get generated once – they compete, mutate, and improve across generations. Top performers become ‘parents’ for the next generation, while weak stories get replaced by promising variants.
Early experiments using Llama 3.1 8B suggest notable gains. Stories produced by AlphaWrite were preferred 72% of the time over initial single-shot generations and 62% over stories created through sequential prompting, both statistically significant. The system also supports recursive improvement: refined outputs are distilled into the base model, which can then undergo another round of evolution.
Source: tobysimonds.com
While the results are promising, not everyone welcomes the development. One user on Hacker News commented:
If there is something that I would like AI to never touch, it’s that. Please stop making the world worse.
In response, another user added:
Not everyone shares your same worldview… You don’t have to participate; ignore AI-generated or AI-assisted content… But you also don’t have to devalue and dismiss the interests of others.
These differing reactions reflect broader cultural tensions around AI’s role in creative domains—whether it enhances or erodes human expression. The AlphaWrite team acknowledges that evaluating story quality remains subjective and warns of risks like prompt bias and creative convergence.
Nonetheless, AlphaWrite’s potential reaches beyond fiction. The authors note that the system helped draft parts of their paper and could be adapted to technical writing, marketing, and academic content. With suitable rubrics, the method could be applied to optimize specific writing tasks or even to improve foundation models themselves.
The code is available in the AlphaWrite GitHub repository for developers and researchers to explore.
MMS • Mark Silvester
Article originally posted on InfoQ. Visit InfoQ
Docker has introduced a new range of security-focused base images designed for production use, aiming to reduce vulnerabilities and support secure software supply chains across containerised applications.
Docker Hardened Images (DHI) are a curated set of minimal images built from source using a distroless approach. By removing shells, package managers, and other unnecessary components, the images are designed to reduce the attack surface of containerised workloads significantly.
According to Docker, the hardened images reduce the vulnerability footprint by up to 95% compared to traditional base images. Each image is maintained with automated patching and ongoing security updates, aiming for a near-zero number of known CVEs. Critical and high-severity vulnerabilities are patched within seven days, backed by a defined service-level agreement.
The hardened images are designed to be drop-in replacements for popular base images, such as Alpine and Debian. Docker has focused on ensuring compatibility with existing Dockerfiles to minimise disruption to build pipelines. A customisation layer allows teams to add their own certificates, packages, and configuration files on top of the secure base.
DHI images also include signed Software Bill of Materials (SBOMs) and provenance metadata, supporting increased transparency and supply chain visibility. These features may be particularly relevant for teams operating in regulated industries or security-sensitive environments, where additional assurance and traceability are valued.
Docker has announced early integration partners, including Microsoft, GitLab, JFrog, NGINX, Sysdig, Wiz, and Sonatype. These collaborations aim to ensure DHI works seamlessly with popular security and CI/CD tooling.
In internal testing, Docker reports that swapping a standard Node.js image for a hardened variant led to a 98% reduction in the number of installed packages and the elimination of known CVEs. The initial catalogue includes hardened images for common runtimes, including Python, Go, and Java.
DHI is now available via Docker Hub, with access determined by Docker’s subscription tiers. The setup documentation and customisation tools are included as part of the release.
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Covea Finance grew its position in MongoDB, Inc. (NASDAQ:MDB – Free Report) by 72.1% in the first quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. The institutional investor owned 28,400 shares of the company’s stock after buying an additional 11,900 shares during the quarter. Covea Finance’s holdings in MongoDB were worth $4,981,000 at the end of the most recent quarter.
Other hedge funds have also made changes to their positions in the company. Norges Bank purchased a new stake in MongoDB during the 4th quarter worth about $189,584,000. Marshall Wace LLP purchased a new stake in MongoDB during the 4th quarter worth about $110,356,000. Raymond James Financial Inc. purchased a new stake in MongoDB during the 4th quarter worth about $90,478,000. D1 Capital Partners L.P. purchased a new stake in MongoDB during the 4th quarter worth about $76,129,000. Finally, Amundi increased its position in MongoDB by 86.2% during the 4th quarter. Amundi now owns 693,740 shares of the company’s stock worth $172,519,000 after purchasing an additional 321,186 shares in the last quarter. Hedge funds and other institutional investors own 89.29% of the company’s stock.
Insiders Place Their Bets
In other MongoDB news, Director Hope F. Cochran sold 1,175 shares of the stock in a transaction on Tuesday, April 1st. The stock was sold at an average price of $174.69, for a total value of $205,260.75. Following the sale, the director now directly owns 19,333 shares of the company’s stock, valued at $3,377,281.77. This trade represents a 5.73% decrease in their ownership of the stock. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at this link. Also, CEO Dev Ittycheria sold 25,005 shares of the stock in a transaction on Thursday, June 5th. The stock was sold at an average price of $234.00, for a total value of $5,851,170.00. Following the completion of the sale, the chief executive officer now directly owns 256,974 shares in the company, valued at $60,131,916. This represents a 8.87% decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold 50,382 shares of company stock worth $10,403,807 in the last three months. 3.10% of the stock is owned by insiders.
MongoDB Stock Performance
MongoDB stock opened at $201.50 on Friday. MongoDB, Inc. has a one year low of $140.78 and a one year high of $370.00. The stock’s 50 day moving average price is $185.18 and its 200 day moving average price is $222.83. The firm has a market capitalization of $16.46 billion, a PE ratio of -176.75 and a beta of 1.39.
MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings data on Wednesday, June 4th. The company reported $1.00 earnings per share (EPS) for the quarter, topping the consensus estimate of $0.65 by $0.35. MongoDB had a negative return on equity of 3.16% and a negative net margin of 4.09%. The company had revenue of $549.01 million for the quarter, compared to the consensus estimate of $527.49 million. During the same period in the previous year, the business earned $0.51 EPS. MongoDB’s revenue for the quarter was up 21.8% compared to the same quarter last year. On average, analysts forecast that MongoDB, Inc. will post -1.78 earnings per share for the current fiscal year.
Analysts Set New Price Targets
A number of analysts recently commented on MDB shares. Daiwa America upgraded MongoDB to a “strong-buy” rating in a research report on Tuesday, April 1st. Needham & Company LLC restated a “buy” rating and issued a $270.00 price target on shares of MongoDB in a report on Thursday, June 5th. Bank of America lifted their price target on MongoDB from $215.00 to $275.00 and gave the company a “buy” rating in a report on Thursday, June 5th. UBS Group lifted their price target on MongoDB from $213.00 to $240.00 and gave the company a “neutral” rating in a report on Thursday, June 5th. Finally, Robert W. Baird lowered their price target on MongoDB from $390.00 to $300.00 and set an “outperform” rating for the company in a report on Thursday, March 6th. Eight research analysts have rated the stock with a hold rating, twenty-four have given a buy rating and one has given a strong buy rating to the company’s stock. According to MarketBeat.com, MongoDB has a consensus rating of “Moderate Buy” and a consensus price target of $282.47.
Check Out Our Latest Research Report on MongoDB
MongoDB Company Profile
MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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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