Month: May 2025
Java News Roundup: Java Turns 30, Hibernate ORM 7.0, Embabel, jaz, Open Liberty, Eclipse DataGrid

MMS • Michael Redlich
Article originally posted on InfoQ. Visit InfoQ

This week’s Java roundup for May 19th, 2025 features news highlighting: Java’s 30th birthday; the release of Hibernate ORM 7.0 and Hibernate Validator 9.0; the May 2025 edition of Open Liberty; the first beta release of JobRunr 8.0; and the introduction of Embabel, jaz
, and Eclipse DataGrid.
Happy 30th Birthday, Java!
On May 23rd, 1995 at the Sun World conference in San Francisco, California, Sun Microsystems formally introduced the Java programming language. Oracle marked this milestone with their 30th Birthday Event, hosted by Java Developer Advocates, Ana-Maria Mihalceanu, Billy Korando and Nicolai Parlog along with Sharat Chander, Senior Director, Product Management & Developer Engagement at Oracle. This special six-hour event featured many guests on a variety of topics. InfoQ will follow up with a more detailed news story.
OpenJDK
With Rampdown Phase One scheduled for June 5, 2025, the following JEPs have been elevated from Proposed to Target to Targeted for JDK 25:
Similarly, the following JEPs have been elevated from Candidate to Proposed to Target for JDK 25:
The reviews for the JEPs that have been Proposed to Target are expected to conclude by Tuesday, May 27, 2025.
Version 7.5.2 of the Regression Test Harness for the JDK, jtreg
, has been released and ready for integration in the JDK. The most significant changes include: support for using the ${test.main.class}
template to use the current class name for test actions; the ability to configure the default timeout value in jtreg
tests via a properties file; and support for .jasm
and .jcod
files in patched Java modules. Further details on this release may be found in the release notes.
JDK 25
Build 24 of the JDK 25 early-access builds was made available this past week featuring updates from Build 23 that include fixes for various issues. More details on this release may be found in the release notes.
For JDK 25, developers are encouraged to report bugs via the Java Bug Database.
Jakarta EE
In his weekly Hashtag Jakarta EE blog, Ivar Grimstad, Jakarta EE Developer Advocate at the Eclipse Foundation, provided an update on Jakarta EE 11 and Jakarta EE 12, writing:
The Jakarta EE 11 TCK is very close to being finalized, so it looks like we are on the path of getting the Jakarta EE 11 Platform release out the door in the middle of June.
The work with Jakarta EE 12 is on track according to the Jakarta EE 12 Release Plan. Plan reviews have been completed, and discussions right now are around which specifications to add (if any) to the Platform, and which to possibly deprecate.
The road to Jakarta EE 11 included five milestone releases, the release of the Core Profile in December 2024, the release of Web Profile in April 2025, and a first release candidate of the Platform before its anticipated GA release in June 2025.
Spring Framework
It was a busy week over at Spring as the various teams have delivered GA releases of Spring Boot, Spring Security, Spring Authorization Server, Spring Session, Spring Integration, Spring for GraphQL, Spring AI and Spring Web Services. Further details may be found in this InfoQ news story.
The Spring Data team has introduced their plan to lower the barrier to entry related to the different approaches with technologies (GraalVM, CRaC, CDS, etc.) that reduce application startup times. With the upcoming release of Spring Data 2025.1 (AKA version 4.0), repositories will be migrating to Ahead-of-Time compilation. This means they will be shifting all the “repository preparations that are done at application startup to build time.” This may be accomplished by setting the spring.aot.repositories.enabled
property to true
.
Microsoft Azure
Microsoft has introduced their new Azure Command Launcher for Java, named jaz, to address “suboptimal resource utilization in cloud-based deployments, where memory and CPU tend to be dedicated for application workloads (use of containers and VMs) but still require intelligent management to maximize efficiency and cost-effectiveness.” This means that instead of writing:
$ JAVA_OPTS="-XX:... several JVM tuning flags"
$ java $JAVA_OPTS -jar myapp.jar"
Developers can now write:
$ jaz -jar myapp.jar
jaz
is currently in private preview and requests for access may be made here.
Open Liberty
IBM has released version 25.0.0.5 of Open Liberty featuring bug fixes and the ability for the MicroProfile Telemetry 2.0 (mpTelemetry-2.0
) feature to collect and send Open Liberty HTTP access logs, such as export traces, metrics, and logs, to OpenTelemetry.
Quarkus
The Quarkus team has announced that Quarkus MCP Server 1.2.0 now supports streamable HTTP, along with the stdio
and SSE
transports, that make it possible to connect mobile applications and cloud services to MCP servers. While this is considered a full implementation, the Quarkus team plans future releases to include resumability and redelivery.
Hibernate
The release of Hibernate ORM 7.0.0.Final delivers new features such as: a new QuerySpecification
interface that provides a common set of methods for all query specifications that allow for iterative, programmatic building of a query; and a migration from Hibernate Commons Annotations (HCANN) to the new Hibernate Models project for low-level processing of an application domain model. There is also support for the Jakarta Persistence 3.2 specification, the latest version targeted for Jakarta EE 11. More details on this release may be found in the release notes and the migration guide.
The release of Hibernate Validator 9.0.0.Final provides bug fixes, dependency upgrades and notable changes such as: new constraints, @KorRRN
and @BitcoinAddress
, annotations that check for a valid Korean resident registration number and a well-formed BTC (Bitcoin) Mainnet address, respectively; and a new BOM that provides dependency management for all of the published artifacts. This release is the compatible implementation of the Jakarta Validation 3.1 specification.
Details on both of these releases may be found in this blog post by Gavin King, Senior Distinguished Engineer at IBM and creator of Hibernate.
Embabel Agent Framework
Rod Johnson, former CEO at Atomist and father of the Spring Framework, has introduced the Embabel Agent Framework for the JVM written in Kotlin. As described by Johnson:
It introduces some ideas that I think are novel: a planning step using a non-LLM AI algorithm; and a rich domain model that can expose behavior as LLM tools as well as in Java or Kotlin code.
Embabel was built on Spring and offers a full MCP integration with Spring AI. InfoQ will follow up with a more detailed news story.
JobRunr
The first beta release of JobRunr 8.0.0 features: ahead-of-time scheduled recurring jobs where JobRunr schedules a recurring job as soon as the previous run is finished; and support for Kotlin serialization with a new KotlinxSerializationJsonMapper
class, an implementation of the JsonMapper
interface, for an improved experience when writing JobRunr applications in Kotlin. Further details on this release may be found in the release notes.
Eclipse DataStore
The Eclipse Foundation and Microstream have introduced a new open-source project, Eclipse DataGrid, designed to be a pure Java in-memory data processing layer for distributed EclipseStore applications. As a result, Microstream will open-source their in-memory data platform and transfer the codebase to Eclipse DataGrid. Features include: a distributed Java object graph model; seamless integration with the Java Streams API; and integration with Apache Lucene and Kubernetes.

MMS • RSS
Posted on mongodb google news. Visit mongodb google news
USS Investment Management Ltd trimmed its holdings in MongoDB, Inc. (NASDAQ:MDB – Free Report) by 15.2% in the 4th quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The firm owned 13,409 shares of the company’s stock after selling 2,412 shares during the quarter. USS Investment Management Ltd’s holdings in MongoDB were worth $3,121,000 as of its most recent SEC filing.
Other hedge funds and other institutional investors have also added to or reduced their stakes in the company. Strategic Investment Solutions Inc. IL bought a new position in MongoDB in the 4th quarter worth approximately $29,000. NCP Inc. bought a new position in MongoDB in the 4th quarter worth approximately $35,000. Coppell Advisory Solutions LLC boosted its stake in MongoDB by 364.0% in the 4th quarter. Coppell Advisory Solutions LLC now owns 232 shares of the company’s stock worth $54,000 after purchasing an additional 182 shares during the period. Smartleaf Asset Management LLC raised its holdings in shares of MongoDB by 56.8% during the 4th quarter. Smartleaf Asset Management LLC now owns 370 shares of the company’s stock worth $87,000 after acquiring an additional 134 shares in the last quarter. Finally, Manchester Capital Management LLC raised its holdings in shares of MongoDB by 57.4% during the 4th quarter. Manchester Capital Management LLC now owns 384 shares of the company’s stock worth $89,000 after acquiring an additional 140 shares in the last quarter. 89.29% of the stock is currently owned by institutional investors.
Insider Transactions at MongoDB
In other news, CEO Dev Ittycheria sold 18,512 shares of the stock in a transaction on Wednesday, April 2nd. The stock was sold at an average price of $173.26, for a total transaction of $3,207,389.12. Following the transaction, the chief executive officer now owns 268,948 shares of the company’s stock, valued at approximately $46,597,930.48. This represents a 6.44% decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which can be accessed through this link. Also, CAO Thomas Bull sold 301 shares of the stock in a transaction on Wednesday, April 2nd. The stock was sold at an average price of $173.25, for a total value of $52,148.25. Following the transaction, the chief accounting officer now directly owns 14,598 shares in the company, valued at $2,529,103.50. The trade was a 2.02% decrease in their position. The disclosure for this sale can be found here. In the last 90 days, insiders have sold 33,538 shares of company stock valued at $6,889,905. 3.60% of the stock is currently owned by corporate insiders.
MongoDB Stock Down 1.4%
Shares of MongoDB stock opened at $185.85 on Friday. The stock’s fifty day moving average is $174.75 and its two-hundred day moving average is $236.90. The company has a market capitalization of $15.09 billion, a PE ratio of -67.83 and a beta of 1.49. MongoDB, Inc. has a 52 week low of $140.78 and a 52 week high of $370.00.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings data on Wednesday, March 5th. The company reported $0.19 EPS for the quarter, missing the consensus estimate of $0.64 by ($0.45). The business had revenue of $548.40 million during the quarter, compared to the consensus estimate of $519.65 million. MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. During the same period last year, the company earned $0.86 EPS. As a group, research analysts anticipate that MongoDB, Inc. will post -1.78 earnings per share for the current year.
Analyst Ratings Changes
Several analysts have recently issued reports on MDB shares. Stifel Nicolaus decreased their price objective on MongoDB from $340.00 to $275.00 and set a “buy” rating on the stock in a report on Friday, April 11th. The Goldman Sachs Group decreased their price objective on MongoDB from $390.00 to $335.00 and set a “buy” rating on the stock in a report on Thursday, March 6th. Barclays decreased their price objective on MongoDB from $280.00 to $252.00 and set an “overweight” rating on the stock in a report on Friday, May 16th. Truist Financial decreased their price objective on MongoDB from $300.00 to $275.00 and set a “buy” rating on the stock in a report on Monday, March 31st. Finally, Oppenheimer decreased their price objective on MongoDB from $400.00 to $330.00 and set an “outperform” rating on the stock in a report on Thursday, March 6th. Nine equities research analysts have rated the stock with a hold rating, twenty-three have assigned a buy rating and one has issued a strong buy rating to the company’s stock. Based on data from MarketBeat, MongoDB presently has a consensus rating of “Moderate Buy” and an average target price of $288.91.
Check Out Our Latest Stock Analysis 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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Article originally posted on mongodb google news. Visit mongodb google news

MMS • Craig Risi
Article originally posted on InfoQ. Visit InfoQ

Cloudflare has unveiled thirteen new Model Context Protocol (MCP) servers, enhancing the integration of AI agents with its platform. These servers allow AI clients to interact with Cloudflare’s services through natural language, streamlining tasks such as debugging, data analysis, and security monitoring.
An MCP server is a specialized type of server introduced by Cloudflare as part of their infrastructure to support AI agents in executing, debugging, and managing tasks securely and efficiently.
The concept of MCP servers is built around the idea of giving AI agents (like those used in autonomous workflows or natural language interfaces) safe, controlled access to the tools and data they need to operate effectively. These servers don’t just run arbitrary workloads—they are tightly scoped, auditable environments that expose specific capabilities to AI models.
The new MCP servers from Cloudflare introduce several key features designed to enhance the capabilities of AI agents interfacing with cloud infrastructure. The thirteen new servers and what they do are described below, as detailed in Cloudflare’s blog post.
The Workers Observability Server provides valuable insights into application logs and errors. This feature is crucial for rapid debugging and optimizing performance, enabling AI agents and developers to diagnose issues more efficiently.
With the Radar Server, AI agents gain access to global internet traffic data. This allows for sophisticated analysis of network trends and detection of anomalies, supporting a wide range of use cases from cybersecurity to performance monitoring.
The Logpush Server plays a critical role in summarizing log data, making it easier to identify and troubleshoot issues in log delivery mechanisms. It helps ensure logs are reaching their intended destinations and maintains visibility over logging workflows.
The AI Gateway Server enables inspection of AI Gateway logs. This means agents can review prompt histories and model responses, allowing for better debugging, tuning, and understanding of AI behavior within applications.
The AutoRAG Server is particularly useful for enabling AI agents to search and retrieve information from documents. This boosts response accuracy by grounding AI outputs in reliable and relevant data sources.
The DNS Server allows AI agents to query and manage DNS records. By providing access to DNS configurations, agents can assist in tasks such as domain management, troubleshooting DNS issues, and ensuring proper routing of internet traffic.
The KV (Key-Value) server enables AI agents to interact with Cloudflare’s key-value storage system. This functionality is essential for managing configuration data, feature flags, and other dynamic settings that applications rely on for real-time operations.
Through the Pages server, AI agents can access and manage Cloudflare Pages deployments. This includes capabilities like monitoring deployment statuses, reviewing build logs, and initiating new deployments, thereby streamlining the continuous integration and deployment processes.
The Queues Server provides AI agents with the ability to interact with message queues. This is particularly useful for managing asynchronous tasks, processing background jobs, and ensuring reliable communication between different parts of an application.
AI agents can utilize the R2 Server to access Cloudflare’s object storage solution. This allows for operations such as uploading, retrieving, and managing large datasets or media files, which is crucial for applications that handle significant amounts of unstructured data.
The Turnstile Server enables AI agents to configure and monitor Cloudflare’s CAPTCHA alternative. By managing Turnstile settings, agents can help protect applications from automated abuse while ensuring a seamless user experience.
Finally, the Audit Logs Server facilitates querying of audit logs. This is essential for maintaining compliance and conducting thorough security audits, providing traceability of actions across systems that the AI interacts with.
These servers are accessible to any MCP client supporting remote connections, including platforms like Claude.ai. This development signifies a step towards more seamless integration between AI agents and cloud services, promoting efficiency and automation in various operational tasks.

MMS • Julia Furst Morgado
Article originally posted on InfoQ. Visit InfoQ

Transcript
Olimpiu Pop: Hello, everybody. I’m Olimpiu Pop, an InfoQ editor. Today, we have Julia, who spoke about bringing light into chaos at KubeCon. We were curious to hear more about it. So, Julia, please introduce yourself.
Julia Morgado: Yes, sure. Thank you for having me, it’s a pleasure. As you said, my name is Julia, and I currently work as a global technologist on the product strategy team at Veeam. And my background is non-traditional; I worked in law. I’m originally from Brazil, worked in law, then business, and then I found technology, and I transitioned into tech. Nowadays, I work a lot on helping explain tech and break down complex concepts, talk more about the business side of tech, and focus a lot on Cloud Native technologies and data protection strategies.
So, I work with customers and partners to design solutions for resiliency, disaster recovery, and Cloud Native infrastructures. I’m also a CNCF ambassador, an AWS container hero, and an ambassador for other programs. I organise events in New York City, so the KCD, Kubernetes Community Day, the AWS Community Day and a monthly meetup that is part of the CNCF. So I’m very involved with the Cloud Native community. And fun fact, I speak four languages, so I speak English, obviously, Portuguese, French and Spanish.
Olimpiu Pop: That’s impressive. Well, today we’ll keep it to English, even though I’ll be happy to exercise the four words I know in Spanish and Portuguese, but let’s keep it to English.
Okay. So what was surprising this year at KubeCon was that this was my fourth European KubeCon, and for me, what was unexpected was that it was the first time the discussions were more high-level. So we heard in the keynotes, people talking about how the platform and infrastructure teams can influence the user experience. And I think that would be the optic that I will try to use today in our discussion. You mentioned chaos, and obviously if your infrastructure goes down, that would be chaos among other stuff, and everybody will just run left and right. Let’s start by describing again what was the scenario because you mentioned edge and you mentioned shopping experience, if I remember correctly. Because edge is so broad, let’s narrow it down and understand the devices on the edge to better understand how that is framed.
How mini Kubernetes clusters on the edge can help avoid chaos [03:14]
Julia Morgado: Yes, so the talk I gave was called, Chaos to Control: Kubernetes Resiliency at the edge. And it was recorded, probably the recording will be available soon. However, the scenario we shared at KubeCon was from a global retail customer with over 500 edge locations. Each store is running Kubernetes locally, essentially mini clusters at the edge. And you can think of edge computing as having mini data centres in each store instead of sending everything to a prominent central location. And each store was processing right there, restocking alerts of when inventory was running low, personalised promotions based on customers’ data, all the operations, so point of sales, everything.
But with edge come many challenges, it’s not like running on the cloud on-prem. There are constraints like resource constraints. Devices running in Kubernetes at the edge, are usually lightweight, so they have less CPU, RAM and storage. There are network issues because you’re not always connected so that the source can lose connectivity any time. So everything has to work even without the internet. There are a lot of security risks, which is what we focused on at the talk, because the more edge devices you have, the more doors you leave open for attackers, and that was the case.
So the retail customer was hit by a ransomware attack. It started with phishing email, which usually is what we see. Someone clicks on an email, and then it gets access to the whole system and encrypts the system, and many things happen. And we went over a little bit, everything spread through the clusters, and when that happens, usually traditional backup solutions and traditional things that we like to say, keep your system resilient, they don’t work for edge locations. Because usually, like I mentioned, you rely on a centralised infrastructure, and with edge locations, you don’t have that centralized failover like with traditional data centres. Also, you are in a disconnected environment, so you can’t have that fast and local restore. So it’s very complicated and you need a backup solution specialized for that. So we went over backup solutions, yeah-
Olimpiu Pop: Let me stop you a bit to consolidate what you had. You’re very enthusiastic about this. So that means that everything that you have as a system looks like a spider web. Each of the shops is its own, let’s put it like that, box that has everything that theoretically needs to run. And at points, it probably connects to the centre to get more data or to get updates.
Can you share how the information kept flowing? At points, I might imagine that you need to get information from the main repository or something like that. Can you share a bit about how that works?
Julia Morgado: Yes, so it’s connected to the cloud and a local data center, but the connectivity is intermittent. It only connects to get the updates, but it’s not always connected. That’s one of the issues with edge locations.
Olimpiu Pop: Okay, well, that’s mainly the definition of it, but this is a more different aspects. And you touch on very interesting aspects, because more than the traditional thing where you’ll have to worry only about the connectivity and getting the information upright and so on, so forth. You are dealing also with, probably personnel that has less digital literacy. Because I would expect that people that are working in a supermarket are not exactly digitally literate, so that’s probably why the door is open to other stuff.
Okay. So, for me, it’s impressive to have the whole system restarted in about 10 minutes. How far along was the system affected? Was it isolated to one shop, or were a couple of shops affected?
Julia Morgado: No, a couple, so several. I don’t know the exact number to be precise, but several shops were affected and it was spreading fast, but then we were able to contain it. And because it’s a huge process and the talk at KubeCon was focused on the recovery part, the backup and recovery and how to build a more resilient environment. However, disaster response is another aspect of what happened. When a ransomware hits, what do you have to do? Do you have an incident response plan? So several shops were impacted, but I don’t know the exact number.
Olimpiu Pop: That’s not that important. How did you handle it? I mean, how do you prepare for such a thing? Because I’m sure that these things were prepared in advance, the system was thought to be recoverable in a decent way. So, how should I start doing that if I’m at this point?
Julia Morgado: So actually, we were brought in after the incident happened. They were using other things before. And what we did was build a more resilient environment for them and with that we used some open source tools, part of the CNCF, and some non-open source tools as well. But we focused on backup and recovery solutions, also, S3 compatible object storage for that. And if I can mention names. So they started using Kasten by Veeam, which is the data management platform designed specifically for Kubernetes and edge locations as well, for backup and restore and disaster recovery tasks. And Canister, which is a project from the CNCF, is an open-source framework that allows you to define custom data management tasks through blueprints. So you just write YAML files that know how to handle the application, like if you need to flush a database before a backup, or if you need to run custom logic during a restore. And they work with several databases, several applications, and that helps with that resiliency.
How to prepare for service disruption [10:12]
Olimpiu Pop: Okay. YAML is quite a known language among the Cloud Native Foundation and its users. So what should I have? How should I think about it from an overview? Should I think about frequency? Should I think about particular tables that they want to target, or how would that work?
Julia Morgado: Yes, you should think about what are the most important applications that you have to backup. Ideally, you should backup everything, but also, you need to think about are they stateful, are they stateless? You need to back up stateful applications. This is a common controversy in the Cloud Native space. We are seeing stateful applications on Kubernetes and they need to be backed up. And frequency is something important, but you also have incremental backups, that’s something that you can do. So instead of backing up everything every time, which can be slow and resource heavy, you only backup what’s changed since the last snapshot. So this speeds up the backup window, reduces the storage needs, and it’s perfect for bandwidth-constrained edge locations. So this is something that they implemented as well with Kasten by Veeam.
Olimpiu Pop: Okay. So let’s assume that we have a solution that does that for us, it’s the time shuttle that moves us left and depending on what we need. How it’ll happen? I mean, as you mentioned, it’s recording only snapshots. If I need, I don’t know, I’m losing the whole database, that means that I will have to apply multiple snapshots. I suppose that one is done automatically anyway.
Julia Morgado: No. So first you do a full image backup, so it’s not just snapshots. You have the entire application level backup, and then with the incremental backup, you do only snapshots. But you have a whole backup of your infrastructure, your application, and then you can recover from that. So you have these two types, and the incremental one is only the changes, so you don’t have to do a whole image level backup every week, let’s say. You can just do the snapshots, if something changes, you have it there. But when you need to do a restore, you still have the full image level backup that you can restore from. So you have several options, yes.
Olimpiu Pop: Okay. So that means that we need to take the things separately. We have stateful systems, and then based on those, we’re just ensuring that we have the data. The stateless systems, while they’re doing computation and probably they’re relying on stateful data, so they’re just pulling data out of that and that’s mainly it. What else? What else should we bear in mind?
Julia Morgado: So, like I mentioned, the storage. Where are you going to send that data to? So usually people, we would see in the past, file system, et cetera, but now we’re seeing a lot of object storage, so you send that to the cloud. And it’s great because it’s scalable, so it grows with your data automatically. It’s off-site, so you can keep them safe in case one of the locations is hit. Usually you store it in the cloud, so all these big providers have their own object storage that is very powerful. You can make it immutable, so for a ransomware attacks, or even accidental deletions, those happen a lot. Like you said, people are not very digital literate, what’s the expression that you mentioned?
Olimpiu Pop: Yes, something like that.
Julia Morgado: Yes. There are a lot of accidental deletions, but if you make that data immutable, no one, not even the admin, can change it, encrypt it in case of a malicious actor, or delete it. And it’s very cost-effective because you pay as you go.
Use zero-trust and immutable data to reduce disruption’s blast radius [14:25]
Olimpiu Pop: Let me see if I can translate these things for myself. So what you’re saying is there are two different things. One of them, whenever we are building the system, we should use, as much as possible, immutable data, because that allows us to be safe and not alter something that’s already existing. And then to put another degree of isolation, like probably zero trust, where you’re just making sure that always you have to check it and then that will limit the blast radius.
Julia Morgado: Yes. And part of the zero trust, I would say also, only people that need access, or you should limit the amount of permissions that people have to perform a backup, to be able to manage the infrastructure. Because the more permissions people have, the more accidents can happen. And this is part also of zero trust, etc. You can do that with RBAC, and it’s a very famous principle in the Cloud Native space.
Olimpiu Pop: Because we discussed that, I was happily surprised by the Cloud Native Foundation’s keynotes and the level of the talks. Everybody’s talking about the user experience. How was it felt on the user side? I mean, in 10 minutes, they can have a coffee or two if you are really nervous, but theoretically, things should have happened quite fast.
Julia Morgado: Yes. You mean the recovery?
Olimpiu Pop: Yes, the recovery. So now, obviously, during the backup phase, users are not affected, they don’t know that’s happening. It’s behind the scenes, it’s happening. But obviously the point when you have a problem with the system, you’ll just have probably wrong data if the system is not fully affected. Or if, as you mentioned, the system was encrypted, most probably the guys had more problems, they couldn’t work, they couldn’t use it. So if I would be a cashier or whatever, something operator for the warehouse, what would be my experience during, or the ideal experience of recovering from a failure?
Julia Morgado: So like you said, ideally, the user, not the backup admins or the technical people, the users that are just dealing at each location, they don’t really see any disruption. That’s the perfect recovery scenario. And it means your edge location, your environment, is pretty resilient and has a good backup and recovery plan. But for that, you need some things. So I didn’t even touch on that, but everything is automated. So not only is the recovery fast, but it’s all automated.
So something happened, it already triggers the restore and all the policies are enforced. Also, everything should be tested. So if there is a disaster scenario and you tested it before, you’re going to see, you can recover in less than 10 minutes and then the user won’t even have to deal with any downtime. That’s the goal. Because even five minutes of your system not working, like you said, cashiers at supermarkets, if the system is not working, it means hundreds of money lost into sales et cetera. So if you have everything automated, tested prior to anything happening, your user won’t face any downtime. They will have a smooth experience.
Olimpiu Pop: Okay. So that means that, more than just preparing the system, we need to prepare the users. So probably doing something like drills, different type of scenarios where you’re just trying to cover as much as possible. Okay, that’s a good idea.
Julia Morgado: But when you say users, users is mostly, I mean, technical people, the infrastructure engineers, everyone that’s handling those systems. The user, like we said, the cashier, there isn’t much that they can do when something like that happens. They can go and open a ticket or something, but it’s not in their hands to recover the system. And that’s a big problem at edge locations, because they don’t have, usually, IT personnel in each store. So it usually takes even more time. But if you have something that’s automated and tested and has, for example, GitOps integrated, then it’s going to be much faster. And the cashier or other users, they won’t even experience anything, they won’t feel any disruption.
Olimpiu Pop : So that means that each store individually, or each edge location individually, had its backup mechanism locally.
Julia Morgado: Yes. So each cluster can handle its own backup and restore without needing a central control plane.
Olimpiu Pop: Okay. And that means that these backups are stored in a isolated location or they are in an air-gapped environment, given that you mentioned that-
Julia Morgado: Object storage, yes.
Olimpiu Pop: Good. And do you have any kind of off-site storage?
Julia Morgado: Yes. So at Veeam, we talk a lot about the 3-2-1-1-0 backup rule. I don’t know if you’ve heard of it. But usually you need three different copies of the data in two different type of medias. One of them should be off-site, in another location, just in case something happens with your production copy. And one of these copies should be offline, air-gapped or immutable, which is what I meant. No one can tamper it, encrypt it, delete it. And then the 0 at the end, is for zero errors. So you should be always testing it and make sure that there are no errors after the backup recoverability verification. So it’s an easy rule to remember, 3-2-1-1-0. And if you have that, you are probably in a great place, you have a very resilient system.
Exercise for outages [20:41]
Olimpiu Pop: Okay. That’s good to know. And how often should you have drills? Is it related to the size of the data? What will be another choreography rule?
Julia Morgado: Yes, so it depends on the RTO and RPO. If it’s some type of data that is extremely critical, you should have drills often. Everyone, all personnel should be able to know, oh, in case of anything happens, who’s going to be the point of contact, who will deal with restore operations? You should have all of that documented, because when things happen, people get, how can I explain? Like it’s chaos, like the title of the talk and no one knows what to do. There is also a lot of blaming, “Oh, they should have done that. They didn’t do that”. So when you have everything documented, it’s easier to say, “Yes, let’s do one, two, and three. Person A is going to do one, person B is supposed to do two”. If someone is not on call or they are traveling on vacation, you know who to contact if needed. So everything, this is all part of the incident response plan as well, and it should be tested regularly.
Olimpiu Pop: Okay, that makes sense. So that’s very enlightening, thank you for that. But during KubeCon, there were a lot of things that were spoken. Any takeaways that you would like to implement moving forward for other potential scenarios?
Julia Morgado: Yes. So, still talking a little about resiliency, that it’s the topic of the podcast and also my talk. It’s mostly, resiliency is not optional anymore. So everyone’s talking about GitOps, we’re talking about GitOps, observability, AI, ML, but at the end of the day, if your cluster crashes and your data isn’t safe, then none of that matters. And there are a lot of threats like ransomware and especially at edge locations, which is so fragile, resiliency must be built in.
And so also security and backup are being seen as part of the same ecosystem now and not separate concerns. Security, I’m sure you saw that at KubeCon, is always a big thing. So this time and at the last one, North America, I saw that as well, it’s always a core focus. And now they’re integrating backup into that, which I think is very important, data is the livelihood of any business. But like you mentioned, I saw that they emphasized the importance of integrating security in each layer of the Cloud Native stack, with particular attention to zero trust principles. And also, they talked a lot about supply chain, which I think is also a very important topic, so security in the supply chain. I also saw, not that related to resiliency anymore, observability was also a big thing at KubeCon. So ensuring and having a strong emphasis on observability to meet compliance requirements, such as, there are some outlined at the EU Cyber Resiliency Act, they mentioned that at one of the keynotes, if I’m not mistaken.
Olimpiu Pop: Yes. It was Friday.
Julia Morgado: Yes, exactly. So there was a lot going on at KubeCon. I’m still digesting everything.
Olimpiu Pop: So to conclude, what you’re saying is that, now, things are happening in real time, more or less, so observability is the mechanism through which, if we implement it, we’ll always know what happens and know exactly where we are. And then more than everything else, that is important, so high availability data is even more than that, because it means that you have servers available, but if you don’t have the proper data, your system is not working as expected. And last but not least, even though the things change lately, the Cyber Resilience Act will just ask you to be more aware of what you’re doing on the supply chain side. So those things have to be boiled down into the business continuity plan of your company as well.
Okay. That was a interesting deep dive.
Julia Morgado: Yes, thank you for having me. It was a pleasure.
Olimpiu Pop: Same here.
Julia Morgado: I love talking about Cloud Native things, KubeCon experiences. I always encourage and recommend everyone to attend at least one KubeCon if they can. I know not everyone is able to, but for those that don’t know, CNCF also provides scholarships for KubeCons. I think you have to apply with at least two months in advance, but you should check out their website. So there are scholarships, usually also if you’ve been laid off, you can get a free ticket to attend a KubeCon. So there are a lot of opportunities.
And just for those that are more interested in Cloud Native technologies in general, I would say just start, get involved. Go on the CNCF Slack channel, there are several channels for each of the open source projects or there are like first-time contributors and you can just say, “Hey, I’m new here, but I want to get more involved”. There are so many ways people can learn and get involved in that community, and I think it’s a very welcoming community. I don’t know about you, but I always love going to KubeCons and meeting people and learning more about technology.
Olimpiu Pop: Yes, it’s, as mentioned and discussed with several people, I just went there without any plans and I always met somebody, old friend or new friend, and that was quite nice. So yes, the Kubernetes is more than just a technology, is a community and everything else that’s in its ecosystem.
Okay. Obrigado, Julia.
.
From this page you also have access to our recorded show notes. They all have clickable links that will take you directly to that part of the audio.

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Lazard Asset Management LLC cut its holdings in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 100.0% during the 4th quarter, according to its most recent disclosure with the Securities and Exchange Commission. The firm owned 384 shares of the company’s stock after selling 42,557,620 shares during the quarter. Lazard Asset Management LLC’s holdings in MongoDB were worth $88,000 as of its most recent SEC filing.
Several other institutional investors have also made changes to their positions in MDB. Union Bancaire Privee UBP SA bought a new position in MongoDB in the 4th quarter valued at about $3,515,000. HighTower Advisors LLC lifted its position in shares of MongoDB by 2.0% during the 4th quarter. HighTower Advisors LLC now owns 18,773 shares of the company’s stock worth $4,371,000 after buying an additional 372 shares during the last quarter. Nisa Investment Advisors LLC boosted its stake in MongoDB by 428.0% in the fourth quarter. Nisa Investment Advisors LLC now owns 5,755 shares of the company’s stock valued at $1,340,000 after buying an additional 4,665 shares in the last quarter. Jones Financial Companies Lllp grew its position in MongoDB by 68.0% in the fourth quarter. Jones Financial Companies Lllp now owns 1,020 shares of the company’s stock valued at $237,000 after acquiring an additional 413 shares during the last quarter. Finally, Smartleaf Asset Management LLC raised its stake in MongoDB by 56.8% during the fourth quarter. Smartleaf Asset Management LLC now owns 370 shares of the company’s stock worth $87,000 after acquiring an additional 134 shares in the last quarter. 89.29% of the stock is currently owned by institutional investors.
MongoDB Price Performance
Shares of MDB opened at $185.85 on Monday. The stock has a 50-day moving average of $174.70 and a 200-day moving average of $235.57. The company has a market cap of $15.09 billion, a PE ratio of -67.83 and a beta of 1.49. MongoDB, Inc. has a one year low of $140.78 and a one year high of $370.00.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings results on Wednesday, March 5th. The company reported $0.19 EPS for the quarter, missing analysts’ consensus estimates of $0.64 by ($0.45). MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. The business had revenue of $548.40 million for the quarter, compared to the consensus estimate of $519.65 million. During the same quarter last year, the firm posted $0.86 EPS. Analysts expect that MongoDB, Inc. will post -1.78 EPS for the current fiscal year.
Insider Buying and Selling at MongoDB
In related news, CEO Dev Ittycheria sold 8,335 shares of the stock in a transaction dated Wednesday, February 26th. The shares were sold at an average price of $267.48, for a total transaction of $2,229,445.80. Following the completion of the transaction, the chief executive officer now owns 217,294 shares in the company, valued at approximately $58,121,799.12. This represents a 3.69% decrease in their ownership of the stock. The transaction was disclosed in a filing with the Securities & Exchange Commission, which can be accessed through this link. Also, CAO Thomas Bull sold 301 shares of the firm’s stock in a transaction dated Wednesday, April 2nd. The stock was sold at an average price of $173.25, for a total transaction of $52,148.25. Following the sale, the chief accounting officer now owns 14,598 shares of the company’s stock, valued at $2,529,103.50. This trade represents a 2.02% decrease in their position. The disclosure for this sale can be found here. In the last three months, insiders have sold 33,538 shares of company stock worth $6,889,905. Corporate insiders own 3.60% of the company’s stock.
Analyst Ratings Changes
Several equities research analysts recently issued reports on the stock. Daiwa Capital Markets started coverage on shares of MongoDB in a report on Tuesday, April 1st. They set an “outperform” rating and a $202.00 price target on the stock. Needham & Company LLC lowered their price target on shares of MongoDB from $415.00 to $270.00 and set a “buy” rating for the company in a report on Thursday, March 6th. Mizuho dropped their price target on MongoDB from $250.00 to $190.00 and set a “neutral” rating for the company in a research note on Tuesday, April 15th. Barclays reduced their price objective on MongoDB from $280.00 to $252.00 and set an “overweight” rating on the stock in a research report on Friday, May 16th. Finally, Redburn Atlantic upgraded MongoDB from a “sell” rating to a “neutral” rating and set a $170.00 target price for the company in a research report on Thursday, April 17th. Nine analysts have rated the stock with a hold rating, twenty-three have given a buy rating and one has given a strong buy rating to the stock. Based on data from MarketBeat, the company currently has a consensus rating of “Moderate Buy” and an average price target of $288.91.
Read Our Latest Analysis on MDB
About MongoDB
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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Warm Springs Advisors Inc. Makes New $1.69 Million Investment in MongoDB, Inc. (NASDAQ:MDB)

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Warm Springs Advisors Inc. purchased a new stake in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) during the 4th quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The fund purchased 7,263 shares of the company’s stock, valued at approximately $1,691,000. MongoDB makes up approximately 1.6% of Warm Springs Advisors Inc.’s portfolio, making the stock its 20th largest position.
A number of other hedge funds have also modified their holdings of MDB. Strategic Investment Solutions Inc. IL acquired a new stake in MongoDB during the fourth quarter valued at $29,000. NCP Inc. acquired a new stake in shares of MongoDB during the 4th quarter valued at about $35,000. Coppell Advisory Solutions LLC lifted its holdings in shares of MongoDB by 364.0% during the 4th quarter. Coppell Advisory Solutions LLC now owns 232 shares of the company’s stock valued at $54,000 after buying an additional 182 shares during the last quarter. Smartleaf Asset Management LLC grew its stake 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 buying an additional 134 shares in the last quarter. Finally, Manchester Capital Management LLC increased its holdings in MongoDB by 57.4% in the fourth quarter. Manchester Capital Management LLC now owns 384 shares of the company’s stock worth $89,000 after buying an additional 140 shares during the last quarter. 89.29% of the stock is owned by institutional investors and hedge funds.
MongoDB Stock Down 1.4%
MDB stock opened at $185.85 on Friday. MongoDB, Inc. has a twelve month low of $140.78 and a twelve month high of $370.00. The company has a market cap of $15.09 billion, a PE ratio of -67.83 and a beta of 1.49. The business’s 50-day simple moving average is $174.75 and its 200 day simple moving average is $236.90.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings data on Wednesday, March 5th. The company reported $0.19 EPS for the quarter, missing analysts’ consensus estimates of $0.64 by ($0.45). The firm had revenue of $548.40 million during the quarter, compared to the consensus estimate of $519.65 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. During the same quarter in the prior year, the business posted $0.86 EPS. On average, equities research analysts anticipate that MongoDB, Inc. will post -1.78 EPS for the current year.
Insiders Place Their Bets
In other MongoDB news, CAO Thomas Bull sold 301 shares of the firm’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 trade represents a 2.02% decrease in their ownership of the stock. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is available at this link. Also, insider Cedric Pech sold 1,690 shares of the company’s stock in a transaction that occurred on Wednesday, April 2nd. The shares were sold at an average price of $173.26, for a total value of $292,809.40. Following the completion of the sale, the insider now owns 57,634 shares in the company, valued at approximately $9,985,666.84. This represents a 2.85% decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold 33,538 shares of company stock worth $6,889,905 over the last 90 days. Corporate insiders own 3.60% of the company’s stock.
Analyst Upgrades and Downgrades
MDB has been the subject of several recent research reports. The Goldman Sachs Group decreased their target price on shares of MongoDB from $390.00 to $335.00 and set a “buy” rating for the company in a research report on Thursday, March 6th. Truist Financial lowered their target price on shares of MongoDB from $300.00 to $275.00 and set a “buy” rating on the stock in a research report on Monday, March 31st. Loop Capital cut MongoDB from a “buy” rating to a “hold” rating and reduced their price target for the stock from $350.00 to $190.00 in a research report on Tuesday. Canaccord Genuity Group decreased their price target on MongoDB from $385.00 to $320.00 and set a “buy” rating for the company in a research note on Thursday, March 6th. Finally, Wedbush cut their price objective on MongoDB from $360.00 to $300.00 and set an “outperform” rating on the stock in a research note on Thursday, March 6th. Nine investment analysts have rated the stock with a hold rating, twenty-three have issued a buy rating and one has given a strong buy rating to the company. Based on data from MarketBeat, MongoDB has an average rating of “Moderate Buy” and an average target price of $288.91.
View Our Latest Stock Report on MongoDB
MongoDB 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.
See Also
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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MMS • Renato Losio
Article originally posted on InfoQ. Visit InfoQ

Last month, Synadia threatened to pull NATS from the Cloud Native Computing Foundation (CNCF), moving from the Apache 2.0 license to a non-open source license. While the dispute lasted only a few days, with both Synadia and CNCF agreeing that the project remains in the open source ecosystem, the dispute left many concerned about the long-term availability and support of open source projects.
NATS is an open source messaging system that enables secure, high-performance, and scalable communication between distributed systems and services. After developing and maintaining the project under the Apache 2.0 license for many years, and donating it to the CNCF in 2018, Synadia announced last month its plan to withdraw the NATS server from the foundation and adopt the Business Source License (BUSL), a non-open source license. Derek Collison, creator of NATS.io and CEO of Synadia, wrote:
For the NATS ecosystem to flourish, Synadia must also thrive. This clarity has guided our decision-making and planning (…) Synadia’s customers, partners, and the broader NATS ecosystem derive tremendous value from the features and capabilities of the NATS server. Synadia and its predecessor company funded approximately 97% of the NATS server contributions.
While a discussion about the future of the project was taking place in the CNCF TOC repository, the foundation explained why the open source commitments and principles were under threat and disputed the ownership of the NATS trademark, sparking concerns about the future of the popular project. Foundation-backed open source software has traditionally offered greater stability than corporate-owned projects, making NATS’ potential departure from CNCF a significant exception.
After a few days of discussions and updates, Synadia and the CNCF announced on May 1st that they had reached an agreement: Synadia would transfer the NATS trademark registrations to the Linux Foundation, without forking the project, while the CNCF would retain control over the project’s infrastructure and assets. If Synadia chooses to fork the project for a proprietary offering in the future, it will have to do so under a new name.
In the article “OSS: Two Steps Forward, One Step Back,” Stephen O’Grady, principal analyst and cofounder at RedMonk, writes:
The flareup starkly revealed traditional fault lines in the wider open source community around the role of foundations. For many, this situation provided an opportunity not to protest the alleged about face but rather to attack foundations generally and the CNCF specifically for their shortcomings, both perceived and real (…) Vendors that choose to donate projects to foundations do so understanding, or at least should, that donation is a one way door.
Discussing “NATS goes Nuts – Quite Unique Open Source controversy,” Peter Zaitsev, founder of Percona and open source advocate, adds:
There’s a lesson here for the CNCF too. If it wants people to trust the projects it hosts, it needs to make sure situations like this don’t happen. That means locking down all the key assets -like trademarks and licensing rights- before fully accepting a project.
Discussing the future of Synadia and the NATS project after the agreement was reached, Collison explained how Synadia is now considering a commercial distribution that would embed the OSS NATS Server targeted for specific use cases, with the company still providing commercial support for the open source solution. O’Grady concludes:
The NATS storm was a black eye for open source broadly. Between the simmering antagonism towards foundations at scale, the direct attacks on the CNCF specifically and the revelations about NATS’ performance and Synadia’s alleged behaviors, it was not a great week for open source.
Seven years after joining the CNCF, NATS has yet to achieve “graduated” status and continues to operate under the “incubating” designation, one of the factors that contributed to the dispute.
Azure AI Foundry Agent Service GA Introduces Multi-Agent Orchestration and Open Interoperability

MMS • Steef-Jan Wiggers
Article originally posted on InfoQ. Visit InfoQ
Microsoft recently announced the general availability (GA) of the Azure AI Foundry Agent Service at its annual Build conference, a flexible, use-case-agnostic platform for building, deploying, and managing AI agents, designed as microservices (benefiting from modularity and scalability), for a wide range of applications.
The company first introduced the service at Ignite as Azure AI Agent Service, which sits within Azure AI Foundry, allowing developers to create and run an agent using either OpenAI SDKs or Azure AI Foundry SDKs with just a few lines of code. It was later available in public preview in the Azure AI Foundry SDK and the Azure AI Foundry portal. Moreover, with the GA release, the company states that it is introducing several powerful new features and integrations that make it even easier for developers to build and scale their agent solutions.
(Source: Microsoft Learn documentation)
One of the key enhancements in the GA release is the robust support for Multi-Agent Orchestration that coordinates specialized agents to perform structured, long-running tasks. The orchestration capability is built around two core components: first, Connected Agents (preview) enable point-to-point interactions, allowing agents to call upon other specialized agents as tools for task delegation, modular processing, and context-specific workflows where each contributes independently to the solution; and second, Multi-Agent Workflows (preview) offer a structured, stateful orchestration layer that coordinates multiple agents through complex, multi-step processes by handling context management, error recovery, and long-running durability, making them ideal for scenarios requiring agents to maintain context across multiple steps, like customer onboarding or supply chain automation.
The Foundry Agent Service integrates directly with the converged runtime for Semantic Kernel and AutoGen to support advanced multi-agent orchestration.
Recognizing that AI agents thrive within interconnected ecosystems, the GA release of Azure AI Foundry Agent Service strongly emphasizes open and interoperable tools. Developers can now leverage the extensive library of over 1,400 Azure Logic Apps workflows as tools for their agents, enabling seamless automation of complex business processes and even triggering agents directly from Logic Apps.
Furthermore, the platform significantly expands its knowledge integration capabilities by adding SharePoint as a first-party tool alongside Microsoft Fabric and Bing Search, providing agents with richer, context-aware insights. The ecosystem is further enriched through access to a growing catalog of partner tools from various domains and a library of reusable agent code samples from Microsoft and the community, accelerating development and expanding agent capabilities.
A key aspect of this open approach is the introduction of the Agent2Agent (A2A) API head, which enables interoperability with other agent platforms – allowing open-source orchestrators with A2A connectors to utilize Foundry Agent Service agents without requiring custom integrations, facilitating multi-turn conversations between diverse agents. Moreover, the commitment to open protocols extends to multi-cloud scenarios, allowing developers to connect Foundry agents with agents from platforms like SAP Joule and Google Vertex AI. Furthermore, Azure AI Foundry Agent Service integrates with popular agent orchestration frameworks like Crew AI, LangGraph, and LlamaIndex.
In addition, the GA release of Azure AI Foundry Agent Service incorporates robust features for evaluation, monitoring (AgentOps), governance, and safety. Built-in evaluation tools allow developers to assess agent performance across key metrics like accuracy and efficiency. At the same time, integrated tracing provides detailed insights into agent processing workflows for optimization.
Daniel Christian, a Microsoft MVP and certified trainer, emphasized this open approach on X:
Models, Models, everywhere, but they are all available to connect with the Azure AI Foundry Agent Service.
In addition, Jiadong Chen, a Cloud architect and Microsoft MVP, tweeted:
AI agents are quietly transforming industries. With Azure AI Foundry and Azure AI Agent Service, businesses deploy LLM-powered multi-agent systems to handle everything from real-time analytics to customer interactions. Picture a retail chain using AI agents to predict inventory shortages or a hospital automating patient triage — all while Azure’s scalable infrastructure keeps data secure. The result? Productivity spikes, costs plummet, and innovation accelerates.
Lastly, Microsoft envisions the Azure AI Foundry Agent Service as a dynamic foundation for intelligent agent ecosystems, with ongoing efforts focused on unifying the Semantic Kernel and AutoGen SDKs, integrating containerized agents for streamlined orchestration, and broadening support for an even wider array of external agents.

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MongoDB, Inc. (NASDAQ:MDB – Get Free Report) has been given a consensus rating of “Moderate Buy” by the thirty-three brokerages that are presently covering the company, MarketBeat.com reports. Nine research analysts have rated the stock with a hold rating, twenty-three have assigned a buy rating and one has assigned a strong buy rating to the company. The average 1 year price objective among brokers that have updated their coverage on the stock in the last year is $288.91.
A number of equities research analysts have weighed in on MDB shares. Monness Crespi & Hardt upgraded shares of MongoDB from a “sell” rating to a “neutral” rating in a research note on Monday, March 3rd. Rosenblatt Securities reaffirmed a “buy” rating and set a $350.00 price objective on shares of MongoDB in a report on Tuesday, March 4th. Scotiabank reaffirmed a “sector perform” rating and set a $160.00 price objective (down from $240.00) on shares of MongoDB in a report on Friday, April 25th. Wedbush decreased their price objective on MongoDB from $360.00 to $300.00 and set an “outperform” rating on the stock in a report on Thursday, March 6th. Finally, Robert W. Baird decreased their price objective on MongoDB from $390.00 to $300.00 and set an “outperform” rating on the stock in a report on Thursday, March 6th.
Get Our Latest Analysis on MongoDB
MongoDB Trading Down 1.4%
Shares of MDB stock opened at $185.85 on Friday. MongoDB has a 1 year low of $140.78 and a 1 year high of $370.00. The firm has a market capitalization of $15.09 billion, a P/E ratio of -67.83 and a beta of 1.49. The firm’s fifty day simple moving average is $174.70 and its 200 day simple moving average is $235.98.
MongoDB (NASDAQ:MDB – Get Free Report) last released its earnings results on Wednesday, March 5th. The company reported $0.19 earnings per share for the quarter, missing analysts’ consensus estimates of $0.64 by ($0.45). MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The firm had revenue of $548.40 million for the quarter, compared to analyst estimates of $519.65 million. During the same period last year, the business earned $0.86 earnings per share. Equities research analysts anticipate that MongoDB will post -1.78 EPS for the current fiscal year.
Insider Activity
In related news, Director Dwight A. Merriman sold 3,000 shares of the stock in a transaction that occurred on Monday, March 3rd. The shares were sold at an average price of $270.63, for a total value of $811,890.00. Following the sale, the director now directly owns 1,109,006 shares in the company, valued at $300,130,293.78. This trade represents a 0.27% decrease in their position. The sale was disclosed in a legal filing with the SEC, which is available at this link. Also, CEO Dev Ittycheria sold 18,512 shares of the stock in a transaction that occurred on Wednesday, April 2nd. The shares were sold at an average price of $173.26, for a total transaction of $3,207,389.12. Following the completion of the sale, the chief executive officer now owns 268,948 shares in the company, valued at $46,597,930.48. This represents a 6.44% decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold a total of 33,538 shares of company stock valued at $6,889,905 in the last 90 days. 3.60% of the stock is owned by company insiders.
Institutional Trading of MongoDB
Hedge funds have recently modified their holdings of the company. B.O.S.S. Retirement Advisors LLC acquired a new stake in MongoDB during the 4th quarter worth $606,000. Union Bancaire Privee UBP SA acquired a new stake in MongoDB during the 4th quarter worth $3,515,000. HighTower Advisors LLC raised its stake in MongoDB by 2.0% during the 4th quarter. HighTower Advisors LLC now owns 18,773 shares of the company’s stock worth $4,371,000 after buying an additional 372 shares during the period. Nisa Investment Advisors LLC raised its stake in MongoDB by 428.0% during the 4th quarter. Nisa Investment Advisors LLC now owns 5,755 shares of the company’s stock worth $1,340,000 after buying an additional 4,665 shares during the period. Finally, Jones Financial Companies Lllp raised its stake in MongoDB by 68.0% during the 4th quarter. Jones Financial Companies Lllp now owns 1,020 shares of the company’s stock worth $237,000 after buying an additional 413 shares during the period. 89.29% of the stock is currently owned by institutional investors and hedge funds.
About MongoDB
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
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.
Before you consider MongoDB, you’ll want to hear this.
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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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Spring News Roundup: GA Releases of Spring Boot, Security, Auth Server, Integration, AI

MMS • Michael Redlich
Article originally posted on InfoQ. Visit InfoQ

There was a flurry of activity in the Spring ecosystem during the week of May 19th, 2025, highlighting GA releases of Spring Boot, Spring Security, Spring Authorization Server, Spring Session, Spring Integration, Spring for GraphQL, Spring AI and Spring Web Services.
Spring Boot
The release of Spring Boot 3.5.0 delivers bug fixes, improvements in documentation, dependency upgrades and new features such as: new annotations, @ServletRegistration
and @FilterRegistration
, to register instances of the Jakarta Servlet Servlet
and Filter
interfaces, respectively; and the ability to customize structured logging stack traces. More details on this release may be found in the release notes and this InfoQ news story.
Spring Security
The release of Spring Security 6.5.0 ships with bug fixes, dependency upgrades and new features such as: an implementation of the OAuth 2.0 Demonstrating Proof-of-Possession (DPoP) specification; and support for Micrometer context propagation to propagate authorization between an instance of the ThreadLocalAccessor
interface and reactive operations. Further details on this release may be found in the release notes and what’s new page.
Similarly, the release of Spring Security 6.4.6 features a resolution to CVE-2025-41232, a vulnerability where Spring Security Aspects, under certain conditions, may not correctly locate method security annotations on private methods potentially leading to an authorization bypass. More details on this release may be found in the release notes.
Spring Authorization Server
The release of Spring Authorization Server 1.5.0 delivers bug fixes, dependency upgrades and new features such as: an implementation of the OAuth 2.0 Pushed Authorization Requests (PAR) specification and the aforementioned OAuth 2.0 Demonstrating Proof of Possession (DPoP) specification; and a replacement of the deprecated Spring Boot @MockBean
annotation with the preferred Spring Framework @MockitoBean
annotation where applicable. Further details on this release may be found in the release notes.
Spring for GraphQL
The release of Spring for GraphQL 1.4.0 ships with dependency upgrades and a new feature that adds a name
field, of type String
and annotated with @Nullable
, to the DataLoader
class for improved registration of data loaders. More details on this release may be found in the release notes.
Spring Session
The release of Spring Session 3.5.0 features many dependency upgrades and a resolution to a race condition and ClassCastException
during integration testing using an instance of the SessionEventRegistry
class due to the class assuming there is only one single event type for each session ID. Further details on this release may be found in the release notes.
Spring Integration
The release of Spring Integration 6.5.0 delivers bug fixes, dependency upgrades and new features such as: a new AbstractRecentFileListFilter
class, an implementation of the FileListFilter
interface, that accepts only recent files based on a provided age; and implementations of the Spring Framework MessageChannel
interface now throw a MessageDispatchingException
when an application context has not yet started or stopped at runtime. More details on this release may be found in the release notes and what’s new page.
Spring AI
The release of Spring AI 1.0.0 features: a ChatClient
interface that supports 20 AI models with multi-modal inputs and an output with a structured response; an Advisors API that serves as an interceptor chain for developers to modify incoming prompts by injecting retrieval data and conversation memory; and full support for the Model Context Protocol. Further details on this release may be found in the release notes and this InfoQ news story. Developers can also learn how to create their first Spring AI 1.0 application in this user guide.
Spring Web Services
The release of Spring Web Services 4.1.0 delivers bug fixes, dependency upgrades and new features such as: support for configuring arbitrary options for Apache Web Services Security for Java (WSS4J) via the Wss4jSecurityInterceptor
class; and the ability to create custom implementations of the MethodArgumentResolver
and MethodReturnValueHandler
interfaces. More details on this release may be found in the release notes.