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Jordan Bragg discusses using entry-points, breadth-first scanning, and operation tagging to demystify the domain, see where to dive deeper, and uncover what technical debt may exist.

We are talking with Philip Howes about how to get value from your ML model as fast as possible. We will also talk about how to improve your deployed model, and what tools you can use when setting up ML projects. We conclude by discussing how stake holders should be involved, and what makes up a complete ML team.

In a web-based service, a slowdown in request processing can eventually make your service unavailable. Chances are, not all requests need to be processed right away. Some of them just need an acknowledgement of receipt. Have you ever asked yourself: “Would I benefit from asynchronous processing of requests? If so, how would I make such a change in a live, large-scale mission critical system?”

The panelists discuss teamwork from a variety of perspectives, from a traditional office setting to remote-first to a hybrid one, and how to be successful in a productive hybrid team.

At QCon Plus November 2021, Nora Jones, CEO and founder of Jeli, talked about how to build production readiness reviews (PRR) with emphasis on context and psychological safety. Her talk focused on the particulars of a PRR process that relates to incidents.

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InfoQ Homepage News Introducing Helidon Nima Using Virtual Threads to Achieve Simplicity and High Performance

A N M Bazlur Rahman

Under the umbrella of Project Helidon, Oracle introduced the first microservices framework based on virtual threads (JEP 425) called Helidon Níma. It is built from the ground up to achieve an easy-to-use programming model with outstanding performance. The technology preview is now available with the Helidon 4.0.0-ALPHA1 release for those who are interested in evaluating the latest Java technology. However, this is not yet production-ready.

Developers could achieve a certain level of throughput using the regular Helidon framework through Helidon MP or Helidon SE, but if the application needs to be more performant, their only choice is to revert to a reactive-based service. However, it is worth mentioning that writing, maintaining, and debugging reactive-based services is more challenging.

Helidon Nima uses virtual threads to carve out the issue, as blocking is cheap, and we can create millions of them. Thus, this offers a stellar, low-overhead, highly concurrent server while maintaining a blocking thread model. This will allow developers to write simple, debuggable, and maintainable code with less scaffolding. Consider the following example:

Both blocking and reactive code accomplish the same goal; however, the reactive code is more cognitively demanding, has a steeper learning curve, and is less maintainable. This becomes more apparent with a slightly more complicated use case, as stated in the initial blog post written by Tomas Langer, architect at Oracle.

According to Langer, the primary focus of Heldion Níma was performance; therefore, it does produce results, as the following graph demonstrates.

This alpha release supports the following protocols:

Besides that, it supports the following features:

On top of these features, it also uses new Java language features like sealed classes and enhanced switch expressions.

Helidon Níma is a fully open-source framework and part of the Helidon codebase. Although the project Helidon is based on Netty, however, Dmitry Aleksandrov, software developer at Oracle, mentioned in his blog post writing:

The Helidon Níma web server intends to replace Netty in the Helidon ecosystem. It also can be used by other frameworks as an embedded web server component.

Developers who wish to evaluate Helidion Nima can leverage Tomas Langer's initial blog post and the source code hosted on this GitHub repository.

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Code, deploy, and scale Java your way. Microsoft Azure supports your workload with abundant choices, whether you're working on a Java app, app server, or framework. Learn more.

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