With Aiven’s fully managed Apache Flink® service, you can leverage the power and flexibility of real time data processing.

It only feels like yesterday that I was writing about the new features in Avantra 23.0, but today I’m pleased to announce that Avantra 23.1, our first feature update of Avantra 23, is ready for download. We’ve been working on a number of different areas that I’ll try to summarize here, but I apologize for the length of this post! For those who want a complete list of changes, check out our public release notes.

Hey folks! We are super excited to announce that our schedules feature has gone through a bit of an update. Well, more than a bit 🙂. We’ve gone through the feature with a fine-toothed comb and introduced a bunch of UI and functional improvements which we hope will help you achieve one thing: set up, edit and manage your on-call schedules at scale in a matter of minutes (Yes, that was three things but it was tough to condense it to ONE thing)

If you're using Oban for managing background jobs in your Elixir application and want to gain a deeper data-driven understanding of how they perform, you've come to the right place. AppSignal for Elixir now automatically instruments Oban, meaning you can now monitor the performance of your background jobs through an AppSignal Magic Dashboard, which gives you detailed information on queue times, processing times, and notifies you of any exceptions.

In our 2022 year in review, we recapped the six highly-requested features that were implemented over the course of the year. We also acknowledged the five highly-requested features that “got away” – meaning we hadn’t gotten to them… yet! Well, GitKraken Client 9.1 is here, we’re happy to share that two of those enhancements are now accounted for, along with other user-requested features and improvements that represent input from over 1,000 users.

Honeycomb recently announced the launch of Service Map, a new feature that gives users the ability to quickly unravel and make sense of the interconnectivity between services in highly complex and intricate environments.

We completely reworked our custom-made, time series database (dbengine), resulting in stunning improvements to performance, scalability, and stability, while at the same time significantly reducing the agent memory requirements. On production-grade hardware (e.g. 48 threads, 32GB ram) Netdata Agent Parents can easily collect 2 million points/second while servicing data queries for 10 million points / second, and running ML training and Health querying 1 million points / second each!

When security incidents happen, it’s crucial for software providers and users alike to take swift and effective action. In response to our recent security incident, we witnessed firsthand how an open and collaborative effort between our customers, technology partners, and engineering teams helped to contain the threat and mitigate risk of unauthorized access to customer systems.

Our latest open-source project, Helm-Dashboard, just crossed 3K stars on GitHub (and hundreds of daily active users), only three months since it was released! We thought this milestone was a good chance to take a look back at our journey, announce the release of v. 1.0.0, discuss future plans, and, most importantly, give our utmost thanks to the amazing contributors and Kommunity members that made it all possible! What capabilities would you like to see next in Helm-Dashbaord?

In this release, we have addressed a number of bugs that were impacting the performance and functionality of the system. In the Kernel, we have resolved an issue where the broadcast was not being stopped after the first user acknowledged it. Additionally, we have fixed a crash that was occurring when loading component infos and an error log that was being generated when the Kernel started in suspended mode.