Operations | Monitoring | ITSM | DevOps | Cloud

Writing code is moving from the good old IDE into the realm of autonomous AI agents. One example of this is OpenAI, which has been developing internally with 0 lines of manually written code. You can read about their workflow in their engineering blog: Harness engineering: leveraging Codex in an agent-first world. For me, the main takeaway of OpenAI’s article is how AI has rewritten the constraints equation.

At VictoriaMetrics, we built vlagent as a high-performance log collector for VictoriaLogs. To validate its performance and correctness under a real production-like load, we developed a benchmark suite and ran it against 8 popular log collectors. This post covers the methodology, throughput results, resource usage, and delivery correctness. Collectors under the test: We’ve made all benchmark configurations and source code public, so you can reproduce and verify the results independently.

This month, we’re thrilled to see OpenAI using the VictoriaMetrics Stack internally — including VictoriaMetrics, VictoriaLogs, and VictoriaTraces — in their Harness engineering experiment, as shown in their architecture diagram. It’s a great way of combining observability and AI agents.

Last week, members of the VictoriaMetrics team, including myself, spoke at three very different but equally important community events: FOSDEM in Brussels, Cloud Native Days France in Paris, and CfgMgmtCamp in Ghent. Each event drew a different crowd with its own expectations, making them a good way to see where open source observability stands today and how VictoriaMetrics is adapting to real-world needs. The talks we gave were snapshots of the problems we are actively working on.

Yes, you got it right: VictoriaLogs is now Generally Available in VictoriaMetrics Cloud! We believe that this is a huge milestone in our journey to deliver what our users are expecting from us: a complete, managed observability solution. If you’ve been following our quarterly updates, you know we’ve been after this launch for a while. In our latest update a few weeks ago we already announced that we were ready and today we’re making it official.

It’s been a while since the last update on “What’s New” series, so I will try and keep it short yet informative. Stay tuned for upcoming content on anomaly detection.