Learn how to add observability to AI agents using OpenTelemetry and the VictoriaMetrics Stack. This guide explains how to instrument popular LLM frameworks and visualize metrics, logs, and traces in Grafana.
When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?
Metrics come in different types: counters that only increase, gauges that fluctuate, histograms that show value distributions, and summaries that pre-calculate statistics.
When we ended 2024 with continued growth (300+%) both in terms of open source adoption and enterprise business we thought: We’re going to need some more help in 2025!
FOSDEM (Free and Open Source Software Developers’ European Meeting) is a huge, free, gathering for open-source software enthusiasts that happens every February in Brussels, Belgium. It’s a non-profit event put together by the community, and it’s one of the biggest of its kind. See more in our recap!
Protocol Buffers is faster and smaller than JSON, but the interesting part is understanding why. This article breaks down the encoding techniques that make Protobuf efficient, backed by benchmark results and practical examples
OpenTelemetry, Prometheus 2.x, Prometheus 3.x, and vmagent are put together for comparison in scraping and pushing data to remote storage.
When vmselect asks vmstorage for data, there’s actually quite a bit happening behind the scenes. This article breaks down the process of how vmstorage locates and retrieves your metrics, from finding the right TSIDs to sending back the actual data points.
IndexDB acts as vmstorage’s memory - it remembers which numbers (TSIDs) belong to which metrics, making sure your queries get answered fast. This article walks through how this system works, from the way it organizes data to how it keeps track of millions of timeseries.
Join us for the first stream of our brand new monthly tech talk series, where we’ll dive deep into the world of monitoring and observability.Dive into the world of monitoring and observability in our first monthly tech talk stream.
HTTP/2 solves head-of-line blocking at the application layer by multiplexing multiple streams over a single TCP connection. While HTTP/1.1 requires requests to be processed sequentially, HTTP/2 allows parallel processing through independent streams, each with its own ID. The Go standard library supports HTTP/2 out of the box when using HTTPS, and with some configuration, it can work over plain HTTP too