The Q2 2026 vmanomaly update introduces Temporal Envelope, a redesigned UI, faster online-model execution, and an AI-assisted workflow that turns natural-language monitoring goals into tested configurations and alerting rules.
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Two teams run the same stack. One stays calm, one firefights. The difference isn’t the software. It’s knowledge.
The VictoriaMetrics team shipped two core releases with important security fixes. The vmanomaly team shipped two updates with improved scaling and more efficient models. Plus, Tech Talks are back, this time demoing AI-assisted incident troubleshooting.
Tech Talk #13: Mathias runs his house and four pets on Home Assistant, VictoriaMetrics, and vmanomaly. Then the AI picked the wrong model. Watch on demand.
An interactive tour of what’s new in PostgreSQL 19: property graph queries, REPACK, plan advice, temporal updates, and more, with short runnable SQL examples you can edit and run in the browser.
Follow a single metric through its whole life inside VictoriaMetrics: born as a counter in your process, exported over the wire, given an identity and an inverted-index entry, written through an LSM tree, compressed into columnar blocks on disk, read back by a rate() query, downsampled as it ages, and finally deleted when retention runs out.
Go 1.24 replaced the built-in map’s bucket-based runtime with Swiss Tables. This article explains groups, control bytes, H1 and H2, probing, table growth, directories, deletion, load factor, and the experimental split-group layout.
Go’s sync.Map now uses a hash trie. This article builds the implementation from a normal map, then explains lock-free reads, fine-grained writer locking, collisions, retries, deletion, Clear, Range, and the trade-offs against map plus RWMutex.
Open source and commercial marketing often seem at odds, but open source often needs marketing, and open source itself is often good marketing. This blog post explains how open source supports our marketing goals and how we use marketing to support open source growth.
Learn how VictoriaMetrics combines machine learning, MCP, and natural-language workflows to simplify observability with anomaly detection and reduce operational overhead.
The Q2 2026 vmanomaly update introduces Temporal Envelope, a redesigned UI, faster online-model execution, and an AI-assisted workflow that turns natural-language monitoring goals into tested configurations and alerting rules.