VictoriaMetrics 2026 Mid Year Roundup
Take a look at what we shipped in the first half of 2026 across VictoriaMetrics: metrics, logs, traces, and cloud,with improvements in performance, scalability, and usability.
Take a look at what we shipped in the first half of 2026 across VictoriaMetrics: metrics, logs, traces, and cloud,with improvements in performance, scalability, and usability.
See practical examples on monitoring LLM applications and Agents with OpenLIT and VictoriaMetrics observability stack. See real examples of the deployment manifests, alerting rules and Grafana dashboard.
A beginner-friendly tour of how VictoriaLogs stores your logs on disk: streams and daily partitions, immutable parts, blocks and columns, and the files inside a part (timestamps, values, bloom filters, column headers, and the two-level index) that let a query read only the bytes it needs.
VictoriaMetrics April 2026 release round‑up: heads up about critical VictoriaMetrics bugfixes in v1.141.0–v1.142.0, and explore new VictoriaLogs features including Splunk ingestion and advanced LogsQL tooling.
Reduce observability costs with hybrid strategies: prioritize revenue-driving signals in SaaS, self-host high-volume telemetry. Cut bills 3-12x without losing visibility.
VictoriaMetrics participated in KubeCon + CloudNativeCon Europe 2026 in Amsterdam. The team delivered multiple talks covering platform design, Kubernetes observability, and distributed tracing optimization. A real-world case study from Miro showcased a cost-efficient, AZ-aware observability architecture built with VictoriaMetrics. With a 15-person team on site, the booth saw strong interest from users tackling scaling, cost, and performance challenges. The company also hosted its first community after-party, “After Deploy,” co-organized with Varnish and Shipfox, extending discussions beyond the conference.
March 2026 VictoriaMetrics Stack releases deliver Grafana Cardinality Explorer, VMUI pagination, JWT auth enhancements, log UI sidebar, and Kubernetes log enrichment for scalable observability. Upgrade now for better UI usability, query performance, and production-ready monitoring workflows.
OpenAI applies observability to autonomous AI agents using the VictoriaMetrics Stack and OpenTelemetry. Learn to build your own local setup with metrics, logs, and traces that help LLMs test, benchmark, and iterate autonomously.
We benchmarked vlagent, Vector, Fluent Bit, Filebeat, Fluentd, Promtail, Grafana Alloy, and OpenTelemetry Collector on throughput, resource usage, and delivery correctness - and found correctness issues that most benchmarks overlook.
February 2026 updates deliver new LTS support, VMUI memory insights, queue alerts, jsonline output, resizable Web UI tables, and automatic snapshot expiry across the VictoriaMetrics Observability Stack.