Discover multi-tier observability architecture with VictoriaMetrics OSS. Learn how to isolate default, high-cardinality, and business-critical workloads into separate tiers with optimized retention periods, ingestion resolution, cardinality limits, alerting policies, and cost controls.
Discover multi-tier observability architecture with VictoriaMetrics OSS. Learn how to isolate default, high-cardinality, and business-critical workloads into separate tiers with optimized retention periods, ingestion resolution, cardinality limits, alerting policies, and cost controls.
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.
Q1 2026 brought incremental but important updates to VictoriaMetrics Anomaly Detection: UI improvements, AI assistance inside the UI, a public traces playground, new false-positive reduction controls, and continued resource optimizations.
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.
Q1 2026 brought VictoriaLogs GA, a hosted MCP Server, a brand new cost calculator, a major expansion of alerting rule presets with a new editor, infrastructure improvements, notifications via generic webhooks and a few things we are cooking.
If you’ve been struggling with the high resource overhead of tail sampling, check out retroactive sampling, an approach that significantly reduces sampling overhead for distributed tracing in OpenTelemetry.
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.