Explore latest insights and updates
Discover how OpenObserve built the "Council of Sub Agents" - eight specialized AI agents powered by Claude Code that automate end-to-end testing. Learn how we reduced feature analysis time from 60 minutes to 5 minutes, eliminated 85% of flaky tests, grew test coverage from 380 to 700+ tests, and caught a production bug before customers reported it. This deep dive reveals the architecture, real-world impact, and lessons learned from building an autonomous QA team that doesn't just automate testing - it amplifies quality.
Learn how to use OpenObserve Insights for interactive log and trace analysis. Identify root causes in 60 seconds with dimension analysis. Real examples, step-by-step guides, and troubleshooting tips.
Cloud native was promised to be simple, yet observability has become a massive tax on both budgets and engineering time. Our new CRO, Shani Shoham, shares why he’s joining OpenObserve to break the cycle of expensive complexity and operational toil.
Compare the best APM tools in 2026 with real pricing data, technical analysis, and use case guides. OpenObserve delivers 60-90% cost savings with unified observability for logs, metrics, traces, and APM.
A comprehensive comparison of the top 10 observability platforms in 2026 highlighting their strengths, trade-offs, and use-cases.
Hands-on comparison of DataDog vs OpenObserve pipelines. Explore real-time vs scheduled processing, VRL-based transformations, multi-destination routing, and cost-efficient, unified observability pipelines without extra infrastructure.
Does cheaper observability mean worse capabilities? We tested this assumption by sending identical telemetry from a 16-service OpenTelemetry demo to both DataDog and OpenObserve simultaneously. The results: DataDog costs $174/day vs OpenObserve's $3/day—98% cost savings without sacrificing visibility. Evereve achieved similar results: 90% cost reduction, platform consolidation, and unlimited instrumentation after migrating from DataDog.
Open source DataDog alternative IAM: SSO, RBAC, multi-tenancy included. Action-based permissions across 28+ modules. Compare $0.30/GB vs per-host pricing.
Compare the best Datadog alternatives in 2026 with real cost data, technical analysis, and migration guides. OpenObserve delivers 60-90% cost savings with unified observability for logs, metrics, and traces.
Top 10 open source monitoring tools explained. Learn what they are, why they matter, and how to choose to get the most from your observability strategy.
A comprehensive comparison of the top 10 open source observability platforms in 2026 highlighting their strengths, trade-offs, and use-cases.
Hands-on comparison of DataDog and OpenObserve for alerting and monitoring. DataDog's proprietary monitor syntax and per-custom-metric charges vs OpenObserve's SQL-based unified alerts, composite conditions with joins, and Jinja2-templated notifications. Real test data shows custom metric pricing impact on alert coverage versus flat-rate pricing with comprehensive alerting capabilities.
Hands-on comparison of DataDog and OpenObserve for dashboard visualizations. DataDog's proprietary query syntax and premium tiers vs OpenObserve's SQL/PromQL queries, ECharts custom charts, and community dashboard library. Real test data shows 98% cost savings ($174/day vs $3/day) with identical dashboard capabilities and OpenTelemetry-native architecture.
OpenObserve v0.40.0 comes just in time for the new year, a milestone release that brings major architectural improvements, powerful new alerting capabilities, enhanced observability features, and significant UI/UX refinements. This release represents months of work focused on making OpenObserve more powerful, reliable, and user-friendly.
OpenObserve Kubernetes Operator brings observability as code to platform teams. Manage alerts, pipelines, and functions as Kubernetes resources with GitOps workflows.
A comprehensive comparison of the top 10 Kubernetes Monitoring tools in 2026 highlighting their strengths, trade-offs, and use-cases.
Automatically extract patterns from millions of logs in seconds. Learn how OpenObserve's log pattern analysis helps SREs reduce incident investigation time from 30 minutes to under 5 minutes.
A walkthrough of dashboard JSON structure, query patterns, and integration architecture for Caddy, MinIO, NATS, and ScyllaDB.
DataDog vs OpenObserve APM comparison: $120/day LLM charge, SQL trace dashboards, OTel native, service dependency mapping, and 60-90% cost savings with real data.
A comprehensive comparison of the top 10 log monitoring tools in 2025 highlighting their strengths, trade-offs, and use-cases.
DataDog vs OpenObserve metrics comparison: PromQL support, high-cardinality handling, custom metrics auto-generation, and 60-90% cost savings with real data.
