The cheapest byte is the one you never ingest. Five pipeline patterns — edge filtering, cardinality control, tail sampling, tiered routing, per-service budgets — to cut ingest 40–70% without losing incident-time signal.
Nobody planned for this. The same platform that cost $800/month with 10 engineers starts costing $14,000/month at 50. Host-based pricing, dual log billing, and cardinality explosions are structural features, not bugs. Here's the architecture that fixes it.
OTel Profiles just entered public alpha — making continuous profiling the fourth signal in the standard. We built profiling ingestion on ClickHouse months ago. Here's the two-table schema, trace correlation, and what this means for the ecosystem.
The classic logs-metrics-traces model was designed for a simpler era. Here's what complete observability looks like in 2026 — and why your current stack may have dangerous blind spots.
Deploy a production-ready two-tier OTel Collector architecture on Kubernetes — DaemonSet agents, gateway, RBAC, auto-instrumentation, and the mistakes to avoid.
The future of SRE is agent-driven. Learn why AI agents managing observability is more effective and 10x more cost-efficient than traditional human-operated monitoring.
In-depth comparison of Datadog, New Relic, Grafana, Dynatrace, Splunk, and modern alternatives. Find the right platform for your needs and budget.
See exactly what users experience. Bridge the gap between backend traces and frontend behavior for faster issue resolution.
Practical strategies to cut monitoring costs without losing visibility. Learn about sampling, retention policies, and choosing the right backend.
Everything you need to implement distributed tracing, metrics, and logging with OpenTelemetry. From zero to production-ready observability.
Discover why ClickHouse's columnar architecture makes it ideal for storing and querying logs, metrics, and traces at scale.
