170 observability tools
Understand what a system is doing from its telemetry: metrics, logs, traces, profiles and errors.
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Observability platforms
Full-stack platforms that take metrics, logs and traces in one place, usually with dashboards, alerting and APM on top.
22 tools -
Metrics and time-series databases
Collect, store and query numeric time series, and evaluate alert rules against them.
11 tools -
Log management
Store and search logs, and alert on patterns or counts in them.
25 tools -
Tracing and APM
Distributed tracing and application performance monitoring: follow a request across services and find where the time goes.
22 tools -
Error and crash tracking
Exceptions and crashes grouped into issues, with stack traces and release data, and alerts when a new issue appears or an old one spikes.
22 tools -
Continuous profiling
Always-on CPU and memory profiles from production, so you can see which code paths cost the most.
13 tools -
Real user monitoring and session replay
Measure performance and errors in real users' browsers and apps, and replay what they did.
28 tools -
OpenTelemetry and telemetry pipelines
Collectors, agents and pipelines that gather telemetry, reshape it and send it on, including the OpenTelemetry project.
22 tools -
Dashboards and visualization
Build dashboards over metrics, logs and traces from one or many data sources.
9 tools -
LLM and AI observability
Trace prompts, model calls and agent steps, and track cost, latency and output quality of AI applications.
22 tools
