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ObservabilityOS

observabilityos.in

From $29/mo Free plan WebAPISelf-hosted
Visit observabilityos.in
Spec score 8.0 #4 of 22 in Anomaly Detection Software

What it is

ObservabilityOS collects structured logs and supports observability workflows across logs, metrics, and traces. It uses rolling statistical Z-score baselines to flag changes in error rates, latency, and CPU usage, then can use GPT-4 or Claude for incident analysis that describes what happened, why, and a suggested hotfix. Log collection options include a JavaScript/TypeScript SDK and a Docker sidecar for local logs or container output. The ingestion API supports native OTLP HTTP/JSON for existing collectors. Listed integrations include OpenTelemetry, GitHub, Slack, Discord, Microsoft Teams, Docker, Kubernetes, PostgreSQL, and Redis. Incident tools include threaded comments, runbooks, health dashboards, SLOs, and live SSE monitoring. The maker says telemetry is scrubbed before storage and sensitive client data is not sent to external LLMs. Plans include a free developer option, a free source-available self-hosted option, and Pro Cloud at $29/mo. The developer plan allows one service, 500MB of logs monthly, and seven-day retention; Pro Cloud lists 10 services, 10GB monthly, and 30-day retention.

Spec sheet

What it does
ObservabilityOS ingests structured logs, scrubs PII, detects latency and error anomalies, and generates AI root-cause post-mortems.Read 29 Sep 2026 · observabilityos.in
Integrations
The site lists OpenTelemetry, GitHub, Slack, Discord, Microsoft Teams, Docker, Kubernetes, PostgreSQL, and Redis integrations.Read 29 Sep 2026 · observabilityos.in
Privacy
The site says telemetry is scrubbed before database storage, including credentials, authorization headers, JWTs, credit card numbers, and user-defined patterns.Read 29 Sep 2026 · observabilityos.in
Support
The site lists GitHub community support for the self-hosted plan and gives [email protected] as its support contact.Read 29 Sep 2026 · observabilityos.in
AI analysis
The site says incident analysis uses GPT-4 or Claude to produce a post-mortem with what happened, why, and a recommended hotfix.Read 29 Sep 2026 · observabilityos.in
Anomaly detection
It uses rolling statistical Z-score baselines to detect anomalies in error rates, latency, and CPU usage.Read 29 Sep 2026 · observabilityos.in
Incident tools
Features include incident creation, threaded comments, runbooks, service health dashboards, SLOs, and live SSE monitoring.Read 29 Sep 2026 · observabilityos.in
LLM data handling
The site says sensitive client data is not sent to external LLMs; sanitized schema metadata, anonymized error types, and deployment context are processed.Read 29 Sep 2026 · observabilityos.in
Log ingestion
The product offers a zero-dependency JavaScript/TypeScript SDK and a Docker sidecar that can collect local logs or container stdout.Read 29 Sep 2026 · observabilityos.in
OpenTelemetry support
The ingestion API supports native OTLP HTTP/JSON, which the site says can be configured without code modifications for existing collectors.Read 29 Sep 2026 · observabilityos.in
Self-hosting
The pricing section offers a free source-available self-hosted plan with Docker/Compose deployment and GitHub community support.Read 29 Sep 2026 · observabilityos.in
Usage limits
The Free Developer plan includes 1 service, 500MB of logs per month, and 7-day retention; Pro Cloud lists 10 services, 10GB per month, and 30-day retention.Read 29 Sep 2026 · observabilityos.in

Plans and prices

Free Developer Free Free / Source-Available 1 service · 500MB logs / month · 7-day retention Read 29 Sep 2026 · observabilityos.in
Self-Host Source-Available Free Free / Source-Available Unlimited services · Unlimited logs · Unlimited retention · Bring your own keys for multi-channel alerts and AI analysis Read 29 Sep 2026 · observabilityos.in
Pro Cloud $29 a month $29 / month≈ ₹2,499 / month in India 10 services · 10GB logs / month · 30-day retention Read 29 Sep 2026 · observabilityos.in

Every ObservabilityOS plan and price →

Strong points and limits

Strong points

  • Native OTLP HTTP/JSON ingestion support
  • SDK and Docker sidecar log collection
  • Includes runbooks, SLOs, and health dashboards
  • Free self-hosted source-available plan available

Limits

  • Free Developer plan is limited to one service
  • Free Developer retention is seven days
  • Pro Cloud limits logs to 10GB monthly

Who it suits

It suits teams that want log and telemetry anomaly detection alongside incident response tools. The free self-hosted option may suit teams able to deploy with Docker/Compose and bring their own keys for multi-channel alerts and AI analysis.

Verdict

ObservabilityOS combines anomaly detection, log collection, and incident workflows, with both cloud and self-hosted options. Check plan limits and data handling details against your deployment needs before choosing.

Where Specifiction places it

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