ObservabilityOS

C
C tier on Anomaly Detection SoftwareScore 6.9 · #8 of 19
Android app
Not listed
Free plan
Yes
Paid plans from
$292,499/mo
Runs on
api, self-hosted, Web
observabilityos.in
The ObservabilityOS homepage

Summary

ObservabilityOS collects structured logs, scrubs sensitive information, detects anomalies, and produces AI-assisted incident post-mortems. Its rolling statistical Z-score baselines monitor error rates, latency, and CPU usage. The service says analysis using GPT-4 or Claude can describe what happened, why, and a recommended hotfix. Logs can be collected through a JavaScript/TypeScript SDK or a Docker sidecar for local logs and container output; its ingestion API also supports native OTLP HTTP/JSON. Listed integrations include OpenTelemetry, GitHub, Slack, Discord, Microsoft Teams, Docker, Kubernetes, PostgreSQL, and Redis. Incident features include threaded comments, runbooks, service health dashboards, SLOs, and live SSE monitoring. The site says telemetry is scrubbed before storage and sensitive client data is not sent to external LLMs. A free source-available self-hosted option uses Docker/Compose and offers community support. The Free Developer plan allows one service, 500MB of logs monthly, and seven-day retention. Pro Cloud is $29 / month, approximately ₹2,499 / month in India, with 10 services, 10GB monthly logs, and 30-day retention.

Who it is for

ObservabilityOS suits teams that need log and telemetry monitoring alongside incident analysis and response tools. Its free self-hosted option may suit users able to deploy with Docker/Compose.

What is good

  • Detects anomalies in errors, latency, and CPU usage
  • Supports native OTLP HTTP/JSON ingestion
  • Lists integrations across observability and team tools
  • Offers a source-available self-hosted plan

What to know first

  • Free Developer plan is limited to one service
  • Free Developer retention is seven days
  • Free Developer plan allows 500MB of logs monthly

Verdict

ObservabilityOS brings anomaly detection, log collection, and incident workflows together, with both cloud and self-hosted options. Compare the usage limits and retention in each plan against your monitoring needs.

ObservabilityOS plans and pricing

All plans
Free Developer Free Free / Source-Available 1 service · 500MB logs / month · 7-day retention observabilityos.in · 29 Sept 2026
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 observabilityos.in · 29 Sept 2026
Pro Cloud $292,499/mo $29 / month≈ ₹2,499 / month in India 10 services · 10GB logs / month · 30-day retention observabilityos.in · 29 Sept 2026

Compared on anomaly detection software

Free plan
Yesobservabilityos.in
Paid from
$29/moobservabilityos.in
Detection method
hybridobservabilityos.in
Real-time detection
Yesobservabilityos.in
Supported data
logs, metrics, tracesobservabilityos.in
Deployment options
hybridobservabilityos.in
Anomaly explanations
Yesobservabilityos.in
Data retention
30 daysobservabilityos.in

Facts

What it does
ObservabilityOS ingests structured logs, scrubs PII, detects latency and error anomalies, and generates AI root-cause post-mortems.observabilityos.in · 29 Sept 2026
Anomaly detection
It uses rolling statistical Z-score baselines to detect anomalies in error rates, latency, and CPU usage.observabilityos.in · 29 Sept 2026
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.observabilityos.in · 29 Sept 2026
Log ingestion
The product offers a zero-dependency JavaScript/TypeScript SDK and a Docker sidecar that can collect local logs or container stdout.observabilityos.in · 29 Sept 2026
Integrations
The site lists OpenTelemetry, GitHub, Slack, Discord, Microsoft Teams, Docker, Kubernetes, PostgreSQL, and Redis integrations.observabilityos.in · 29 Sept 2026
Incident tools
Features include incident creation, threaded comments, runbooks, service health dashboards, SLOs, and live SSE monitoring.observabilityos.in · 29 Sept 2026
Privacy
The site says telemetry is scrubbed before database storage, including credentials, authorization headers, JWTs, credit card numbers, and user-defined patterns.observabilityos.in · 29 Sept 2026
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.observabilityos.in · 29 Sept 2026
OpenTelemetry support
The ingestion API supports native OTLP HTTP/JSON, which the site says can be configured without code modifications for existing collectors.observabilityos.in · 29 Sept 2026
Self-hosting
The pricing section offers a free source-available self-hosted plan with Docker/Compose deployment and GitHub community support.observabilityos.in · 29 Sept 2026
Support
The site lists GitHub community support for the self-hosted plan and gives [email protected] as its support contact.observabilityos.in · 29 Sept 2026
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.observabilityos.in · 29 Sept 2026

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