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Observability

Monitor applications with logging, metrics, tracing, and alerting.

What is Observability?

Observability is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to operations, this skill activates automatically — bringing domain-specific knowledge about observability, monitoring, logging, apm directly into your development workflow.

Generates observability stacks: structured logging (Pino/Winston), distributed tracing (OpenTelemetry), metrics (Prometheus/Datadog), alerting rules, and dashboard configurations. Handles correlation IDs across services, log aggregation, and SLO-based alerting.

Key Capabilities

  • Generates complete, working implementations for observability with proper error handling and edge cases
  • Understands best practices and security patterns specific to operations development
  • Provides step-by-step guidance from setup through production deployment
  • Adapts to your existing codebase — works with any framework, language, or architecture
  • Generates tests alongside implementation code to ensure reliability
  • Specialized knowledge of monitoring patterns, common pitfalls, and optimization techniques

How to Use Observability on Multos AI

Example Prompts

  • "Set up OpenTelemetry tracing across my microservices"
  • "Build a monitoring dashboard with Prometheus and Grafana"
  • "Add structured logging with correlation IDs to my API"

Example Output

// OpenTelemetry auto-instrumentation
const sdk = new NodeSDK({
  resource: new Resource({ 'service.name': 'api-server' }),
  traceExporter: new OTLPTraceExporter({ url: COLLECTOR_URL }),
  instrumentations: [getNodeAutoInstrumentations()]
});
sdk.start();

// Structured logging with trace correlation
logger.info('Order created', {
  orderId: order.id, userId: user.id,
  traceId: trace.getActiveSpan()?.spanContext().traceId
});

Real-World Use Case

A team debugging production issues across 6 services set up OpenTelemetry tracing, structured JSON logging with correlation IDs, and Grafana dashboards with SLO-based alerts — reducing mean time to resolution from 45 minutes to 8 minutes.

Frequently Asked Questions

What is the Observability skill in Multos AI?

The Observability skill is a specialized AI capability within Multos AI that monitor applications with logging, metrics, tracing, and alerting. It activates automatically when your prompt relates to operations tasks, providing expert-level guidance and production-ready code.

Do I need to configure Observability manually?

No. Multos AI uses intent detection to activate the Observability skill automatically when your request involves observability. There's no setup, no plugins to install, and no configuration files to manage.

Which AI models work best with Observability?

All 33 models on Multos AI can leverage the Observability skill. For complex operations tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.

Can I use Observability with my existing project?

Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Observability skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.

Is Observability available on the free plan?

Yes, all 70 agent skills including Observability are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex operations tasks.

Related Operations Skills

Build with Observability on Multos AI

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