Observability for agentic runtimes
Keep model calls, tools, MCP, handoffs, durable workflows, and ordinary application dependencies in one trace.
OpenTelemetry for native mobile apps
Instrument Swift/iOS and Android/Kotlin while preserving trace context and keeping privileged server credentials out of distributed app binaries.
OpenTelemetry for AI agents
A practical way to trace model calls, tools, MCP, retries, and application work without turning every prompt into a log record.
Instrument a Node.js service with OpenTelemetry
Start with automatic coverage, give the service a stable identity, and add custom spans where the application needs a better name for the work.
Agent observability without storing every prompt
Track model behavior, tools, context reuse, cost, and failures with metadata first.
Comparisons
Why Telemio is the lighter choice for modern product teams, with a short note on where each larger or more specialized tool still fits.
Telemio vs Honeycomb
Why Telemio is the easier default for teams that want OpenTelemetry, agent telemetry, and coding-agent verification in one place.
Telemio vs Datadog
Why Telemio gives smaller teams the observability they need without the weight, pricing, and product sprawl of a giant suite.
Telemio vs New Relic
Why Telemio is easier to learn, easier to price, and better suited to an agent-assisted development loop.
Telemio vs Dynatrace
Why Telemio gets product teams running quickly without an enterprise rollout.
Telemio vs Grafana
Why Telemio is simpler when you want observability without assembling and operating the stack yourself.
Telemio vs Sentry
Why Telemio gives coding agents a wider view of the running product than an error-first workflow alone.
Telemio vs Langfuse
Why Telemio keeps AI telemetry connected to the rest of the application instead of creating another observability silo.
Observability pricing comparison
Why Telemio is easier for a small team to budget and understand before the first bill arrives.