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Comparison
Odigos vs OBI
Application-level eBPF instrumentation vs network level visibility
Odigos
Application-level eBPF platform
Instrument real application functions at runtime. No code changes or restarts required.
Library-level probesUprobes on all application and library functions, not just syscalls.
OSS and Custom Code SupportInstrument custom code live, no redeploys or importing SDKs.
Encrypted Traffic & mesh-awareTLS context propagation and service-mesh context.
Automated OpenTelemetry Pipeline + AI NativeManaged OTEL collectors, RBAC, SSO, built-in MCP Server, and live OTTL.
The alternative
Syscall & network eBPF
Language-agnostic tracing via syscalls for broad but shallow coverage.
OpenTelemetry OBI docs
Syscall / network onlyKernel-level visibility without library context.
No encrypted trafficBroken trace context propagation across load-balancers and encrypted traffic.
Limited app depthNo stack traces, HTTP payloads, JVM metrics, or internal DB spans.
Instrumentation onlyNo pipeline management, RBAC/SSO, or MCP Server.
Side by side
Detailed capability comparison for production observability
CapabilityOdigosOBI
Library-level instrumentation (vs syscalls)yesSyscalls / network only
Custom code instrumentation without code changesyesno
CPU and memory profilingyesno
MCP server & dynamic instrumentation / samplingyesno
Load-balancer / service mesh context propagationyesno
Encrypted traffic visibilityyesno
Kafka message payloadsyesno
Code attributes (stack traces, line numbers)yesno
Custom HTTP headers, requests & responsesyesno
Internal DB spans (locks, unlocks, etc.)yesno
Full RBAC and SSO through a UIyesno
Automatic OpenTelemetry pipeline managementyesno
JVM Metricsyesno
Log Captureyesno
The Production Context Platform
Stop guessing. Ask production.
One agent. One service. See how Odigos helps answer a production question.