Operations | Monitoring | ITSM | DevOps | Cloud

Over the course of my 20 years as a developer, SRE, and now observability product leader, software has typically progressed at a good pace. But now, the emergence of two transformative technologies are fundamentally reshaping enterprise observability: generative AI (GenAI) and OpenTelemetry (OTel). We surveyed over 500 IT decision-makers for a new report:The Landscape of Observability in 2026: Balancing Cost and Innovation.

This guide shows you how to implement OpenTelemetry’s auto-instrumentation for complete distributed tracing across your microservices, from initial setup through production optimization and troubleshooting.

OpenTelemetry instrumentation is the foundation of modern microservices observability, but getting it right in production requires more than just enabling auto-instrumentation. This guide covers production-tested OpenTelemetry best practices that help engineering teams achieve reliable distributed tracing, control observability costs, and extract maximum value from their telemetry data.

Distributed tracing has become essential for modern software teams. As applications evolve into complex distributed systems with microservices, APIs, databases, and third-party integrations, understanding how a single user request travels through your entire stack is no longer optional, it’s critical for maintaining performance, reliability, and user satisfaction.

The distributed tracing landscape has evolved from “observability add-on” to core production infrastructure. In 2026, distributed tracing is no longer optional for engineering teams operating microservices, Kubernetes, or AI-driven workloads. It is now tightly coupled with incident response, cost optimization, and AI-assisted debugging.

For many teams, 2024 was the year of asking, “can OpenTelemetry do this?” In 2025, the community answered with a resounding “yes,” moving beyond experimentation to focus on what matters most in practice: stability, ease of use, and cross-project compatibility. That momentum now sets the stage for what’s to come for OpenTelemetry in 2026.

OpenTelemetry makes it easy to produce and transmit any type of telemetry. In production environments, this often means deploying the OpenTelemetry Collector as an intermediary to process, enrich, and route telemetry data. As systems scale, so does this infrastructure—sometimes to hundreds or thousands of Collectors spread across environments.