Open Telemetry Reviews and Details

Is Open Telemetry good?

Social recommendations and mentions

• Left of the Loop: The Kybernetes

  OpenTelemetry does something different if you use it the way it’s meant to be used. The loop reports on its own state as it runs - what it’s calling, what it’s costing, how long each step takes, where it’s stuck. Not after. While it’s happening. - Source: dev.to / 6 days ago

• Observability Design for the AI Era — Application / Infrastructure / CI / LLM, Each in Its Own Shape (Part 1)

  The foundation is unremarkable. Every cortex application is instrumented with OpenTelemetry, with traces going to Tempo, logs to Loki, and metrics to Mimir — the standard Grafana Cloud setup. - Source: dev.to / 19 days ago

• Announcing General availability of the Azure Cosmos DB vNext emulator

  The emulator supports the OpenTelemetry Protocol (OTLP) for exporting telemetry. With --enable-otlp (or ENABLE_OTLP_EXPORTER=true), it emits request rates, query execution times, resource utilization, and error rates that you can pipe into any OTLP-compatible backend. For quick debugging without a collector, --enable-console (or ENABLE_CONSOLE_EXPORTER=true) prints telemetry to stdout. Conditional TLS is supported... - Source: dev.to / 25 days ago

• Are AI Apps Safe? What Developers Should Build Into AI Systems Before Production

  Observability should include model behavior and tool calls. - Source: dev.to / about 1 month ago

• The Complete Guide to AWS Service Monitoring with OpenTelemetry (2026)

  OpenTelemetry (OTel) is a CNCF-graduated open-source project. It provides a unified standard for collecting metrics, logs, and traces from distributed systems. At its core, OTel consists of three things:. - Source: dev.to / about 2 months ago

• Launch HN: Superlog (YC P26) – Observability that installs itself and fixes bugs

  Thank you! Very good point. Right now, the prompt will enumerate all the services and install the OpenTelemetry SDK (https://opentelemetry.io/) in each service. Then for every service, the skill will make sure that: - Every time something breaks and an operator needs to take a look, there's an error log. - Source: Hacker News / 2 months ago

• Should you build or buy an MCP runtime for enterprise AI agents in 2026?

  The runtime generates fine-grained, OpenTelemetry-compatible audit logs. Every action is tracked: which user prompted the agent, which LLM model generated the tool call, what parameters were passed, and what the downstream API returned. That visibility is a prerequisite for passing security reviews in regulated industries. - Source: dev.to / 2 months ago

• Why LLMs Can't Replace Your SREs (Yet)

  Here's what I love about this study: they stuck to first principles. No abstract benchmarks. No synthetic tests. Just real OpenTelemetry data thrown at these models with a simple ask - do what SREs do every day: figure out why production's on fire. - Source: dev.to / 2 months ago

• How We Replaced Apache with Nginx 1.25 and Cut Reverse Proxy Latency by 25% for Our APIs

  Before and after migration, you need statistically significant benchmarks to validate latency improvements, not just anecdotal evidence. Use wrk2 instead of wrk for latency benchmarking, as it supports constant throughput load generation, which avoids the coordinated omission problem that skews p99 latency numbers. We used wrk2 to generate 10k concurrent connections for 10 minutes, measuring p50/p90/p99 latency,... - Source: dev.to / 3 months ago

• From AZ-204 to AI-200: What Changed and Why It Matters

  Your tracing code now works the same whether telemetry flows to Azure Monitor, Jaeger, or Datadog. The Application Insights SDK locked you into Microsoft's instrumentation API, Microsoft's backend, and Microsoft's query tools. AI-200 replaces that instrumentation layer with OpenTelemetry, the CNCF-backed open standard. - Source: dev.to / 3 months ago

• Shifting to an Observability Mindset from a Developer's Point-of-view

  OpenTelemetry (Observability tooling used in this example). - Source: dev.to / 3 months ago

• Next-Level Observability with OpenTelemetry

  In this tutorial, I'll walk you through how I moved beyond basic logging by instrumenting a Kotlin and Spring Boot backend service with OpenTelemetry. You'll learn how OpenTelemetry's tracing model gives you the execution context that logs alone can't provide. By the end of this guide, you'll have a working instrumented service and a clear mental model for building more observable backend systems. - Source: dev.to / 3 months ago

• Learning Fullstack Observability: Metrics

  OpenTelemetry is a vendor-neutral framework for observability, and is made of 3* main pillars:. - Source: dev.to / 4 months ago

• Why You Should Add Observability to Your Data Extraction with OpenTelemetry

  In this post, we’ll build a SERP pipeline on top of Bright Data’s API and instrument it with OpenTelemetry (See: Python docs), the open-source standard for distributed tracing. Bright Data reduces blocks and proxy headaches out of the box — but proper Otel tracing shows you exactly where risk remains. - Source: dev.to / 3 months ago

• Document Workflow Automation: An Architectural Guide to Building API-Driven Document Pipelines

  Instrument each pipeline stage with three metrics: processing latency (time from job enqueue to stage completion), error rate per stage, and document volume per time window. Use structured JSON logging so stage failures are queryable without parsing free-text log lines. OpenTelemetry makes it straightforward to emit these metrics in a vendor-neutral format. - Source: dev.to / 4 months ago

• SigNoz + Tracetest: OpenTelemetry-Native Observability Meets Testing

  What is the hidden potential of OpenTelemetry? It goes a lot further than the (awesome) application of tracing and monitoring your software. The OpenTelemetry project is an attempt to standardize how performance is reported and how trace data is passed around your microservice architecture. This context propagation is a superpower for those who adopt OpenTelemetry tracing. Tracetest promises to make this deep... - Source: dev.to / 5 months ago

• Implementing OpenTelemetry in React Applications

  OpenTelemetry is an open-source vendor-agnostic set of tools, APIs, and SDKs used to instrument applications to create and manage telemetry data(logs, metrics, and traces). It aims to make telemetry data a built-in feature of cloud-native software applications. - Source: dev.to / 5 months ago

• Getting Started with AP2

  Furthermore, Jaeger is introduced as the OpenTelemetry backend. - Source: dev.to / 6 months ago

• YOW! 2025

  Regular readers of this blog know my continued interest in OpenTelemetry. I also had the pleasure of leading a one-day masterclass on OpenTelemetry in Melbourne. OpenTelemetry is an amazing tool to observe your information system and get continuous insight from it. - Source: dev.to / 7 months ago

• The Unofficial Guide to Contributing to OpenTelemetry — where to look and who to talk to!

  OpenTelemetry provides the tools and standards to collect metrics, logs, and traces from applications and services. Getting started with contributions can feel overwhelming, so here is something people rarely tell you. - Source: dev.to / 7 months ago

• Azure Cosmos DB vNext Emulator: Query and Observability Enhancements

  OpenTelemetry is an open-source observability framework that provides a collection of tools, APIs, and SDKs for instrumenting, generating, collecting, and exporting telemetry data. - Source: dev.to / 7 months ago