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The latest News and Information on Distributed Tracing and related technologies.

Introducing Metrics Explorer | SigNoz Launch Week 4.0 Day 2

Ever tried to build a metrics dashboard and thought, “Wait, what metrics am I actually sending?” We heard this from users again and again-so we built Metrics Explorer. For the first time, you get a real-time, interactive view of every metric coming into your system: Whether you’re onboarding a new integration, debugging an alert, or just exploring your data, Metrics Explorer makes it easy to understand and work with your metrics-no more guesswork, just clarity.

Tracing Just Got a Whole Lot More Useful: Search, Visualize, and Alert with Sentry's new Query Engine

For a while, tracing in Sentry was... fine. You could open up a slow transaction, poke around, find the N+1, and feel like a hero. But if you wanted to answer more complex questions - like why your payment API was getting slower in Europe, or which CDN was silently tanking your image loads - things got harder. We didn't really build it to help with answering broad questions.

Deep Temporal Observability | SigNoz Launch Week 4.0 Day 1

If Temporal powers your business-critical workflows, you know how tough it is to get real visibility into what’s happening under the hood. Most tools only show basic Prometheus metrics-leaving you guessing about bottlenecks, failures, and performance issues. Join us for a live demo of SigNoz’s industry-first Temporal integration. We’ll show you how to: Whether you’re running Temporal in production or just exploring workflow orchestration, this session will show you how to move from “just metrics” to true, unified observability.

Unifying OpenTelemetry & Datadog | #Observability #OpenTelemetry #datadog

Previously, teams had to choose between adopting the OpenTelemetry Collector’s capabilities and fully leveraging our advanced features. On This Month in Datadog, we’re spotlighting our OTel Collector distribution, which unifies OTel and Datadog. Check out the link in our bio to watch the new episode.

Angular OpenTelemetry Setup and Troubleshooting

Implementing observability in Angular applications presents unique challenges. Understanding how users experience your application and identifying performance bottlenecks requires specialized tools and approaches. This guide covers implementing OpenTelemetry in Angular applications, with practical code examples for instrumentation, data collection, and integration with observability backends.

Metrics Explorer - Search, Query, and Analyze all your Metrics at one place

Ever tried to build a metrics dashboard and thought, “Wait, what metrics am I actually sending?” We heard this from users again and again-so we built Metrics Explorer. For the first time, you get a real-time, interactive view of every metric coming into your system: Whether you’re onboarding a new integration, debugging an alert, or just exploring your data, Metrics Explorer makes it easy to understand and work with your metrics-no more guesswork, just clarity.

This Month in Datadog: OpenTelemetry Collector distribution, GitHub Copilot integration, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on the Datadog Distribution of the OpenTelemetry Collector.

CloudWatch vs OpenTelemetry: Choosing What Fits Your Stack

Choosing the right observability setup isn’t just a checkbox—it affects how quickly you can detect issues, debug them, and keep your systems reliable. CloudWatch and OpenTelemetry take different paths to that goal: one is a managed service tightly coupled with AWS, the other a flexible, open-source framework that's becoming a go-to in modern monitoring stacks.

Third party API Monitoring Powered by OpenTelemetry Semantics

Is it the third-party API or my code? Your service suddenly slows down, or errors spike, and you’re stuck guessing if it’s your own logic or an external API you don’t control. We’ve seen this pain across teams: dashboards don’t tell you which vendor or endpoint is the culprit, and debugging turns into a maze of guesswork. Rate limiting, vendor errors, or integration issues often slip through until users complain.