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The latest News and Information on Application Performance Monitoring and related technologies.

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

If you’ve ever found yourself staring at a dashboard dropdown, wondering, “What metrics am I even sending to my observability tool?”, you’re not alone. For most engineering teams, answering even the most basic telemetry questions is about as hard as catching a Mewtwo. Frustratingly elusive and way more complicated than it should be, like: We built Metrics Explorer to finally answer all of these questions instantly, and in one place.

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.

Deep Temporal Observability - Correlate Metrics with Logs & Traces

Temporal lets you orchestrate complex, reliable workflows, but when something breaks or slows down, the built-in dashboards only give you a list of events and some basic filters. You can see what happened and filter by attributes like workflow type or namespace, but you can't drill deeper. There's no way to jump straight from a metric spike to the exact trace or log line you care about.

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.

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.

Observability Best Practices: Balancing Sustainability and Cost in a Data-Driven World

Imagine this: Your IT team has invested in cutting-edge observability tools to keep systems running smoothly. But does that imply you are following observability best practices? As your business grows, so does the flood of logs, traces, and metrics—along with a skyrocketing cloud bill. What started as a way to gain better visibility is now a major expense, and suddenly, you’re asking: Are we paying too much for too little value? This challenge is becoming all too common.

Optimising OpenTelemetry Pipelines to Cut Observability Costs and Data Noise

Fat bills from observability vendors and tons of not-so-insightful telemetry data have turned out to be a very common issue today. This often leaves teams having to explain the lack of clear ROI, despite the growing costs. If you’re using OpenTelemetry to record your observability data, there are some practical methods you can apply to keep those costs from piling up.
Featured Post

How to decide between cloud and on-premise monitoring

Application performance monitoring systems tend to be available in two modes: on-premise and cloud-based SaaS. Which is the "right" choice? Well, it depends on your situation, but overall cloud-based SaaS offerings have significant benefits when compared to on-premise. However, it's not always so simple. The right selection depends on the facts on the ground. Using my experience working for a large-scale cloud solutions department, I've put together some key things you'll want to consider before you make a decision, starting with some benefits and challenges.