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The latest News and Information on Observabilty for complex systems and related technologies.

Sovereign observability: How UAE data residency powers resilient digital economies

Cloud observability is a must for IT teams operating in modern digital economies. It allows administrators to see inside complex systems, understand how each component behaves under real conditions, and act before users or regulators feel the impact. In simple terms, observability transforms digital infrastructure from a black box into a transparent, accountable, and resilient system.

Uptrace Errors & Logs Tutorial: Capture Stacktraces, Context, and Traces in One Place

Every error tells a story — and Uptrace helps you see the full picture. In this tutorial, you’ll learn how to use Uptrace to capture errors, logs, stacktraces, and request context in a single observability platform. See how errors automatically link to traces, understand exactly what happened, and debug issues faster with rich attributes, user data, and performance impact. What you’ll learn: Understand not just *what broke*, but *who it affected and why* — and fix problems with confidence using Uptrace.

Uptrace Tutorial: Dashboards, Percentiles, Heatmaps & OpenTelemetry Metrics

Learn how to use *Uptrace* to measure what truly matters in your applications using percentiles, heatmaps, and histograms—then turn that data into dashboards that answer questions before they’re even asked. In this tutorial, you’ll discover how to: Whether you’re setting up observability for the first time or replacing expensive monitoring tools, this guide shows how Uptrace helps you understand performance, reliability, and user experience — all in one place.

End-to-End Tracing with Uptrace: Follow Any Request Across Your Entire System

Stop guessing where requests slow down. With Uptrace, you can follow any request across your entire system and instantly see performance bottlenecks, errors, and latency sources. This video covers: Build real observability, not just dashboards.

Happy Birthday to Us: Honeycomb 10 Year Manifesto, Part 1

Christine and I started Honeycomb in 2016, which means it’s been ten years. Christine, a developer, and I, an operations engineer, were both profoundly unhappy with the state of the art in monitoring and logging tools. The tools we had used at Facebook didn’t spray our signals around to a bunch of siloed-off pillars. They consolidated as much context as possible so we could properly explore it, the way every other non-software engineering team already takes for granted.

ilert now supports a native WhaTap integration

ilert now supports a native WhaTap integration, connecting AI-native observability with AI-first incident management in a seamless workflow. This integration allows DevOps, SRE, and IT teams to move instantly from detection to resolution – cutting through alert noise, improving coordination, and dramatically reducing MTTR in even the most complex IT environments.

The Architecture Shift Powering Network Observability

If you work in network operations, you know that the only constant is the increasing complexity of the infrastructure you manage. The days of installing a monolithic software package on a single bare-metal server and letting it hum along for years are largely behind you. The software industry has largely shifted toward cloud-native architectures, microservices, and containerization. While these shifts promise agility and scalability, they also introduce significant operational complexity.

Kubernetes Network Observability: Comparing Calico, Cilium, Retina, and Netobserv

Calico, Cilium, Retina, and Netobserv: Which Observability Tool is Right for Your Kubernetes Cluster? Network observability is a tale as old as the OSI model itself and anyone who has managed a network or even a Kubernetes cluster knows the feeling: a service suddenly can’t reach its dependency, a pod is mysteriously offline, and the Slack alerts start rolling in. Investigating network connectivity issues in these complex, distributed environments can be incredibly time consuming.

Why distributed observability is straining and what new research reveals

Distributed systems quietly run much of today's digital world. People expect these systems to work reliably across regions and time zones for everything from money transfers to streaming platforms and AI-driven workloads. As organisations use more microservices, containers, and event-driven architectures, observability has become the main way for teams to understand what is happening in production.