Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Streaming Video Monitoring: How to Detect Playback Issues Before Viewers Leave

Video is the single largest driver of internet traffic worldwide. According to the Sandvine Global Internet Phenomena Report, video accounts for 65% of all internet traffic, with on-demand streaming alone consuming over half of all downstream bandwidth on fixed networks. In the United States, households spend nearly five hours per day streaming content, and 94.6% of internet users worldwide watch online video monthly.

The Business Case for AI-Driven Observability in Network Operations

Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight.

KubeCon + CloudNativeCon EU 2026: What We Learned About AI, Observability, and Fast Feedback Loops

Honeycomb was excited to attend KubeCon + CloudNativeCon Europe, where one theme stood out across sessions: as AI reshapes how software is built and run, teams are being pushed to rethink how they understand their systems. Without strong observability and feedback loops, AI can accelerate confusion, misalignment, and operational risk.

Paris | Observability Unleashed - Boostez vos opérations IT, DevOps & SRE

La complexité des environnements IT ne cesse de croître. La visibilité en temps réel n'est plus une option. Le 14 avril 2026, Stéphane Estevez , EMEA Observability Market Advisor chez Splunk, vous invite chez Cisco à Paris pour un événement dédié à l'observabilité, avec les équipes Splunk & Cisco. Au programme : Observabilité assistée par l'IA Stratégies de données intégrées OpenTelemetry simplifié De la donnée à l'action, avec des cas concrets et démos live Observabilité pour l'IA et par l'IA.

Distributed Tracing | Debugging your Next.js applications with Sentry

Sometimes a simple stack trace won’t provide enough information for you to debug the issue at hand. There are types of issues that require you to know what happened leading up to the exception. In those cases, reach for tracing. Distributed tracing gives you an overview of every operation that happened during the execution of a certain functionality across your whole stack. Aside from being an awesome debugging tool, it also lets you identify any performance bottlenecks in your application. In this video you’ll learn how to view traces in Sentry and implement them in your Next.js application.

Conversations: Ask Netdata About Anything You're Looking At

Netdata AI can already troubleshoot your alerts and generate Insights reports. What it couldn’t do, until now, was have a back-and-forth conversation. You could get a one-shot analysis, but you couldn’t ask follow-up questions, pull in additional context, or go from a quick question to a full investigation without starting over. We’ve added a conversational layer to Netdata AI.

Understand session replays faster with AI summaries and smart chapters

Datadog Session Replay gives teams a video-like view of what real users experienced in their applications. Engineers rely on replays to connect errors and slowdowns to actual user behavior, while product managers use them to understand friction and improve critical flows. But finding the right replay and the right moment often means manually scanning long sessions without knowing whether they contain relevant signals.

Search and act across Datadog to resolve issues faster with Bits Assistant

Finding the right information across dashboards, monitors, and telemetry sources takes time, even for experienced engineers. When something breaks, it often means figuring out where to start, rebuilding queries, and jumping between metrics, logs, and traces before you can take action. The challenge isn’t a lack of data but the effort required to surface the right information at the right moment.