Operations | Monitoring | ITSM | DevOps | Cloud

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

When we say "Observability AI Reckoning," what are we actually talking about?

We’ve spent the last decade collecting more telemetry. Now AI is analyzing it. Here’s the catch: AI needs the full dependency chain to reason correctly. If it sees spans but not storage contention… Services but not Kubernetes scheduling… Frontend metrics but not downstream providers… It will confidently optimize the wrong thing. AI doesn’t lower the need for observability. It raises the standard.

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.

How to Reduce False Positive Alerts in Uptime Monitoring

The most effective way to reduce false positive alerts in uptime monitoring is to use multi-location verification, where your service is checked from several geographic regions and an alert only fires when multiple locations confirm the issue. Pair that with smart retry logic, appropriate timeout settings, and a well-structured notification strategy, and you can cut false positives by over 90%.

The Hidden Cost of Separate Monitoring and On-Call Tools

Most engineering teams I talk to run at least two or three separate tools for monitoring, on-call, and status pages. UptimeRobot or Pingdom watches the services. PagerDuty pages the on-call engineer. Statuspage.io tells customers what is happening. The dollar cost of this stack is easy to calculate. The hidden costs are harder to see, and they add up faster than the subscription fees.

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.