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

coroot

Profiling Java apps: breaking things to prove it works

Apr 3, 2026 By Nikolay Sivko In Coroot
Coroot already does eBPF-based CPU profiling for Java. It catches CPU hotspots well, but that's all it can do. Every time we looked at a GC pressure issue or a latency spike caused by lock contention, we could see something was wrong but not what. We wanted memory allocation and lock contention profiling. So we decided to add async-profiler support to coroot-node-agent. The goal: memory allocation and lock contention profiles for any HotSpot JVM, with zero code changes. Here's how we got there.
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When we say "Observability AI Reckoning," what are we actually talking about?

Apr 3, 2026 By Virtana In Virtana
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.
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dotcom-monitor

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

Apr 3, 2026 By Dotcom-Monitor In Dotcom-Monitor
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.
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selector

The Business Case for AI-Driven Observability in Network Operations

Apr 3, 2026 By Dallon Robinette In Selector
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.
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honeycomb

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

Apr 3, 2026 By Abdullah Chowdhury In Honeycomb
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.
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Paris | Observability Unleashed - Boostez vos opérations IT, DevOps & SRE

Apr 3, 2026 By Splunk In Splunk
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.
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hyperping

The Hidden Cost of Separate Monitoring and On-Call Tools

Apr 2, 2026 By Leo Baecker In Hyperping
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.
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Distributed Tracing | Debugging your Next.js applications with Sentry

Apr 2, 2026 By Sentry In 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.
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