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

How Inkeep Monitors Their AI Agent Framework with SigNoz

AI agents are fundamentally different beasts to monitor compared to traditional applications. A single user request can trigger a cascade of 10+ internal operations: sub-agent transfers, tool executions, LLM calls, API requests, each with unpredictable latency and failure modes. When something goes wrong (and with LLMs, things go wrong in creative ways), you need to see the entire execution flow to debug effectively.

What Broken Checkouts Really Cost: Why Transaction Monitoring Pays For Itself

Broken checkouts lead to lost transactions, drain revenue, undermine customer trust, and damage brand credibility. Unfortunately, most companies don't realize their checkout is failing until sales drop or customers start complaining. According to statistics, technical issues cause checkout abandonment in at least 17% of cases. This means nearly one-fifth of lost conversions are preventable. For any online business, even a small checkout failure can result in significant revenue loss.

Complete web Performance Strategy with Web Synthetic Monitoring

You’ve optimized your code, implemented caching strategies, and configured your CDN perfectly. Your analytics dashboard shows respectable load times, and your development team reports everything is running smoothly. Yet, conversion rates remain stagnant, bounce rates climb during peak hours, and your competitors consistently outperform you in user experience metrics. What’s missing?

Reporting Exceptions to Honeycomb with Frontend Observability

So you've built a client application and you've started sending telemetry. The information sent back by this client is vital to you, and one of the first things you care about is capturing and reporting errors. There are at least two ways to report error details in OpenTelemetry. Web applications generally place exceptions in trace spans as span events, and mobile applications send exceptions as log messages instead.

OpenTelemetry Metrics with 5 Practical Examples

Picture this, your observability tool already nails the basics like request rates, latency and memory usage, but you need more insight. Think user churn rates, engagement spikes, or even how many carts get abandoned mid-checkout. That’s where OpenTelemetry steps in, providing a way to track those critical custom metrics with ease.

Lean Operations for a Fragmented Middleware World: Why Efficiency, Resilience and Compliance Now Depend on a New Model

Fragmented middleware estates create hidden costs, operational drag, and growing compliance risk. Learn why lean operations, unified visibility, and built-in auditability are now essential for modern messaging and streaming environments.

Graylog Guided Demo

Have a sneak peek at Graylog V7.0. Graylog V7.0 introduces a major step forward in speed, usability, and visibility across your entire security and operations workflow. In this demo, we walk through the newest capabilities designed to help teams detect, investigate, and respond faster than ever. You’ll see how the updated interface streamlines daily tasks, how the enhanced search and pipeline tools simplify complex data handling, and how powerful additions like built-in correlation and modernized dashboards give you clearer insight with less effort.

Scrapers Take Down GitHub: December 11 Outage Timeline

On December 11, 2025, GitHub experienced intermittent disruptions that frustrated users across the globe. Developers everywhere started seeing random errors, 503s, unicorns, and CI pipeline failures. Very quickly it became clear something was wrong, even though GitHub’s status page still said ALL SYSTEMS OPERATIONAL. After the incident was over, GitHub published a postmortem that revealed the cause: scrapers. Automated tools hit GitHub with enough traffic to overwhelm key backend systems.

Agentic AI demands a new data architecture #ai #telemetry

Clint Sharp explains why traditional schema-on-read systems cannot handle the query loads of the future. Agentic telemetry requires a 360-degree view, but structuring data only when you read it is too slow for AI-driven workloads. The solution is using LLMs to drive the cost of building parsers to near zero. Tools like Copilot Editor allow teams to map data to OCSF instantly, effectively building factories of parsers to handle the scale of agentic AI.