Operations | Monitoring | ITSM | DevOps | Cloud

Tales From the Trench: Building With LLMs and Honeycomb

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

Adaptive alerting: faster, better insights with the new metrics forecasting UI in Grafana Cloud

In Grafana Cloud, we offer a range of AI capabilities to support your observability needs, including a feature for forecasting on any of your metrics and coupling it with Grafana Alerting. This is critical functionality if you want to make the switch from reactive to proactive alerting, as troubleshooting a problem before it arises is an important part of modern observability.

Kubernetes CPU Limit: How to Set and Optimize Usage

Kubernetes makes it easy to scale applications. But when it comes to CPU resource management, a poorly tuned cluster can quickly become unstable or inefficient. For network engineers, setting CPU requests and limits correctly—and understanding the deeper implications—is essential for keeping workloads efficient, costs predictable, and noisy neighbors in check.

Top Log Management Tools 2025

In a perfect world, log anomalies would speak clearly and never at 2 a.m. But in reality, log data is massive, alerts can be cryptic, and critical issues often get buried in the noise. That’s why choosing the right log management tool is crucial, it’s the first line of defense against downtime, breaches, and costly oversights. This blog breaks down some of the top log management tools on the market, what they do well, where they stand out, and how they fit into your stack.

Introducing Sentry's Flutter SDK 9.0 - Logs, Session Replay, Feature Flags, and more

If you've ever had to debug a Flutter app after an error report that just says “Null check operator used on a null value,” you already know: context is everything. And context can be hard to come by when you’re juggling native code, Dart, async stack traces, and platform channels. With v9 of our Flutter SDK, we’re introducing some features to help you get even more visibility into what’s going wrong, with the insights to make it better. Here’s what’s new.

ilert introduces Agentic Incident Response: Entering the AI-first era

Imagine incidents resolved through insights, not manual investigations. ‍ Picture an incident management future where you're never alone during critical alerts. Imagine your best engineer always available, tirelessly investigating issues, analyzing logs, correlating metrics, checking recent code changes, and delivering actionable insights, instantly. Today, ilert is stepping boldly into this future with our first intelligent agent: ilert Responder.

PagerDuty Advance and Amazon Q Business announce General Availability of their AI-powered, chat-first integration

When it comes to incident management, the ability to quickly access and act on operational data can mean the difference between brand loyalty and costly downtime. PagerDuty’s integration with the Amazon Q Business index addresses this challenge head-on by providing a seamless, more secure, and faster way to search and access enterprise knowledge across the IT ecosystem.

Understanding Vulnerability and Patch Management Challenges #shorts

Understanding Vulnerability and Patch Management Challenges Vulnerability and patch management often face challenges due to persistent false findings. OS updates can create missed maintenance windows, leaving systems exposed. Applying cumulative updates correctly can help resolve these issues. However, systems may still show as up to date while harboring vulnerabilities due to misidentified software. A notable example is a Java vulnerability that continues to exist despite updates, as it is part of a custom solution.

Maximizing Patch Deployment with Ring Strategies #shorts

Maximizing Patch Deployment with Ring Strategies Ring deployment enhances automation for patch management by allowing control over individual testing and production rings. Engaging end users is essential to evaluate the impact of patches after the initial deployment. While patches may lead to immediate failures or delayed issues, user feedback is often overlooked. This feedback is vital for deciding whether to proceed to the next deployment ring, focusing on balancing security and productivity.

2025 - The Year of Data Repatriation

For many businesses, 2020 marked the dawn of the cloud-first era, with organisations around the world embracing public cloud. And it made sense at the time; promise of reduced infrastructure costs, flexibility and scalability meant that leveraging cloud services was a no-brainer. But with any new technology, the shifting tides that come along with its proliferation also informs the cyclical nature of its adoption.