Operations | Monitoring | ITSM | DevOps | Cloud

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

A Multidisciplinary Guide To Cloud Cost Intelligence

Cloud cost intelligence has moved beyond simple cost-cutting. Now, it’s about creating value. Cloud bills continue to rise, and workloads are becoming increasingly complex. Teams also need to understand what they’re spending, why, and how that spend ties to business results. FinOps has become the framework for bringing finance and engineering together. It’s helping teams manage costs, improve margins, and plan with confidence. But challenges remain.

Docker Daemon Logs: How to Find, Read, and Use Them

Sometimes Docker behaves in ways that catch you off guard—containers don’t start as expected, images pause during pull, or networking takes longer than usual to respond. In those moments, the Docker daemon logs are your best reference point. These logs capture exactly what the Docker engine is doing at any given time. They give you a running account of system state, performance signals, and events that help you understand what’s happening beneath the surface.

Software Asset Management system for Modern Businesses

Managing software has become one of the most pressing challenges for modern organizations. Licenses span SaaS subscriptions, on-premise tools, and hybrid deployments, each carrying costs and compliance risks. Without structured oversight, audits turn into costly disruptions and budgets bleed through unused applications. This is why asset management software for small business and enterprise platforms alike are gaining traction.

Recapping SEV0 San Francisco 2025

Earlier this week, we gathered in San Francisco for our second SEV0—almost a year after our very first event. SEV0 has always been about shining a light on the biggest challenges (and opportunities) in incident response. Last year, we were still talking about the fundamentals: blameless culture, strong processes, and lessons from the best in reliability. This year felt different. AI has moved from background noise to front and center in every conversation, every team, everywhere.

Node.js Monitoring in Serverless Environments - A Complete Guide

Serverless computing with Node.js is transforming how applications are built and scaled by removing the need to manage servers. However, serverless functions run for short durations and scale dynamically, making traditional monitoring ineffective. Effective monitoring is essential to track performance, detect errors, optimize cold starts, and control costs.

Automation Observability: See It, Fix It, Skip the Firefighting

IT leaders know the drill. An alert storm rolls in and the tickets pile up. Your team scrambles to piece together root causes before service degradation kicks in. But the firefighting rages on, even when you have enough dashboards, monitoring, and alerts to light up a Christmas tree. Enterprise leaders need to quit burning budget on shiny dashboards that look good in the boardroom but do nothing to stop outages in the real world.

The Unit Economics Of Watering My Lawn: A Lesson On Runaway AI Costs

My wife and I spent hours this summer at home digging in the dirt. We planted new shrubs and perennials and created a small vegetable garden. We spread many square yards of fresh topsoil and grass seed over areas of lawn that needed rejuvenation. It turns out, I should have done all that landscaping with a FinOps leader’s mindset — before my water bill tripled when I wasn’t looking.

How to boost observability ROI with continuous profiling and Grafana Drilldown

For the longest time, observability was centered around logs, metrics, and traces, but the growth of more complex systems has made continuous profiling another essential part of maintaining healthy systems. It provides insights into resource usage and latency down to the code level, delivering key insights to improve performance.