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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

What is alert fatigue? (And how does it happen)

Alert fatigue doesn’t announce itself. It builds quietly over weeks and months until one day a critical incident triggers and nobody responds with the urgency it deserves. By that point, the damage is already done. This guide walks through what alert fatigue actually is, how it happens, and what you can do about it.

A Guide to 400G Connectivity

Ready to scale beyond 100G? Learn why 400G is on the rise, when to use it, and how to deploy it. Network traffic is growing exponentially. Cloud adoption, AI, large-scale data replication, video streaming, and generative applications are all drivers, and enterprises with traditional connectivity setups may find themselves struggling to keep up. Enter 400-gigabit Ethernet (400G): a high-capacity, scalable networking standard that enables you to build faster and more cost-efficient networks at scale.

What is an ASN? Understanding the backbone of the Internet

Using the internet often feels effortless when clicking a link or joining a call, but behind that simplicity lies a highly structured system that ensures data moves efficiently across the globe. One of the key building blocks of this system is the Autonomous System Number (ASN).

Harness Lives Inside Cursor Now - Plus Everything Else That Shipped in April

April was a big month at Harness. AI is changing how code gets written — and the rest of the SDLC is catching up. In this update, Dewan Ahmed walks through Harness product releases across three themes: AI in the developer workflow, security and governance for AI assets, and self-service maturity for developers and platform teams. What's covered (with timestamps): Found this useful? Subscribe for monthly product updates, and drop a comment telling us which release you want a deep dive on next.

Learn these 4 Chaos Engineering Principles Before You Break Anything | Resilience Testing | Harness

Want to start chaos engineering? Don't randomly break stuff and hope for the best. Real chaos engineering starts with defining your system's steady state metrics like latency, throughput, and error rates. Then you form a clear hypothesis about what should happen when failures occur. Next, you inject controlled failures, starting small with single pod kills or network drops, not production meltdowns. Finally, you limit the blast radius by running experiments in safe environments first.

NVIDIA DCGM Collector: Deep GPU Monitoring for Data Center and AI Infrastructure

GPU infrastructure is expensive and increasingly central to production workloads. Whether you’re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what’s going wrong when performance degrades, is not optional.

How to Choose GitFlow vs Trunk-Based in 7 Steps (2026)

Merge conflicts waste hours of development time every week. The Git branching strategy you pick directly shapes how often these conflicts appear and how painful they are to fix. GitKraken simplifies conflict resolution with visual tools that help you spot problems before they become blockers. This guide walks you through a step-by-step decision process for selecting between GitFlow and trunk-based development.

GitLens vs VS Code Git Graph: Setup & Productivity

Picking the right VS Code Git extension can shape how you move through your codebase every day. GitLens and Git Graph both add visual Git tools to your editor, but they take different paths to get there. GitLens gives you deep context about every line of code – who wrote it, when, and why. Git Graph focuses on visualizing your commit history in a branching timeline. This article breaks down each extension so you can decide which one fits your workflow.