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

Secure and Compliant DevOps in an AI-Enabled World

Apr 1, 2026 By Perforce Puppet In Puppet
Is Your DevOps Strategy Ready for the AI Era? AI is accelerating modern software delivery—but it’s also raising the stakes for security, compliance, and auditability. As AI-driven change increases, many organizations are discovering that incomplete DevOps practices are creating new risk. Based on insights from 800+ global IT professionals, the 2026 State of DevOps Report reveals why vendor‑backed, enterprise‑grade DevOps platforms are becoming critical for managing AI‑driven risk and meeting evolving regulatory demands.
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upsun

The reality check: why manual debugging setups are a hidden factory

Apr 1, 2026 By Upsun In Upsun
The first 70% of a debugging cycle is usually spent on "plumbing", the undocumented toil of syncing databases, matching service versions, and aligning networking to mimic a production failure. This manual setup is a hidden factory that consumes senior engineering capacity and delays recovery. True velocity is found by eliminating the infrastructure variables that make bugs hard to reproduce.
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cloudzero

How To Reduce Cloud Costs in 2026: Proven Strategies That Actually Work

Apr 1, 2026 By Lyne Carolyne In CloudZero
To reduce cloud costs, organizations need to address three root causes: over-provisioned resources, shared infrastructure without clear owners, and cloud bills that can’t be explained at the feature or customer level. The most effective programs combine rightsizing, commitment-based discounts, idle resource elimination, and unit economics — and deliver 20–30% reductions in monthly spend without impacting performance. CloudZero customers average 22% savings in year one.
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netdata

Node Groups: Organize Your Infrastructure Into Reusable Views

Apr 1, 2026 By Netdata Team In netdata
When you’re managing a handful of nodes, the flat list in the nodes tab works fine. When you’re managing hundreds or thousands, it becomes a wall of hostnames. You end up applying the same filters repeatedly: all the production database servers, all the nodes in eu-west, all the Kubernetes workers in the staging cluster. The filters work, but they don’t persist, and there’s no way to share them with the rest of your team. Node groups solve this.
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cloudzero

Open Source Cloud Cost Management Tools: OpenCost, Kubecost, and More

Apr 1, 2026 By Doug Bonderud In CloudZero
Open source software is an essential component of business operations. According to Harvard Business School, 96% of commercial software includes open source code. If companies were to build these tools from scratch, it would cost an estimated $8.8 trillion — roughly 3.5 times what companies currently spend on software. That’s not great for the bottom line. Many open source solutions are also available as standalone tools. Consider Kubernetes.
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#055 - From Enterprise Java to Kubernetes and AI-Driven Infrastructure with Dan Hicks (Boomi)

Apr 1, 2026 By Komodor In Komodor
Dan breaks down the fundamental similarities and stark differences between application development and platform engineering. He shares the unexpected hurdles he faced during his transition, from complex networking and CoreDNS latency to the harsh realities exposed by chaos testing in cloud environments.
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Sunbird

Why Are Leading Data Center Managers Expanding into IDF Closets?

Apr 1, 2026 By Sunbird In Sunbird
A growing number of data center managers are extending their DCIM deployments beyond the data center to cover remote IDF closets, telecom rooms, and other distributed sites. Organizations like the World Bank and Erie Insurance have already made the move, and the results include better asset visibility across the enterprise, more informed capacity planning, significant cost savings, and better collaboration across teams.
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Your Cloud Architecture Has a Personality - Mastering Cloud Cost Profiles & FinOps

Apr 1, 2026 By Turbo360 In Turbo360
Most teams treat cloud cost like something to clean up later. In reality, it is already baked into how your system behaves. Every workload has a personality. Some spike with concurrency. Some quietly run all day and never shut off. Some look efficient until scale hits and then costs accelerate. And some charge you every time they run, every query, every scan, every execution. This episode is about recognizing those patterns early. Once you understand how your architecture behaves under load and over time, you stop reacting to cost and start shaping it.
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