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

Top Kubernetes interview questions of 2026: A beginners guide

Having been around for a decade, the world's most popular container orchestrator has set a standard for how we run containers at scale. According to the CNCF, cloud-native adoption has reached 98% across organizations, showing that Kubernetes adoption is not slowing down. Whether you are looking to land your first kubernetes role or you are experienced and are looking to brush up on your knowledge, we’ve put together the top questions to learn more about Kubernetes.

Perspectives from the Edge: Data Sovereignty with KPMG

Data sovereignty isn’t a checkbox – it’s now a board-level priority. Data sovereignty is everywhere right now, but for many organisations, it still feels abstract. In this first episode of Perspectives from the Edge, Assad Noori, Head of Digital Infrastructure Advisory for the UK at KPMG, speaks with Pulsant's Wendy Shearer, about why sovereignty has become a board-level issue, how AI and hybrid infrastructure are reshaping long-held assumptions, and why decisions about where data lives, moves, and is accessed now carry far wider implications than most organisations expect.

Why Monitoring Matters for Modern Hosting Platforms

With all the discussion in the dev community lately about changes made at Heroku, we wanted to use this moment to talk about PaaS (Platform as a Service) providers and how AppSignal can be a vital tool to ensure you're using your app's hosts for everything from optimal performance to lower usage bills.

What is RDMA?

Modern data centres are hitting a wall that faster CPUs alone cannot fix. As workloads scale out and latency budgets shrink, the impact of moving data between servers is starting to become the most significant factor in overall performance. Remote Direct Memory Access, or RDMA, is one of the technologies reshaping how that data moves, and it forces a rethink of some long-held assumptions in data centre networking. This article is the first in a short series.

Why my Azure bill keeps spiking (and how to fix it)

Noticed a sudden spike in your Azure bill? Unexpected Azure cost increases are often caused by hidden usage, overprovisioned resources, scaling changes, or limited cost visibility. In this video, we explain why Azure costs spike, how to identify Azure cost anomalies early, and what steps you can take to prevent budget surprises. Take control of your Azure spend with smarter, proactive cost management.

What "Open Source" actually means in 2026

What does "Open Source" really mean in the age of AI? In the conclusion of her session at Civo Navigate India, OpenUK CEO Amanda Brock shares a fundamental truth for the global tech community. True openness is not about being local; it's about global collaboration and ensuring that technology is accessible for any purpose, without friction. As we build the next decade of innovation, the goal is to build better, together, across the planet.

Top Continuous Integration Metrics Every Platform Engineering Leader Should Track | Harness Blog

Track build duration, queue time, success rate, and cost per build to directly improve developer productivity, control costs, and enhance delivery reliability. Standardize pipeline metadata and automate metric collection to turn raw CI data into actionable insights across teams, services, and cost centers. Pair metrics with intelligent caching, optimized testing, and build acceleration to reduce build times and operational costs while maintaining security standards.

Unit Testing in CI/CD: How to Accelerate Builds Without Sacrificing Quality | Harness Blog

Smart test selection, parallel test runs, and intelligent caching can all speed up builds without sacrificing code quality. Fast, focused, and separate unit tests are very important for quick development. They give you feedback right away and make it easier to refactor with confidence. Unit tests are a quick and cheap way to find logic errors, but they can't check how different parts work together. For full coverage, use them with integration tests and end-to-end tests.

We Measured AI Impact for 12 Months. Here's What Actually Happened.

When we rolled out AI coding tools across our engineering team, the first few weeks felt great. Developers were enthusiastic. Acceptance rates looked healthy. Everyone said they felt more productive. Then my CEO asked me a simple question: “Is it working?” And I realized I didn’t have a good answer. Feeling productive and being productive are not the same thing.