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

IA for AI: Rethinking How We Store, Surface, And Share Data In A Conversational World

Information architecture used to be about structure. We organized menus and pages into trees, built hierarchies, and created pathways for people to follow. For years, that worked. Navigation was the interface. But that world is changing. People aren’t clicking their way through information anymore. They’re asking for it. They’re refining questions, expecting context, and assuming that systems will not only understand what they mean, but act on it.

AI: Your (Not So) Secret Agent In Cloud Cost Control

Read a few articles on artificial intelligence and financial operations, and you’re bound to run across a sentence like this: AI enables FinOps teams to reduce TCO and boost ROI. Or one like this: The future of FinOps uses agentic AI-powered systems to detect and remediate cost issues automatically. Keep reading and you’ll find piece after piece that say a lot about AI and FinOps … without really saying anything.

Perspectives on turbulence part 1: Introducing new research from Pulsant

Since the publication of the inaugural AI Sector Study in 2022, the UK’s AI ecosystem has grown to include more than 5,800 companies – an 85% increase over the past two years. AI revenue is now £23.9 billion, and the sector employs more than 86,000 people. To put that in context, it’s bigger than the UK gambling sector – on both counts. Digital infrastructure is the foundation of this new economy.

Software Release Life Cycle Explained: From Planning to Production

Software doesn’t go live overnight. It moves through a structured, repeatable process known as the software release life cycle — from initial planning to deployment and ongoing maintenance. In this video, we break down each stage of the release cycle: planning, development, testing, staging, deployment, and monitoring. You’ll also see how modern tools like Harness help teams automate CI/CD, feature flags, testing, and progressive delivery to ship better software faster and with less risk.

What Is a T-Test? A/B Testing with Statistical Confidence

When running A/B tests, how do you know if the results are actually meaningful — or just random chance? That’s where the t-test comes in. In this video, we explain how t-tests help you evaluate whether changes in conversion rates, engagement, or performance metrics are statistically significant. You’ll learn how they work, when to use them, and why they’re essential for making confident product, marketing, and engineering decisions.

What Is Multivariate Testing? A Guide to Experimenting With Multiple Elements

A/B testing is great — but what if you want to optimize more than one thing at a time? That’s where multivariate testing (MVT) comes in. In this video, we break down how MVT works, why it gives you deeper insights than A/B testing, and how you can use it to test multiple page or app elements at once. You’ll learn how to run multivariate tests, when to use them over A/B tests, and how Harness makes this seamless inside your CI/CD pipeline.

How LEO satellite technology is transforming enterprise connectivity

How LEO satellite technology is transforming enterprise connectivity It’s not new to say that reliable, high-speed connectivity is critical for businesses. Yet even as global networks expand, many enterprises still face connectivity challenges, whether operating in remote industrial zones, across oceans or in developing regions with limited terrestrial infrastructure.

Drowning in Tickets? Your IT Service Desk Solution Might be Why

You hear that? It’s the unmistakable, terrifying flood of tickets rolling in! Password resets, VPN issues, access requests, and performance alerts. The numbers climb faster than the team can respond. You’ve added automation, new tools, even a chatbot or two, but the tide surges on. Here’s a plot twist: sometimes, your IT service desk solution isn’t solving the problem. Sometimes, it’s the thing keeping the problem alive.

Microsoft Sentinel Cost Optimization with Staged Routes and Commit Processors

As security data volumes grow, so do the costs of processing and storing them. Microsoft Sentinel and other SIEM platforms charge based on data ingestion, which makes every decision about normalization rules critical and every duplicate log a direct expense. Enterprise-scale security data pipelines face a persistent problem: data duplication across normalization tiers. As logs move through multiple transformation stages, it’s often impossible to know in advance which version will succeed.