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

From data management to an intelligent data fabric architecture

Large enterprises today manage more machine data than ever before. From legacy applications to modern, ERP and supply chain systems to cloud infrastructure, cybersecurity, and customer-facing applications, much of this valuable data remains trapped in silos, limiting its potential to drive faster decisions, strengthen resilience, and meet the demand for optimum service availability.

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.

FinOps Strategy for Hybrid IT: Interview with Tim Conley

FinOps continues to grow in importance as organizations balance cloud services with on-prem systems, legacy applications, and evolving business demands. Many teams want to manage their costs more effectively but are unsure how to apply a FinOps strategy for hybrid IT outside the cloud.

Mocking PostgreSQL the Easy Way: Simplifying Testing with Speedscale Proxymock

Every developer who’s worked with PostgreSQL knows the pain: testing against a real database slows everything down. You need the database running locally, loaded with the right data, and configured to match production as closely as possible. Every time you run a new test or build, you’re forced to repeat that setup migrate schemas, seed test data, and clean everything up again. It’s time-consuming, brittle, and hard to scale across a team.

How Much Did OpenAI's 30,000 CPU Core Optimization Save Them?

I admit I was a little skeptical going into KubeCon 2025. The last time I went, in 2022, it felt tactical. I heard lots of conversations around small solutions to small problems. Practical knowledge-sharing is of course beneficial, but I’m most inspired by the big picture — ideally, a picture bigger than you can see anywhere outside of your mind. I’m heartened to say that KubeCon 2025 was exactly that.

Understanding Kafka with Speedscale #speedscale #kafka #visualization #engineering #production

In this video, we're breaking down the complex world of Apache Kafka and showing you how to gain deep visibility into your event streaming architecture using Speedscale. Kafka is the backbone of modern, cloud-native systems, but understanding what's happening in production—which topics are receiving traffic, where messages are going, and how services are interacting can be a real challenge. We'll cover how Speedscale makes Kafka visualization and debugging simple by.

Free cloud credits: Why your architecture gets lazy and bloated

This is the uncomfortable truth about cloud credits: Short-term savings mask crippling long-term costs. Taken from our recent webinar, Civo CCO Simon Hansford and Canopy Founder James Marks expose the primary concerns of the credit model. Credits act as a dangerous incentive for architectural laziness. When cost isn't a factor, you stop designing for efficiency, leading to bloated, inefficient infrastructure and the inevitable bill shock.

Grateful for Good Connections: Finding Calm in a Demanding Financial World

As the year winds down, my inbox is overflowing with Black Friday offers and festive greetings. It’s that time when Thanksgiving and the run-up to December holidays remind us to pause and appreciate what truly matters. Yet, in my recent conversations with IT leaders in financial services, I’ve noticed something: the time and calm need to do this feels elusive.

Lessons from KubeCon: What "Best-of-Breed" AI SRE Really Requires

This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. Of course, it’s not a surprise. Teams from high-growth startups to Fortune 500s are running more complex, cloud-native systems, shipping more AI-generated code, and facing rising expectations. Downtime is absolutely not an option and the work for on-call SREs has become unsustainable. The question isn’t whether AI SRE helps. It’s which one you can trust in production.