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

Why database ownership is so fragmented in 2026 - and what you can do about it

In today’s cloud-driven, multi-platform environments, answering the simple question - who owns that database? - is no longer straightforward. As teams adopt open-source tools and spin up cloud services on demand, ownership is becoming fragmented across development, operations, and data teams. This shift is accelerating innovation but also creating new challenges in visibility, control, and accountability, as Grant Fritchey explains.

What is sovereign AI, and why does it matter for your business?

With AI reshaping every corner of the modern business, the highest-value workloads are often locked behind complex regulatory frameworks. Yet many organizations are still running them on infrastructure they don't fully control, trusting external platforms to decide where their data lives, where workloads run, and how their AI operates. Civo was built to change that.

How a Marketing Intern Ended Up Running Claude in a Terminal

Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.

Introducing Chunk sidecars: Inner loop validation that keeps up with your agents

Local development and remote validation were always meant to work together: developers iterate on their machine, run a few manual checks, then push to CI to clear code for production. But AI development broke that balance, flooding CI with a volume of commits no developer has read, let alone tested. Chunk sidecars restore the balance: lightweight, preconfigured environments that run alongside your local workflow and validate changes as they happen.

What kind of correlations become impossible without depth and breadth?

Most teams don’t have a data problem. They have a correlation problem. When visibility is fragmented:→ Marketing sees conversion drop→ Engineering sees API latency So the wrong call gets made. Example: Checkout drops → pricing gets blamed → discounts applied. Reality: a backend API timeout was killing transactions. That’s what happens when you can’t connect: user impact (what) to system behavior (why)

Rovo makes AI-native teamwork real for the enterprise

AI-native teamwork is here. With your team's context connected via the Teamwork Graph, Rovo moves beyond “answer this” to “take this on” with: Max mode in Rovo Chat that completes complex tasks autonomously (coming soon!) The new, unified builder experience in Rovo Studio is now generally available to put your AI to work. Teamwork Graph-powered agents are now available across your entire stack. New enterprise-grade controls to manage and secure agents at scale.

Feature-Based Pricing: A Guide To Per Feature Pricing in SaaS

Feature pricing or per-feature pricing is a common SaaS pricing model for good reasons. Here’s how it works, including real examples and how to do it. The best pricing strategy for your SaaS business will depend on your specific business model, target market, and competition. You’ll also want to test different pricing strategies to see which one works best for you. That said, feature-based pricing can be a very profitable way to price SaaS products. Here’s how it works.

Introducing Megaport DDoS Protection: Built-In Network Resilience for Megaport Internet

This fabric-native shield delivers private, professional-grade resilience that is easily added via the Megaport Portal in under 60 seconds. Megaport is evolving the connection. With the launch of Megaport DDoS Protection, we are securing the mission-critical Megaport Internet connection by filtering out malicious traffic before it ever reaches your platform.