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

From Chaos To Clarity: How Forcepoint Scaled FinOps Across The Organization

When Anthony Leung talks about FinOps, he’s speaking from operating at real scale — not theory. As VP of Engineering Platforms and Security Research at Forcepoint, he led a transformation that cut cloud spend in half while improving availability, and built a culture where engineers own their economics.

(Tech Talk) Shipping with Context Knowledge Graphs as the Backbone of AI-First Software Delivery

Knowledge graphs are essential to solving the context bottleneck in AI-First software delivery, which occurs because workflows, policies, and dependencies are siloed and invisible to AI agents. In this Tech Talk, Prateek Mittal ((Product Director of AI Core and Data Platform at Harness)) discusses the key concepts: Knowledge Graphs vs. Observability: Observability tells you "what is happening," while knowledge graphs tell you "what does that mean" by modeling structured relationships. They work together to link live signals to affected services or SLAs.

Introducing Harness Artifact Registry | Unified. Secure. Built for the Future Artifact Management

Managing build artifacts today is harder than it should be. Fragmented tools, security blind spots, and disconnected developer workflows make it difficult to keep builds safe, consistent, and production-ready. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness Artifact Registry unifies artifact management across the entire software delivery lifecycle — from creation to deployment — while improving security and developer experience.

Top 9 Observability Tools for AI-Assisted Development & Deployment

AI-assisted development is rapidly becoming the default way software is built. Code generation, AI copilots, agentic pull requests, and automated refactoring are now embedded directly into engineering workflows. While this shift dramatically increases delivery speed, it also introduces a new operational reality: production systems are changing faster than humans can fully reason about them. This is where observability becomes mission-critical.

What AI Has Never Seen: The Context Gap in Code Generation

Your AI coding assistant has read the entire internet. It knows every programming language, every framework, every best practice documented in Stack Overflow answers and GitHub repositories. It can generate a REST API handler in seconds that looks perfect with clean code, proper error handling, following all the patterns. But here’s what it’s never seen: your production traffic. Data from a real API request. Someone filling out a form with messed up or incomplete data.

Qwiet AI Is Now Harness SAST and SCA | Harness Blog

Modern application security is struggling to keep up with AI-driven development and cloud-native scale, especially when security feels bolted onto CI/CD instead of built in. Harness SAST and SCA bring AI-powered application security testing natively into the Harness platform, reducing noise and alert fatigue. By identifying only vulnerabilities that are actually reachable in production code, teams get findings they can trust and act on faster.

The economics of a sovereign cloud

The BCG recently released a report on the cost of cloud. The findings? Hyperscalers are charging up to 30% more for their sovereign-cloud offerings. It supports an earlier notion that if you want control, compliance, and jurisdictional certainty, you have to pay a premium. At Civo, we think that is broken. As data volumes grow and AI workloads become central to business strategy, the economics of cloud computing are being re-examined.

How Civo is building the "cloud the way you want it"

As we move through 2026, the global cloud landscape is being reshaped by the drive for digital independence first discussed at Civo Navigate India 2025. This keynote featuring Mark Boost, Dinesh Majrekar, Josh Mesout, and Ben Norris laid the groundwork for a future where organizations no longer have to choose between the scale of the public cloud and the security of a private environment.