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

Helping Businesses Manage Blocked Calls: How SIP 603+ improves transparency in troubleshooting Call Failures

Imagine pulling up to a gas pump, inserting your credit card, and having the display on the pump say “denied”. You call your credit card company, and they say, “Oh, we don’t know, maybe it’s the merchant’s fault, or the card reader is bad…, we can look into it and get back to you in a few weeks.” Most of us would be pretty upset with that response.

What is the Open Container Initiative?

In this video, we explain the Open Container Initiative (OCI) and how open, vendor-neutral standards make containers portable and interoperable across platforms, tools, and environments. We cover what OCI is, why OCI compliance matters, and how OCI defines the core building blocks of the container ecosystem: container images, runtimes, and distribution.

Architecting Trust: The Blueprint for a "Golden Standard" Software Supply Chain | Harness Blog

We’ve all seen it happen. A DevOps initiative starts with high energy, but two years later, you’re left with a sprawl of "fragile agile" pipelines. Every team has built their own bespoke scripts, security checks are inconsistent (or non-existent), and maintaining the system feels like playing whack-a-mole. This is where the industry is shifting from simple DevOps execution to Platform Engineering.

From Blueprint to Production: Building a Kubernetes MCP Server

As Large Language Models (LLMs) evolve from simple chatbots into agentic workflows, the need for a standardized way to connect them to external data and infrastructure has become critical. In a recent workshop hosted by Nir Adler, Innovation Engineer at Komodor, we explored how to bridge this gap using the Model Context Protocol (MCP).

Backstage Alternatives: IDP Options for Engineering Leaders | Harness Blog

Backstage alternatives fall into three real choices: build and own a framework, buy a fully managed IDP product, or choose a hybrid path that reduces maintenance but keeps Backstage at the core. The trade-off is not "free vs paid" but engineering headcount, governance maturity, time to value, and how actionable your portal is across CI/CD, IaC, and environments. The best commercial IDPs go beyond catalog and documentation.

Your Boss Doesn't Understand Your Work (Here's Why)

Developer productivity metrics create unique anxiety. If your company rolled out tracking systems like DORA metrics or velocity dashboards, you're probably wondering what these numbers mean and how they'll evaluate your work. At GitKon 2025, we assembled senior engineers from GitHub, Cloudflare, Kong, and GitKraken to discuss "Your Boss is Measuring You, Now What?" The panel included both individual contributors and engineering leaders, creating an honest conversation about measurement from both perspectives.

Why MCP is becoming part of your product surface

AI assistants are quickly becoming a primary interface for how people interact with software. Developers ask them how to integrate APIs. Users ask them how products work. Buyers ask them how tools compare. Increasingly, the first explanation someone receives about your product does not come from your website, your documentation, or your sales team. It comes from an AI assistant. That shift has an important consequence that many organizations are only starting to notice.

Why preview environments only work when the platform owns them

Deployments are one of the few moments where software development still feels risky. Teams may have tests, a staging environment, and careful review processes, yet the final step still carries uncertainty. Will this change behave the same way in production? Will it interact cleanly with existing data, traffic, and infrastructure? Will it introduce regressions no one anticipated? Preview environments exist to reduce that uncertainty.

Upsun's AI story: the 5% path from pilots to production value at scale

Here’s the uncomfortable truth: most companies do not have an AI problem. They have a delivery problem wearing an AI costume. MIT’s Project NANDA research has been widely cited for a brutal headline statistic: roughly 95% of corporate generative AI pilots fail to produce measurable business impact or returns, while only about 5% break through to meaningful outcomes. (Yahoo Finance) The models are impressive. The demos are dazzling. The budgets are real.

Intelligent FinOps: AI-Informed, AI-Enabled

AI is the new frontier for FinOps maturity. It introduces fresh spend patterns and new opportunities for value. As GPUs, inference, and retraining reshape costs, FinOps maturity grows through visibility, forecasting, and shared mindset about how these workloads drive business impact. In this 2025 post, I gave my guidelines for implementing AI tagging to give business context and clarity to vague AI invoices. Now, I’m sharing the next level up: how to drive FinOps in AI with AI.