Operations | Monitoring | ITSM | DevOps | Cloud

This tutorial shows how to use GitHub Copilot with the Puppet Model Context Protocol (MCP) server to generate, validate, and refine a Puppet module—even if you’re new to Puppet development.

CertKit is officially out of beta. We started building CertKit a year ago, and since then over 600 people signed up, issued certificates, and deployed to their infrastructure. Several are running it as their production certificate management platform right now. We built a lot during the beta. Some of it we planned: SSO, team management, alerting. Other things, users had to beat into us. The Keystore came from enterprise security requirements to keep private keys in house.

I worked in observability for years, and the same pattern showed up across teams. An alert fired, the on-call rotation scrambled, and everyone did what they had to do to stabilize production. Then came the retrospective. Once the immediate pressure was gone, the conversation shifted to one question: how do we make sure this never happens again? My friend Jade Rubick coined a name for that principle: DRI, “don’t repeat the incident”.

We are excited to announce the latest release of SecureBridge, EntityDAC, and the full family of dbExpress drivers. This update delivers expanded IDE compatibility, support for the latest database versions, new security components, and platform improvements that benefit developers across the Delphi and Lazarus ecosystem.

The word “Trillion” never fails to set the tech world on fire. Foundation Capital’s Jaya Gupta and Ashu Garg are two of the most recent firestarters. Late in December, they co-wrote “AI’s trillion-dollar opportunity: Context graphs,” outlining how AI will transition from organizational knowledge to organizational comprehension.

Quick answer: A cloud cost optimization framework is a structured, repeatable system for managing cloud spend across people, processes, and tools. It defines how teams gain cost visibility, allocate spend to the right owners, optimize resources and rates, and measure whether spend is generating business value. The FinOps Foundation organizes this around three phases: Inform, Optimize, and Operate — and the Crawl, Walk, Run maturity model maps directly to how organizations progress through them.

‍Why 90% of AI prototypes never make it to production, and what to do about it. Every week, someone on my team shows me a demo that looks incredible. An agent that writes deployment pipelines. A chatbot that triages incidents. A copilot that generates test cases from Jira tickets. The demo takes 20 minutes. The audience claps. Everyone leaves convinced we're six weeks from shipping it. We're not.

If DevOps teams mix up the roles of Ansible and Terraform, deployment pipelines can become unreliable. Manual handoffs slow down changes, and audits may find gaps where responsibilities overlap. Each tool solves different problems, so using them correctly avoids delays and compliance risks. Are you dealing with scattered provisioning and configuration workflows?

Innovation is moving faster than ever, but software delivery has become the ultimate chokepoint. While AI coding assistants have flooded our repositories with an unprecedented volume of code, the teams responsible for actually delivering that code, our Platform and DevOps engineers, are often left drowning in manual toil. If you’re managing Argo CD at an enterprise scale, you’re painfully familiar with the "Day 2" reality.