Operations | Monitoring | ITSM | DevOps | Cloud

Recently, we introduced autonomous validation as a new approach to CI/CD that brings adaptive, context-aware intelligence into the delivery pipeline. As AI increases both the volume and reach of code changes, teams are seeing more failures, longer queues, and rising maintenance costs. Traditional pipelines simply weren’t built for this level of velocity or variability.

Development teams depend on microservices to build, deploy, and scale features independently. Microservices have become the backbone of modern, scalable applications. Scaleway’s managed Kubernetes service (Kubernetes Kapsule) offers a powerful, cost-effective platform for running containerized workloads in the cloud. It’s a great fit for startups and solo engineers who want to focus on shipping features, not managing infrastructure.

In my previous posts, we discussed the where and the how of managing your ML assets. We showed you how JFrog Artifactory acts as a powerful, universal model registry (the “where”) and how the FrogML SDK serves as the gateway to get your models and metadata into it (the “how”). Now, let’s talk about the why.

Imagine being able to automatically detect when a high-value order is placed, then log it and notify your sales team – without manually accessing your app code. Azure SQL Trigger Functions make this possible. By automating the response to database changes as they happen, you can streamline operations, sync data, and power workflows in near real-time. Azure SQL Triggers, especially when combined with serverless functions, offers a powerful, low-maintenance way to respond to real-time data changes.

AI coding assistants have transformed how developers write and debug code. But there’s a gap: these assistants often can’t see what’s happening in your CI/CD pipelines. When a build fails, you’re still stuck switching tabs, hunting through logs, and copying error messages back into your editor. What if your AI assistant could talk directly to CircleCI? In this tutorial, you’ll learn how to connect Cursor, an AI-powered code editor, to CircleCI using the CircleCI MCP server.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed, compliant Kubernetes service that simplifies running, managing, and scaling containerized applications. EKS automatically handles the availability and scalability of the Kubernetes control plane, allowing teams of any size or skill level to focus on building and deploying production-ready applications across diverse environments, including AWS, on-premises, and at the edge.

When building static websites with tools like Next.js, getting your content live should be just as seamless as writing it. But in practice, deployment can quickly become a manual chore, especially when testing, caching, and previews are involved. That’s why this guide shows you how to set up a CI/CD pipeline with CircleCI, Cloudflare Pages, and Wrangler. You will use the pipeline to deploy a static Next.js site only when your tests pass.

We’re excited to announce the general availability (GA) of Bitbucket Packages, a native container registry built into Bitbucket Cloud. With this launch, you can now manage your source code, CI/CD pipelines, and now, container images all within Bitbucket. This means less context switching, simplified permission management, and a more cost-effective way for your team to manage container artifacts.

We’re giving Bitbucket a fresh new look and more streamlined navigation as part of Atlassian’s broader visual system journey. Teams and workflows have improved, and Bitbucket is changing with them. Our goal is to make it faster to find your work, clearer to understand what’s happening, and more enjoyable to use every day—without disrupting what you already know and love. This update aligns Bitbucket with Atlassian’s modern, unified design, and will launch in early 2026.