Operations | Monitoring | ITSM | DevOps | Cloud

AI has become a massive investment for companies. Engineering teams across industries are integrating AI into their products, whether it’s through homegrown, self-managed models or third-party model integrations. But no matter how much AI shifts the user experience, it’s still an application, which means your engineering team still needs to operate it and keep it reliable. At the same time, AI applications add complexity and complications that require a shift in your approach.

All applications need some form of testing, whether frontend, backend, stress testing, or any other. Playwright can help. Playwright is an end-to-end testing framework for web applications, supporting cross-browser testing (Chromium, Firefox, WebKit) from a single API. Its built-in test runner (Playwright Test) provides hook functions to manage set-up and tear-down logic around your tests.

Large Language Models (LLMs) are becoming increasingly accessible, with regular adoption of open-source models and the growing ecosystem of tools for running them locally. Compact versions are now able to run on consumer-grade hardware, so developers are using LLMs on personal devices like Linux workstations, macOS laptops, or even Windows machines. As this trend grows, so does the need to ensure that your LLM-powered applications run reliably across all major operating systems.

We’re excited to announce that Bitbucket Cloud is introducing two powerful new features in Bitbucket Pipelines: Concurrency Groups and Environments. These enhancements are part of a broader initiative to make the Deployments functionality more flexible and user-friendly by breaking down its current monolithic structure into smaller, more granular capabilities that you can control directly.

There is a huge amount of hype around AI. Companies are growing faster than ever, IT budgets are being redirected, and product roadmaps everywhere are being redrawn. There is no doubt LLM’s are a transformative technology. At the same time, as with any early technology cycle we are far from understanding the patterns of success. And for sure, mis-steps and bad takes abound.

Tableau database connectors are changing the narrative of how to work with data from your dashboard. A few years ago, the ability to pull data from almost any source, including your company’s internal database or even a web API, and immediately convert it into powerful, interactive dashboards sounded too good to be true. Today, with Tableau database connectors, you can pull data from virtually any data source and convert it instantly into a powerful dashboard.

AWS remains the largest cloud service provider (CSP) of the 21st century. It also provides over 240 cloud-based products and services. In some cases, these services help customers like you collect, analyze, and act on data about cloud usage and related costs. In this post, we explore how AWS services support FinOps’ best practices, including the features they offer. If you are looking for even more robust AWS FinOps tools, we will also include third-party platforms.

GitLens 17.2 is here with a comprehensive set of improvements designed to enhance how you work with Git. This release introduces Commit Composer – AI-powered commit organization, refines the Home View experience based on your feedback, expands AI model support, and delivers enterprise-grade security controls for teams using AI features. Let’s explore what’s new and how these features can improve your development workflow.