As a CIO or IT leader, the need for speed and efficiency is always in tension with governance and compliance requirements. Sounds all too familiar – the frustration of slow incident resolution, outdated ownership records and resistance from engineering teams. You’ve sunk significant time and effort into implementing your ITSM platforms (such as ServiceNow), yet you struggle with buy-in and adoption from engineering teams. They can’t afford to be throttled any further.

In today’s fast-paced development landscape, environments are no longer simple or isolated. You’re managing resources that span across development stages, geographies, and technologies. And as those environments grow more complex, so does the need for a more logical and efficient way to manage them.

As part of our strategy to build for scale, security, and performance, Bitbucket Cloud is continuing to deliver features that help enterprise teams operate at scale to build world-class software. We've made a lot of progress this year with new features across code review and CI/CD. We've added AI functionality, added features to help you scale your CI/CD workflows, and integrated with Forge, our cloud app development platform, to help you build customizations into Bitbucket to meet your specific needs.

Most companies prioritize developer productivity, yet inefficiencies continue to cost dev teams valuable time. In fact, Atlassian’s State of Developer Experience report reveals that nearly 70% of developers lose more than eight hours a week to workflow friction. Atlassian Solution Partners are uniquely positioned to address this challenge, and GitKraken’s new DevEx Advance Partner Program is designed to help them do exactly that.

HAProxy Data Plane API 3.0 is now available! The latest version is hosted on our GitHub releases page. This release follows the recent HAProxy 3.0 release and incorporates its changes, along with some improvements and changes specific to the API. HAProxy Data Plane 3.0 adds multiple breaking changes. We'll cover the impacts of these changes in detail to highlight how your implementation and usage of Data Plane API may be affected.

As developers we’re always on the lookout for ways to boost application performance and streamline the development process. Whether managing a Symfony application or any other modern PHP framework, to deploy quickly, efficiently, and with enhanced speed is the crucial goal we all want to achieve.

The AI revolution is transforming enterprises faster than you can say, “sudo apt-get install skynet.” According to McKinsey, 65% of organizations now regularly use generative AI, nearly doubling from last year. However, as developers rush to integrate AI into their products, the shift from AI proof-of-concept to production can feel like trying to assemble flat-box furniture in a hurricane.

In today’s fast-evolving technological landscape, the telecommunications sector faces both exciting opportunities and significant challenges. With the ongoing need to build, maintain, and upgrade digital communication infrastructures, Communication Service Providers (CSPs) are under pressure to make strategic decisions that will shape the future of connectivity.

While AWS offers significant benefits compared to traditional on-premise infrastructure, its inherent elasticity and scalability tend to create uncontrolled costs. AWS costs can be opaque and difficult to analyze, and without a system for identifying the source of costs and managing them, they can quickly undermine profit margins. However, several tools have emerged to help organizations manage and optimize their costs over the past few years.

Developer productivity is not just about writing code faster—it’s about creating efficient, self-service environments that minimize friction and reduce the time from development to deployment. In the context of Kubernetes clusters, enhancing productivity means leveraging the right tools and workflows to streamline development, reduce errors, and speed up feature releases. This guide explores the key strategies and tools that can significantly boost productivity in Kubernetes environments.