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.

The news is filled with buzz about how companies approach AI. As a result, many organizations are trying to identify how AI can effectively support their business goals. There seem to be infinite use cases, but finding those that add the most value is often the first challenge. In the ITOps environment, generative AI copilots can effectively improve team efficiency, share knowledge, and support day-to-day tasks to deliver immediate value.

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.

Java is a popular programming language, developed almost 30 years ago by Sun Microsystems, based on the main theory of ‘write once, run anywhere’ (WORA). Due to Java having been around for a long time, numerous learning resources are available for new developers which further adds to its popularity. Also, Java code can operate on any underlying platform like Windows, Linux, iOS, or Android without rewriting.

Managing Docker container logs is essential for debugging and monitoring application performance. Tailoring Docker logs allows for real-time insights, quick issue resolution, and optimized performance. This guide focuses on efficient methods for tailing Docker logs, with clear examples and command options to streamline log management.

Decreasing response time is one of the key measures towards improving the user experience of an application. Caching techniques and other practices can help your.NET application perform well with low effort. With caching, you can keep frequently accessed delay-prone data in a fast, accessible location. This can improve your application's performance remarkably without making a big effort. In this post, I'll introduce a few different ways of implementing caching in ASP.NET Core.

APIs are the hidden heroes of our digital world. They are invisible to many customer experiences. As a result, it can be difficult to think of monitoring or testing them with a customer-focused lens. In this blog post, we hope to remove this difficulty and shine a light on the different ways Internet Performance Monitoring (IPM) can approach various API testing use cases with an eye on ensuring reliable, resilient experiences.

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 more and more applications are delivered daily, it’s becoming increasingly difficult for teams to onboard and manage them manually. To keep up with this demand, many teams are embracing automation in application delivery and management, with Kubernetes being a popular tool of choice. While Kubernetes’ scalability helps manage application infrastructure sprawl, there is still a need to collect data from the applications directly and from Kubernetes to monitor the growing beast itself!

With over 8 billion smartphones in use, predominantly running Android, how do you efficiently manage and analyze the flood of real-time data generated by apps, games, and other services? Whether it’s tracking user interactions, monitoring health metrics, or managing IoT devices, handling this data can be overwhelming.