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HAProxy Technologies is proud to unveil the 2.7 release of HAProxy Data Plane API. This release was a huge undertaking, and as with the 2.6 release, we focused on extending support for configuration keywords. We are happy to announce that with this release we support all HAProxy configuration keywords in the Data Plane API. Along with enhanced keyword coverage, we’ve added the ability to specify multiple named defaults sections through the API.

GitLab CI is a powerful tool for managing the software development and deployment process. It allows you to define and automate build, test, and deployment pipelines and provides features such as version control, collaboration, and continuous integration. However, while GitLab CI is an excellent tool for managing a single environment, it can have some limitations when it comes to managing multiple environments, especially dynamic environments.

The start of a new year often includes reflecting on what you accomplished over the past year and setting new goals for the year ahead. In 2022, BigPanda set big goals to help organizations prevent and resolve IT and service outages through our innovative Incident Intelligence and Automation platform, powered by AIOps. On average, our customers sent us 2.3 billion events and changes per month, with our largest customers by volume sending us approximately 165 million events each.

Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?

Monitoring the performance of an application is not a strange concept to most developers. At one point or another, we’ve all had to do some performance debugging of our own. Usually, it happens when there’s a big issue affecting the user’s experience or cost implications. Only then do we make time to look at how the app performs in different scenarios.

Table of Contents When an application written for the Java Virtual Machine is running, it constantly creates new objects and puts them on the heap. Well, at least in the vast majority of the cases. Such objects can have a longer or shorter life, but at some point, they stopped being referenced from the code. Unlike languages like C/C++, we don’t have exact control over when the memory will be freed – freeing the memory is the garbage collector’s job.