Operations | Monitoring | ITSM | DevOps | Cloud

Analytics are great. We can all agree there. But not all analytics are created equal. FireHydrant has long offered incident analytics dashboards that provide an in-depth look at the entire incident lifecycle. You can see how incidents impact services and teams, understand retrospective participation and completion, and even get insight into follow-ups. But great analytics do more than simply organize data. They help you tell a story.

At Qovery, we build our frontend using Nx and rely on the official nrwl/ci GitHub Actions. Our frontend requires third-party tokens during compile time, but we would like to avoid hardcoding them or using the.env file to define our tokens. The latter exposes our source code directly on GitHub, and even though it's not sensitive data, we don't want it to be easily scraped.

Level up supply chain security and package management for your organizations Erlang and Elixir teams with Cloudsmith's Private Hex Repositories.

In an insightful Galileo webinar interview, industry analyst Charles Araujo delved into the world of FinOps, shedding light on its significance and practical implications for IT operations professionals. As organizations increasingly grapple with the complexities of cloud computing and strive to optimize their financial management practices, understanding the core principles becomes essential.

In Agile development, where development is repeated in short periods, the key unit of the development cycle is called an iteration. Iterations, consisting of Design, Development, Testing, and Improvement are usually set for 1 to 4 weeks, and they are characterized by completing a full cycle of system development. After completing one cycle and releasing it, known as Iteration 1, the process is repeated with Iteration 2, Iteration 3, and so on.the.

Container orchestration, Kubernetes has emerged as a leading platform for managing and deploying containerized applications. One fundamental concept that plays a crucial role in ensuring optimal performance is the Quality of Service (QoS). In the realm of Kubernetes, this concept is applied at the level of Pods, forming the backbone of resource management within the cluster.