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Building a Privacy-First AI for Incident Management

At Rootly, we're integrating AI into incident management with a keen eye on privacy. It's not just about tapping into AI's potential; it's about ensuring we respect and protect our customers’ privacy and sensitive data. Here's a quick overview of how we're blending innovation with strong privacy commitments.

New MTTX analytics to drive your reliability roadmap

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.

GitHub Variables and Nx Reusable Workflows

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.

Codefresh in the Wild: Building draw.io

This article is part of our series “Codefresh in the Wild” which shows how we picked public open-source projects and deployed them to Kubernetes with our own pipelines. This week’s pick is draw.io an online application for drawing different types of diagrams. We will use several tools such as GitHub, Docker, Helm Codefresh, Argo Rollouts, Argo CD. This guide chronicles how we integrated all those tools together in order to build an end-to-end Kubernetes deployment workflow.

Codefresh in the Wild: building Starbase-80

This article is part of our series “Codefresh in the Wild” which shows how we picked public open-source projects and deployed them to Kubernetes with our own pipelines. This week’s pick is starbase-80, a Kubernetes “homepage” application. We will use various tools such as GitHub, Docker, AWS, Codefresh, Argo CD, Terraform. This article chronicles how we integrated all those tools together in order to build an end-to-end deployment workflow.

FinOps: A Basic Guide to Optimizing IT Financial Management

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.

What is iteration?

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.

What is Kubernetes Pod QoS?

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.