Kubernetes, often abbreviated as K8s, is a powerful container orchestration platform that has revolutionized the way modern applications are developed, deployed, and managed. At its core, Kubernetes relies on several conceptual pillars that form the foundation of its design and functionality. Let’s delve into these fundamental principles that underpin Kubernetes.

Amid all the activity and excitement at KubeCon and ArgoCon 2023 – including some exciting news of our own – the CNCF released the results of a new micro survey assessing trends in GitOps adoption. There’s a lot of great data tucked inside, and worth the read to find out what peers across the industry are saying about GitOps usage in their organizations.

Absolutely, diving into the stages of a Continuous Integration/Continuous Deployment (CI/CD) pipeline can shed light on the software development process’s efficiency. Let’s break it down into stages.

Test-driven development (TDD) is a software development process that involves writing tests for your code before you write the code. This approach has transformed the development methodology around testing. While the traditional waterfall model of software development was linear, with testing occurring near the end of one long timeline, TDD makes testing an ongoing, iterative process.

Here we are getting started with GIT. We will begin by explaining some background on version control, then move on to how to work on Git on your system and finally how to set up to start working with GIT. By the end you should understand why Git is important for DevOps engineers, and why you should use it.

Cloudsmith announces expanded support for System for Cross-domain Identity Management (SCIM) for user management and enhanced software supply chain security.

Last month, we announced our new GitOps Environment dashboard that finally allows you to promote Argo CD applications easily between different environments.

Prompt engineering is the practice of crafting input queries or instructions to elicit more accurate and desirable outputs from large language models (LLMs). It is a crucial skill for working with artificial intelligence (AI) applications, helping developers achieve better results from language models. Prompt engineering involves strategically shaping input prompts, exploring the nuances of language, and experimenting with diverse prompts to fine-tune model output and address potential biases.

In the dynamic realm of container orchestration, Kubernetes stands tall as the go-to platform for managing and deploying containerized applications. However, as the complexity of applications and infrastructure grows, so does the challenge of efficiently managing configuration files. Enter Kustomize, a powerful tool designed to simplify and streamline Kubernetes configuration management.

From AI to OTel, 2023 was a transformative year for open source observability. While the advancements we made in open source observability will be a catalyst for our continued work in 2024, there is even more innovation on the horizon. We asked seven Grafanistas to share their predictions for which observability trends are on their “In” list for 2024. Here’s what they had to say.