Kubernetes
Kubernetes, AI, APIs, and YAML – A Future 2.0?
The future of Kubernetes is a hot topic in the cloud-native community, but a “Kubernetes 2.0” is not a reality yet. The Kubernetes project continues to evolve in a measured way, with ...
Open Source Tooling to Run Large Language Models Without GPUs Locally
The best way to prototype is to start by running the models locally. In this article, we will explore the various options available for running models locally, along with the trade-offs involved ...
Riding the Wave: A Mid-Year Look at CNCF Project Momentum
The latest mid-year snapshot from the Cloud Native Computing Foundation (CNCF), based on contributions from July 1, 2024, to July 1, 2025, confirms that Kubernetes remains firmly planted on the throne with ...
Curved Kubernetes: Microsoft Workload Orchestration in Azure Arc
Microsoft has confirmed the release and general availability of “workload orchestration” as a new service in Azure Arc, the company’s extension mechanism that enables Azure cloud management capabilities to work outside Azure ...
Mastering Reloader: Automating Kubernetes Restarts with Confidence
Reloader is the missing piece in your DevOps toolkit — bridging the gap between configuration changes and application readiness in real time ...
Unleashing the Power of Argo CD by Streamlining Kubernetes Deployments
There are many CD tools for Kubernetes on the market, but the popular ones include Argo CD, Flux CD, Jenkins X and GitHub Actions ...
Is Open Source KubeVirt Ready for Your VMs at Scale?
KubeVirt is designed for teams focused on DevOps that have or want to adopt Kubernetes — and also have virtual machine workloads that otherwise cannot be easily containerized without KubeVirt ...
Setting Up Scalable Monitoring With Prometheus, Grafana and Mimir on Kubernetes
A comprehensive and adaptable guide to setting up scalable monitoring with Prometheus, Grafana, and Mimir on Kubernetes ...
Advanced DevOps for AI: Continuous Delivery of Models Using Jenkins and Docker
Learn how to automate the continuous integration/continuous delivery (CI/CD) pipeline for machine learning (ML) models using Jenkins, Docker and Kubernetes ...
Evolving Kubernetes and GKE for Gen AI Inference
The combination of foundational improvements in open-source Kubernetes and powerful, managed solutions on GKE represents a significant leap forward for any organization working with generative AI ...
