Learn how to deploy Java applications on Kubernetes using two methods: manual deployment with Docker and YAML manifests, or automated deployment with Devtron. This guide covers containerization, CI/CD pipelines, and Kubernetes configurations for scalable and reliable Java apps.
Explore Devtron's latest February updates designed to enhance productivity and visibility in Kubernetes workflows. Key improvements include enhanced build process analytics, bulk node management, a Docker version upgrade, a customizable hibernation patch, and improved workflow controls.
Learn how to deploy PHP-Laravel applications on Kubernetes using two methods: manual deployment with Docker and YAML manifests, or automated deployment with Devtron. This guide covers containerization, CI/CD pipelines, and Kubernetes configurations for scalable and reliable Laravel apps.
Learn how to containerize a C++ Application and deploy it to a Kubernetes cluster. You will learn to do this with Devtron as well as the manual process.
Learn how to deploy Go applications on Kubernetes with two approaches: automated deployment using Devtron and manual deployment with Docker and YAML manifests. This guide covers best practices for containerizing your app, managing resources, and ensuring seamless deployment.
This guide focuses on three critical Kubernetes errors that developers commonly face: Container CRASHLOOPBACKOFF issues (OOM Killed and CPU throttling), environment variables/secrets mount problems, and database connectivity issues. In this blog, we explore practical solutions for each issue.
Kubernetes CPU Manager enhances workload performance by allocating exclusive CPU cores to specific containers. This feature is crucial for latency-sensitive applications, providing predictable performance through CPU affinity and isolation while optimizing resource utilization across your cluster
Learn how CPU limits in Kubernetes cause throttling, wasted resources, and poor performance. Use CPU requests instead of limits for efficient resource utilization. Best practices like reserving CPU requests and allowing burstable workloads can improve performance and optimize cost efficiency.
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