Ayaan is a DevOps Evangelist at Devtron, specializing in Kubernetes, Docker, CI/CD, and cloud-native tech. He shares insights through blogs, making complex concepts accessible to all.
Devtron's April updates include faster builds with parallel processing, bulk deployment of only active apps, enhanced notifications with commit details, real-time deployment monitoring, and multi-select resource browsing. These improvements boost efficiency & visibility in your Kubernetes workflows
Discover how to easily implement canary deployments in Kubernetes using Devtron. This guide walks you through implementing canary deployments in Kubernetes with Devtron, reducing deployment risks and ensuring smoother updates.
Explore how to implement blue-green deployments in Kubernetes using Devtron. Achieve zero-downtime releases and safer rollouts with minimal effort.
Discover how GitOps is reshaping the way applications are deployed compared to traditional CI/CD. Learn how Devtron simplifies modern delivery with automation, security, and seamless rollbacks.
Deploying a multi-service architecture with Java, Node.js, and Python on Kubernetes can be tricky. From containerization to networking and scaling, each service needs careful orchestration. Learn how to streamline deployments, optimize resources, and ensure seamless communication between services.
Deploying applications on Kubernetes in GCP is easier with the right approach. From setting up GKE to managing scaling, networking, and security, a few best practices can save time and effort. Learn how to deploy effectively and make the most of GCP’s Kubernetes services.
Managing Kubernetes deployments manually leads to drift, errors, and downtime. Argo CD automates deployment, keeps your clusters in sync with Git, and ensures every change is tracked, secure, and rollback-ready. Say goodbye to configuration headaches and embrace smooth GitOps deployment.
Learn why Kubernetes CI/CD pipelines break at scale and how to fix them. Discover strategies for tool consolidation, optimized deployments, and proper logging to create scalable pipelines that reduce overhead and boost developer productivity.
