This article explains how EDAS enhances Spring Cloud Gateway by fixing memory‑leak issues, adding route‑validation, providing dynamic configuration, custom plugins, observability features, and step‑by‑step deployment instructions for Java‑based microservice environments.
This article examines why traffic loss occurs during Kubernetes application releases, breaks down the three main traffic paths—LoadBalancer Service, Nginx Ingress, and microservice registry—and offers concrete, cloud‑native configurations and lifecycle hooks to achieve loss‑free deployments.
This guide explains how to set up Alibaba Cloud's MSE Cloud‑Native Gateway, replace traditional multi‑layer gateway architectures, and use it with EDAS to achieve full‑link gray deployments through step‑by‑step configuration, service import, routing, and verification.
This article explains how to scale Kubernetes clusters and applications using tools like Cluster Autoscaler, Virtual Kubelet, HPA, VPA, and especially KEDA, while showcasing Alibaba Cloud EDAS's integration and future AI‑driven autoscaling enhancements.
This article explains the concepts of vertical and horizontal elastic scaling, explores how Spring Cloud and Kubernetes native features like HPA and KEDA enable precise scaling, and presents EDAS‑based optimizations for rule triggering, instance scheduling, and serverless Kubernetes deployments.
This article explains practical methods for rolling back Spring Cloud applications on Kubernetes, covering configuration, code, and workload rollbacks, using EDAS features, Kubernetes commands, ACM, Flagger, and the Open Application Model to minimize user impact.
When a cloud‑deployed application behaves unexpectedly, this guide shows how to use Alibaba EDAS’s cloud‑native debugging tool to enable local‑to‑cloud integration, configure a remote‑accessible Kubernetes node, set up the IDE plugin, and run your service for seamless debugging without costly redeployments.
This guide explains how to safely upgrade Spring Cloud microservices on an EDAS‑managed Kubernetes cluster using canary (gray) releases, covering configuration of batch deployment, traffic routing rules, content‑based and ratio‑based gray policies, monitoring, and rollback procedures.
EDAS offers a comprehensive deployment toolkit—including IDE plugins, Maven integration, Jenkins CI/CD, Terraform orchestration, and a powerful CLI—designed for developers and ops teams to quickly and safely deploy Java applications to ECS or Kubernetes clusters while enforcing namespace controls and change‑management best practices.
This guide walks developers through creating an Alibaba Cloud ACK Kubernetes cluster, importing it into EDAS, initializing a cloud‑native Spring Cloud application, choosing the appropriate runtime, and deploying the app directly from an IDE plugin for fast, efficient releases.
This article explains how to split a classic layered architecture into microservices using Domain‑Driven Design, shares real‑world HSF/EDAS case studies, discusses deployment, operation, performance, and common microservice patterns, and offers practical best‑practice recommendations.
