Cloud Communications, Data Management, and Service Mesh

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Cloud Communications, Data Management, and Service Mesh

Coursera · Intermediate ·🏗️ Systems Design & Architecture ·1mo ago
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will gain hands-on experience in deploying and managing Kubernetes applications with Helm, mastering Cloud-Native communication patterns, and understanding key components like service meshes, API gateways, and microservices communication. We will dive deep into Helm charts, their structure, and how to use them to streamline Kubernetes deployments. As you progress, you will explore Cloud-Native communication paradigms such as synchronous and asynchronous methods, RESTful APIs, and gRPC, building robust, scalable, and efficient communication for Microservices. The course then walks you through deploying microservices to Kubernetes using Istio and Envoy for advanced service mesh communication, followed by an exploration of Cloud-Native databases, caching systems, and message brokers. By working with real-world tools like AWS Lambda, DynamoDB, and Redis, you will learn to handle data management, caching, and message processing in a Cloud-Native environment. This course is perfect for developers, DevOps engineers, and cloud architects eager to master Cloud-Native patterns and Kubernetes management. A basic understanding of cloud computing and Kubernetes is required, but no prior experience with Helm or service meshes is necessary. By the end of the course, you will be able to deploy Kubernetes applications with Helm, implement Cloud-Native communication patterns, manage service meshes, and deploy data management and caching solutions in Cloud-Native applications.
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