In this module, we will dive into cloud-native communication patterns, focusing on microservices communication types and styles. You will learn about synchronous vs. asynchronous communication, explore advanced patterns like service meshes and API gateways, and understand tools like gRPC for high-performance interactions. Real-world examples and cloud-native communication tools will also be explored.

In this module, we will walk you through deploying microservices to Kubernetes using Istio and Envoy for advanced communication and traffic management. You will set up Istio on Minikube, deploy applications, and configure ingress gateways for external access. Hands-on labs will focus on monitoring and analyzing microservices with Istio, along with using observability tools like Kiali, Prometheus, and Jaeger.

In this module, we will explore the foundational role of backing services in cloud-native applications, focusing on databases, caching, and message brokers. You will dive into data management practices for microservices, including Kubernetes-native and serverless solutions, and learn how to manage communication with event-driven and asynchronous systems.

In this module, we will focus on data management strategies in cloud-native environments, exploring the use of Kubernetes-native and serverless databases. You will learn about the different types of databases—relational, NoSQL, and NewSQL—and how to choose the best option for your microservices. Practical projects will guide you through designing data-rich architectures for real-world applications.

In this module, we will guide you through the hands-on process of deploying CockroachDB in a Kubernetes cluster using Minikube and Helm. You will explore the features of Kubernetes Operators, deploy CockroachDB, and perform SQL operations. Additionally, you will test its resilience by simulating node failures and scaling.

In this module, we will teach you how to build a serverless RESTful microservices application using AWS Lambda, API Gateway, and DynamoDB. You will learn to integrate these services, configure event-driven communication with SNS, and deploy and test a fully functional application. Finally, you will learn how to clean up resources to avoid unnecessary charges.

In this module, we will dive into caching in cloud-native applications, focusing on Kubernetes-native and serverless caching solutions. You will explore different caching strategies, including cache-aside and distributed caching, and learn best practices for optimizing read and write operations. Hands-on labs will guide you through using tools like Redis, Memcached, and serverless caching solutions from cloud providers.

In this module, we will guide you through deploying Redis Cache within a Kubernetes cluster using Minikube. You will explore Redis architecture, configure it within Kubernetes, and interact with it using Redis commands. Additionally, we will simulate Redis node failures and observe its ability to scale. Finally, you will learn how to clean up your deployment to ensure resource efficiency.

In this module, we will explore the role of message brokers in asynchronous and event-driven communication systems. You will learn about the benefits of using message brokers in microservices, focusing on patterns like publish/subscribe and event-driven architectures. We will also explore real-world examples of event-driven systems, as well as tools like Kafka, RabbitMQ, and Redis.

In this module, we will walk you through the process of deploying Apache Kafka in a Kubernetes cluster using Minikube and Helm. You will explore Kafka's architecture and learn to work with its APIs for message publishing and consumption. Hands-on labs will guide you through testing Kafka’s fault tolerance and cleaning up resources after the exercise.

In this module, we will walk you through the process of creating an Amazon SNS topic and subscribing it to AWS Lambda for event-driven communication. You will learn how to configure SNS notifications, create Lambda functions for processing messages, and test the entire flow. The module concludes with resource cleanup to ensure proper management of AWS costs.