Course Outline
Foundations of Microservices Architecture
- Defining microservices
- Advantages and complexities of microservices
- Contrast with monolithic architectures
Configuring AWS Cloud9 for Microservices Development — Rapid Setup
- Provisioning an AWS Cloud9 environment
- Setting up the development workspace
- Integrating AWS services with Cloud9
Developing Microservices with Docker
- Overview of Docker and containerization
- Creating and validating Docker containers
- Leveraging Docker Compose for multi-container applications
- Practical exercise: constructing a multi-container application locally
Event-Driven Architecture and Asynchronous Messaging
- Core principles of event-driven architecture: synchronous vs. asynchronous communication
- Amazon SQS for queue-based messaging
- Amazon SNS for publish-subscribe messaging
- Amazon EventBridge for event routing and distribution
- Kafka and Amazon MSK for high-volume streaming — Overview and optional content
- Practical exercise: implementing asynchronous communication between two services using SQS and SNS, and extending with EventBridge routing
Deploying Microservices on AWS (ECS, Lambda, and EKS)
- Configuring Amazon ECS for container orchestration
- Deploying microservices using AWS Lambda
- Introduction to Kubernetes and Amazon EKS as an alternative orchestration model — Overview and comparison with ECS
- Service discovery in microservices architectures
- Scaling microservices within AWS
- Practical exercise: deploying on ECS and comparing with an EKS setup
API Management with AWS API Gateway
- Developing and managing RESTful APIs
- Linking APIs to microservices
- API versioning and throttling mechanisms
- Practical exercise: exposing microservices through an API Gateway with versioning
Observability, Monitoring, Logging, and Distributed Tracing
- Leveraging AWS CloudWatch for monitoring
- Configuring logging with Amazon CloudWatch Logs
- Setting up alarms and notifications
- Concepts of distributed tracing
- AWS X-Ray for request tracing
- OpenTelemetry for vendor-agnostic instrumentation
- Practical exercise: instrumenting microservices with X-Ray and OpenTelemetry and tracing requests across services
CI/CD and Infrastructure as Code
- CI/CD pipeline concepts for microservices
- Overview of Terraform for infrastructure provisioning
Microservices Security Best Practices
- Implementing IAM roles and policies
- Securing microservices via API Gateway
- Encrypting data in transit and at rest
Requirements
Participants are expected to have:
- Basic to intermediate proficiency in Python
- Fundamental knowledge of REST APIs, HTTP protocols, and web application principles.
- Basic familiarity with Linux command-line utilities and Git.
- A basic understanding of Docker and containerization concepts is recommended, though not required.
- Basic knowledge of cloud computing concepts and AWS services is beneficial
Testimonials (4)
The instructor was knowledgeable about the course topic and also other related topics, and was able to answer our questions, or even make a note of questions he didn't immediately know the answer to and got back to use later.
Abe Sabbagh - Enbridge
Course - Advanced RabbitMQ - 2 Days
Possibility to perform independent exercises in the training environment.
Tomasz - PKO Zycie Towarzystwo Ubezpieczen S.A.
Course - Kafka for Administrators
the technical preparation of teachers
Giorgio - Asystel-BDF S.p.A.
Course - Creating a Service Mesh with Istio and Kubernetes
Very practical examples. The trainer has tried to keep a pace where everybody is able to go with even though the group was quite inhomogeneous regarding the knowhow. He has provided a lot of support to basically everybody who asked for it :)
