The perfect course to implementing Microservices using Serverless Computing on AWS
About This Video
Full step-by-step recipes including the use of AWS CLI tools and AWS console
Get fully working and extensive Serverless application, service and infrastructure source code and AWS configuration files
Gain practical experience and lessons learned from using Serverless microservices at scale in production
In Detail
Building a microservices platform using virtual machines or containers, involves a lot of initial and ongoing effort and there is a cost associated with having idle services running, maintenance of the boxes and a configuration complexity involved in scaling up and down.
In this course, We will show you how Serverless computing can be used to implement the majority of the Microservice architecture patterns and when put in a continuous integration & continuous delivery pipeline; can dramatically increase the delivery speed, productivity and flexibility of the development team in your organization, while reducing the overall running, operational and maintenance costs.
We start by introducing the microservice patterns that are typically used with containers, and show you throughout the course how these can efficiently be implemented using serverless computing. This includes the serverless patterns related to non-relational databases, relational databases, event sourcing, command query responsibility segregation (CQRS), messaging, API composition, monitoring, observability, continuous integration and continuous delivery pipelines.
By the end of the course, you’ll be able to build, test, deploy, scale and monitor your microservices with ease using Serverless computing in a continuous delivery pipeline.
Aidience
This video course is for developers, architects, DevOps, administrators and operations who would like to deploy Serverless computing and microservices in their organization.
Setting Up Amazon Virtual Private Cloud for Accessing RDS and Aurora
Setting Up RDS and Accessing It from Your Local Network
Accessing RDS from API Gateway Via a Lambda Function
Accessing Aurora from API Gateway Via a Lambda Function
Securing Your RDS and Aurora Databases
Chapter 4 : Serverless Query and Messaging Patterns
API Gateway and API Composition Patterns
Implementing the Serverless API Composition Patterns
Event Sourcing and CQRS Patterns
Architectures of the Serverless Event Sourcing Pattern
Implementing the Serverless Event Sourcing Pattern
Architectures of the Serverless CQRS Pattern
Implementing the Serverless CQRS Pattern
Securing Your Event Streams and Queries
Chapter 5 : Serverless Monitoring and Observability Patterns
Monitoring and Observability Patterns
Implementing Serverless Metrics and Health Check API Patterns
Implementing the Serverless Centralized Logging Pattern
Implementing the Serverless Audit Logging Pattern
Implementing the Serverless Distributed Tracing Pattern
Creating a Serverless Discovery Service and Catalogue
Chapter 6 : Serverless Continuous Integration and Continuous Delivery Pipelines
Continuous Integration and Continuous Delivery
Serverless Continuous Integration and Continuous Delivery Setup
Using CodeCommit for the Serverless Data API Code
Using CodeBuild to Build-Test the Serverless Data API Stack
Using CodePipeline as CI/CD for the Serverless Data API Stack
Using Other CI/CD Solutions with the Serverless Data API Stack
Chapter 7 : Serverless Microservices at Scale in Production
When to Use and Not Use Serverless Computing?
Estimating Serverless Stack Costs
Database and Event Streaming Scalability
Web Scale Best Practices
Conclusion
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