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Hands-On Microservices ??? Monitoring and Testing

By : Rajput

2.7 (6)

Buy this Book

Hands-On Microservices ??? Monitoring and Testing

2.7 (6)

By: Rajput

Buy this Book

Overview of this book

Microservices are the latest "right" way of developing web applications. Microservices architecture has been gaining momentum over the past few years, but once you've started down the microservices path, you need to test and optimize the services. This book focuses on exploring various testing, monitoring, and optimization techniques for microservices. The book starts with the evolution of software architecture style, from monolithic to virtualized, to microservices architecture. Then you will explore methods to deploy microservices and various implementation patterns. With the help of a real-world example, you will understand how external APIs help product developers to focus on core competencies. After that, you will learn testing techniques, such as Unit Testing, Integration Testing, Functional Testing, and Load Testing. Next, you will explore performance testing tools, such as JMeter, and Gatling. Then, we deep dive into monitoring techniques and learn performance benchmarking of the various architectural components. For this, you will explore monitoring tools such as Appdynamics, Dynatrace, AWS CloudWatch, and Nagios. Finally, you will learn to identify, address, and report various performance issues related to microservices.

Preface

Who this book is for

What this book covers

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Free Chapter

Software Architecture Patterns

The monolithic architecture pattern

Microservice architecture pattern

Service-oriented architecture (SOA)

SOA versus microservice architecture

Summary

Anatomy of Microservice Decomposition Services

Anatomy of a microservice

Decomposition based on business capability

Decomposition on the basis of domain

Microservice chassis to handle cross-cutting concerns

Building microservices

SOAP versus RESTful microservices

Summary

Microservices Deployment Patterns

Microservices deployment

Service deployment platforms

Serverless deployment

Summary

Inter-Service Communication

Approaches to service communication

Event-based communication

Domain-specific protocol

Summary

Service Registry and Discovery

Technical Requirements

The need for service discovery in microservice architecture

Service discovery patterns

Microservice registry and discovery with Eureka

Summary

External API Gateway

Technical Requirements

Introducing an API gateway

Client-to-microservice communication

Using an API gateway

Building an API gateway

Building an API gateway using Spring Cloud's Netflix Zuul proxy

MuleSoft

Summary

Testing of Microservices

Technical Requirements

Testing strategies for microservices

Unit testing

Integration testing

Component testing

Contract testing

End-to-end testing

UI/functional testing

Summary

Performance Testing of Microservices

Technical Requirements

JMeter

Gatling

The ReadyAPI

Summary

Performance Monitoring of Microservices

Identifying performance counters to test microservices

Performance monitoring tools

Component-level monitoring

Domain-specific monitoring

Dashboards and identifying issues by going through logs

Grafana

Summary

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Serverless deployment

If you want to avoid choosing between using VMs or a container, you can opt for a serverless microservice deployment instead. Serverless deployment is a cloud-based deployment model in which the cloud provider manages all resources that are utilized by microservices dynamically. They charge based on the actual usage of resources by microservices.

Serverless cloud computing is provided by cloud vendors such as Amazon, Google, or Microsoft. Amazon provides AWS Lambda as a serverless deployment technology, which supports Java, Python, and Node.js languages. You can easily deploy microservices to the serverless platform by packaging the microservices as ZIP files and uploading them to AWS Lambda. The serverless platform automatically runs instances of your microservices to handle incoming requests. Serverless cloud computing also uses resources such as the...