Book Image

Hands-On Microservices ??? Monitoring and Testing

By : Dinesh Rajput
5 (1)
Book Image

Hands-On Microservices ??? Monitoring and Testing

5 (1)
By: Dinesh Rajput

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.

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Table of Contents (11 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Software Architecture Patterns
Software Architecture Patterns
The monolithic architecture pattern
Microservice architecture pattern
Service-oriented architecture (SOA)
SOA versus microservice architecture
Summary
2
Anatomy of Microservice Decomposition Services
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
3
Microservices Deployment Patterns
Microservices Deployment Patterns
Microservices deployment
Service deployment platforms
Serverless deployment
Summary
4
Inter-Service Communication
Inter-Service Communication
Approaches to service communication
Event-based communication
Domain-specific protocol
Summary
5
Service Registry and Discovery
Service Registry and Discovery
Technical Requirements
The need for service discovery in microservice architecture
Service discovery patterns
Microservice registry and discovery with Eureka
Summary
6
External API Gateway
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
7
Testing of Microservices
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
8
Performance Testing of Microservices
Performance Testing of Microservices
Technical Requirements
JMeter
Gatling
The ReadyAPI
Summary
9
Performance Monitoring of Microservices
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
10
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Service deployment platforms

There are several deployment platforms available that provide automated infrastructure for application deployment. These provide a lot of services that can be used for service deployment, such as load balancing. These platforms include the following:

  • Container-based deployment platforms, such as Docker orchestration frameworks, including Docker Swarm mode and Kubernetes
  • Serverless platforms, such as AWS Lambda
  • Cloud-based platforms, such as PaaS, including CloudFoundry, and AWS Elastic Beanstalk

Internally, deployment platforms are also used with either a VM or containers to deploy microservices. We looked at how Dockers and AWS platforms can be used to deploy microservices in our previous book, Mastering Spring Boot 2.0.

So, let's now move on and discuss serverless deployment.

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