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Java Microservices for Scalable Applications

Acknowledging Data Management
          Best Practices with DataOps

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Introduction to Java Microservices Architecture

  • Java Microservices are becoming a new trend. They are a form of service-oriented architecture style wherein applications are built as a collection of different smaller services rather than one whole app.
  • Instead of a monolithic app, several independent applications run on their own and create using different coding or programming languages.

Monolithic Application Architecture

Monolithic Applications are heavyweight, slow to deploy, have testing issues, hard to scale up the individual parts of applications.

Microservices Rules Monolithic

  • Compostable
  • Independently scale-up services
  • Focus on one or multiple Microservices
  • Deployment with Docker containers
  • Spring Framework for creating Microservices
  • Setup new service by using Spring Boot
  • Expose resources via a RestController
  • Consume remote services using RestTemplate

Spring Cloud Features

  • Building block for Cloud and Microservices.
  • Provides Microservices infrastructures like delivering use services such as service discovery, configuration server, and monitoring.
  • Offering several other open-source projects like Netflix OSS, PaaS like Cloud Foundry, AWS, and Heroku using Spring Boot style starters.

Business Challenge for Building Java Microservices

  • Work on the code to analyze the meaning of metrics.
  • Validate your measurement system regarding accuracy and precision. Collect histograms of Response Time.
  • Monitoring systems need to be more available and scalable.
  • Optimization for monitoring distributed, ephemeral, containerized microservices.

A distinctive method of developing software systems that focuses on building a single-function module with well-defined operations and interfaces. Source: Microservices with Java and Golang

Scalable Java Microservices Solutions

Monitoring Tool to get Time Series Database, metrics collector, visualize the data for each running container -

Monitoring with Prometheus

Prometheus is a service monitoring system that collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, triggers alerts if some condition is observed to be true.

Database Monitoring and Analysis with InfluxDB

InfluxDB is an open-source Time Series database for recording metrics, events, and analytics.

Monitoring Kubernetes with CAdvisor

CAdvisor is an open-source tool to monitor Kubernetes resource usage and performance. It discovers all the deployed containers in the Kubernetes nodes and collects information like CPU, Memory, Network, file system. CAdvisor provides us with a visual monitoring web dashboard.

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Building Scalable Microservices Architecture

Monitoring is the crux to sustain Microservices Architecture. The scaling of Microservices depends upon the number of incoming requests.

Independent scaling can occur if Microservices includes De-Coupling ensuring easy alteration, distributed API development, Isolated Failure, customization to change any component, Continuous Delivery to promote automation, the creation of individual function treated as independent service denoted as Inter-Service Communication.

Scaling of Microservices must be -

  • Independent of Programming Languages
  • Agile Approach and DevOps Strategy
  • MultiSite Architecture
  • License Cost
  • Safe-Guard Auto-Scaling Issues
  • Secure Service
  • Container Management Framework

Microservices has the upper hand over Monolithic Services regarding Scalability as Cloud Native applications also demand Scalability and Pliancy to initiate, communicate and end applications promptly. Copies of applications running for scale provide Fault Tolerance. Explore more about distributed tracing in this insight.

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