XenonStack - A Stack Innovator

Monitoring of Java Microservices using Spring Boot and Spring Cloud

Overview

 

Microservices Architecture is a style of structuring applications as loosely coupled services. An Application based on Microservices Architecture is Small, Messaging–enabled, Bounded by contexts, Autonomously developed, Independently deployable, Decentralized, Language–agnostic, Built and released with automated processes. 

 

With Microservices Architecture you can enable Secure Continuous Integration and Continuous Delivery Pipeline for delivery, automation, self-service environment, and On-demand. Deploy your Application to production by decreasing the time through the automation of entire delivery pipeline comprising build, deploy, test, and release.

 

Spring Boot is a framework for building web and enterprise applications designed to simplify the bootstrapping and development of Spring Applications. Spring framework provides flexibility to configure beans in multiple ways such as XML, Annotations, and JavaConfig.

 

Spring Cloud is a collection of tools that provide solutions to some of the commonly encountered patterns when building distributed systems. Spring Cloud offers tools for Configuration Management, Service Discovery, Circuit Breakers, Distributed Sessions.

 

Problem Statement

 

  • To create Microservices using Spring by setting up a new service using Spring Boot.

  • Work on code that analyses the meaning of metrics than a code that collects, moves, stores, and displays metrics.

  • Validation of measurement system to achieve accuracy and precision. Collect histograms of response time.

  • Monitoring systems need to be more available and scalable than the systems (and services) being monitored.

  • Optimisation of monitoring distributed, ephemeral, containerized Microservices.

 

Solution Offered

 

Monitoring is a critical piece of the control systems of Microservices, as more complex your software gets, the harder it is to understand its performance and troubleshoot problems.

 

For monitoring, we use tools to get Time Series Database, Metrics Collector, Visualize the data for each running containers -

 

  • Prometheus - Prometheus is a system and service monitoring system.

  • InfluxDB - InfluxDB is an open source Time Series Database.

  • Elasticsearch - Elasticsearch is a highly scalable open-source full-text search and analytics engine.

  • Grafana - Grafana is an open source metric analytics & visualization suite.

  • Kibana - Kibana is an open source Data Visualization plugin for Elasticsearch.

  • CAdvisor - CAdvisor is an open source tool to monitor Kubernetes resource usage and performance.

Industry

General


Technologies

Prometheus, Elastic Search, InfluxDB, Grafana, Kibana, CAdvisor, Spring, Spring Cloud

Transforming to a Data-Driven Enterprise

Talk to Experts for Assessment on Infrastructure Automation,  
DevOps Intelligence, Big Data Engineering and Decision Science

REACH US
Contact Us

Chat With Our Experts

Your Information Submitted Successfully!