Cloud & DevOps

There are plenty of definitions of DevOps but simply put, it is a combination of software development

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What We Offer

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DEVOPS

We offer DevOps Auditing and Consulting, Automation Services, Cloud Consulting and Implementation, Virtualization, Configuration Management, Container Technologies, Workflow Automation and Continuous Delivery, Performance Measurement / Metrics, Log Analysis

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AWS

Under our AWS services, we offer Compute Services, Storage Services, Databases, Networking, Deployment, Simple Queue Service (SQS), Simple Notification Service (SNS), Cloud Watch For Monitoring, Elastic Map Reduce (EMR), Amazon Simple DB, Amazon Cloud Front, Identify and Access Management (IAM)

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APPLICATION OPS

Under our Application Ops, we offer PHP Frameworks, Python Frameworks, Tomcat, Ruby on Rails, Node, Apache, NGINX, Varnish, MySQL, Mongo, Hadoop, Cassandra, HBase, ZooKeeper, HAProxy, PostgreSQL, Solr, Memcache

What is DevOps

There are plenty of definitions of DevOps but simply put, it is a combination of software development and operations—and as its name suggests, it’s a melding of these two disciplines in order to emphasize communication, collaboration, and cohesion between the traditionally separate developer and IT operations teams.

Evolution Infosystem is focused on providing cloud based solutions and DevOps technology. We have a niche in DevOps auditing and a team of experts who study the current development workflows of the organization along with the IT operation practices and analyse it. Based on the analysis, we create a detailed plan which helps the organization to adopt the DevOps strategy. We are flexible working with platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud or any other cloud platforms. Our team of experts provide backup & disaster recovery, remote infrastructure management, application ops and cloud consulting & migration services.

Configuration Management

Problem
  • A tough job to maintain identical application version across all the environments.
  • Setup 100 node of developers environment
  • Disaster recovery
Challenge
  • It was important to save time to bring up a working environment in no time.
  • If your architecture is auto scaled you need to make sure that all your application dependency was installed in the fly.
  • If your production environment servers are down you need to have scripts that will bring the new servers up automatically.
DevOps Solution
  • To over come all the above issues we utilise Configuration Management tools like CHEF, ANSIBLE , Puppet etc.
  • We write CHEF Scripts to install the applications with predefined versions.
  • We also Write environment specific installation scripts.
  • This helps with reducing time and quick provision of new servers.

Continuous Integration and Continuous Deployment

Problem
  • Manual process of building the code as soon as a new code is committed to a repository.
  • Run test cases every time after a updated code was merged.
  • Automate the deployment process.
  • Rollback to the previous version
  • Deployment on AutoScaled Architecture.
Challenge
  • Automate the build
  • Make your build Self Testing
  • Organize workflow of continuous code integration
  • Analyse the integration report for better output
  • Fix broken builds immediately
  • Deploy the build on different working environments.
DevOps Solution
  • Accept above challenge with various CI tools like Jenkins, Maven, Bamboo etc.
  • Configure the CI tool to automate the build and deploy process with integrating thousands of plugins with the CI tool.
  • Use CI tool configure running test cases to make sure no code integration fails the test case and get deployed to production.
  • Generate Reports for the test cases
  • Once the Code Integration is successful, Deploy the code on different Product Architectures.
  • Use Code Deployment tools like AWS Code Deploy , Capistrano etc. to deploy on server.
  • Configure Deploy tool to deploy the code on Auto Scaled Architecture.
  • Configure ability to roll back to previous build with no down time.

Micro Services

Problem
  • Distributed Application and MicroService
  • Manage application server resource usage
  • Orchestration of the containers
Challenge
  • Run application inside Docker Containers
  • Integrate automated docker images created using Jenkins and Scripts.
  • Orchestration with Docker Containers.
DevOps Solution
  • Divide the application into multiple containers
  • Autoscale, Loadbalance with Container Orchestration tools like Docker Swarm, AWS ECS etc.
  • Continuous Integration and Continuous Deployment with Docker, Jenkins etc.

Application Performance Monitoring

Problem
  • Making sure all the applications are up and running.
  • Application performance
  • Record Application and Database Response Time
  • Log Analysis
Challenge
  • Tools for Server level and Application level monitoring.
  • Gathering and Analyzing Data to improve the application performance.
  • Manage a centralized log gathering and analysis system.
DevOps Solution
  • Configure Server level and Application level monitoring with tools like Nagios and New Relic.
  • Configure Log Management tools like Splunk, Logstash etc.
  • Automate Alerts to notify the team.
  • Monitor Application health.