Why End to End DevOps Automation?

​​A common challenge our clients are faced with is learning and using independent DevOps tools.  The problem is that the tools are used best when integrated for full functionality and end to end automation.  The typical enterprise client would take months or years to obtain the skills needed to automate a single environment.  At Yash Solutions we can achieve a fully integrated environment using end to end automation in a few weeks.  Once we determine your tools, infrastructure and desired state we do a 12 week pilot where you can onboard a single application.  If you decide you would like to integrate more applications using end to end automation we then evaluate the other applications and provide additional development to expand across the enterprise.  Our approach moves at your pace.  

Yash Solutions DevOps Offerings

  • DevOps Tools
  • Data on demand technology
  • Data Masking
  • Security 
  • Consulting
  • Contingent Labor Services
  • Ongoing Development
  • Support

Business Value

By using frequent incremental application releases it will provide a better user experience.  It will keep the business focused and reactive to their client needs which will drive new revenue sources.     


DevOps Tool Map
  1. Source Code Management
    Using version control software programmers use several approaches for software development. Locally, developers must all use the same computer system, which may be the revision control system. In a distributed model, developers work directly with a local repository, where individual source code revisions are collected. Developers then update the central repository with local revisions so that revisions can be shared.
  2. Continuous Integration
    Continuous Integration workflow can be triggered upon a source code check-in, kicking off a compile/link (build), running code analysis, deploying to an endpoint and running tests. In Continuous Delivery, each environment may have their own Continuous Integration workflow that performs the steps needed.
  3. Configuration Management
    Tracking and controlling changes in the software, part of the larger cross-disciplinary field of configuration management.
  4. Build
    Continuous Delivery pushes the frequency of releases. This final paradigm shift, moves away from the old approach to one-off scripting, into full automation.
  5. Test
    Continuous Test automates testing so developers and/or testers can run through critical functional test, and code analysis to provide feedback on the readiness of those binaries.
  1. Continuous Deployment
    Continuous Deployment automates the movement of those binaries to any endpoint in any environment and supports server configuration management, all performed on an incremental basis with feedback showing the inventory and the changes.
  2. Monitoring
    Monitoring targets fall into several primary categories: Application log output, server health, development milestones, vulnerabilities, deployments, and user activity.
  3. Containers
    Provide DevOps Teams with the ability to group applications and their dependencies together. It makes it possible to build software applications in testing environments that will reflect real-world scenarios. The key benefit is to build software applications without the churn involved in multiple deployments across disparate systems.