DevOps in Nutshell
DevOps is a software engineering practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of the DevOps movement is to strongly advocate automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevOps aims at shorter development cycles, increased deployment frequency, more dependable releases, in close alignment with business objectives.
Intersection of Development
Venn diagram showing DevOps as the intersection of development (software engineering), operations and quality assurance (QA)
DevOps Toolchain
Illustration showing stages in a DevOps toolchain
DevOps allows best of the breed software solutions to work together in a process enabling organizations to work with their investments. Key opportunity here is to integrate the different tool sets and adopt the culture of DevOps. We help in both integration and training with implementation.
Devops Toolchain Explained
Code
Code Development and Review, Source Code Management Tools, Code Merging
Build
Continuous Integration Tools, Build Status.
Test
Continuous Testing Tools That Provide Feedback On Business Risks
Package
Artifact Repository, Application Pre-Deployment Staging
Release
Change Management, Release Approvals, Release Automation
Configure
Infrastructure Configuration And Management, Infrastructure As Code Tools
Monitor
Applications Performance Monitoring, End–User Experience
Agile led to the need for DevOps, organizations wanting to release their software faster and more frequently started the process with emphasis on their release management processes, and organisations used application release automation, continuous integration tools, and continuous delivery.
Continuous delivery
Continuous delivery is about automating the processes in software delivery,While adding to CD, DevOps also focuses on the change to support great collaboration between the various functions involved.
DataOps
DataOps looks to integrate data engineering, data integration, data quality, data security, and data privacy with operations, to improve the cycle time of extracting value from data analytics. Being a leader in real time data analysis, we help organisations to continuously upgrade their process skills using data analytics