Skip to main content

DevOps

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops).

It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

Building on Agile and Lean, DevOps enables the business to respond to changes and meet customer needs faster.


DevOps process:

  1. Coding – code development and review, source code management tools, code merging.
  2. Building – continuous integration tools, build status.
  3. Testing – continuous testing tools that provide quick and timely feedback on business risks.
  4. Packaging – artifact repository, application pre-deployment staging.
  5. Releasing – change management, release approvals, release automation.
  6. Configuring – infrastructure configuration and management, infrastructure as code tools.
  7. Monitoring – applications performance monitoring, end-user experience.

Benefits of DevOps:

  1. Faster time to market
  2. Higher ROI
  3. Greater user/customer satisfaction
  4. Increased efficiency
  5. Improved collaboration
  6. Early detection and correction of issues

CI/CD is a method to frequently deliver apps to customers by introducing automation into the stages of app development.

The main concepts attributed to CI/CD are continuous integration, continuous delivery, and continuous deployment.

CI/CD is a solution to the problems integrating new code can cause for development and operations teams.

Specifically, CI/CD introduces ongoing automation and continuous monitoring throughout the lifecycle of apps, from integration and testing phases to delivery and deployment.

Taken together, these connected practices are often referred to as a "CI/CD pipeline" and are supported by development and operations teams working together in an agile way with a DevOps.

Tools used:

Git (Coding Phase):  tool used for source code management.

Maven (Build Phase): dynamically downloads Java libraries and Maven plug-ins from one or more repositories and create build.

JUnit (Test Phase):  used to write and run repeatable automated tests

Jenkins (Release Phase): central build and continuous integration

Docker (Deploy Phase): enables developers to package applications into containers, configure containers ready to deploy to the cloud.

Kubernetes (Operate Phase): Kubernetes is a system that manages containers (containerized applications) where a container could be explained as a lightweight virtual machine. To build an application you need to build a bunch of containers and then use Kubernetes to manage those containers.

AWS Cloud Watch (Monitor Phase): collects monitoring and operational data in the form of logs, metrics, and events.


Comments

Popular posts from this blog

Voice of the Customer (VoC) vs Voice of the Business (VoB)

  Tthe differences and strategic importance of Voice of Business (VoB) and Voice of Customer (VoC) in Lean Six Sigma: Voice of Business vs Voice of Customer: Aligning Strategy with Value In the world of Lean Six Sigma , success hinges on understanding and balancing two critical perspectives: the Voice of the Customer (VoC) and the Voice of the Business (VoB) . While both are essential for driving sustainable growth and operational excellence, they represent distinct priorities that must be harmonized for optimal results. 🔊 Voice of the Customer (VoC) Definition : VoC refers to the needs, expectations, preferences, and feedback of the customer—whether internal or external. Focus Areas : Product/service quality Delivery timelines Customer experience Responsiveness and support Methods of Capturing VoC : Surveys and interviews Focus groups Customer complaints and feedback Net Promoter Score (NPS) Goal : To ensure that processes and outputs are aligned with what the customer truly ...

Control Chart in Lean Six Sigma

Control Chart in Lean Six Sigma Introduction In Lean Six Sigma , a control chart is a fundamental statistical tool used to monitor process performance over time and ensure that improvements are sustained . It belongs primarily to the Control phase of DMAIC , where the focus is on maintaining process stability and preventing regression after improvements have been implemented. A control chart helps distinguish between normal process variation and abnormal variation that requires investigation and corrective action. What Is a Control Chart? A control chart is a time-ordered graphical display of process data with statistically determined limits. It answers a critical question: Is the process stable and predictable, or is something unusual happening? A typical control chart consists of: Center Line (CL) – the process average or mean Upper Control Limit (UCL) – upper boundary of expected variation Lower Control Limit (LCL) – lower boundary of expected variation Plotted data points o...

Scaled Agile Framework (SAFe)

The Scaled Agile Framework (SAFe) is a set of organizational and workflow patterns for implementing agile practices at an enterprise scale. The framework is a body of knowledge that includes structured guidance on roles and responsibilities, how to plan and manage the work, and values to uphold. Scrum is a simple, flexible approach to adopting Agile that's great for small teams. SAFe is an enterprise-wide Agile framework designed to help bring Agile beyond the team and into the company as a whole. Scaled Agile has built a comprehensive level that includes all the four layers called the team, program, large solutions, and portfolio level. 4 Layers: Portfolio - Strategy, Vision, Roadmap, Strategy goal, Decision making, Budget, Portfolio level metrics,  Program - Align multiple teams towards a common mission, Bring together all the Agile teams, transparency, collaboration, and synchronisation, Scrum of Scrums, Product Owners to define the overall vision. Large Solutions - ar...