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

Post a Comment

Popular posts from this blog

New way of product development

Today is the era of fast-paced world and competitive world. Companies are realizing that the old sequential approach to developing new products won’t get the job done and product can’t be reached to market when compared to competitors. The 4 stages of product development are as follows – R&D, Growth, Maturation, and Decline. Instead of sequential approach, companies are using holistic approach – as in rugby game, the ball gets passed within the team as it moves as a unit up the field. This holistic approach has six characteristics: 1)     Build-in-instability 2)   Self-organizing project teams 3)   Overlapping development phases 4)   Multi-learning 5)   Subtle (very clear and strong) control 6)   Organizational change to explore and learning The above six characteristics forming a fast and flexible process for new product development with advantage of act as a change agent, creative, market driven ideas, flexi...
Post a Comment
Read more

Product Manager vs Product Owner

Both the product manager and the product owner work towards a common goal, to build and improve products that create meaningful value for customers and all stakeholders within the company. This usually happens by delivering and optimizing product features. Product Manager Product Owner The product manager discovers what users need, prioritizes what to build next, and rallies the team around a product roadmap. The product owner is responsible for maximizing the value of the product by creating and managing the product backlog. This person creates user stories for the development team and communicates the voice of the customer in the Scrum process.      Product Manager and Product Owner's work on below vacuum. Product manager focus on: Business Strategy Long term Product Vision Long term Product Strategy Product Roadmap Alignment with Product Owner Product owner focus on: Release Plan (Product Backlog ie: ...
Post a Comment
Read more

Data & Analytics

Data and analytics is the management of data for all uses and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences. Four Types of data analytics: 1.         Predictive data analysis Predictive analytics may be the most commonly used category of data analytics. Businesses use predictive analytics to identify trends, connections between data, and relationship between data. 2.        Prescriptive data analytics Prescriptive analytics is where AI and big data combine to help predict outcomes and identify what actions to take. Prescriptive analytics can help answer questions such as “What if we try this?” and “What is the best action?” You can test the correct variables and even suggest new variables that offer a higher chance of generating a positive outcome. 3.        Diagnostic data analyti...
Post a Comment
Read more