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Getting Started with DevOps

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Getting Started with DevOps
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I'm Proficient in a variety of Big Data technologies, including AWS, Azure, GCP, Hadoop, Databricks, Pyspark, Sql, Python, Docker, Jenkins, Git/GitHub, Kubernetes, Azure Data Engineering.

#Defination

DevOps is a methodology that involves practices to bridge the gap between the Development and Operations team.

#Why DevOps is important - this is because to achieve

  • Automation

  • Scalability

  • Faster Delivery

  • Minimal Downtime

  • Early error detection

| Jargons used in DevOps Methodology |

  1. Automation - Using tools and technologies to automate various tasks.

  2. Scaling - With certain configurations/tools systems to expand during high demand, and scale down when demand falls.

  3. Infrastructure - Infrastructure is nothing, it is just a Machine/Cloud.

  4. Continuous Integration(CI) - It is a practice/process where code gets merged/changed into a central repository regularly, after which automated builds and tests are run.

  5. Continuous Delivery(CD) - It is an extension of continuous integration and states that all code changes should get deployed automatically to a testing and/or production environment after the build stage.

  6. Infrastructure as Code (IaC) - This is managing and provisioning infrastructure through code instead of through manual processes.

DevOps life cycle

Thank you for reading !

Bikram Chatterjee

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