Getting Started with DevOps

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
AutomationScalabilityFaster DeliveryMinimal DowntimeEarly error detection
| Jargons used in DevOps Methodology |
Automation - Using tools and technologies to automate various tasks.
Scaling - With certain configurations/tools systems to expand during high demand, and scale down when demand falls.
Infrastructure - Infrastructure is nothing, it is just a Machine/Cloud.
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.
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.
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




