While both aim to improve software delivery and reliability, DevOps focuses on the collaboration and automation between development and operations, whereas Site Reliability Engineering (SRE) applies a software engineering approach to solve operational problems and ensure scalable and reliable systems.
Cloud computing provides scalable and flexible resources that DevOps teams can manage and automate through cloud services, enhancing the deployment, scaling, and management of applications.
Yes, a proficient DevOps Engineer often works across multiple cloud platforms (e.g., AWS, Azure, GCP) to leverage the unique benefits of each for optimized infrastructure solutions.
Python is favored for its simplicity and versatility, making it ideal for scripting automation tasks, infrastructure management, and data analysis within DevOps practices.
In machine learning projects, DevOps Engineers facilitate continuous integration and delivery of ML models, manage scalable cloud infrastructure, and ensure efficient deployment and monitoring of ML applications.