Comparing DevOps, DataOps, AIOps, MLOps, and LLMOps: Key Differences

Examining the variations in their operational fields, case studies, and restrictions.

These are the commonly used terms that can be misunderstood. Here are the scope of the terms, use cases, and their limitations:

DevOps

Scope

• DevOps focuses on automating the process of software development (Dev) and IT operations (Ops). It also includes a Quality Assurance team.
• It aims to break down silos between these teams and accelerate the software delivery lifecycle.

Use Cases

• Continuous integration and continuous delivery (CI/CD) for faster deployments.
• Infrastructure as code (IaC) manages and provides infrastructure through code.
• Configuration management for ensuring consistency across environments.
• Monitoring and logging to identify and resolve issues proactively.

Limitations

• Primarily focuses on traditional software development and may not be suitable for complex data-driven systems.
• Requires a cultural shift within organizations to embrace collaboration between Dev and Ops teams.