@acbhatt12
FreeDevOps | Platform | AIOps | MLOps
FreeFree tier
About @acbhatt12
Ashish Bhatt (acbhatt12) is a DevOps, Platform, AIOps, and MLOps practitioner who develops and maintains open-source infrastructure as code (IaC) modules for machine learning, foundation models, and generative AI on AWS. His notable projects include awslabs/aiops-modules, aws-samples/aws-devops-pipeline-accelerator, and service-catalog-with-github-actions, which provide reusable CI/CD and provisioning templates for AWS services.
Key Features
Reusable Infrastructure as Code modules for AIOps and MLOps
DevOps pipeline accelerators for AWS CodePipeline and GitLab CI
Service catalog provisioning with GitHub Actions
Focus on AWS cloud, machine learning, LLMs, and GenAI
Pros & Cons
Pros
- Open source and free to use
- Leverages AWS best practices for AI/ML operations
- Modular and reusable IaC components
Cons
- Limited to AWS cloud ecosystem
- Projects may require familiarity with AWS services and DevOps tools
- Not a standalone product; requires integration into existing workflows
Best For
Automating ML and GenAI infrastructure on AWSStandardizing CI/CD pipelines with pre-built templatesProvisioning Service Catalog products via GitHub Actions
FAQ
What is acbhatt12?
acbhatt12 is the GitHub profile of Ashish Bhatt, a DevOps and AIOps engineer who creates open-source IaC modules and pipeline accelerators for AWS.
What are the main projects under acbhatt12?
The main projects include awslabs/aiops-modules, aws-samples/aws-devops-pipeline-accelerator, and aws-samples/service-catalog-with-github-actions.
What technologies are used in these projects?
The projects primarily use Python, AWS CloudFormation, CDK, Terraform HCL, and GitHub Actions.