The challenge with Machine Learning (ML) models is productionizing. It requires data ingestion, data preparation, model training, model deployment, and monitoring. Adopting MLOps practices is similar to DevOps practices. In MLOps, the workload changes, but some core principles like automation, continuous integration/continuous deployment (CI/CD), and monitoring. Taking DevOps practices, I will discuss the similarities and differences in adopting MLOps practices. In this talk, Chinmay takes a production use case to scale ML models to 2 million+ daily requests. It leverages Google Cloud's (GCP) infrastructure to use its GPU and other services. This talk will help you draw similarities between DevOps and MLOps as a DevOps practitioner and help you learn how to run Machine Learning models at the production scale with best practices.

Ever wish you could test your whole cloud app without touching the cloud? I’ll show you how to validate your serverless pipeline from start to finish, right on your laptop using LocalStack. Join our Slack community and start shipping with confidence.

In this live session, Brian from LocalStack will demonstrate the WireMock extension for LocalStack, showing how developers can achieve end-to-end local testing by combining AWS service emulation with external API mocking. Brian will walk through real-world use cases, demonstrate the integration in action, and explain how this unified approach simplifies testing complex cloud applications that depend on both AWS services and third-party APIs.

Infrastructure-as-Code refers to the practice of defining and provisioning cloud resources using code and automation scripts, thus eliminating the need for manual configurations. With frameworks like AWS CloudFormation, AWS CDK (Cloud Development Kit), AWS Serverless Application Model (SAM), Pulumi, and Terraform, users can specify their desired infrastructure state in code, enabling rapid and consistent deployment of resources. However, as with any code, IaC scripts require thorough testing to ensure their correctness and proper functionality. Traditional cloud environments for testing can be expensive, slow, and error-prone due to complexities in provisioning and configuration. With LocalStack, you can leverage a local emulation of various cloud services, such as S3, DynamoDB, EKS, and more! LocalStack simulates these cloud services on a developer's machine, allowing for comprehensive and efficient testing of IaC scripts before deployment to actual cloud environments. In this video, we explain how you can use LocalStack to be more efficient and cost-effective at testing these major IaC frameworks: Terraform, Pulumi, Cloud Development Kit, CloudFormation, and Serverless Application Model. As organizations will continue to embrace IaC, cloud emulation framework like LocalStack will play an increasingly vital role in ensuring the quality and robustness of cloud infrastructure implementations.