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.

Bring your tests to CI/CD with GitHub Actions! In this episode, we’ll show how to integrate LocalStack into your workflow, so your tests run automatically on every push without touching real AWS resources. Whether you're testing Lambda, DynamoDB, S3, or beyond LocalStack makes it possible to run everything locally, even in your CI workflows.

Check out the recording of the hands-on webinar featuring Yan Cui, AWS Serverless Hero, and Waldemar Hummer, CTO of LocalStack, to learn practical use cases around monitoring serverless applications for local dev&test loops. Learn the best practices for debugging serverless applications using various AWS services to support your serverless workflows while troubleshooting errors and performance issues. In this video, you will learn about building and deploying Serverless apps locally, common patterns and workflows for testing Serverless apps, troubleshooting errors and performance issues in dev&test loops, implementing observability with distributed tracing with Lumigo, and local Serverless development with LocalStack.

In this talk, Teja explore the intricacies of the software supply chain and discuss strategies for protecting your software against supply chain attacks. He look sinto the risks associated with these threats, offer mitigation measures, and covers recommended practices for managing open-source software and Software Bills of Materials (SBOMs). This session aims to equip the audience with the knowledge and tools needed to enhance the security of their software supply chain.