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• Serverless Application ModelAs 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.

Cloud-first development kills your inner dev loop. There's a better way.TypeDB on AWS is powerful — Lambda functions querying complex relationship hierarchies, recursive schema functions resolving transitive memberships, all without application logic. But iterating on schemas and queries in the cloud is slow and expensive.Harsh Mishra introduces the TypeDB extension for LocalStack: run a fully functional TypeDB server inside your local AWS environment and connect your app exactly as you would in production. Faster iteration, zero unnecessary spend.

Are Property Graphs living up to the hype? Maybe the model itself is the problem.We made the move from relational databases to graph databases to escape "Join Pain" and model the real world more naturally — but for many engineering teams, that promise has curdled into something worse: the Spaghetti Graph.Complex queries. Ugly workarounds for multi-party relationships. Fragile schemas that shatter with every iteration and become a nightmare to maintain.The good news? The problem isn't your data.In this talk, Joshua Send breaks down why standard Labeled Property Graphs (LPGs) fall short when applied to complex domains — and introduces TypeDB, a strongly-typed database that brings together the connectivity of a graph with the integrity of a relational model.You'll come away understanding:Why LPGs struggle at scale and complexityWhat "Spaghetti Graphs" are and how teams fall into the trapHow TypeDB's type system enforces data integrity without sacrificing flexibilityWhen a strongly-typed graph database is the right tool for the jobWhether you're deep in a graph migration, evaluating database architectures, or just tired of schema chaos — this one's for you.

When it comes to productivity, developer experience is more than just a buzzword. Creating an intuitive developer experience could help you get more out of LocalStack by democratizing access, cutting out manual tasks, and making environments more easily interchangeable between LocalStack and AWS.On a day-to-day basis, this could mean fewer tickets, less time spent creating environments, and more time on the important work that your environments support.This demo session will show how LocalStack’s new integration with Quali Torque can accelerate deployment on both LocalStack and AWS by:* Using generative AI to create reusable environment templates that can be deployed to LocalStack and AWS interchangeably in just a few clicks.( Providing a self-service catalog for your teams to find and provision environments quickly and easily—and without access to create or modify resource configurations.* Simplifying the deployment experience by eliminating complexity and security requirements to run environments on AWS.* Tracking all activity to identify performance issues for LocalStack deployments and wasted cloud costs for AWS deployments proactively.