
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.

Running your Spring Boot app on AWS for production is common, but testing there can be slow and costly. In this video, we’ll show you how to speed up development using LocalStack.By provisioning your infrastructure with Terraform, you can easily switch to local testing in just three steps:1. Configure your dev environment variables2. Start LocalStack in Docker3. Run your IaC filesGet faster feedback and reduce costs by testing locally with LocalStack!## ResourcesThis project is available in both the open-source and pro versions. LocalStack Pro significantly simplifies development by using Transparent Endpoint Injection.• Project using LocalStack OSS: https://github.com/localstack-samples/sample-shipment-list-demo-lambda-dynamodb-s3• Project using LocalStack Pro: https://github.com/localstack-samples/sample-pro-version-shipment-list-demo-lambda-dynamodb-s3## Documentation• Transparent Endpoint Injection: https://docs.localstack.cloud/user-guide/tools/transparent-endpoint-injection/• Terraform for LocalStack: https://docs.localstack.cloud/user-guide/integrations/terraform/• LocalStack Lambda: https://docs.localstack.cloud/user-guide/aws/lambda/• LocalStack S3: https://docs.localstack.cloud/user-guide/aws/s3/• LocalStack DynamoDB: https://docs.localstack.cloud/user-guide/aws/dynamodbstreams/• LocalStack SQS: https://docs.localstack.cloud/user-guide/aws/sqs/• LocalStack SNS: https://docs.localstack.cloud/user-guide/aws/sns/

In this session, Maximillian Hoheiser discussed developing & testing AWS Data Streaming with LocalStack! In this talk, he focused on Kinesis Data Firehose, an AWS service that allows you to extract, transform, and load streaming data into various destinations like Amazon S3.He dived into how to set up testing for Kinesis Firehose and seamlessly integrated it with other services using Boto3 and CDK/CloudFormation. Maximillian led a live demonstration, showcasing how to set up a practical business case, implement it, and rigorously test it using LocalStack.

Multi-account and multi-region compatibility enables users to manage and deploy resources across multiple AWS accounts and geographic regions. This functionality enhances the robustness of the deployments by offering improved fault tolerance, scalability, and regulatory compliance. By segregating resources into separate accounts and distributing them across various regions, users can minimize the impact of potential failures and optimize performance.In this session from LocalStack Community Meetup May '24, Sannya Singhal discussed how you could use LocalStack to emulate multi-account and multi-region environments locally for testing and development purposes, ensuring that applications were resilient and scalable before deployment to the cloud.