
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.

Tired of rebuilding your stack from scratch every time you run tests or restart your dev environment? In this episode, we dive into Cloud Pods, LocalStack’s powerful state management feature.You’ll learn how to:- Snapshot your entire LocalStack environment (services, resources, data)- Restore that exact state across machines, teams, or CI runs- Speed up test cycles and workflows- Use Cloud Pods to make testing in CI/CD faster and more reliableCloud Pods let you freeze your infrastructure in time. Perfect for repeatable tests, isolated dev environments, or onboarding new teammates.🔗 Read the companion blog post: https://blog.localstack.cloud/save-and-share-localstack-state-with-cloudpods/

dbt (Data Build Tool) helps data engineers manage data transformations using modular SQL and brings version control, testing, and documentation to their transformation logic. However, running dbt against production data warehouses like Snowflake can be slow, expensive, and risky.This session introduces a new way to develop and test dbt workflows locally using the Snowflake emulator in LocalStack. You'll learn how to: Set up a local dbt environment Configure dbt to connect to the Snowflake emulator Run and validate dbt models locally without using a real Snowflake account Iterate quickly on transformations before pushing them to productionThrough a hands-on factory app example, we’ll walk through how to use the Snowflake emulator to run dbt models on your laptop, helping you test logic, catch issues early, and reduce cloud costs.

In this video, you'll learn how you can run an Elastic Compute Cloud (EC2) instance locally using LocalStack's core cloud emulator. Elastic Compute Cloud (EC2) is a core service within Amazon Web Services (AWS) that provides scalable and flexible virtual computing resources. EC2 enables users to launch and manage virtual servers, commonly referred to as instances. LocalStack is a core cloud emulator that allows you run EC2 instances using a Docker backend. Under the hood, LocalStack spins another Docker container that mimics an EC2 instance functionality, including other add-on features such as EBS, IMDS, and Load Balancers.For more information, check out our docs:- Install LocalStack: https://docs.localstack.cloud/getting-started/installation/- Configure an Auth Token: https://docs.localstack.cloud/getting-started/auth-token/ - Supported EC2 operations: https://docs.localstack.cloud/user-guide/aws/ec2/#operations - Supported Instances & AMIs: https://docs.localstack.cloud/user-guide/aws/ec2/#instances-and-amis Corrections:- LocalStack will no longer provide the Ubuntu 20.04 Docker AMI (used in this video) by default in the next major release. It can still be manually added.- On nine minutes & nine seconds mark, we meant 'localhost' instead of 'localstack'. To access the web server, you can hit the localhost:8000 endpoint as shown in the video.