Unlocking ease of use for deployment across LocalStack and AWS

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.

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How to save state in LocalStack?

LocalStack is ephemeral, so when you stop and restart it, all data is lost. You can use certain features to save the state & load it back when you restart LocalStack. This includes saving the local state for S3 buckets, DynamoDB tables, RDS databases and more. In this video, we explore three mechanisms that allows you to save state in LocalStack. They are:• Persistence• State Export & Import• Cloud Pods ## Documentation• State management: https://docs.localstack.cloud/user-guide/state-management/ • Cloud Pods: https://docs.localstack.cloud/user-guide/state-management/cloud-pods/ • Persistence: https://docs.localstack.cloud/user-guide/state-management/persistence/ • State Export & Import: https://docs.localstack.cloud/user-guide/state-management/export-import-state/

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LocalStack Neptune development with G.V() — Gremlin IDE

We’re partnering with gdotv to simplify development with our Amazon Neptune cloud emulator component. You can now easily query, visualise and model your graph data either interactively or using the Gremlin querying language with G.V() - Gremlin IDE.With G.V(), you can considerably enhance your graph database development experience whilst gaining access to a powerful reporting and visualisation toolset for your production data. With LocalStack’s core cloud emulator, parity is ensured between a local Neptune instance and AWS’s own, meaning Gremlin queries in your development environment will behave identically on Amazon Neptune. In this video we demonstrate how to use G.V() with LocalStack Neptune.Read the announcement blog here: https://blog.localstack.cloud/2024-06-05-localstack-neptune-development-with-gv-gremlin-ide/

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Towards a LocalStack Snowflake emulator—develop your data pipelines locally!

About a year ago we have released the first version of LocalStack Extensions: Extensions are a powerful mechanism to plug additional functionality into LocalStack - ranging from additional service emulators, to value-add features like Chaos Engineering, request logging, cloud resource replication/proxying, and more.Over the last couple of months we have been experimenting with a LocalStack Snowflake emulator extension, which allows to develop and test your Snowflake data pipelines entirely on your local machine!In this talk, Waldemar discusses and demonstrates how you can develop your Snowflake data pipelines locally with LocalStack.

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