LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.
Currently, the focus is primarily on supporting the AWS cloud stack.
LocalStack builds on existing best-of-breed mocking/testing tools, most notably kinesalite/dynalite and moto. While these tools are awesome (!), they lack functionality for certain use cases. LocalStack combines the tools, makes them interoperable, and adds important missing functionality on top of them:
Declaratively define next generation cloud infra with plain text. Build database backed web apps rapidly. Execute long running background tasks (15min), queues, and scheduled jobs. All open source.
⏱ Deploy in seconds with first class support for
💻 Work locally while completely offline with a speedy in-memory database
💓 Primitives, not frameworks: define app architecture agnostic of vendor arcana
💾 Version control your architecture and provision cloud infra in minutes from an
Leverage powerful Amazon Web Services serverless primitives without frustrating config:
- Lambda cloud native functions for compute
- API Gateway for HTTP
- Route53 for DNS
- CloudFront for CDN
- S3 for static assets
- Simple Notification Service for event pub/sub functions
- Simple Queue Service for queue functions
- CloudWatch Events for scheduled functions
- DynamoDB for data persistence, querying and trigger functions
- Parameter Store for environment variables
The easiest way to get started with Amazon Transcribe is to submit a job using the console to transcribe an audio file. If you haven’t reviewed the concepts and terminology in How Amazon Transcribe Works, we recommend that you do that before proceeding.
Easily monitor and control microservices
AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Modern applications are often composed of multiple microservices that each perform a specific function. This architecture helps to increase the availability and scalability of the application by allowing each component to scale independently based on demand, and automatically degrading functionality when a component fails instead of going offline. Each microservice interacts with all the other microservices through an API. As the number of microservices grows within an application, it becomes increasingly difficult to pinpoint the exact location of errors, re-route traffic after failures, and safely deploy code changes. Previously, this has required you to build monitoring and control logic directly into your code and redeploy your microservices every time there are changes.
AWS App Mesh makes it easy to run microservices by providing consistent visibility and network traffic controls for every microservice in an application. App Mesh removes the need to update application code to change how monitoring data is collected or traffic is routed between microservices. App Mesh configures each microservice to export monitoring data and implements consistent communications control logic across your application. This makes it easy to quickly pinpoint the exact location of errors and automatically re-route network traffic when there are failures or when code changes need to be deployed.
You can use App Mesh with Amazon ECS and Amazon EKS to better run containerized microservices at scale. App Mesh uses the open source Envoy proxy, making it compatible with a wide range of AWS partner and open source tools for monitoring microservices.