Here at Pulumi we are (perhaps unsurprisingly!) huge fans of using Pulumi to manage our cloud infrastructure and services. We author our infrastructure in strongly-typed programming languages, which allows us to to benefit from rich tooling - documenting and factoring our infrastructure using the same software engineering practices we apply to our application code. This also allows us to create reusable abstractions which accelerate our ability to deliver new features and services, and our ability to standardize and refactor infrastructure patterns across our services with relative ease.
Pulumi makes it easy to build cloud applications that use a combination of containers, lambdas, and connected data services and infrastructure: Colada apps.
An example of a Colada app is extracting a thumbnail from a video. A serverless function can only run for 5 minutes, so we'll run a container in AWS Fargate to do the video processing.
In this app, a Lambda function is triggered whenever a new video is uploaded to S3. This function launches a task in Fargate that uses FFmpeg to extract a video thumbnail. A second Lambda function is triggered when a new thumbnail has been created.
Containers are a great way to deploy applications to the cloud, especially with new execution models like AWS Fargate. Pulumi makes it easy to deploy production Docker containers, handling details such as creating a container registry instance in ECR, creating task definitions in ECS, and configuring a load balancer. With Pulumi, deploying a container to production is almost as easy as running it locally!