Donna Malayeri

Donna Malayeri

Code, Deploy, and Manage a Serverless REST API on AWS with Pulumi

Code, Deploy, and Manage a Serverless REST API on AWS with Pulumi

Pulumi makes it easy to build serverless applications and connect to other cloud resources. In this blog post, we’ll create a simple REST API that counts the number of times a route has been hit, using JavaScript to define both the infrastructure and application code. In Pulumi, you define your application infrastructure in regular code, using JavaScript, Python or Go, and you can target AWS, Azure, GCP, or Kubernetes. The Pulumi command line tool transforms your into a declarative plan, following the best practices of immutable infrastructure.

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Build a Video Thumbnailer with Pulumi using Lambdas, Containers, and Infrastructure on AWS

Build a Video Thumbnailer with Pulumi using Lambdas, Containers, and Infrastructure on AWS

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. 

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Deploying production-ready containers with Pulumi

Deploying production-ready containers with Pulumi

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! In this blog post, we’ll deploy a simple Docker container running NGINX.

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