Pulumi VS copilot-cli

If you are following this blog series, you should already know the benefits of using Terraform to define and deploy your AWS resources and configuration. Other IaC solutions such as AWS CloudFormation, AWS CDK, and Pulumi work the same way but differs in the programming or configuration language.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.

funny, to me systemd == no docker, no containers, just a VM.

it's my goto way to keep my programming running and have it be restarted if the vm reboots. I use VMs like "pods". I deploy code directly to the VM and run it there along with other programs. I scale up an scale down with: https://www.pulumi.com/

Pulumi — Modern infrastructure as a code platform that allows you to use familiar programming languages and tools to build, deploy, and manage cloud infrastructure.

A move like this may have an impact in other open source projects. Take Pulumi, for instance, people might avoid choosing it now that the Linux Foundation have its own IaC tool, and for newer, smaller projects it will probably be impossible to compete with a project under the Linux name.

Another alternative to writing an operator would be to rely on kustomize or https://www.pulumi.com/.

Pulumi

Would it make sense to say Dagger is to Pulumi [1], as Terraform is to Togomak?

[1]: https://www.pulumi.com/

Infrastructure as Code (IaC): Define your infrastructure using code (IaC) to automate the provisioning of resources such as virtual machines, load balancers, and databases. Tools like Terraform, Pulumi, and AWS CloudFormation can help.

AWS Copilot CLI is an open source command line interface for running containers on AWS App Runner, Amazon Elastic Container Service (ECS), and AWS Fargate.

sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux && sudo chmod +x /usr/local/bin/copilot

Check out AWS Copilot CLI: https://aws.github.io/copilot-cli/

This is by far the best way to deploy compute into AWS in containerized workloads.

The abstraction you want is Jobs: ttps://aws.github.io/copilot-cli/docs/concepts/jobs/

Building this any other way on AWS would require provisioning multiple artifacts. The Copilot Jobs abstraction basically encapsulates the provisioning of those artifacts into one repeatable pattern.

AWS Copilot CLI is a tool that lets you deploy production-ready, scalable services on AWS from a Dockerfile in one command.

and here is the copilot page if you are interested https://aws.github.io/copilot-cli/

For larger high availability required things, AWS ECS with RDS, ElastiCache, CloudFront, S3, etc.. Really like Copilot for deployment/env/secret/sidecar management (probably needs a rename now): https://aws.github.io/copilot-cli/

We are spending about 60% less. Workload has actually lessened since AWS is so much more stable. Getting to a similar DX as Heroku was quite the lift, but once it's done, it's done. These days we generally only have outages when we screw something up ourselves. I recommend https://github.com/aws/copilot-cli for starting out on ECS.

I'd recommend checking out AWS Copilot (https://aws.github.io/copilot-cli/)