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Any idea how to go about converting terraform google resources to their terraform aws equivalents? I’ve got a terraform google project but I’m needing to use the iac in aws. Insight appreciated.
The question is focused enough for people who know about IaC.
Let me refer you to this question which is the other way around: from AWS to GCP: Movement from AWS to GCP with terraform
Unfortunately there is no automatic conversion. Just think of the differences in detailed configurations let alone differences on a resource or concept level. So as the answer in the link mentioned: "You'll need to work out what the equivalents are for everything and move things bit by bit" (https://stackoverflow.com/a/60936052/7337539)
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I am designing a solution For real estate application with microservices (Spring Boot) on AWS. For orchestration I want to use ECS with Fargate but I am not sure of it? I am confused which will be best choice EC2 or Fargate. and also more cost efficient. please help.
If you're interested in using ECS in that case Fargate launch type would be better than EC2 because it doesn't require much maintenance and it is cost efficient.
For more information on ECS Fargate check this out https://aws.amazon.com/blogs/compute/building-deploying-and-operating-containerized-applications-with-aws-fargate/
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We are trying to create a infrastructure template that can be reused for Fargate deployments.Which tool would better fit this usecase, TerraForm or cloudformation?
In my opinionated experience:
Terraform would give you a better language (HCL) and tooling (tf backends, workspaces, terragrunt, ...), and also work in other clouds and services if you need to deploy outside fargate.
CloudFormation would give you closer integration with AWS resources and services, as it is the foundation for a wide range of products. However, composing and deploying from YAML may get complex as the system grows, leading to other tools and workarounds.
You can get the "best of both" using the Terraform Cloudformation Module and so defining resources in CloudFormation but through the Terraform Tooling. Check the gitops-blueprints repo for a reference implementation.
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We are building up product which will have set of microservices communicating with each other.
We are using EKS as kubernetes service from aws. For Service mesh, There are two ways to go for it.
Install Istio over EKS cluster.
Use AWS App Mesh service with EKS.
The more I read about it, There are its own advantages of using one over other but not sure which one to go with.
Istio is more matured whereas App Mesh is able to integrate with different AWS services like XRay, Cloudwatch etc. easily.
Any inputs over this is appreciated.
This may lead to highly opinionated answers and usually this doesn't fly well on Stackoverflow. As you pointed out there isn't a specific answer other than "it depends". Your own background, organization goals, requirements etc. count more than the point opinion of individuals for this.
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This morning, I asked me "What are the different tech stacks to deploy a GraphQL server in the cloud (AWS, GCP, etc.)?
And after some research, I found some tutorials which are using AWS Lambda. But is it a good idea to deploy a GraphQL server on Google Cloud Functions or AWS Lambda? Otherwise what are the alternatives?
Some tutorials that I have found which are using AWS Lambda :
https://serverless.com/blog/running-scalable-reliable-graphql-endpoint-with-serverless/
https://hackernoon.com/create-a-serverless-graphql-server-using-express-apollo-server-and-aws-lambda-c3850a2092b5
https://medium.com/#cody.taft/serverless-graphql-with-aws-f7b6da9d2162
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I want to set up a Cloud Formation in aws to attach a Rate Based Rule to my LB. I have been reading the AWS documentation for hours, and I know how to create a regular WAF Rule in Cloud Formation and attach them to my LB in Cloud Formation. The problem is I cant find how to create a Rule of type Rate-Based of WAF in CF, there is not RateBasedRule object in Cloud Formation. Does anyone knows how to get around this?
After talking to aws support itself: This feature is not yet supported by aws as of today.