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I can't delete my previous Jenkins builds from my CodePipeline (Jenkins created by EC2 Instances).
I was experimenting bunch of builds using Jenkins because I wanted to experiment CodePipeline using Jenkins as I was experimenting I couldn't delete my previous Jenkins server (Jenkins was created using AWS EC2 instances). How can I do this?
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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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I've some questions related to AWS Cloud practitioner, DevOps, and machine learning as I'm preparing for the AWS certifications.
What is the MOST cost-effective solution to implement an image batch processing cluster on AWS? Configuring the cluster software from a generic EC2 Linux image takes 30 minutes. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on an NFS and can tolerate interruptions.
Should I Use GlusterFS on EC2 instances for checkpoint data? To run the batch job, configure EC2 instances manually. When the job completes, shut down the instances manually?
And also if there is a resource with solutions to the problems related to AWS Cloud practitioner, DevOps, and machine learning would be great.
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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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Our data pipeline setup currently makes use of Docker containers running on EC2 instances and Apache Airflow as the orchestration tool. We're trying to move to MWAA for the advantages associated with a managed service(scalability, maintenance, scheduler monitoring etc...). My question is what's the best way to integrate Docker with MWAA? Currently we run our services/app via the DockerOperator on Airflow. Would we need to get Docker running on the MWAA environment? Any suggestions would be appreciated.
I would suggest to go ahead with ECS or ECS Fargate and run your Docker containers there.
MWAA supports open-source integrations with Fargate and other services, so can be easily integrated with Airflow to orchestrate
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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