rescript-promise
aws-cloudformation-coverage-roadmap
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rescript-promise | aws-cloudformation-coverage-roadmap | |
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3 | 141 | |
128 | 1,086 | |
- | 0.1% | |
0.0 | 2.7 | |
over 1 year ago | 7 months ago | |
ReScript | ||
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rescript-promise
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Parsing Lambda Error Logs in ReScript & Python
We need the Promise library as it is the best way to use Promises in ReScript. We utilize the Jzon library for deterministically parsing our JSON into sound ReScript types without using the super verbose Js.Json classify syntax. Finally, we have an Environment module to help our Lambda know if it’s running in a QA, Stage, or Production environment.
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Which Language?
For promises, there's a proposal plus implementation with improvements that should be upstreamed soon. JS interop is actually pretty good, if you find the embedding syntax too ugly you can for the most part keep .js files and .res files and they'll work together.
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Thinking in ReScript
Note that here I'm using the rescript-promise library, which will soon become a part of the core language.
aws-cloudformation-coverage-roadmap
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DevSecOps with AWS- IaC at scale - Building your own platform - Part 1
AWS CloudFormation: Speed up cloud provisioning with infrastructure as code.
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The 2024 Web Hosting Report
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.
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Authorization and Amazon Verified Permissions - A New Way to Manage Permissions Part XIII: Cloudformation
Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool.
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Generative (A)IaC in the IDE with Application Composer
AWS Application Composer launched in the AWS Console at re:Invent one year ago, and this re:Invent it expanded to the VS Code IDE as part of the AWS Toolkit - but that’s not the only exciting part. When using App Composer in the IDE, users also get access to a generative AI partner that will help them write infrastructure as code (IaC) for all 1100+ AWS CloudFormation resources that Application Composer now supports.
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Minecraft Server on AWS
CloudFormation
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Generating cloudwatch alarms using 'metric math' via CloudFormation and Terraform.
Of course, best practices today dictate that we should be deploying our infrastructure as code, using tools such as CloudFormation or Terraform.
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Seamless Cloud Infrastructure: Integrating Terragrunt and Terraform with AWS
If you're provisioning the above resources for the first time, you'll have to either configure Terraform to use specific AWS keys as you won't have OIDC connection yet. In my case, I chose to have those pre-requesites resources in a CloudFormation template and deploy them with StackSets.
- Show HN: Winglang – a new Cloud-Oriented programming language
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Deploy Secure Spring Boot Microservices on Amazon EKS Using Terraform and Kubernetes
At this point, the first question that might pop up in your mind would be, "Why not use CloudFormation?". It's a good question; after all, CloudFormation is built by AWS and hence sounds like an excellent solution to manage AWS resources. But anyone who has tried both CloudFormation and Terraform will probably tell you to forget that CloudFormation even exists. I think CloudFormation is far more complex and less developer-friendly than Terraform. You also need to write a lot more boilerplate with CloudFormation in YAML or JSON. Yikes! In contrast, Terraform is elegant and concise, and the syntax is easier to read and write. It's cross-platform, developer-friendly, and does not require a lot of ramp-up time.
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Build a Serverless Application for entity detection on AWS
The AWS Cloud Development Kit (AWS CDK) is a framework that lets you define your cloud infrastructure as code in one of its supported programming and provision it through AWS CloudFormation.
What are some alternatives?
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
troposphere - troposphere - Python library to create AWS CloudFormation descriptions
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
DefinitelyTyped - The repository for high quality TypeScript type definitions.
awesome-cdk - A collection of awesome things related to the AWS Cloud Development Kit (CDK)
gohugo-theme-ananke - Ananke: A theme for Hugo Sites
serverless-application-model - The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
aws-cdk-examples - Example projects using the AWS CDK
elastic-beanstalk-roadmap - AWS Elastic Beanstalk roadmap
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo