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Top 4 aws patterns of highly available api

Deepika Sahu answered on December 14, 2022 Popularity 1/10 Helpfulness 1/10

answer Top 4 aws patterns of highly available api

Top 4 aws patterns of highly available api

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1. Classic EC2 way
Pros

It is simple to setup such infrastructure
It supports any API framework, like Java, .NET, Python, etc.
Configurable — you can put on the EC2 whatever you want
Almost no limits, you can increase storage, memory, CPU, etc.
❌Cons

Infrastructure costs
You are responsible for instance images management
2.Containerized API on top of AWS ECS
ECS has different flavors:

Amazon EC2 — runs Docker on top of EC2 worker nodes, can be On-Demand or even Spot instances.
Amazon Fargate — also named serverless, as it decides where to run Docker containers, you just need to specify the desired network, memory, and CPU parameters.
Amazon EKS (Elastic Kubernetes Service) — allows you to setup a Kubernetes cluster on AWS.
✔️Pros

Easy to build and test API on your local Docker environment
Configurable — you can use any available Docker image, or create your own with all required libraries
Simple high availability and scalability settings
Cheaper infrastructure costs in comparison to classic EC2 approach
No server management overhead in case of AWS Fargate
❌Cons

It still has some limits, for example, storage for AWS Fargate
Infrastructure management, except AWS Fargate
Docker images management and version updates
3.Elastic Beanstalk Application
Pros

Easy to learn and to start with AWS deployments
Supports EC2 or Docker deployments
Simple high availability and scalability settings
No server management overhead
No additional service costs
❌Cons

Slow and not flexible deployments
Application versions management
Hard to fine-tune, control the whole application stack
Not suitable for all API frameworks and libraries
4.Serverless AWS Lambda approach
Highly available and scalable by default
Easy to build
No infrastructure management
Low infrastructure costs
❌Cons

AWS Lambda has some limits, including configuration, timeout, memory, CPU, etc.
Not suitable for all API frameworks and libraries
Hard to monitor and troubleshoot in the event of complicated deployment schema

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Contributed on Dec 14 2022

Deepika Sahu

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Top 4 aws patterns of highly available api

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