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Hi there!!! 👋

If you are a cloud computing researcher or practitioner, you definitely worked with one of the most popular public cloud providers: Amazon Web Service (AWS), Microsoft Azure, or Google Cloud Provider (GCP).

These services offer a lot of products for particular service needs and it’s even difficult to remember all the names or map the alternatives.

Recently, I found a GitHub repository that provides a comprehensive list of products across AWS, Azure, and GCP side-by-side based on target services.

In this post, I talk about that repository, add a simple basic map for common services myself, and added some free course links found on twitter.

Cloud Service Mapping

Created by Milan Milanović, this repository provides an easy-to-read infographic that maps out the different cloud services offered by the three major cloud providers, organized by purpose. The infographic covers services related to computing, storage, networking, databases, security, analytics, machine learning, and more.

This resource is handy for those looking to compare and contrast the services offered by each cloud provider for a specific purpose or use case. For example, suppose you’re looking for the best solution for data warehousing. In that case, the infographic can quickly point you to AWS’s Redshift, Azure’s SQL Data Warehouse, and GCP’s BigQuery.

This Cloud Product Mapping repository is a valuable resource for anyone navigating cloud services. It’s especially helpful for those who need to compare and contrast the offerings of AWS, Azure, and GCP for specific use cases.

I’m also adding an example mapping of some popular services here:

Service AWS Azure GCP
Compute EC2, Lambda, ECS Virtual Machines, Azure Functions Compute Engine, Cloud Functions
Storage S3, EBS, Glacier Blob Storage, Azure Files Cloud Storage, Persistent Disk
Database RDS, DynamoDB, Redshift SQL Database, Cosmos DB Cloud SQL, Cloud Spanner, Cloud Bigtable
Networking VPC, ELB, Route 53 Virtual Network, Load Balancer Virtual Private Cloud, Load Balancing
Analytics EMR, Kinesis, Athena HDInsight, Stream Analytics Dataproc, Dataflow, BigQuery
Machine Learning SageMaker, Rekognition, Polly Machine Learning, Cognitive Services AI Platform, Cloud ML Engine
Identity & Access Management IAM, Cognito Active Directory, Azure AD Cloud IAM, Cloud Identity
Security WAF, Inspector, GuardDuty Security Center, Sentinel Cloud Security Command Center, Cloud IAM
Internet of Things IoT Core, Greengrass, FreeRTOS IoT Hub, IoT Central Cloud IoT Core, IoT Edge
DevOps CodePipeline, CodeBuild, CodeDeploy DevOps, Azure DevTest Labs Cloud Build, Cloud Source Repositories
Management & Governance CloudFormation, CloudTrail, Config Azure Resource Manager, Log Analytics Cloud Deployment Manager, Stackdriver
Application Integration SQS, SNS, Step Functions Service Bus, Event Grid Cloud Pub/Sub, Cloud Functions
Mobile AWS Amplify, Mobile Hub Mobile Apps Firebase, App Engine
Media Elemental MediaLive, MediaConvert Media Services Cloud Video Intelligence

While writing the post, I found some free materials posted by Linuxopsys on twitter:

Thought, it would be worth sharing!

That’s all for today, guys! Cheers!!!

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