AWS Cloud Mind Map – A Practical Guide for Cloud Engineers Here’s a visual breakdown of core AWS services every Cloud & DevOps Engineer should know. This mind map simplifies key domains to help you understand how everything connects in real-world architectures. 🔹 Compute– EC2, Lambda, ECS, EKS 🔹 Storage – S3, EBS, EFS, Glacier 🔹 Networking – VPC, Subnets, Route 53, CloudFront 🔹 Databases – RDS, DynamoDB, Aurora 🔹 Security & Identity – IAM, KMS, Cognito 🔹 Monitoring – CloudWatch, CloudTrail, X-Ray 🔹 Integration & Messaging – SQS, SNS, EventBridge 🔹 DevOps & IaC – CodeBuild, CodeDeploy, Terraform A structured view like this makes it easier to learn, revise, and design scalable cloud solutions. #AWS hashtag #CloudComputing hashtag #DevOps hashtag #CloudEngineer hashtag #AWSCertification hashtag #Architecture hashtag #Learning hashtag #Tech
mind map is incomplete without AWS AI services like Bedrock, SageMaker, Comprehend, Lex, Polly, Transcribe, Translate, and Rekognition. These are some of the most practical and widely talked AWS AI services.
Great resource. Segmenting AWS by domains significantly simplifies the design of scalable and resilient architectures. Having a clear view of how compute, storage, and networking services connect is essential to avoiding redundancies and optimizing cloud usage.
Great Mind Map, Mohammad Imran Hossain. It will give a complete overview about AWS services in one page.
Mohammad Imran Hossain thank you.
Awesome breakdown.
Great Mind Map, Mohammed! It perfectly illustrates why AWS is the ultimate builder’s toolkit. At Idlefy, we believe that the key to success is not just knowing these icons, but understanding when to choose Lambda over EC2 or S3 over EBS. This kind of visualization helps engineers keep the "Big Picture" in mind, which is crucial for building scalable and, more importantly, cost-effective systems. Great work!