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AWS Services Selection / Decision Guides
Rating: 4.4 out of 5(7 ratings)
4,513 students

AWS Services Selection / Decision Guides

Choose the right AWS service every time. Master decision guides for Compute, Storage, Databases, ML, and Security.
Created byDeepak Dubey
Last updated 10/2025
English
English [Auto],

What you'll learn

  • Confidently select the optimal AWS service for any given technical requirement.
  • Make informed decisions based on key factors like cost, performance, scalability, and features.
  • Compare and contrast services within all major AWS categories (Compute, Storage, Database, ML, etc.).
  • Understand the key differences and specific use cases for similar services (e.g., RDS vs. DynamoDB, SQS vs. SNS).

Explore related topics

Course content

1 section • 11 lectures • 6h 0m total length

  • AWS Analytics Services Selection / Decision Guide41:21

    Explore AWS analytics services across streaming, batch processing and ETL, data warehousing and data lakes, governance and collaboration, search and discovery, with service-by-service comparisons and exam-focused decision metrics.

  • AWS Application Integration Services Selection / Decision Guide40:55

    Compare AWS application integration services such as SNS, SQS, EventBridge, MQ, Kinesis, MSK, MWAA, AWS Step Functions, and Amazon Simple Workflow Service to guide selection, pricing, performance, and certification readiness.

  • AWS Compute Services Selection / Decision Guide - Part 146:52
  • AWS Compute Services Selection / Decision Guide - Part 228:24

    Explore ideal use cases, workloads, and differentiators across AWS compute services such as EC2, ECS, EKS, Lambda, Fargate, LightSail, and more, plus exam concepts and service limits.

  • AWS Database Services Selection / Decision Guide39:29

    Explore AWS database services selection with a comprehensive decision guide covering relational, NoSQL, and specialized databases, focusing on scalability, consistency, pricing, backup, recovery, monitoring, migration, and availability.

  • AWS Machine Learning Services Selection / Decision Guide - Part 118:56

    Explore AWS machine learning services with a comprehensive decision guide that explains service types, primary functions, service model, and input/output data types for confident exam-ready selections.

  • AWS Machine Learning Services Selection / Decision Guide - Part 220:52

    Explore use case selection metrics for 24 AWS machine learning services and exam focus areas for certification, detailing primary use cases, suitability, and key differentiators.

  • AWS Security Services Selection / Decision Guide - Part 125:52

    Explore a comprehensive guide to selecting AWS security services, covering service categories, primary functions, scope of operation, data sources, artifacts, and data residency to help distinguish between similar offerings.

  • AWS Security Services Selection / Decision Guide - Part 239:32

    Explore AWS security services’ primary mechanisms, use cases, differentiators, and key certification concepts, focusing on AWS Artifact, Audit Manager, Certificate Manager, CloudTrail, and Cognito.

  • AWS Storage Services Selection / Decision Guide - Part 139:44

    Explore AWS storage services selection and decision guides for S3, EBS, EFS, FSX variants, AWS Backup, AWS DataSync, Snow Family, Storage Gateway, and Transfer Family to optimize cost and performance.

  • AWS Storage Services Selection / Decision Guide - Part 218:30

    Explore AWS storage service options with use cases, differentiators, and exam tips for S3, EBS, EFS, FSX variants, file cache, backup, DataSync, Snow Family, Storage Gateway, and Transfer Family.

Requirements

  • A foundational understanding of cloud computing concepts is required.
  • Basic familiarity with the core AWS services is highly recommended (e.g., you should know what EC2, S3, and RDS are).
  • No programming experience or active AWS account is needed, as this course focuses on decision-making and theory.

Description

Are you overwhelmed by the sheer number of services in the AWS cloud?

With hundreds of services, each with its own acronyms and features, the most difficult part of designing a solution on AWS is simply choosing the right tool for the job.

  • When should you use EC2 vs. Lambda vs. Fargate?

  • What's the real difference between RDS, DynamoDB, Aurora, and Redshift?

  • How do you decide between SQS, SNS, and EventBridge?

  • Is S3, EBS, or EFS the right choice for your storage needs?

Choosing the wrong service can lead to poor performance, runaway costs, and solutions that are difficult to scale. This course is designed to solve that problem.

This isn't just another "what is" course that lists services. This is a "when to use" and "why to choose" course.

We've done the hard work for you by creating a series of clear, practical, and opinionated decision guides for every major AWS category. Through concise lectures, we will systematically compare and contrast services side-by-side, focusing on the key factors that matter in the real world: cost, performance, scalability, integration, and management overhead.

In this course, you will master the art of AWS service selection for:

  • Compute

  • Storage

  • Databases

  • Application Integration

  • Analytics

  • Machine Learning

  • Security

By the end of this course, you will be able to look at any technical requirement and confidently and quickly select the most effective and cost-efficient AWS service to meet it. You'll stop guessing and start designing like a senior Solutions Architect.

Who is this course for?

  • Aspiring or current AWS Solutions Architects.

  • Developers and DevOps Engineers who build and deploy applications on AWS.

  • Anyone studying for AWS certifications (especially Solutions Architect Associate or Professional).

  • Technical managers who need to approve architectural decisions.

If you're tired of navigating the "analysis paralysis" of the AWS console, this course is for you.

Enroll today and learn to choose the right AWS service, every single time.

Who this course is for:

  • IT professionals and technical managers who get overwhelmed by the large number of AWS services.
  • Anyone who wants to move beyond what a service does and learn when and why to use it.

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