Amazon DynamoDB: Best Practices
DynamoDB powers millions of transactions daily—but misconfigured tables drain budgets and tank performance. This course cuts through the noise, teaching you the architectural decisions and operational patterns that separate production-ready deployments from costly mistakes. You’ll leave with a playbook for designing, scaling, and optimising DynamoDB workloads.
AIU.ac Verdict: Essential for backend engineers, solutions architects, and AWS practitioners who need to move beyond basic table creation. Raj Saha’s hands-on approach grounds theory in real-world trade-offs. Note: assumes foundational AWS and database concepts; not a DynamoDB introduction.
What This Course Covers
You’ll explore partition key design strategies, indexing patterns (GSI/LSI), and throughput provisioning models—the decisions that make or break cost and latency. The course covers consistency models, batch operations, and query optimisation techniques that directly impact production performance. Expect practical labs where you’ll diagnose performance bottlenecks and implement caching strategies alongside DynamoDB.
Beyond mechanics, Saha walks through real-world scenarios: handling hot partitions, migrating from relational schemas, and rightsizing capacity. You’ll learn when DynamoDB is the right choice versus when to reach for alternatives, and how to monitor and troubleshoot using CloudWatch and X-Ray. This is the operational knowledge that separates engineers who manage DynamoDB from those who architect with it.
Who Is This Course For?
Ideal for:
- Backend & Full-Stack Engineers: Building serverless or microservices applications; need to optimise DynamoDB for production scale without guesswork.
- Solutions Architects & DevOps Engineers: Designing AWS infrastructure; must advise teams on DynamoDB schema, provisioning, and cost optimisation trade-offs.
- AWS Practitioners Preparing for Certification: Targeting Solutions Architect or Developer Associate exams; DynamoDB best practices are heavily weighted.
May not suit:
- Complete AWS Beginners: This assumes comfort with AWS fundamentals and relational database concepts; start with AWS core services first.
- NoSQL Generalists Seeking Breadth: Laser-focused on DynamoDB; if you need MongoDB, Cassandra, or multi-database comparison, look elsewhere.
Frequently Asked Questions
How long does Amazon DynamoDB: Best Practices take?
3 hours 17 minutes of video content. Most learners complete it in 1–2 sittings, though hands-on labs may extend that depending on your pace.
Do I need AWS hands-on experience before starting?
Yes—you should be comfortable navigating the AWS Console and understand basic concepts like IAM, VPCs, and CloudWatch. This isn’t an AWS 101 course.
Will this help me pass AWS certification exams?
Absolutely. DynamoDB best practices are core to Solutions Architect Associate and Developer Associate exams. This course covers the operational and design patterns you’ll be tested on.
Can I access labs and sandboxes?
Yes. Pluralsight includes hands-on labs and sandboxes with every course, so you can practise partition key design, indexing, and optimisation in a live environment.
Course by Raj Saha on Pluralsight. Duration: 3h 17m. Last verified by AIU.ac: March 2026.
