Amazon Aurora Training

Live Online & Classroom Enterprise Training

Learn how to design, deploy, and manage highly available and scalable relational databases using Amazon Aurora on AWS.

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What is Amazon Aurora Course about?

This course provides a comprehensive introduction to Amazon Aurora, AWS’s cloud-native relational database engine compatible with MySQL and PostgreSQL. Participants will learn how to set up Aurora clusters, manage performance, ensure high availability, implement security best practices, and optimize costs. The course combines conceptual understanding with practical knowledge to help learners confidently use Aurora in real-world cloud environments.

What are the objectives of Amazon Aurora Course ?

Understand Amazon Aurora architecture and features
Create and manage Aurora clusters
Implement high availability and disaster recovery
Monitor and optimize database performance
Apply security and backup best practices

Who is Amazon Aurora Course for?

Cloud engineers and architects
Database administrators (DBAs)
DevOps professionals
Application developers using databases
IT professionals working with AWS

What are the prerequisites for Amazon Aurora Course?

Prerequisites:

Basic understanding of databases
Familiarity with SQL concepts
Basic knowledge of AWS services
Understanding of cloud computing fundamentals
Experience with MySQL or PostgreSQL

Learning Path:

AWS Cloud Fundamentals
Core AWS Database Services
Amazon RDS Concepts
Amazon Aurora Deep Dive
Advanced Aurora Architecture and Optimization

Related Courses:

AWS Cloud Practitioner Essentials
Amazon RDS Administration
AWS Solutions Architect – Associate
Database Migration on AWS

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Amazon Aurora

What Amazon Aurora is — a fully managed relational database compatible with MySQL and PostgreSQL

Benefits: high performance, availability, and cost-effectiveness

How it fits in AWS ecosystem (part of Amazon RDS)

Module 2: Aurora Storage Architecture

Log-structured distributed storage system

Data replication across six copies in three Availability Zones (AZs)

Fault tolerance and read availability design

Shared storage model separating compute from storage

Module 3: Aurora Architecture Components

Primary (writer) instance — handles both reads and writes

Reader instances — handle read operations, up to 15 replicas

Automatic failover to reader when primary fails

Module 4: Deployment Modes: Provisioned vs Aurora Serverless

Aurora Provisioned — fixed instance classes for predictable workloads

Aurora Serverless v2 — automatically scales compute and memory based on demand

Use-cases for each deployment type

Module 5: Advanced Features of Amazon Aurora

Advanced capabilities include:

Aurora Global Database — cross-region replication and disaster recovery

Backtracking — roll database back to an earlier point without restoring backups

Fast Cloning — create clones quickly without duplicating all storage

Module 6: How Amazon Aurora Works

Aurora cluster architecture overview (primary + replicas + cluster volume)

How read workload distribution reduces pressure on the primary instance

Scenario handling of unpredictable workloads via Serverless scaling

Module 7: Shared Responsibility Model for Aurora / RDS

AWS responsibility: infrastructure, patching, backups, availability

Customer responsibility: database configuration, security, performance tuning

Tools for monitoring and performance insights

Module 8: Aurora vs Standard RDS Engines

Performance comparisons (Aurora vs MySQL/PostgreSQL)

Storage scaling differences

Failover and replication advantages with Aurora

Cost and replica limits trade-offs

Who is the instructor for this training?

The trainer for this Amazon Aurora Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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