AWS Aurora is a relational database engine from Amazon Web Services. It helps to overcome traditional database scalability, performance, and availability limitations in a cost-effective way. Aurora uses a high-performance storage subsystem that automates and standardises database clustering and replication.
This AWS Aurora training course is designed to provide a thorough understanding of how to work with Aurora. Delegates will learn how to manage security, configure the Aurora DB cluster and migrate data to a cluster. The course also looks at how to work with Aurora MySQL and Aurora PostgreSQL.
Course Objectives:
After completing this course attendees should be able to:
- Fundamentals of PostgreSQL
- Aurora Architecture deep dive & cluster setup
- Monitoring features and tools (CloudWatch, Enhanced Monitoring, Performance Insights ..)
- Designing highly available, and scalable clusters
- Cluster configuration management
- Query performance tuning
- Aurora Postgres Security
- Effectively using Aurora features such as Global Database, Serverless, Cache management
- Aurora Disaster Recovery
- Backup Recovery
- Cluster management tasks such as vacuuming, analyse & explain etc.
Course content
PostgreSQL Fundamentals
- Storage, Processes & Query processing
- WAL, Checkpointing, Archiver & Background processes
- High availability, Standby servers & Replication
- Scaling, Read vs Write scaling
- Tools, Config, Logs & Catalog
Amazon RDS & Aurora
- AWS PostgreSQL options
- RDS Vs Aurora PostgreSQL
- Aurora specific features
- Aurora – PostgreSQL version & releases
- Deciding between RDS & Aurora PostgreSQL
Introduction to Aurora
- DB Clusters
- Connection Management
- Storage and Reliability
- Security
- High Availability and Global Databases for Aurora
- Replication with Aurora
Setting Environment
- Getting Started with Aurora
- Configuring Aurora DB Cluster
- Choose DB Instance Class
- Choose Regions and Availability Zones
- DB Instance Billing for Aurora
- Creating DB Cluster
- Aurora Serverless
- Connecting to DB Cluster
- Migrate Data to DB Cluster
Amazon RDS Aurora Architecture
- Aurora Storage Architecture
- Database Instance Classes & I/O performance
- Database Instance Right Sizing
- Primary instance, Replicas & Endpoints
- Aurora Reads & Writes
- AZ +1 Fault Tolerance Model
- Aurora Standby Replication
- Lab : Read Replica
- Lab : Replication Lag
Aurora Metrics, Logging & Events
- Baseline, KPI & Metric Monitoring
- Introduction to Pgbench tool
- RDS CloudWatch Metrics & Dimensions
- RDS Aurora Metrics
- RDS Enhanced Metrics
- RDS Database Logs
- PostgreSQL Log files & configuration
- RDS Events
- Lab : Aurora CloudWatch Metrics
- Lab : Enhanced Metrics
- Lab : Checkout PostgreSQL Logs
- Lab : RDS Event retention to CloudWatch
Aurora Scaling and High Availability
- Aurora Storage Scaling
- Aurora Compute Scaling
- Aurora Failover
- Aurora Cluster Cache Management
- Lab : Vertical Scaling
- Lab : Auto Scaling
- Lab : Aurora failover
Configuring Security
- Managing and Monitoring Aurora DB Cluster
- Working with Aurora MySQL
- Introduction to Aurora MySQL
- Aurora MySQL Security
- Migrating Data to Aurora MySQL
- Managing Aurora MySQL
- Parallel Query for Aurora MySQL
- Advanced Auditing and Replication with Aurora MySQL
- Integrating Aurora MySQL with AWS Services
Query Performance Analysis
- PostgreSQL Stats Subsystem
- PostgreSQL Stats Functions
- PostgreSQL Wait events and Locks
- pg_stat_statements extension
- Lab : Wait & Lock events
- Lab : pg_stat_statements extension
PostgreSQL Commands – Vacuum, Analyse & Explain
- PostgreSQL Query Processing, Plan, Paths, Optimizer
- Explain command
- PostgreSQL Analyze command
- Multi Version Concurrency Control (MVCC)
- Vacuuming – Addressing table bloat
- Vacuum – Addressing the wraparound
- Vacuum command
- Auto vacuuming
- Lab : Explain command
- Lab : vacuum command
Query Performance Tuning for waits
- Performance Insights Overview
- Performance Insights Counters
- DB Load & Active Sessions
- IO Wait Events
- Buffer Cache Tuning
- Aurora IO XactSync Event
- IO Events : DataFileRead, BufFileRead, BufFileWrite
- Lightweight Lock Waits
- Heavyweight Lock Waits
- Client & Timeout wait events
- Lab : Performance Insights
- Lab : IO XactSync Event
- Lab : BufFileRead & BufFileWrite IO Events
- Lab : Lock transactionid
- Lab : Performance Insights dashboard
- Lab : Timeout wait event
RDS Aurora Security
- Data Encryption Support
- Database Network Security
- RDS Aurora Access & Authorization Control
- Password Authentication
- Aurora IAM Authentication
- Introduction to Kerberos and AWS Managed AD
- RDS Aurora Kerberos Authentication
- PostgreSQL Pgaudit Extension
- Lab : Force TLS/SSL connection
- Lab : Password Authentication
- Lab : IAM Authentication
- Lab : Setup AWS Managed AD
- Lab : Setup Aurora PostgreSQL for Kerberos
- Lab : pgAudit extension
Aurora Global Database
- Aurora Global Database
- Managing the Aurora global DB
- Aurora global DB monitoring
- Disaster Recovery (DR) & Managed RPO
- DR & Aurora Endpoint management
- Lab : Setup Aurora global DB cluster
- Lab : Planned global DB failover
- Lab : Endpoint management
- Lab : Aurora global DB clean-up
Aurora Backup and Recovery
- PostgreSQL backup and restore
- Aurora Automatic & Manual backups
- Backup Encryption, Copying and Sharing
- Backup Costs and Monitoring
- AWS Backup Service
- Lab : PostgreSQL pg_dump
- Lab : PostgreSQL pg_restore
- Lab : Restoring from a snapshot
- Lab : Point in time recovery (PITR)
- Lab : Snapshot export to S3
Aurora Cloning
- Aurora Cloning & Copy on write protocol
- Cross account cloning
- Lab : Create an Aurora Clone
Aurora Serverless v2
- Aurora Serverless v2 DB Instance
- High availability considerations
- Serverless v2 DB instance capacity scaling
- Monitoring considerations
- Lab : Build a Aurora cluster with Serverless v2
Cluster Maintenance
- RDS and PostgreSQL versioning
- Aurora PostgreSQL upgrade
- Minor version upgrade
- Major version upgrade
- Aurora PostgreSQL releases & deprecation
- Lab : PostgreSQL native replication
Working with Aurora PostgreSQL
- Aurora PostgreSQL Security
- Managing Aurora PostgreSQL
- Replication with Aurora PostgreSQL
- Query Plan Management
- Best Practices with Aurora
- Basics of Limits and Troubleshooting
To see the full course content Download now
Course Prerequisites
- No prerequisites are required for this course. However, basic knowledge of relational databases and query language would be beneficial.
- Hands on with AWS
- Experience with any RDBMS
- Basic Unix shell scripting
Who can attend
- Database Administrators
- Software Architects
- Software and IT Engineers
- AWS Cloud Architects
- Application Architects & Developers
- DBA's intending to develop AWS/RDS skills
- Cloud Architects, & Engineers looking to leverage Aurora PostgreSQL
- Database Administrators interested in diving deep into Aurora Postgres
- Cloud Developers looking to leverage Aurora Postgres for building cloud native applications
- Anyone interested in learning how Aurora Postgres is different from community version of Postgres
Number of Hours: 40hrs
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