Mastering AWS RDS: Unlocking Database Excellence

Explore what a database is, how a database management system defines, manipulates, and retrieves data, and compare relational databases, primary and foreign keys, distributed, cloud, and graph databases.

Explore Amazon Web Services database types, including Neptune graph database, ElastiCache, Redshift, DynamoDB, and relational engines in RDS such as Aurora, MariaDB, Oracle, and SQL Server.

Explore a high-level overview of databases, database management systems, and common types—relational, NoSQL, and graph—along with AWS RDS offerings, including PostgreSQL, MySQL, Oracle, SQL Server, and Amazon Aurora.

Explore how AWS organizes regions and availability zones, with data centers connected by low-latency links to support secure, multi-AZ database architectures.

Explore AWS VPC fundamentals by examining its components—subnets, route tables, security groups, and network access control lists—alongside the internet gateway, virtual private gateway, and default and custom VPCs.

Explore security groups as instance-level virtual firewalls that control inbound and outbound traffic, and network ACLs as stateless subnet firewalls that deny or allow traffic with ordered rules.

Create a custom VPC with the wizard, set up public subnets, an internet gateway, then configure security groups and network ACLs to allow database traffic on ports.

Explore how aws regions and availability zones create isolated, private networks, and secure resources with vpc subnets, security groups, and network access control lists.

Learn how Amazon RDS, a managed relational database service, simplifies cloud database maintenance with automated backups and patches, scalable storage, read replicas, and high availability.

Explore how an Amazon RDS database instance creates an isolated cloud environment for a single database engine per instance, supports multiple schemas, and uses parameter groups to tune behavior.

Choose the right Amazon RDS instance class by balancing memory, vCPU, and bandwidth, from standard to burstable to memory-optimized, and scale processing power and storage as needed.

Explore aws rds storage options: general purpose ssd, provisioned iops ssd. Rds stripes data across ebs volumes for performance, including log storage, with latency and iops determined by volume size.

Explore how AWS RDS uses regions and availability zones to host databases in multiple locations, enabling read replicas, failover, and closer proximity to global audiences.

Create and connect a demo AWS RDS MySQL database using a T2 micro instance with 20 GB general purpose SSD, public access, VPC subnet, and basic backups and maintenance settings.

Learn to create an AWS RDS Oracle database, connect with SQL Developer, configure security groups, test connectivity, and manage backups, maintenance, and deletion protection.

Learn to create a Microsoft SQL Server RDS instance on AWS, choosing edition, license, engine version, and production status, then configure public access and security groups.

Create read replicas from a primary database to serve read-only workloads with asynchronous replication. Promote replicas to standalone primary and deploy across regions for latency and disaster recovery.

Learn to create and promote an Amazon RDS read replica for a master database, noting endpoints, region options, encryption, backups, and how promotion yields a standalone database.

Discover how option groups enable features like ssl and time zone settings for rds instances, and how parameter groups act as engine configuration containers you customize by creating your own.

Understand the AWS RDS billing model by exploring instance hours, storage per gig, I/O requests per million, backups, data transfer, and on-demand versus reserved pricing.

Explore the Amazon RDS cost calculator to estimate on-demand and reserved pricing for MySQL databases, across regions, with storage, backups, data transfer, and license included vs bring your own license.

Aws rds delivers a managed relational database service that automates backups, snapshots, scaling, and read replicas across engines like MySQL and Aurora. Configure parameter and option groups and understand pricing.

Explore Amazon Aurora, a MySQL and PostgreSQL compatible relational database service delivering up to five times the throughput and automatic storage scaling from 10 GB to 64 TB.

Discover Amazon Aurora features like snapshots and backtrack up to 72 hours, encryption at rest, and seamless cloning and migration with SSL, VPC isolation, and IAM.

Set up an Amazon Aurora database cluster with read replicas to boost throughput, enable publicly accessible access in a VPC, and connect via the database endpoint.

Explore Amazon Aurora pricing by comparing on-demand versus reserved instances, storage, backup storage, backtrack, and data transfer costs across regions.

Explore Amazon Aurora Serverless, an on-demand, auto-scaling database that provisions capacity in Aurora capacity units, charges per second with a five-minute minimum, and shuts down during inactivity.

Set up an Amazon Aurora serverless database by selecting Aurora and MySQL 5.6 compatibility, configuring a cluster with a master user and password, and defining min and max capacity.

Aurora RDS provides a fast, robust alternative to open-source MySQL and PostgreSQL, comparable to Oracle and SQL Server, with six data copies across three availability zones in a scalable cluster.

Explore Amazon RDS backups, including automated backups with a backup window and 0–35 day retention, and manual incremental snapshots for cross-region copies and point-in-time restoration.

Explore AWS RDS snapshots and backups, including automated and manual snapshots, and how to restore from a snapshot. Copy and share encrypted snapshots across regions and accounts.

Learn to back up and restore an AWS RDS database using automated and manual snapshots, and perform point-in-time recovery to recreate a MySQL database with its own endpoint.

Amazon RDS automatically backs up by default, supports manual snapshots, and restores to a point in time within 1–35 days, creating a new database with a new DNS.

Explore how multi-az RDS provides high availability with a synchronous standby replica in a different availability zone, enabling automatic failover during maintenance or outages without requiring app changes.

Amazon RDS automatically fails over from the primary to the standby replica in multi-az deployments, switching DNS and requiring no user action, with failover completing in one to two minutes.

Demonstrates setting up a multi-az Amazon RDS for MySQL, provisioning a production database across availability zones, and configuring a VPC, security groups, backups, and cost considerations.

Learn how multi-AZ deployments create a standby database for automatic failover, with AWS handling provisioning and traffic redirection, and understand the cost implications and use of read replicas.

Establish a baseline and monitor aws rds performance for cpq, ram, network traffic, and database connections, using automated and manual tools to trigger alerts and maintain 24/7 availability.

Explore Amazon RDS automated monitoring tools, including RDS events, automated snapshots, and log files, then integrate CloudWatch and Enhanced Monitoring to set alarms, trigger actions, and gain real-time metrics.

Monitor RDS with CloudWatch, view real-time metrics, and retain data for up to 14 days. Create alarms on CPU utilization, notify via SNS, and enable auto scaling for read replicas.

Set up an sns topic and email/phone subscriptions to receive rds alarms, then configure a cloudwatch cpu utilization alarm for the database with an 85% threshold over 15 minutes.

Discover manual monitoring tools for AWS RDS, including cloud watch alarms, log review, and console dashboards to monitor connections, storage, memory, security groups, and backups.

Explore how to configure Amazon RDS event notifications with the simple notification service, create topics, subscribe to categories (backup, production), and tailor alerts via email or text.

Explore how to create and manage AWS RDS event notifications and subscriptions, configure topics, target instances or clusters, and receive alerts for backups and other events.

Explore Amazon RDS database log files, learn which logs you can view or download via the RDS console, command line, or API, and note that transaction logs are not available.

Explore amazon rds performance insights, a lightweight aws dashboard that visualizes database load and filters by waits. Use aurora postgres and mysql-compatible editions; not available for oracle or sql server.

Enable AWS RDS performance insights to monitor database activity with graphs, view current activity, and investigate slow queries and load patterns across seven days, with extended retention options.

Explore Amazon RDS enhanced monitoring, which provides OS metrics for your database instance, viewable in the console or via CloudWatch logs, with a cost that scales beyond the free tier.

Learn how AWS RDS provides automated recommendations for engine version updates, backups, encryption at rest, and security patches, and how to apply or schedule them in the console.

Explore how AWS RDS monitoring uses automated tools—enhanced monitoring, performance insights, and CloudWatch alarms—to track performance and trigger notifications, with console-based advisories and dashboards for action.

Explore AWS RDS limits, including per-region resource caps and naming and file size constraints. Learn how to request increases for instances, security groups, snapshots, and storage.

Explore AWS RDS naming constraints for database instance identifiers and database names, including first character rules and uniqueness. Review 16-terabyte per-table file size limits and why smaller tables improve performance.

Delete all lab resources in AWS RDS to avoid costs by removing databases and both automated and manual snapshots; then clean up VPCs, security groups, and review performance insights dashboards.

Discover AWS resources such as the simple calculator and the total cost of ownership calculator to compare on-premises versus cloud costs and support in-house monitoring.

Celebrate completing the course and apply hands-on labs that show how to set up, configure, and maintain it, price out usage, and manage multi-audience scenarios.