AWS Master Class: Databases In The Cloud With AWS RDS

Explore the AWS RDS service and follow a step-by-step walkthrough to deploy a brand-new database instance in the cloud, while reviewing the introductory module.

Get introduced to AWS RDS, exploring supported engines like MySQL, Oracle, PostgreSQL, SQL Server, and MariaDB, and learn installation, configuration, multi-AZ deployment, backups, read replicas, and security.

Set up a new AWS RDS database by selecting a region and engine (MySQL, PostgreSQL, or Oracle), then connect, verify connectivity, and plan for dev, test, or production with sizing.

Deploy a new MySQL database instance through the launch wizard, choosing dev/test or production, selecting the latest engine version, license, and instance class, and enabling optional high availability.

Learn to deploy an AWS RDS instance, choose storage types (gp2, provisioned IOPS, magnetic), set credentials and database options, and configure VPC, public access, and security groups for secure access.

Deploy an AWS RDS instance and configure automated backups and maintenance, including seven-day default backups, a backup window and a maintenance window, up to 30 days retention.

Deploy an AWS RDS instance in a new VPC, leveraging AWS networking to set up a dedicated database environment.

Explore AWS VPC fundamentals, its private isolated networks, subnets, and security features, and learn how to deploy a VPC for secure, highly available database instances across multiple availability zones.

Learn how AWS VPC components like subnets, IP address reservations, route tables, and security groups control access to a database in the cloud, including public and private subnet deployments.

Navigate to the AWS management console and deploy a brand new VPC. Select the North Virginia region, configure a VPC with CIDR 192.168.0.0/16, and add name tags and tenancy settings.

Create the VPC subnets—a private subnet for the database and a public subnet for web resources—with careful CIDR blocks, then configure an internet gateway and separate route tables.

Configure your VPC with public and private subnets, route tables, and an internet gateway; then set explicit subnet associations, a 0.0.0/0 route, and security groups allowing inbound port 3306.

Create a database subnet group in the VPC and add all subnets. Launch a new AWOS RTX database instance while avoiding the public subnet for security.

Launch an AWS RDS instance in a custom VPC choosing MySQL. Configure dev/test environment, db.t2.micro, general purpose SSD, multi-availability deployment, and backups.

Launch a public-subnet EC2 in the same VPC, assign a public IP, and use a key pair and security group; SSH into it to connect to the private RDS instance.

Discover how to connect to an AWS RDS instance using the MySQL client, locate the endpoint, and execute basic queries in a private subnet.

Explore operational guidelines for running and optimizing AWS RDS databases within a VPC, helping streamline your infrastructure and database operations.

Learn how to monitor AWS RDS databases with CloudWatch, track core metrics like CPU utilization, memory, storage, IOPS, and read/write latency, and set real-time alerts to ensure performance and security.

Monitor your AWS RDS database using CloudWatch in the management console, track CP utilization, memory, storage, and IOPS, and compare performance and scalability to optimize your deployment.

Learn to monitor and optimize AWS RDS performance with CloudWatch, tracking query throughput, connections, and resource utilization, and plan scalable capacity using appropriate instance types and IOPS.

Implement robust security for your AWS RDS databases by configuring IAM users and roles with permissions and security groups, using encryption in transit and at rest, enabling auditing with CloudTrail.

Explore how to implement a robust backup and restore strategy using AWS RDS, leveraging backup and recovery features for mature database setups.

Learn how to back up an RDS database with automated backups and manual snapshots. Restore to any point in time, configure backup windows and retention, and share snapshots with others.

Manage an AWS RDS database in the cloud by creating and reviewing snapshots, understanding automated backups, and supporting multi-AZ failover and maintenance windows.

Learn how to take an AWS RDS database snapshot, verify its details, and share, copy, encrypt, or delete snapshots with private or public visibility and cross-region support.

Learn how to restore an AWS RDS database from a snapshot to a specific point in time, creating a new restored instance and optionally using it as the new master.

Understand manual database snapshots in AWS RDS to extend retention, enable cross-region restoration, and protect against automated backup gaps by copying and sharing snapshots.

Discover AWS RDS high availability features, including multi-AZ, to boost scalability and performance. Learn how AWS RDS enables easy deployment of a robust database with a few clicks or commands.

Discover how AWS RDS multi-AZ deployments ensure high availability by synchronously replicating a primary database to a standby across zones, with automatic failover and read replicas for read-heavy workloads.

AWS RDS multi-AZ deployments use synchronous replication to keep standby up to date, enabling automatic failover within minutes during primary failures or outages, with minimal admin effort.

Observe an AWS RDS failover in a multi-AZ setup as the secondary replica promotes to primary, while a Python script monitors connectivity via a jump host.

Demonstrates AWS RDS failover by running a Python script that fetches and dumps the users table data, showing the secondary becomes master during reboot with transparent failover.

Learn how read and write operations behave during an AWS RDS failover, performing CRUD updates via a proxy in a multi-AZ setup, and verify data consistency across replicas.

Learn how AWS RDS handles failover during CRUD operations, maintaining data consistency as you fetch, insert, and delete records across the primary and secondary databases during reboot and failover.

Learn how to integrate a Python Flask web application with AWS RDS, test failover handling, and deploy a public web app that connects to a MySQL bucket list database.

Sign up users in a web app, verify their records in the tbo users table with hashed passwords, and test secondary replica failover to ensure zero downtime and data integrity.

Learn how AWS RDS read replicas offload read queries to scale out for read-heavy workloads, promote replicas to master, and use replication for disaster recovery with synchronous replication.

Learn to deploy an AWS RDS read replica to scale reads, using asynchronous replication from a master instance, with region, subnet group, and access settings.

Connect to AWS RDS master and read replica via proxy, retrieve endpoints from the console, open separate terminal tabs for master and replica, and establish simultaneous connections.

Route read queries to an AWS RDS read replica by updating the API to use the replica endpoint, then restart the app to verify offloading reads from the master.

Shows AWS RDS master to read replica replication in action, with a master database creating a test database and a Flask API for querying and inserting data.

Explore the basics of cloud computing with Amazon Web Services and understand why the AWS ecosystem supports scalable, sophisticated applications.

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Explore how startups and enterprises—from Instagram and Netflix to Unilever and Nokia—rely on AWS for cloud infrastructure, analytics, and hybrid deployments, accelerating innovation and reducing costs.

Discover how AWS services power enterprise applications with analytics, real-time streaming, data warehouse, and collaboration tools, built on secure infrastructure across regions, availability zones, and compliance.

Explore the AWS cloud platform across compute with auto scaling and load balancing, storage and databases, networking, dev ops, AI and ML, mobile and IoT services, plus the free tier.

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