AWS Cloud Development Kit - From Beginner to Professional

Deploy a single CDK project to multiple environments across AWS accounts. Configure environment-specific features like encryption, versioning, and retention for prod, using environment flags and profiles instead of hard coding.

Learn best practices for deploying production stacks with the CDK by binding deployments to specific regions and accounts using profiles, and managing bucket removal policies for stable, region-bound deployments.

Learn to parameterize aws cdk stacks with cdk.json context variables, preserving region, account, and encryption settings, including dev and prod configurations.

Create a highly available, multi-AZ custom VPC with public, private, and database subnets using AWS CDK, including a NAT gateway, routing, security groups, and stack outputs.

Learn how to tag CDK resources like VPC, subnets, and S3 using core.tag.add in the Cloud Development Kit, synthesize and deploy, and apply tags globally across stacks.

Tag all resources in a stack at scale by applying stack-level tags from context in one place, enabling uniform owner and environment tags across VPCs and S3 buckets.

Import pre-existing resources such as S3 buckets and VPC into a CDK stack, then create a VPC peering connection without modifying the original resources.

Launch and bootstrap an EC2 web server using user data in CDK, installing httpd and opening port 80 in a security group to obtain the instance's public IP.

Explore launching an EC2 with a custom instance profile in CDK, attaching SSM agent and S3 read-only policies to enable remote management and log delivery to CloudWatch without SSH keys.

Learn how to launch an EC2 instance with the latest Amazon Linux AMI dynamically in any AWS region using CDK, avoiding hard-coded IDs, and deploy the same stack across regions.

Launch an EC2 instance with a provisioned IOPS EBS volume using the CDK, configure a block device mapping, and attach an 8 GB IOPS 400 volume for improved performance.

build a highly available web app by configuring an auto scaling group behind an application load balancer using CDK, including listeners, target groups, security groups, and health checks.

Create aws ssm parameters and secrets using the cloud development kit, building simple and hierarchical configurations, secret values, and templated secrets for secure app and database access.

Use the CDK to create IAM users and a group, and auto generate passwords with Secrets Manager. Add users to the group to grant permissions and obtain login URLs.

Create custom IAM roles and policies with CDK, attaching managed and inline policies to groups or users for fine-grained access to Parameter Store, Secrets Manager, and S3.

Learn to create an S3 bucket resource policy with CDK, including public HTML access and a deny for non secure transport, using IAM policy statements.

Learn to create an SNS topic and email subscription with the AWS CDK, deploy the stack, and verify delivery by receiving a test message in your mailbox.

Learn to create a fully managed SQS FIFO queue with CDK, including encryption with KMS, four-day retention, and a 45-second visibility timeout for reliable microservice communication.

Create and attach CloudWatch log groups to Lambda and other resources with CDK, enabling centralized logging, housekeeping, and deletion when the stack is destroyed using a removal policy.

DynamoDB is a fully managed NoSQL database in the cloud that serves as a multi-master key-value store and document store, ideal for low-latency global applications.

Discover how to grant least privileges to a Lambda function by applying fine-grained access to S3 and DynamoDB with CDK, starting from default permissions and narrowing to a specific table.

Learn to provision an AWS API Gateway as a front for a Lambda function using CDK, enabling stages, throttling, and edge-optimized deployments to reduce latency.

Learn to build CloudWatch alarms and metrics for EC2 and Lambda using CDK, set thresholds for CPU and errors, and notify via an SNS topic.

Learn to create custom CloudWatch metrics from Lambda logs, use filter patterns to detect true/false failures, and trigger alarms with SMS notifications to ops teams.

Use the AWS CDK to deploy a static website on a versioned, public read access S3 bucket with an index.html root and an error page.

Build a serverless rest api with api gateway, Lambda, and DynamoDB to handle requests, run business logic, and persist user likes end-to-end.

Set up a serverless DynamoDB event processor using DynamoDB streams and a Lambda function to trigger downstream actions and log events in CloudWatch.

Build a containerized microservice architecture on AWS by provisioning a VPC, an ECS cluster, and auto scaling group, then deploy a web service behind Application Load Balancer with CDK constructs.

Run serverless containers with AWS Fargate by building a VPC and an application load balancer. Configure health checks, target groups, and scale tasks across two availability zones.

Design a serverless batch processing architecture with AWS Fargate, scheduled via CloudWatch Events, using CDK to deploy a Fargate cluster and scheduled tasks.

Explore building a serverless, containerized chat application on AWS using CDK, deploying with Fargate, an application load balancer, and scalable container definitions for real-time multi-user chat.