aws-samples/aws-cdk-examples

Features

• Cloud Infrastructure Deployment - Implements programmable resource patterns to automate the deployment of compute, storage, and networking on cloud infrastructure.
• Imperative Infrastructure Definitions - Provides a comprehensive library of cloud infrastructure defined using general purpose programming languages via the AWS CDK.
• Infrastructure as Code Examples - Serves as a comprehensive reference library of code patterns for deploying AWS infrastructure via the CDK.
• Serverless Backend Hosting - Provides reference implementations for deploying cohesive serverless backends integrating API gateways and NoSQL databases.
• Infrastructure as Code - Uses general purpose programming languages to define and manage cloud infrastructure via the AWS CDK.
• Multi-Language AWS Samples - Provides multi-language samples for serverless architectures including GraphQL APIs and WebSocket endpoints.
• Cloud Infrastructure Automation - Automates the setup of compute, storage, and networking resources using the AWS CDK.
• Cloud Infrastructure Management - Includes pre-configured stacks for provisioning and managing relational databases and object storage.
• Virtual Private Clouds - Demonstrates how to provision virtual private clouds with segregated public and private subnets.
• Cloud Provisioning - Provides code patterns to define and deploy combinations of compute, database, and monitoring services.
• Container Cluster Deployments - Demonstrates how to automate the installation and management of container orchestration systems using code.
• Container Orchestrators - Implements the deployment and scaling of containerized applications using cloud orchestration services.
• Cloud Application Stacks - Provides reference implementations for integrating serverless and containerized services into production-ready cloud architectures.
• Event-Driven Triggers - Implements mechanisms for initiating serverless functions in response to object storage events or cron schedules.
• Infrastructure-as-Code Templates - Provides structured blueprints and reusable templates for defining complex serverless and containerized stacks.
• Infrastructure as Code Toolkits - Provides a comprehensive collection of code patterns for defining cloud infrastructure using general purpose programming languages.
• Cloud Resource Constructs - Demonstrates how to create reusable high-level constructs to simplify the definition of complex cloud infrastructure.
• Serverless Architectures - Implements architectural patterns for building cohesive serverless backends integrating API gateways, compute, and NoSQL databases.
• Cloud Architecture Patterns - Assembles diverse cloud services like compute, storage, and networking into single, cohesive infrastructure stacks.
• Cloud Database Provisioning - Provides patterns for deploying managed SQL database instances within a dedicated virtual private cloud.
• Cluster-Wide Shared Storage - Shows how to mount network file systems to containerized services for persistent shared storage.
• Cloud Object Storage - Demonstrates provisioning object storage with custom access points and shared file systems.
• Managed Relational Databases - Provides reference designs for provisioning managed SQL databases within isolated network topologies.
• Event-Driven Automation Engines - Coordinates distributed components using state machines and event triggers to automate background tasks.
• Task Scheduling - Demonstrates the automation of serverless function execution based on recurring time intervals or schedules.
• Cloud-Instance Auto-scaling - Shows how to provision compute instances within auto-scaling groups fronted by load balancers.
• Multi-Step Workflow Orchestration - Implements multi-step state machine workflows to coordinate distributed serverless components.
• Task Schedulers - Implements tools for executing persistent background tasks or scripts at scheduled intervals.
• Cloud Container Deployments - Demonstrates the deployment of containerized applications on managed cloud orchestration services.
• GraphQL API Endpoints - Implements the deployment of GraphQL endpoints for handling content operations and authentication.
• Abstraction Escape Hatches - Includes examples of using escape hatches to override low-level resource properties for fine-grained infrastructure control.
• Container Orchestration Configurations - Offers sample configurations for deploying containerized applications with load balancers and auto-scaling.
• Elastic Load Balancers - Configures cloud-native load balancers to distribute traffic across auto-scaling groups and container services.
• Containerized Application Deployments - Shows how to launch containerized applications on serverless platforms with integrated load balancing.
• Containerized Service Orchestration - Provides examples for deploying and managing backend services within isolated container environments.
• Static Website Hosting - Provides automated deployment patterns for static web content using cloud storage and content delivery networks.
• Distributed Workflow Orchestrators - Defines state-machine based workflows to coordinate distributed serverless components.
• Recurring Job Scheduling - Provides examples of executing tasks on a fixed timetable using CRON expressions for cloud jobs.
• Serverless WebSocket - Demonstrates the deployment of serverless WebSocket servers to live domains with unique URLs.
• Serverless API Frameworks - Provides patterns for building REST and GraphQL APIs within serverless environments.
• Serverless API Deployments - Provides code samples for launching API gateways integrated with compute functions and databases.
• Serverless - Includes patterns for deploying WebSocket endpoints that utilize cloud functions for real-time messaging.
• Cloud Topology Provisioning - Demonstrates automated orchestration of cloud-specific network layouts with isolated public and private subnets.
• State Machine Orchestrators - Provides reference implementations for coordinating distributed serverless components using state-machine based workflow orchestration.
• CRUD API Implementations - Provides patterns for connecting API gateways to compute functions for NoSQL data operations.
• GraphQL API Implementations - Shows how to implement server-side GraphQL interfaces with resolvers for database operations.

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