Discover how to build and deploy serverless applications using AWS Lambda and Amazon API Gateway. This practical tutorial explains event-driven computing, function deployment, API integration, and the benefits of serverless architecture.

A visual guide to deploying a Django REST API from localhost to AWS using Docker, Amazon ECR, Amazon ECS with Fargate, and Amazon RDS. Discover how containerization and AWS cloud services help build secure, scalable, and reliable backend applications.

Discover more about what's new at AWS with AWS Step Functions now supports Amazon API Gateway service integration

Learn Amazon VPC from scratch! Explore CIDR blocks, public and private subnets, Internet Gateways, NAT Gateways, route tables, security groups, and how to build secure AWS network architectures.

Learn how to build a serverless REST API using Amazon API Gateway, AWS Lambda, and DynamoDB. This beginner-friendly guide explains CRUD operations, API integration, database management, security, monitoring, and deployment.

Learn what Amazon API Gateway is, how it routes API requests to backend services, and how HTTP, REST, and WebSocket APIs differ. Explore its main features and how it works with AWS Lambda.

Compare spec-based and traffic-based API regression testing on AWS, using API Gateway OpenAPI exports, recorded traffic, and CI pipelines in CodePipeline.

AWS announces general availability of the Web Search API on Amazon Bedrock AgentCore, enabling web searches via a single API call with ranked results and flexible filtering options.

Discover more about what's new at AWS with Amplify CLI enables serverless container deployments using AWS Fargate

AWS Lambda durable functions has increased default quotas for running executions and API request rates. The new quotas below apply in all AWS Regions except US East (N. Virginia), US West (Oregon), and Europe (Ireland), which have twice these quotas. Running durable executions per account (1 million to 5 million) Function invocation rate to start durable executions (300 to 3,000 requests per second) CheckpointDurableExecution and GetDurableExecutionState (1,000 to 10,000 requests per second) SendDurableExecutionCallbackSuccess, SendDurableExecutionCallbackFailure, and SendDurableExecutionCallbackHeartbeat (300 to 3,000 requests per second) GetDurableExecution and StopDurableExecution (30 to 300 requests per second) GetDurableExecutionHistory and ListDurableExecutionsByFunction (15 to 150 requests per second) AWS Lambda durable functions helps you build resilient multi-step applications and AI workflows that execute for up to one year, with built-in checkpointing, automatic retries, and waits that suspend execution without incurring compute charges. With this increase, workloads such as order processing and document pipelines can run more executions in parallel without requesting quota increases. When many executions wait on external work, such as payment confirmations or batch jobs, more can resume together. If you monitor and manage executions with your dashboards or scripts, they can now check status, list executions, read history, and stop executions at least ten times as often. The new quotas apply in all AWS Regions where AWS Lambda durable functions is available. To learn more, see Lambda quotas in the AWS Lambda Developer Guide.

Build a Serverless REST API on AWS Using Lambda, API Gateway, and DynamoDB

Explore how AWS serverless services can be used to design a Student Productivity App. Learn about AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3 in a practical application architecture.

Kurkik is the messaging-infrastructure side of a self-maintaining API. It reads your on-premise or cloud brokers, writes what it finds as AsyncAPI, and catches drift between your documents and what ac...