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Found 9 results

  1. There are several steps involved in implementing a data pipeline that integrates Apache Kafka with AWS RDS and uses AWS Lambda and API Gateway to feed data into a web application. Here is a high-level overview of how to architect this solution: 1. Set Up Apache Kafka Apache Kafka is a distributed streaming platform that is capable of handling trillions of events a day. To set up Kafka, you can either install it on an EC2 instance or use Amazon Managed Streaming for Kafka (Amazon MSK), which is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. View the full article
  2. WebSocket is a common communication protocol used in web applications to facilitate real-time bi-directional data exchange between client and server. However, when the server has to maintain a direct connection with the client, it can limit the server’s ability to scale down when there are long-running clients. This scale down can occur when nodes are underutilized during periods of low usage. In this post, we demonstrate how to redesign a web application to achieve auto scaling even for long-running clients, with minimal changes to the original application... View the full article
  3. Let's walk through a more detailed step-by-step process with code for a more comprehensive API Gateway using YARP in ASP.NET Core. We'll consider a simplified scenario with two microservices: UserService and ProductService. The API Gateway will route requests to these services based on the path. Create two separate ASP.NET Core Web API projects for UserService and ProductService. Use the following commands... View the full article
  4. Great post about application authentication and authorization on AWS; https://blog.cloudcraft.co/application-authentication-and-authorization-on-aws/
  5. Customers can now create HTTP APIs that route requests to the new AWS Step Functions Synchronous Express Workflows. View the full article
  6. Customers can now create HTTP APIs that route requests to the new AWS Step Functions Synchronous Express Workflows. View the full article
  7. AWS Step Functions is now integrated with Amazon API Gateway REST and HTTP APIs, making it faster and easier to build application workflows including microservices created by API Gateway. You can use the API Gateway integration to create a workflow that orchestrates HTTP and REST APIs acting as the ‘front door’ for business logic running on AWS Lambda, a serverless compute service or Amazon Elastic Container Service, fully managed container orchestration service. View the full article
  8. Amazon API Gateway now supports disabling the default, auto-generated REST API endpoint. The default REST API endpoint in API Gateway looks like https://{restapi_id}.execute-api.{region}.amazonaws.com. This feature is intended for customers who use custom domain names for REST APIs and want to ensure that all traffic to their API only goes through the custom domain name and not the default endpoint. This feature was already available for HTTP APIs. Now, it is available for REST APIs too. View the full article
  9. Amazon CloudWatch Application Insights, adds additional storage volume metrics to provide further insights to your storage performance and health along with the new ability to monitor your API Gateway functions. CloudWatch Application Insights is a capability that helps enterprise customers easily setup application monitoring and enhanced observability for AWS resources. The new Elastic Block Store (EBS) metrics provide further details on storage volumes. The integration with the API Gateway service provides insights to the various API commands run through the gateway. View the full article
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