AWS Developer Tools Blog
Serverless Service Discovery: Part 4: Registrar
In this, the last part of our serverless service discovery series, we will show how to register and look up a new service. We will add these components: AWS Lambda Registrar Agent In Docker, it is common to have container agents that add functionality to your Docker deployment. We will borrow from this concept and […]
Serverless Service Discovery: Part 3: Registration
In this, the third part of our serverless service discovery series, we will show how to configure Amazon API Gateway to require AWS Identity and Access Management (IAM) for authentication and how to create a V4 signature to call our register and deregister methods. We have created all the functions required to manage our API […]
Serverless Service Discovery: Part 2: Lookup
In this, the second part of our serverless service discovery series, we will use Amazon DynamoDB to store information about the services in our service discovery service and update our AWS Lambda function to read information from the DynamoDB table. Updating Amazon API Gateway and AWS Lambda As part of adding new functionality to what […]
Serverless Service Discovery – Part 1: Get Started
AWS provides a lot of features and services for writing serverless architectures with Python. In this four-part series, we will show how you can use Python to manage and implement Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. We will use a common use case, service discovery, to showcase a simple way to do this […]
Using Amazon SQS with Spring Boot and Spring JMS
By favoring convention over configuration, Spring Boot reduces complexity and helps you start writing applications faster. Spring Boot allows you to bootstrap a framework that abstracts away many of the recurring patterns used in application development. You can leverage the simplicity that comes with this approach when you use Spring Boot and Spring JMS with […]
Parallelizing Large Uploads for Speed and Reliability
As Big Data grows in popularity, it becomes more important to move large data sets to and from Amazon S3. You can improve the speed of uploads by parallelizing them. You can break an individual file into multiple parts and upload those parts in parallel by setting the following in the AWS SDK for Java: […]