Category: HAQM Elastic Container Service

In this post, we explore the fundamentals of building containerized applications for HAQM DocumentDB using Quarkus with the Panache ORM library. We cover the processes of containerizing your code, building an image, and deploying it using HAQM ECS with AWS Fargate.

In this post, we demonstrate how you can use Spring Cloud to interact with HAQM DynamoDB and capture table-level changes using Kinesis Data Streams through familiar Spring constructs. We run you through a basic implementation and configuration that will help you get started.

This post discusses the implementation details of an Ethereum smart contract CI/CD pipeline as outlined in a previous post, which is considered a prerequisite to the topics discussed in this post. Part 1 highlighted some of the challenges faced by a multi-developer team implementing a decentralized application (dApp) and how CI/CD can help address those […]

Deploying containerized applications with cloud database services can involve many manual steps, such as configuring networks and securing database connections from the applications. To simplify development and deployment, you can use infrastructure as code (IaC) to build, configure, deploy, and scale containerized applications automatically. In this post, I show you how to use IaC concepts […]

In this post, we walk you through an example of how you can use HAQM Keyspaces (for Apache Cassandra) with HAQM Elastic Container Service (HAQM ECS) to modernize your existing Cassandra workloads. These services use open standards that allow customers to migrate their existing workloads to take advantage of these services’ fully managed capabilities and […]

Microservices architectures provide development teams a mechanism to reduce time to market, and enable hyper-scaling of business-critical applications. They also provide the flexibility to make technology decisions best suited for the needs of each service. This includes the selection of a purpose-built database to store and retrieve data in a highly scalable and efficient manner. […]