Category: Compute

Amazon RDS provides different instance types optimized to fit different relational database use cases. You can modify provisioned instances manually from the Amazon RDS console or using an API. When modifications need to be done on a recurring basis, such as scaling an instance up and down during predefined periods of time, you can automate the task using EventBridge Scheduler and Lambda. In this post, we present a solution using Amazon EventBridge Scheduler and AWS Lambda that allows you to schedule a programmatic modification of a DB instance with specific tags.

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

GoldenGate supports Classic and Microservices Architectures. In Part 1 of this series, we covered high availability for GoldenGate classic architecture in AWS. In this post, we discuss a reference architecture for GoldenGate Microservices Architecture (MA) in AWS. The GoldenGate Hub is a widely used deployment model that simplifies operations and lessens the use of system resources on both the source and target systems. This is in contrast to the conventional method where GoldenGate components run directly on the source and target systems.

In September 2022, Ethereum transitioned to a Proof of Stake (PoS) consensus model. This change allows anyone with a minimum of 32 ether to stake their holdings and operate a validator node, thereby participating in network validation and earning staking rewards. In this post, we explore the technical challenges and requirements of operating an institutional-grade Ethereum staking service. Additionally, we outline a solution for deploying an Ethereum staking service on AWS.

In this post, we provide different options for data migration from an SAP ASE on-premises database to SAP ASE on Amazon Elastic Compute Cloud (Amazon EC2) based on the size of data, application downtime, and data compliance. The migration methods include using AWS Database Migration Service (AWS DMS) and SAP ASE native features.

In this post, we demonstrate how you can use Spring Cloud to interact with Amazon 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.

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Serverless technologies eliminate infrastructure management tasks […]

WAX is a blockchain-based system designed for the unique demands of the gaming industry. It provides high transaction throughput and near-instant block finality. With WAX, game developers can decouple in-game digital assets from a single in-game world and let gamers use them in new contexts such as building walls of fame, creating personal online trophy […]

Over the last 2 years, layer 2 technologies have gained traction and are solving the scaling constraints of Ethereum. L2beat provides a consolidated view of the different layer 2 projects. At the time of writing, Arbitrum represents approximatively half of the market value of layer 2 solutions. AWS offers a variety of services to help […]

AWS Lambda is a serverless compute offering that helps you design event-driven architectures. It provides direct integration with multiple AWS services, including Amazon Aurora MySQL-Compatible Edition. In this post, we show you how to invoke Lambda functions from Amazon Relational Databases Service (Amazon RDS) for MySQL and Amazon RDS for MariaDB using Amazon CloudWatch and […]