Category: AWS Lambda

By combining DynamoDB streams with Lambda, you can build responsive, scalable, and cost-effective systems that automatically react to data changes in real time. In this post, we explore best practices for architecting event-driven systems using DynamoDB and Lambda. DynamoDB provides two options for capturing data changes (CDC): DynamoDB streams and Amazon Kinesis Data Streams (KDS). In this post, we focus exclusively on DynamoDB streams.

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.

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 […]

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 […]

As organizations adopt modern application architectures such as microservices, application teams tend to retrofit one-size-fits-all databases. The mortgage industry is going through unprecedented transformation due to changing generation technologies such as API adoption. In the mortgage industry, API-enabled software allows lenders, issuers, borrowers, and more to integrate different functionalities into their portal, meaning they bring […]

Customer databases are constantly growing. When you increase storage for a database in Amazon Relational Database Service (Amazon RDS), you can’t make further storage modifications for either 6 hours or until storage optimization has completed on the instance, whichever is longer. Amazon RDS storage autoscaling increases storage by 10 GiB, 10% of currently allocated storage, […]

In this post, we discuss how to perform aggregations on a DynamoDB table using Amazon DynamoDB Streams and AWS Lambda. The content includes a reference architecture, a step-by-step guide on enabling DynamoDB Streams for a table, sample code for implementing the solution within a scenario, and an accompanying AWS CloudFormation template for easy deployment and testing.

The new proof-of-stake consensus mechanism on Ethereum blockchain network allows network participants to earn rewards without spending a lot of computational power for playing a part in securing the network. Unlike miners, validators don’t need to spend many CPU cycles to produce new blocks. They stake 32 ETH (the native cryptocurrency on Ethereum) to be […]

Non-fungible tokens (NFTs) have captured global attention as a mechanism for creating one-of-a-kind digital assets that can be instantly verified as authentic, easily exchanged between users, and made infinitely programmable such that NFTs can be used for a variety of use cases and industries. At its core, NFTs are a form of digital asset or […]

Today marks the one-year anniversary of the launch of Amazon MemoryDB for Redis. On 8/19/2021, AWS announced the general availability of Amazon MemoryDB for Redis, a fully managed, Redis-compatible database, that delivers both in-memory performance and Multi-AZ durability. Over the past year, thousands of customers have adopted MemoryDB as their primary database for critical workloads […]