AWS Database Blog

Category: AWS Lambda

Automate post-database creation scripts or steps in an Amazon RDS for Oracle database

In some cases, Database Administrators (DBAs) need to run post-database creation steps such as running SQL statements for creating users and database objects, resetting passwords, or standardizing Oracle database builds. This is mainly done during the database creation phase of new application deployment or during database refreshes that occur in non-production environments. AWS CloudFormation gives […]

Read More

Verify delivery conditions with the Accord Project and Amazon Quantum Ledger Database – Part 2

This is part two of the two-part series of blog posts discussing how to apply smart legal contracts technology to verify delivery conditions with open-source Accord Project and Amazon Quantum Ledger Database service. In the first part we introduced the smart legal contract technology, a sample delivery process, and reviewed the solution to run smart legal contracts on AWS with Accord Project. […]

Read More

Verify delivery conditions with the Accord Project and Amazon Quantum Ledger Database – Part 1

Smart legal contracts are an emerging technology in the legal tech domain. Their main goal is to make the verification of terms and conditions in legal contracts more efficient. Unlike smart contracts, which are self-running programs in distributed ledger databases (usually in blockchain-based systems), smart legal contracts represent an entire legal contract. They combine a […]

Read More

Deploy multi-Region Amazon Aurora applications with a failover blueprint

Certain organizations require multi-Region redundancy for their workloads to achieve disaster recovery and business continuity. Disaster recovery is an important part of resiliency strategy and concerns how a workload responds when a disaster strikes. The most common pattern to have as a disaster recovery solution in AWS is to build a multi-Region application architecture including […]

Read More

Build a graph application with Amazon Neptune and AWS Amplify

More and more organizations are adopting graph databases for various use cases, such as legal entity lookup tools in the public sector, drug-drug interaction checkers in the healthcare sector, and customer insights and analytics tools in marketing. If your application has relationships and connections, using a relational database is hard. But Amazon Neptune, a fully […]

Read More

Build a GraphQL API for Amazon DocumentDB (with MongoDB compatibility) using AWS AppSync

AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like Amazon DynamoDB, AWS Lambda, and more. Adding caches to improve performance, subscriptions to support real-time updates, and client-side data stores that keep off-line clients in sync are just […]

Read More

Schedule Amazon RDS stop and start using AWS Lambda

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Traditional relational databases require time spent on capacity planning, maintenance, backup, and recovery; a substantial amount of a database administrator’s time is lost to these tasks. Amazon RDS helps DBAs to focus on other […]

Read More

Amazon QLDB data streaming via AWS CDK

Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. You can use Amazon QLDB to track each application data change, and it maintains a complete and verifiable history of changes over time. Because of those key features, banking customers have adopted Amazon QLDB as a database […]

Read More

Use Python SQLAlchemy ORM to interact with an Amazon Aurora database from a serverless application

As organizations work to modernize their traditional applications to an event-driven, serverless model, a question that comes up frequently is how the object-relational mapping (ORM) layer should be managed. Packaging it with AWS Lambda functions increases its size and adds a cognitive burden on the development team to track. In addition, many organizations have requirements […]

Read More

Visualize your AWS Infrastructure with Amazon Neptune and AWS Config

As an organization, you run critical applications on AWS, and the infrastructure that runs those critical applications can be spread across different accounts and have complex relationships. When you want to understand the landscape of your existing setup, it can seem daunting to go through lists of resources and try to understand how the resources […]

Read More