AWS Database Blog
Category: Compute
Automate benchmark tests for Amazon Aurora PostgreSQL
Optimizing a database is an important activity for new and existing application workloads. You need to take cost, operations, performance, security, and reliability into consideration. Conducting benchmark tests help with these considerations. With Amazon Aurora PostgreSQL-Compatible Edition, you can run multiple benchmark tests with different transaction characteristics matching your data access patterns. In this post, […]
Build with Redis data structures for microservices using Amazon MemoryDB for Redis and Amazon ECS
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. […]
Implement Oracle GoldenGate high availability in the AWS Cloud
The need to move data from one location to another in an asynchronous manner is a goal for many enterprises. Use cases might include migrating data to a reporting database, moving applications from on premises to the cloud, storing a redundant copy in another data center, configuring active/active databases across geographic locations, and performing heterogeneous […]
Architect a disaster recovery for SQL Server on AWS: Part 4
In this series of posts (Part 1, Part 2, Part 3 and Part 4) , we compare and contrast the disaster recovery (DR) solutions available for SQL Server on Amazon Elastic Compute Cloud (Amazon EC2) and help you understand the nature of these trade-offs, and the cost and complexity of implementing DR for SQL Server […]
Architect a disaster recovery for SQL Server on AWS: Part 3
In this series of posts (Part 1, Part 2, Part 3 and Part 4), we compare and contrast the disaster recovery (DR) solutions available for Microsoft SQL Server on Amazon Elastic Compute Cloud (Amazon EC2) and help you understand the nature of these trade-offs, and the cost and complexity of implementing DR for SQL Server […]
Architect a disaster recovery for SQL Server on AWS: Part 2
In this series of posts (Part 1, Part 2, Part 3 and Part 4), we compare and contrast the disaster recovery (DR) solutions available for Microsoft SQL Server on Amazon Elastic Compute Cloud (Amazon EC2). This post introduces three methods for implementing DR for SQL Server on AWS: SQL Server backup and restore, SQL Server […]
Architect a disaster recovery for SQL Server on AWS: Part 1
In today’s world, it’s just a matter of time before disaster happens, and when it happens it’s essential to recover your SQL Server databases and bring the systems online with minimal data loss and downtime. To respond to and recover from an outage of SQL Server database access, high availability (HA) and disaster recovery (DR) […]
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 […]
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. […]
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 […]