AWS Database Blog
Category: Intermediate (200)
How PayU uses Amazon Keyspaces (for Apache Cassandra) as a feature store
PayU provides payment gateway solutions to online businesses through its award-winning technology and has empowered over 500 thousand businesses, including the country’s leading enterprises, e-commerce giants, and SMBs, to process millions of transactions daily. In this post, we outline how at PayU, we use Amazon Keyspaces (for Apache Cassandra) as the feature store for real-time, low-latency inference in the payment flow.
How Scopely scaled “MONOPOLY GO!” for millions of players around the globe with Amazon DynamoDB
In this post, we show you how Amazon DynamoDB enabled Scopely to quickly respond to their rapid growth with consistent game performance and availability. We also describe how Scopely improved the availability and performance of their matchmaking service with DynamoDB after facing challenges at scale with other solutions.
Unlock the power of parallel indexing in Amazon DocumentDB
Parallel indexing in Amazon DocumentDB (with MongoDB compatibility) significantly reduces the time to create indexes. In this post, we show you how parallel indexing works, its benefits, and best practices for implementation.
Privileged Database User Activity Monitoring using Database Activity Streams(DAS) and Amazon OpenSearch Service
In this post, we demonstrate how to create a centralized monitoring solution using Database Activity Streams and Amazon OpenSearch Service to meet audit requirements. The solution enables the security team to gather audit data from several Kinesis data streams, enrich, process, and store it with retention to meet compliance requirements, and produce relevant alarms and dashboards.
Optimize costs with scheduled scaling of Amazon DocumentDB for read workloads
In this post, we show you two ways to schedule the scaling of your Amazon DocumentDB instance-based clusters to address anticipated read traffic patterns. By aligning your Amazon DocumentDB cluster scaling operations with the anticipated read traffic patterns, you can achieve optimal performance during peak loads and save costs by reducing the need to overprovision your cluster.
Introducing the Advanced Python Wrapper Driver for Amazon Aurora
Building upon our work with the Advanced JDBC (Java Database Connectivity) Wrapper Driver, we are continuing to enhance the scalability and resiliency of today’s modern applications that are built with Python. The Advanced Python Wrapper Driver has been released as an open-source project under the Apache 2.0 License. You can find the project on GitHub. In this post, we provide details on how to use some of the features of the Advanced Python Wrapper Driver.
Upgrade Amazon RDS for SQL Server 2014 to a newer supported version using the AWS CLI
As SQL Server 2014 approaches its end of support on July 9, 2024, it’s crucial to understand your options and take a proactive approach in planning and upgrading your SQL Server databases to the latest version. In this post we show you how to leverage AWS Command Line Interface (AWS CLI) automation to upgrade your current RDS for SQL Server 2014 instance to a more recent supported version.
Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune
Amazon Neptune 1.3.2.0 now supports the Apache TinkerPop 3.7.x release line, introducing many major new features and improvements. In this post, we highlight the features that have the greatest impact on Gremlin developers using Neptune, to help you understand the implications of upgrading to these versions of Neptune and TinkerPop.
Import Amazon RDS Enhanced Monitoring metrics into Amazon CloudWatch
In this post, we show you how to import multiple Enhanced Monitoring metrics to CloudWatch and use the full capabilities of CloudWatch on those metrics.
Build time-series applications faster with Amazon EventBridge Pipes and Timestream for LiveAnalytics
Amazon Timestream for LiveAnalytics is a fast, scalable, and serverless time-series database that makes it straightforward and cost-effective to store and analyze trillions of events per day. You can use Timestream for LiveAnalytics for use cases like monitoring hundreds of millions of Internet of Things (IoT) devices, industrial equipment, gaming sessions, streaming video sessions, financial, […]









