Category: Compute

In this post, we walk you through an example of how you can use Amazon Keyspaces (for Apache Cassandra) with Amazon Elastic Container Service (Amazon ECS) to modernize your existing Cassandra workloads. These services use open standards that allow customers to migrate their existing workloads to take advantage of these services’ fully managed capabilities and […]

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads. We recently announced support for AWS Graviton2 instances for Amazon DocumentDB. AWS Graviton2 processors are custom built by AWS using 64-bit Arm Neoverse cores and feature always-on, fully encrypted DDR4 memory and 50% faster per-core […]

Large customer database infrastructures are often deployed with Amazon Relational Database Service (Amazon RDS), which includes various engine types such as Oracle, SQL Server, MySQL, MariaDB, and PostgreSQL. Monitoring is an important part of maintaining the reliability, availability, and performance of Amazon RDS and your AWS solutions. To debug multi-point failures, we recommend that you collect monitoring data from all parts […]

July 2023: This post was reviewed for accuracy. Many of our customers running SQL Server on Amazon Elastic Compute Cloud (Amazon EC2) instances want to capture specific events (systems and user-defined) for monitoring and troubleshooting issues with SQL Server. SQL Server logs these events in its error logs and agent logs. A deadlock is an […]

Customers running on an on-premises environment often face the challenges of scalability, performance, cost, and reliability. To increase resiliency, performance, and scalability, AWS has become the new norm to help and offer companies the benefits of the AWS Cloud. In this post, we use Oracle Real Application Testing (Oracle RAT) to help you evaluate differences […]

The business problem of real-time data aggregation is faced by customers in various industries like manufacturing, retail, gaming, utilities, and financial services. In a previous post, we discussed an example from the banking industry: real-time trade risk aggregation. Typically, financial institutions associate every trade that is performed on the trading floor with a risk value […]

The collection, aggregation, and reporting of large volumes of data in near real time is a challenge faced by customers from many different industries, like manufacturing, retail, gaming, utilities, and financial services. In this post, we present a serverless aggregation pipeline in AWS. We start by defining the business problem, introduce a serverless architecture for […]

Managing virtual machine images that you standardize through configuration, consistent security patching, and hardening (also called “golden images”) is a time-consuming task. System administrators and database administrators responsible for these tasks have to define the characteristics of these images (such as which software to pre-install, which versions to use, and which security configurations to apply). […]

In the financial services industry, efficient data lineage and audit capabilities are highly sought after. This is particularly true for database transaction processing that facilitates the movement of currency and management of sensitive customer account information. This is a challenge for customers because although all financial service providers generally have a means of moving money […]

With more than 45,000 employees in 29 countries, Liberty Mutual is the sixth largest global property and casualty insurer, and currently ranks 71st on the Fortune 100 list of largest corporations in the US. The expectations of customers continue to increase as the pace of change accelerates, the nature and magnitude of risk change, and […]