Category: Amazon CloudWatch

In this post, we explore an artificial intelligence and machine learning (AI/ML)-powered database monitoring tool for PostgreSQL, using a self-managed or managed database service such as Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL.

In this post, we demonstrate how you can use Amazon CloudWatch Database Insights to analyze your SQL execution plan to troubleshoot and optimize your SQL query performance in an Aurora PostgreSQL cluster.

In this post, we show how you can use Amazon CloudWatch Database Insights for troubleshooting your Amazon RDS and Amazon Aurora resources. CloudWatch Database Insights serves as a database observability solution offering a tailored experience for DevOps engineers, application developers, and database administrators. This tool is designed to accelerate database troubleshooting processes and address issues across entire database fleets, enhancing overall operational efficiency.

Amazon DynamoDB continuously sends metrics about its behavior to Amazon CloudWatch. Something I’ve heard customers ask for is how to get a count of successful requests of each operation type (for example, how many GetItem or DeleteItem calls were made) in order to better understand usage and costs. In this post, I show you how to retrieve this metric.

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.

Amazon DocumentDB (with MongoDB compatibility) is a highly efficient, scalable, and fully managed enterprise document database service designed to handle native JSON workloads. Amazon DocumentDB simplifies storing, querying, and indexing JSON data as a document database. The Amazon DocumentDB profiler feature is a valuable tool for monitoring the slowest operations on your cluster to help […]

Customers are actively exploring opportunities to optimize their expenses, aligning with the Cost Optimization pillar of the AWS Well-Architected Framework. In this post, we discuss the following tools that you can use to analyze your spend and optimize your Amazon Relational Database Service (Amazon RDS) costs.

WAX is a blockchain-based system designed for the unique demands of the gaming industry. It provides high transaction throughput and near-instant block finality. With WAX, game developers can decouple in-game digital assets from a single in-game world and let gamers use them in new contexts such as building walls of fame, creating personal online trophy […]

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 […]

Amazon Aurora is a high-performance, fully managed relational database service offered by AWS. It is compatible with MySQL and PostgreSQL, providing exceptional scalability, availability, and durability for your data. Amazon Aurora Global Database allows you to replicate up to five different AWS Regions and provides robust disaster recovery capabilities. To ensure the resilience and recovery […]