Category: Amazon CloudWatch

Database administrators set up monitoring on database log files to get alerted on certain informational and critical events relating to a pattern of errors specific to a database. Monitoring for errors on a business-critical database is essential to avoid unexpected outcomes such as a missed service-level agreement (SLA), which might result in penalties. A good […]

Customers running Amazon Relational Database Service (Amazon RDS) want to shorten the process of accessing database logs and to receive proactive notifications of database alerts. Generally, database administrators have host access to the database servers, which gives them access to the database logs on the host file system, which are used for monitoring and validating […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 4.0 or 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a […]

July 2023: This post was reviewed for accuracy. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. A highly performant database is key to delivering latency SLAs, so monitoring is critical. Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, […]

For very large migrations, AWS Database Migration Service (AWS DMS) replication can run for hours or days depending on the data being replicated. It’s advisable to monitor the AWS DMS resources for a smooth migration. Monitoring your resources can help you detect anomalies and trigger notifications based on the threshold metrics configured. You can use […]

AWS Database Migration Service (AWS DMS) is a cloud service that makes it easy to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. During data migration with AWS DMS, it’s important to monitor the status of the ongoing replication tasks, which you can do on the task’s control table and with Amazon CloudWatch.

Monitoring is an important part of maintaining the reliability, availability, and performance of your Amazon ElastiCache resources. This post shows you how to maintain a healthy Redis cluster and prevent disruption using Amazon CloudWatch and other external tools. We also discuss methods to anticipate and forecast scaling needs.

Database administrators and developers traditionally schedule scripts to run against databases using the system cron on the host where the database is running. As a managed database service, Amazon Relational Database Service (RDS) does not provide access to the underlying infrastructure, so if you migrate such workloads from on premises, you must move these jobs. […]

October 2023: This post was reviewed and updated for accuracy. If you are using Amazon Relational Database Service (RDS), you may wonder about how to determine the best time to modify instance configurations. This may include determining configurations such as instance class, storage size, or storage type. Amazon RDS supports various database engines, including MySQL, […]

This blog post was last reviewed or updated May, 2023. The updated version shown below is based on working backwards from a customer need to use RDS Performance Insights metrics in their APM tool for database observability. Amazon RDS Performance Insights is a feature that monitors Amazon Relational Database Service (Amazon RDS) database instances so […]