Category: Amazon CloudWatch

You can use Splunk Cloud Platform to monitor your entire infrastructure, including database servers hosted in AWS, on premises, or both. In this post we provide you detailed steps on how Splunk can connect to Amazon CloudWatch Logs using AWS Identity and Access Management (IAM) user credentials and pull database log files for Amazon Relational […]

Database performance monitoring is critical for application availability and productivity. A good monitoring practice can ensure a small issue is identified in time before it develops into a big problem and causes service disruption. In the AWS Cloud, you can use analytical and monitoring tools like Amazon RDS Performance Insights and Amazon CloudWatch metrics and […]

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 […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. With the announcement of Amazon CloudWatch Metric Streams, you can now stream near-real-time metrics data to a destination such as Amazon Simple Storage Service (Amazon S3). Metric Streams supports two primary use […]

May 2023: This post was reviewed and updated for accuracy. Monitoring databases is essential for any DBA, from dev-test databases to mission-critical databases. You want to capture system and user-defined events for monitoring and troubleshooting problems related to your database instance. MySQL records these events in error logs. In this post, we show you how […]

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 […]