Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Monitoring Amazon Kinesis Video Streams

Focus mode
Monitoring Amazon Kinesis Video Streams - Amazon Kinesis Video Streams

Monitoring is an important part of maintaining the reliability, availability, and performance of Amazon Kinesis Video Streams and your AWS solutions. We recommend collecting monitoring data from all of the parts of your AWS solution to help you debug a multi-point failure, if one occurs. Before you start monitoring Amazon Kinesis Video Streams, we recommend that you create a monitoring plan that includes answers to the following questions:

  • What are your monitoring goals?

  • What resources will you monitor?

  • How often will you monitor these resources?

  • What monitoring tools will you use?

  • Who will perform the monitoring tasks?

  • Who should be notified when something goes wrong?

After you've defined your monitoring goals and created your monitoring plan, the next step is to establish a baseline for normal Amazon Kinesis Video Streams performance in your environment. You should measure Amazon Kinesis Video Streams performance at various times and under different load conditions. As you monitor Amazon Kinesis Video Streams, store a history of monitoring data that you've collected. You can compare current Amazon Kinesis Video Streams performance to this historical data to help you identify normal performance patterns and performance anomalies, and devise methods to address issues that might arise.

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.