GITNUX MARKETDATA REPORT 2023
Must-Know Custom Cloudwatch Metrics
Highlights: The Most Important Custom Cloudwatch Metrics
- 1. Application error rate
- 2. Application response time
- 3. Worker queue length
- 4. Database connection pool usage
- 5. Cache hit ratio
- 6. Custom resource usage
- 7. Business KPIs
- 8. User engagement metrics
- 9. API usage
- 10. Infrastructure health
Table of Contents
Custom Cloudwatch Metrics: Our Guide
Delve into the world of continuous monitoring and observability with our informative blog post about understanding the Must-Know Custom Cloudwatch Metrics. Elevate your insights into the realms of Amazon Web Services (AWS) as we provide in-depth knowledge on customizing and optimizing Cloudwatch Metrics for your specific business needs. From creating to managing and making the best use of your data with AWS, we’ve got you covered with these essential tips and insights.
Application Error Rate
Track error rate (e.g., exceptions or HTTP 5xx) divided by total requests for system health and stability assessment.
Application Response Time
Monitor the elapsed time between a client request and receiving a response, to help you identify performance bottlenecks and optimize your applications.
Worker Queue Length
Count tasks in a message queue (e.g., Amazon SQ$S) awaiting processing by background workers to detect demand spikes or processing problems.
Database Connection Pool Usage
Monitor used vs. available database connections ratio in your pool to manage connections and spot database access performance issues.
Cache Hit Ratio
Track cache hit percentage vs. total requests to assess caching strategy effectiveness and inform cache adjustments.
Custom Resource Usage
Gather data on custom app/infrastructure components (memory, CPU, GPU, network) to spot resource limits and optimize the system.
Monitor relevant KPIs (eg., orders, daily users, transactions) for business performance insights.
User Engagement Metrics
Track user behavior (page views, sessions, feature usage) to identify trends for product development and marketing decisions.
Track the number of API calls, response times, and error rates for your custom APIs, to manage your API performance and identify potential issues.
Monitor custom infrastructure (network, load balancers, storage) health and performance with collected and analyzed custom metrics.
Frequently Asked Questions
What are Custom CloudWatch Metrics?
How can I create and publish Custom CloudWatch Metrics?
What are some typical use cases for Custom CloudWatch Metrics?
Can I set up alarms for Custom CloudWatch Metrics?
Are there any costs associated with using Custom CloudWatch Metrics?
How we write these articles
We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.