Understanding Your Results

Learn how to interpret your container analysis results and make data-driven optimization decisions.

Dashboard Overview

The BenchTest dashboard provides a comprehensive view of your container's performance metrics. Here's what you'll find:

Performance Metrics

  • Response times
  • Throughput
  • Error rates
  • Resource utilization

Resource Usage

  • CPU utilization
  • Memory consumption
  • Network I/O
  • Disk I/O

Key Metrics Explained

CPU Usage

CPU usage indicates how much processing power your container is consuming.

  • High CPU usage (>80%) may indicate performance bottlenecks
  • Spikes in CPU usage can reveal inefficient operations
  • Consistent low CPU usage might suggest over-provisioning

Memory Utilization

Memory utilization shows how much RAM your container is using.

  • Memory leaks show as steadily increasing usage
  • High memory usage can cause performance degradation
  • Swap usage indicates memory pressure

System Resources

System resources include network and disk I/O metrics.

  • Network I/O shows data transfer rates
  • Disk I/O indicates storage performance
  • Resource contention can impact overall performance

Performance Indicators

Understanding these key performance indicators will help you identify and resolve issues:

Response Time

The time taken to respond to requests. High response times may indicate:

  • Resource constraints
  • Inefficient code paths
  • Network latency

Throughput

The number of requests processed per second. Low throughput might be caused by:

  • CPU bottlenecks
  • Memory limitations
  • I/O constraints

Error Rates

The percentage of failed requests. High error rates could indicate:

  • Resource exhaustion
  • Application bugs
  • Configuration issues

Identifying Resource Bottlenecks

Learn to identify and address common resource bottlenecks:

CPU Bottlenecks

  • High CPU utilization (>80%)
  • Slow response times
  • Increased error rates under load

Memory Bottlenecks

  • High memory usage
  • Frequent garbage collection
  • Out of memory errors

I/O Bottlenecks

  • High disk I/O wait times
  • Network latency issues
  • Slow data transfer rates