Breakpoint testing aims to find system limits. Reasons you might want to know the limits include:
- To tune or care for the system's weak spots to relocate those higher limits at higher levels.
- To help plan remediation steps in those cases and prepare for when the system nears those limits.
In other words, knowing where and how a system starts to fail helps prepare for such limits.
A breakpoint ramps to unrealistically high numbers. This test commonly has to be stopped manually or automatically as thresholds start to fail. When these problems appear, the system has reached its limits.
The breakpoint test is another test type with no clear naming consensus. In some testing conversation, it's also known as capacity, point load, and limit testing.
When to run a breakpoint test
Teams execute a breakpoint test whenever they must know their system's diverse limits. Some conditions that may warrant a breakpoint test include the following:
- The need to know if the system's load expects to grow continuously
- If current resource consumption is considered high
- After significant changes to the code-base or infrastructure.
How often to run this test type depends on the risk of reaching the system limits and the number of changes and code additions.
Once the breakpoint runs and the system limits have been identified, you can repeat the test after the tuning exercise to validate how it impacted limits. Repeat the test-tune cycle until the team is satisfied.
Avoid breakpoint tests in elastic cloud environments.
The elastic environment may grow as the test moves further, finding only the limit of your cloud account bill. If this test runs on a cloud environment, turning off elasticity on all the affected components is strongly recommended.
Increase the load gradually.
A sudden increase may make it difficult to pinpoint why and when the system starts to fail.
System failure could mean different things to different teams
You might want to identify each of the following failure points:
- Degraded performance. The response times increased, and user experience decreased.
- Troublesome performance. The response times get to a point where the user experience severely degrades.
- Timeouts. Processes are failing due to extremely high response times.
- Errors. The system starts responding with HTTP error codes.
- System failure. The system collapsed.
You can repeat this test several times
Repeating after each tuning might let the you push the system further.
Run breakpoints only when the system is known to perform under all other test types.
The breakpoint test might go far if the system performs poorly with the previous testing types.
Breakpoint testing in k6
The breakpoint test is straightforward. Load slowly ramps up to a considerably high level. It has no plateau, ramp-down, or other steps. And it generally fails before reaching the indicated point.
k6 offers two ways to increase the activity: increasing VUs or increasing throughput (open and closed models). Different from other load test types, which should be stopped when the system degrades to a certain point, breakpoint load increases even as the system starts to degrade. That makes it recommendable to use ramping-arrival-rate for a breakpoint test.
The test keeps increasing load or VUs until it reaches the defined breaking point or system limits, at which point the test stops or is aborted.
The test must be stopped before it completes the scheduled execution. You can stop the test manually or with a threshold:
- To stop k6 manually in the CLI, press Ctrl+C in Linux or Windows, and Command . in Mac.
- To stop the test using a threshold, you must define abortOnFail as true. For details, refer to the Thresholds .
A breakpoint test must cause system failure. The test helps identify the failure points of our system and how the system behaves once it reaches its limits.
Once the system limits are identified, the team has two choices: accept them or tune the system.
If the decision is to accept the limits, the test results help teams prepare and act when the system is nearing such limits.
These actions could be:
- Prevent reaching such limits
- Grow system resources
- Implement corrective actions for the system behavior at its limit
- Tune the system to stretch its limits
If the action taken is to tune the system, tune, then repeat the breakpoint test to find where and whether the system limits moved.
A team must determine the number of repetitions of the breakpoint test, how much the system can be tuned, and how far its limits can be tuned after each exercise.