smoke test
Read-onlyOne request a second for 30 seconds. Run this first: it proves the target, path and headers are right before you apply real load.
The standard test shapes: smoke, average load, stress, spike, breakpoint and soak.
Category Test patternsStack Any HTTP targetJobs 21
The standard test shapes against any URL: a smoke test, average load, a stress ramp to four times normal, a sudden spike, a breakpoint ramp that runs until the target breaks, a 30-minute soak and a maximum-throughput run. Start here if you are new to load testing.
It holds 21 ready-made jobs: 7 single scenarios and an enterprise test plan of 14 stages to run in order, 12 of them with pass/fail targets (SLOs). Each job is a plain request pattern you can change before running.
Scenarios include smoke test, average load (5 min), stress ramp to 4x, spike (sudden 10x) and breakpoint (ramp until it breaks).
url to point at your own Test patterns system, ideally a staging copy.urlpathOne request a second for 30 seconds. Run this first: it proves the target, path and headers are right before you apply real load.
Your normal traffic. Set rps to what production sees at a typical hour; the p95 here is your baseline to compare other runs against.
Ramps to 4x average over 5 minutes. Finds where latency starts to climb and which error shows up first (timeouts, 502/503, resets).
Reaches 10x average in 10 seconds, then holds. Models a newsletter, a link on social media or a failover. Watch recovery after it ends, not only the peak.
Slow ramp to a very high rate over 10 minutes. Stop it when errors pass a few percent: the rate at that moment is your ceiling. Staging only.
Moderate steady load for half an hour. Surfaces leaks and slow decay (memory, connections, disk, cache churn) that short runs never reach.
No rate limit: every worker sends as fast as the target answers. Measures raw capacity, but is not realistic traffic, so do not use it for latency SLOs.
Run in order: smoke, baseline, load, stress, spike, soak, breakpoint and failover window, each with pass/fail targets.
Enterprise plan, step 1 of 10. One request a second for 30 seconds. Run this first, every time: it proves the address, credentials and headers are right and that the environment is up before any real load is applied. Gate: zero errors. Reference request: average load (5 min).
Step 2 of 10. About a fifth of normal traffic for 5 minutes: the uncontended latency of this request. Every later result is judged against it, so record p50 and p95. Gate: at most 0.5% errors and the default latency targets. Reference request: average load (5 min).
Step 3 of 10. Normal busy-hour traffic for 10 minutes. The rate is the reference job's rate: raise it to your measured production peak-hour rate. This is the run that proves (or breaks) your SLO. Gate: at most 1% errors, p95 and p99 inside the targets. Reference request: average load (5 min).
Step 4 of 10. Twice the average for 10 minutes: the busiest hour of the year plus headroom. Latency may rise, but must stay in SLO; if it does not, you have no headroom. Gate: at most 2% errors, latency targets doubled. Reference request: average load (5 min).
Step 5 of 10. Ramps to four times average over 10 minutes, then holds for 2. Finds where it degrades and HOW: gracefully (latency rises, errors stay low) or badly (errors, timeouts, crashes, restarts). Observation only, no gate. Reference request: average load (5 min).
Step 6 of 10. Reaches ten times average within 10 seconds and holds for 2 minutes: a campaign email, a news link, a failover. Checks autoscaling, queue limits and load shedding. Gate: at most 5% errors, because shedding load is acceptable and crashing is not. Reference request: average load (5 min).
Step 7 of 10. Run IMMEDIATELY after the spike, at average load for 5 minutes. Latency and errors must return to the baseline from step 2. If they do not, something is stuck: queues, connection pools, GC, an autoscaler cool-down. Gate: same as average load. Reference request: average load (5 min).
Step 8 of 10. One hour of steady load. Finds leaks and slow decay in memory, connections, file descriptors, disk, log volume and cache churn. Watch the resource graphs: any line that climbs and never flattens is a finding. Gate: at most 0.5% errors. Reference request: average load (5 min).
Step 9 of 10. Ramps to twenty times average over 20 minutes. Stop it when errors pass about 5%: the rate at that moment is your ceiling, and ceiling divided by peak is your capacity margin. Use a production-like environment, never production. Reference request: average load (5 min).
Step 10 of 10. Average load for 15 minutes. About 5 minutes in, cause the event you are testing: kill a pod or node, fail over the database, roll out a new version, drain a zone. Errors in the window are your real availability loss. Gate: at most 1% errors overall; read the time series for how long the dip lasted. Reference request: average load (5 min).
Sends Connection: close, so every request pays for a new TCP and TLS handshake: the cost for clients that do not reuse connections (scripts, some mobile SDKs, health checkers). Shows load balancer and TLS termination limits. Reference request: average load (5 min).
Same request identified as a search crawler. Tests WAF and bot-management rules and whether crawlers get cached or origin responses. Crawlers can easily be a third of all traffic. Reference request: average load (5 min).
Adds a 4 KB Cookie header, like a logged-in user with many tracking cookies. Proxies and servers reject headers around 8 KB, so this shows how close you are to that limit. Reference request: average load (5 min).
A fleet of synthetic monitors checking the URL with HEAD requests every 30 seconds from 20 locations, plus load balancer probes. Cheap each, constant in total. Reference request: average load (5 min).
The Test patterns template has 21 jobs: 7 single scenarios and an enterprise test plan of 14 stages (smoke, baseline, load, stress, spike, soak, breakpoint and failover window). Scenarios include smoke test, average load (5 min), stress ramp to 4x and spike (sudden 10x). 12 of them have pass/fail targets (SLOs), so a run can be judged against limits you set.
Open the template in BLASTA and set url, then pick a job and start it. Results stream live: requests per second, latency percentiles and errors, and the run is kept in your history. To run from the command line, use blasta preset new test-patterns with your address.
All 21 jobs in this template are read-only: they request pages or data and do not change anything. Even so, a load test can slow a live system down, so start with a low rate and prefer a staging copy. Only test systems you own or have permission to test.
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| When | Job | Target | Requests | Avg req/s | p95 | Errors | CPU avg | RAM avg | Result |
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Charts were not recorded for this run (it was saved by an older version).