Find bottlenecks in a Bright Data workload by separating provider time from queues, transfers, parsing, and downstream work. Plan bounded, one-variable experiments and decide whether to keep or roll back changes using latency, success, error, and cost measurements.
Analyze and tune a Bright Data workload from measured phase latency, failure classes, and bounded experiments instead of undocumented provider assumptions. Use when improving throughput or tail latency. Trigger with: "speed up Bright Data", "tune Browser API performance", "reduce snapshot latency".
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Improve the slowest measured phase while preserving authorization, correctness, and cost ceilings. Choose the Bright Data product that matches the interaction, separate provider time from local queue and processing time, change one variable, and retain rollback evidence.
Read traces and Grep for serialized work, unbounded concurrency, full-body buffering, repeated browser startup, hot polling, and retry amplification. Segment by product, target class, response size, and error class.
Use proxy requests for simple HTTP collection, Browser API when a browser session is actually required, and asynchronous scraper snapshots for batch workloads. Do not hide a product mismatch with more concurrency.
Write or Edit a canary plan that changes only batch size, worker concurrency, connection reuse, browser-session reuse, polling cadence, streaming boundary, or downstream parallelism. Keep admission, byte, and cost ceilings fixed.
Compare median and tail latency, success, 429, provider errors, bytes, queue time, and unit cost. Retain changes only when the target metric improves without violating safety, correctness, or budget constraints.
Use Read and Grep for trace and implementation analysis. Use Write and Edit for benchmarks, fixtures, canary configuration, and the decision record. This skill does not generate production load or alter live Bright Data resources.
A snapshot workload spends most time parsing after download. Streamed NDJSON parsing lowers memory and tail latency in a fixed-size canary while provider concurrency and collection scope remain unchanged.
| Failure | Meaning | Response |
|---|---|---|
| Baseline mixes unlike products | Comparison is invalid | Segment proxy, Browser API, and snapshot paths |
| Throughput rises with more 429 responses | Concurrency exceeds an effective boundary | Back off and lower admission |
| Faster output loses records | Optimization broke correctness | Roll back and add integrity assertions |
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