# Hotpath warp ABBA validation runbook This runbook describes how to collect formal Linux or production-cluster evidence for hotpath performance changes. Use it when a short local A/B smoke run is too noisy to decide whether a regression is real. The ABBA runner executes each workload and drive-sync cell as: ```text A1 baseline -> B1 candidate -> B2 candidate -> A2 baseline ``` `B1` and `B2` are compared with `A1` to measure the candidate delta. `A2` is also compared with `A1` to measure baseline drift. Treat a candidate regression as actionable only when the `A2` drift is passing or materially smaller than the `B1` and `B2` delta for the same workload. ## Scope Use this runbook for hotpath profiling and performance validation of RustFS object I/O changes, especially when CPU, memory allocation, lock/channel wait time, request throughput, or tail latency is the review question. The script validates the same workload matrix as the hotpath warp A/B gate: | Workload | mode | size | | --- | --- | --- | | `put-4kib` | put | 4KiB | | `put-4mib` | put | 4MiB | | `get-4kib` | get | 4KiB | | `get-4mib` | get | 4MiB | | `get-10mib` | get | 10MiB | | `mixed-256k` | mixed | 256KiB | Each workload runs with `RUSTFS_DRIVE_SYNC_ENABLE=true` and `RUSTFS_DRIVE_SYNC_ENABLE=false`, so a full ABBA pass produces 48 measurement cells: 6 workloads x 2 drive-sync modes x 4 ABBA legs. ## Prerequisites Run the formal pass on Linux, not on a laptop smoke environment. Required tools on the bench host: - `bash`, `curl`, `git`, and core GNU userland. - `warp` on `PATH`, or pass `--warp-bin`. - Two RustFS Linux binaries: one baseline and one candidate. - Enough isolated disks or directories for the local runner, or an externally managed RustFS cluster for production-like validation. - Stable host telemetry collection such as `pidstat`, `mpstat`, `iostat`, `sar`, `perf`, `heaptrack`, or the platform's equivalent observability stack. Cluster-mode requirements: - A deploy hook that can replace the RustFS binary on every node. - The hook must apply `RUSTFS_DRIVE_SYNC_ENABLE` for the current ABBA leg. - The hook must restart RustFS and return only after the rollout command has been accepted. The ABBA script performs the HTTP readiness wait. - The benchmark client should run outside the RustFS nodes when possible. - Do not run against a production data set unless the workload bucket and test credentials are isolated and approved for destructive benchmark traffic. ## Build the binaries Build the baseline from the comparison commit, usually `origin/main` or the previous accepted release: ```bash git fetch origin main git switch --detach origin/main cargo build --release -p rustfs --bins cp target/release/rustfs /tmp/rustfs-baseline ``` Build the candidate from the PR commit: ```bash git switch cargo build --release -p rustfs --bins cp target/release/rustfs /tmp/rustfs-candidate ``` For cross-compiled cluster binaries, keep both outputs on the bench host and make the deploy hook copy the selected binary to the cluster. The ABBA runner passes the selected binary path through `HOTPATH_ABBA_BINARY`. ## Local Linux runner Use local mode for a dedicated Linux runner with disposable data paths. This is not a substitute for a production-like cluster, but it is useful before spending cluster time. ```bash scripts/run_hotpath_warp_abba.sh \ --baseline-bin /tmp/rustfs-baseline \ --candidate-bin /tmp/rustfs-candidate \ --address 127.0.0.1:9000 \ --data-root /var/tmp/rustfs-hotpath-abba \ --disks 4 \ --duration 120s \ --rounds 3 \ --cooldown 30 \ --concurrency 16 \ --out-dir target/hotpath-abba/linux-local ``` The script starts and stops RustFS for each ABBA leg. The data root is throwaway and should not contain important data. ## Production-like cluster runner Use external mode when RustFS lifecycle is managed by ansible, systemd, a cluster scheduler, or a dedicated deployment harness. In this mode the ABBA script does not start RustFS directly; it calls `--deploy-hook` before each leg and then waits for `http://`. The deploy hook receives: | Environment variable | Value | | --- | --- | | `HOTPATH_ABBA_LEG` | `A1`, `B1`, `B2`, or `A2` | | `HOTPATH_ABBA_PHASE` | `baseline` or `candidate` | | `HOTPATH_ABBA_BINARY` | selected baseline or candidate binary path | | `HOTPATH_ABBA_DRIVE_SYNC` | `true` or `false` | Example ansible-shaped command: ```bash scripts/run_hotpath_warp_abba.sh \ --baseline-bin /srv/rustfs-binaries/rustfs-baseline \ --candidate-bin /srv/rustfs-binaries/rustfs-candidate \ --endpoint rustfs-bench.example.internal:9000 \ --deploy-hook ' set -euo pipefail cd /srv/rustfs-ansible cp "${HOTPATH_ABBA_BINARY:?}" roles/rustfs/files/rustfs export RUSTFS_DRIVE_SYNC_ENABLE="${HOTPATH_ABBA_DRIVE_SYNC:?}" ansible-playbook -f 4 -l bench rustfs-manage.yml --tags stop ansible-playbook -f 4 -l bench rustfs-manage.yml --tags config ansible-playbook -f 4 -l bench rustfs-manage.yml --tags binary-copy ansible-playbook -f 4 -l bench rustfs-manage.yml --tags start ' \ --duration 180s \ --rounds 5 \ --cooldown 45 \ --concurrency 32 \ --out-dir target/hotpath-abba/cluster-pr-XXXX ``` For formal evidence, prefer `--rounds 5` or higher when the cluster budget allows it. The script enforces `--rounds >= 3`. ## CPU and memory evidence ABBA warp output answers whether the candidate changed throughput or latency. Collect host telemetry at the same time to explain why. Recommended minimum: ```bash mkdir -p target/hotpath-abba/cluster-pr-XXXX/telemetry pidstat -durh 5 > target/hotpath-abba/cluster-pr-XXXX/telemetry/pidstat.txt & PIDSTAT_PID=$! mpstat 5 > target/hotpath-abba/cluster-pr-XXXX/telemetry/mpstat.txt & MPSTAT_PID=$! iostat -xz 5 > target/hotpath-abba/cluster-pr-XXXX/telemetry/iostat.txt & IOSTAT_PID=$! ``` Stop the collectors after the ABBA script exits: ```bash kill "$PIDSTAT_PID" "$MPSTAT_PID" "$IOSTAT_PID" ``` For deeper CPU attribution, run `perf record` around one representative workload after the ABBA gate identifies a candidate regression or improvement: ```bash perf record -F 99 -g -- sleep 180 perf report --stdio > target/hotpath-abba/cluster-pr-XXXX/telemetry/perf-report.txt ``` For allocation profiling, build the candidate with: ```bash cargo build --release -p rustfs --bins --features hotpath-alloc ``` Then run the same ABBA command with that binary. Compare allocation-heavy function sections only within the same build mode. Do not compare `hotpath-alloc` binaries directly with default release binaries for throughput acceptance, because allocation instrumentation intentionally changes what is measured. For CPU hotpath sections emitted by hotpath, build with: ```bash cargo build --release -p rustfs --bins --features hotpath-cpu ``` Use the CPU-enabled report to explain hotspots after the default or plain `hotpath` ABBA gate shows a real effect. ## Output layout The ABBA runner writes: ```text / manifest.env abba_schedule.csv candidate_gate.md baseline_drift_gate.md summary.md ///median_summary.csv ///baseline_compare.csv ``` Attach or link at least these files in the issue or PR: - `summary.md` - `candidate_gate.md` - `baseline_drift_gate.md` - `abba_schedule.csv` - every `median_summary.csv` and `baseline_compare.csv` for a failed or borderline workload - host telemetry files used to explain CPU, memory, or disk saturation ## Interpretation Use this decision table: | Candidate gate | A2 drift gate | Interpretation | | --- | --- | --- | | PASS | PASS | Candidate is acceptable for the measured matrix. | | WARN | PASS | Candidate has a small measurable signal; inspect telemetry and decide if it is expected. | | FAIL | PASS | Candidate likely regressed the affected workload; investigate before merge. | | FAIL | FAIL on the same workload | Environment drift is high; rerun on a quieter runner or increase duration and rounds. | | PASS | FAIL | Candidate did not exceed the budget, but the rig was unstable; avoid using the numbers as proof of improvement. | When `B1` and `B2` disagree, treat the result as inconclusive even if the gate passes. Increase duration, rounds, cooldown, or runner isolation before drawing a conclusion. ## AI execution checklist When delegating the run to an AI agent or an automation runner, provide these inputs explicitly: - repository checkout and candidate branch or commit; - baseline commit or binary path; - candidate binary path; - runner type: local Linux or external cluster; - endpoint, access key, secret key source, and region; - deploy hook path or exact command for cluster mode; - output directory; - required duration, rounds, cooldown, concurrency, and fail/warn budgets; - where to upload artifacts after the run. The AI agent should execute this sequence: 1. Confirm `uname -a`, RustFS commits, binary SHA256 sums, `warp --version`, CPU model, memory size, disk layout, and whether the run is local or cluster. 2. Run `scripts/run_hotpath_warp_abba.sh --dry-run` with the final arguments. 3. Run the real ABBA command with `--rounds >= 3`. 4. Preserve the full output directory without editing generated CSV files. 5. Read `summary.md`, `candidate_gate.md`, and `baseline_drift_gate.md`. 6. Summarize only measured facts: candidate deltas, baseline drift, CPU or memory saturation, and any failed workloads. 7. Post the summary and artifact location to the tracking issue or PR. Do not report a performance win or loss when the baseline drift gate failed on the same workload and no rerun was collected.