datadog-agent
datadog-agent copied to clipboard
[ebpf] Add `ebpf.Modifier` for removing helper calls
What does this PR do?
Add ebpf.Modifer
for removing certain helper calls from eBPF bytecode.
Motivation
Allow eBPF developers to write code referencing multiple eBPF helpers that get "conditionally selected" during runtime. For example, with this change someone might write code such as the following:
if (ring_buffers_supported) {
bpf_ringbuf_output(...);
} else {
bpf_perf_event_output(...);
}
And then use this ebpf.Modifer
to strip out the call to bpf_ringbuf_output
in case the target kernel doesn't support it:
if (ring_buffers_supported) {
// NO-OP
} else {
bpf_perf_event_output(...);
}
Additional Notes
Please try to favor the use of either CO-RE or runtime compilation to conditionally select eBPF helpers. This should be regarded as a last resort when the aforementioned options don't apply (prebuilt artifacts, for example).
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
/merge
:steam_locomotive: MergeQueue
This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove
command.
Use /merge -c
to cancel this operation!
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 671a84ad-96f3-4466-9b2f-14f821c47936 Baseline: dd88f33e6653d5934786a3f00041d5f9f51a7f60 Comparison: 8ef8bea4d1b3f4627bc6a0d2e2468bda1a50f311 Total CPUs: 7
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
Experiments with missing or malformed data
- basic_py_check
Usually, this warning means that there is no usable optimization goal data for that experiment, which could be a result of misconfiguration.
No significant changes in experiment optimization goals
Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%
There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true
are ignored.
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | -1.42 | [-7.96, +5.12] |
Fine details of change detection per experiment
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +2.93 | [+1.52, +4.34] |
➖ | process_agent_real_time_mode | memory utilization | +0.49 | [+0.45, +0.52] |
➖ | process_agent_standard_check_with_stats | memory utilization | +0.20 | [+0.16, +0.23] |
➖ | trace_agent_json | ingress throughput | +0.02 | [-0.02, +0.06] |
➖ | trace_agent_msgpack | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | process_agent_standard_check | memory utilization | -0.36 | [-0.40, -0.31] |
➖ | idle | memory utilization | -0.47 | [-0.50, -0.43] |
➖ | file_tree | memory utilization | -0.47 | [-0.55, -0.38] |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.83 | [-0.92, -0.75] |
➖ | otel_to_otel_logs | ingress throughput | -1.14 | [-1.75, -0.52] |
➖ | file_to_blackhole | % cpu utilization | -1.42 | [-7.96, +5.12] |
Explanation
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
-
Its configuration does not mark it "erratic".
:warning: MergeQueue
This merge request was unqueued
If you need support, contact us on Slack #ci-interfaces!
/merge
:steam_locomotive: MergeQueue
This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove
command.
Use /merge -c
to cancel this operation!
:steam_locomotive: MergeQueue
Added to the queue.
There are 3 builds ahead of this PR! (estimated merge in less than 1h)
Use /merge -c
to cancel this operation!