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[AGENTCFG-276] Configure Agent Install Info via API #37948
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 26adf93 Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
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➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +1.44 | [+0.57, +2.32] | 1 | Logs |
➖ | docker_containers_memory | memory utilization | +0.99 | [+0.92, +1.06] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.45 | [+0.38, +0.52] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.04 | [-0.59, +0.66] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.01 | [-0.61, +0.64] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.03, +0.02] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.01 | [-0.27, +0.26] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | -0.01 | [-0.59, +0.57] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.02 | [-0.61, +0.57] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.03 | [-0.63, +0.57] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.03 | [-0.59, +0.53] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.05 | [-0.28, +0.18] | 1 | Logs |
➖ | otlp_ingest_logs | memory utilization | -0.07 | [-0.20, +0.05] | 1 | Logs |
➖ | uds_dogstatsd_20mb_12k_contexts_20_senders | memory utilization | -0.09 | [-0.13, -0.04] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | -0.10 | [-0.15, -0.04] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.12 | [-0.68, +0.44] | 1 | Logs |
➖ | ddot_logs | memory utilization | -0.30 | [-0.42, -0.18] | 1 | Logs |
➖ | otlp_ingest_metrics | memory utilization | -0.36 | [-0.53, -0.19] | 1 | Logs |
➖ | ddot_metrics | memory utilization | -0.49 | [-0.61, -0.37] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | -0.50 | [-0.59, -0.41] | 1 | Logs bounds checks dashboard |
➖ | docker_containers_cpu | % cpu utilization | -0.63 | [-3.60, +2.33] | 1 | Logs |
➖ | file_tree | memory utilization | -0.98 | [-1.15, -0.82] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | -3.29 | [-5.98, -0.60] | 1 | Logs bounds checks dashboard |
Bounds Checks: ✅ Passed
perf | experiment | bounds_check_name | replicates_passed | links |
---|---|---|---|---|
✅ | docker_containers_cpu | simple_check_run | 10/10 | |
✅ | docker_containers_memory | memory_usage | 10/10 | |
✅ | docker_containers_memory | simple_check_run | 10/10 | |
✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency_linear_load | memory_usage | 10/10 | |
✅ | file_to_blackhole_100ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_300ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_500ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | |
✅ | quality_gate_idle | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | lost_bytes | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | memory_usage | 10/10 | bounds checks dashboard |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
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
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:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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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.
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Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
Static quality checks✅ Please find below the results from static quality gates Successful checksInfo
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if r.Method != http.MethodPost && r.Method != http.MethodPut { | ||
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) | ||
return | ||
} |
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We are already setting the Methods
filter in the handler definition https://github.com/DataDog/datadog-agent/pull/37948/files#diff-2d0c2690e3abf0afdb94956a349c583b9e1cf4a348c2a9213982d0ba95d4c490R42
We can probably remove this extra check.
Also, it seems that you also support PUT requests, so we might want to add that in the mux filter Methods("POST", "PUT")
if r.Method != http.MethodGet { | ||
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) | ||
return | ||
} |
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Same comment about not needing this extract check if we are using the mux filters
if r.Method != http.MethodDelete { | ||
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) | ||
return | ||
} |
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Same comment about not needing this extract check if we are using the mux filters
if installInfo, ok := getFromEnvVars(); ok { | ||
return installInfo, nil | ||
} | ||
return getFromPath(GetFilePath(conf)) | ||
} | ||
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// SetRuntimeInstallInfo sets the install info at runtime, overriding file and env var values | ||
func SetRuntimeInstallInfo(info *InstallInfo) error { |
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I would make this function private at first. We want to reduce the surface area of the package and ways that people can tweak the installation info. It seems that we want to use the HTTP server for that, in that case I would make this function private and only expose the HTTP handlers
type SetInstallInfoRequest struct { | ||
Tool string `json:"tool"` | ||
ToolVersion string `json:"tool_version"` | ||
InstallerVersion string `json:"installer_version"` | ||
} | ||
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// SetInstallInfoResponse represents the response after setting install info | ||
type SetInstallInfoResponse struct { |
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Same comment about privacy. The structs seems to be only relevant in the context of this package, so I would make them private at first
@@ -322,3 +326,399 @@ func TestScrubFromPath(t *testing.T) { | |||
assert.Equal(t, "2.5.0 password=********", info.ToolVersion) | |||
assert.Equal(t, "3.7.1 password=********", info.InstallerVersion) | |||
} | |||
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func TestSetRuntimeInstallInfo(t *testing.T) { |
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We could run the tests on the API component. We are testing the handlers here, but we are not testing that the API routes are available for the API server. Unless you are planning on adding more tests on a following PR I think it would be better to move the test to the API server component which is the one that expose the routes
@@ -37,7 +38,9 @@ func SetupHandlers( | |||
r.HandleFunc("/status/health", getHealth).Methods("GET") | |||
r.HandleFunc("/{component}/status", componentStatusHandler).Methods("POST") | |||
r.HandleFunc("/{component}/configs", componentConfigHandler).Methods("GET") | |||
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r.HandleFunc("/api/v1/install-info/get", installinfo.HandleGetInstallInfo).Methods("GET") |
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We do not version routes for the agent handler. These routes are meant to be used privately by the Agent. Following the previous routes I would remove the /api/v1/
prefix
@rahulkaukuntla, the code looks good. I left a few comments, but my biggest concern is about the API users. Who is going to be using this API, us? Will it be used from the same Agent process? I think having a GET and SET handler, if we decide to use the HTTP route, is more than enough. I'm not sure exposing a Clear handler is something we want, as it could potentially remove important information. Looking forward to your reply 😄 |
What does this PR do?
We are exposing an API in the agent codebase to explicitly set the install_method value.
Here is the provided context: on ECS, the agent is deployed as part of an ECS task, and for years customers have been copy/pasting the example task definition (in JSON). As a result, all agents deployed this way report DOCKER as the install_method, because that’s the default in the container image.
However, the agent can detect when it’s running on ECS, and updates the install method at runtime using logic in pkg/config/env. Having an explicit API to override or set this value would help ensure more accurate reporting and give users more control.
Motivation
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes