FeatBit Evaluation Server WebSocket Load Test

Use k6 to open independent FeatBit Server SDK-compatible WebSocket connections and verify that every connection receives every configured feature flag update.

Use k6 2.1.0 on both the local workstation and the remote load generator.

Deployment runbooks:

• Docker Desktop rehearsal and local result collection: k8s-infra/README.md
• AKS migration, isolation, sizing, observability, and execution gates: k8s-infra/README-AKS.md
• Ephemeral AKS/ACR/node-pool Terraform stack: k8s-infra/terraform/aks/

Test profiles

Ramp rate means new WebSocket connections per second.

Profile	Run location	Ramp rate	Total connections	Probe flags	Hold time
Smoke	Local workstation, then remote load generator	1/s	10	1	3 minutes
Baseline	Remote load generator	10/s	1,000	10	10 minutes
Growth	Remote load generator	50/s	5,000	20	10 minutes

Both Baseline and Growth take 100 seconds to reach their target connection count.

1. Create the probe flags

Create these String feature flags in the FeatBit Cloud environment under test:

Profile	Required keys
Smoke	loadtest-sync-probe-01
Baseline	loadtest-sync-probe-01 through loadtest-sync-probe-10
Growth	loadtest-sync-probe-01 through loadtest-sync-probe-20

Configure every probe flag as follows:

Setting	Value
Type	String
Status	Enabled
Variation values	baseline, rev-001, rev-002
Target Users / Targeting Rules	None
Default Rule before each run	Serve baseline to 100%

Use the values above as variation values, not variation names.

2. Configure FeatBit Cloud

Run this in the PowerShell session that will start k6. Replace <server-sdk-secret> with the environment's Server SDK secret. Do not use an API token or Client SDK secret.

$env:FEATBIT_STREAMING_URL = "wss://app-eval.featbit.co"
$env:FEATBIT_SERVER_SECRET = "<server-sdk-secret>"
$env:PROBE_INITIAL_VALUE = "baseline"
$env:EXPECTED_REVISIONS = "rev-001,rev-002"
$env:STRICT_PATCH_DELIVERY = "false"

These variables exist only in the current PowerShell session and its child processes. Never commit the secret.

STRICT_PATCH_DELIVERY=false matches the FeatBit .NET Server SDK: duplicate and stale patch versions are silently ignored and their quality counters are omitted from the summary. Set it to true only when the test contract explicitly requires exactly-once patch delivery; that mode records them and fails the corresponding thresholds.

3. Select and run a profile

Smoke: local and remote

Run this profile once from the local workstation and once from the remote load generator.

$env:PROBE_FLAG_KEYS = "loadtest-sync-probe-01"
$env:MAX_CONNECTIONS = "10"
$env:CONNECTIONS_PER_SECOND = "1"
$env:STABILIZATION_SECONDS = "10"
$env:INITIAL_SYNC_TIMEOUT_SECONDS = "10"
$env:HOLD_DURATION_SECONDS = "180"
$env:DRAIN_DURATION_SECONDS = "10"

New-Item -ItemType Directory -Force .\results | Out-Null
k6 run --summary-export .\results\smoke-summary.json .\k6\server-streaming.js

Measured hold: T+20s through T+200s.

Baseline

$env:PROBE_FLAG_KEYS = ((1..10) | ForEach-Object { "loadtest-sync-probe-{0:D2}" -f $_ }) -join ","
$env:MAX_CONNECTIONS = "1000"
$env:CONNECTIONS_PER_SECOND = "10"
$env:STABILIZATION_SECONDS = "30"
$env:INITIAL_SYNC_TIMEOUT_SECONDS = "20"
$env:HOLD_DURATION_SECONDS = "600"
$env:DRAIN_DURATION_SECONDS = "10"

New-Item -ItemType Directory -Force .\results | Out-Null
k6 run --summary-export .\results\baseline-summary.json .\k6\server-streaming.js

Measured hold: T+130s through T+730s.

Growth

$env:PROBE_FLAG_KEYS = ((1..20) | ForEach-Object { "loadtest-sync-probe-{0:D2}" -f $_ }) -join ","
$env:MAX_CONNECTIONS = "5000"
$env:CONNECTIONS_PER_SECOND = "50"
$env:STABILIZATION_SECONDS = "30"
$env:INITIAL_SYNC_TIMEOUT_SECONDS = "20"
$env:HOLD_DURATION_SECONDS = "600"
$env:DRAIN_DURATION_SECONDS = "10"

New-Item -ItemType Directory -Force .\results | Out-Null
k6 run --summary-export .\results\growth-summary.json .\k6\server-streaming.js

Measured hold: T+130s through T+730s.

4. Control the flags during the measured hold

Docker Desktop Kubernetes runs use the REST controller documented in k8s-infra/README.md. With AUTO_CONTROL_REVISIONS=true, the single local runner—or runner 1 in the distributed AKS profile—restores every probe flag to baseline in setup(), applies an unmeasured baseline -> rev-001 -> baseline warm-up before any WebSocket is opened, applies rev-001 and then rev-002 during the measured hold, and restores baseline in teardown(). No manual flag changes are required.

For a direct k6 run without the REST controller, use the following manual process.

Before starting, confirm that every probe flag serves baseline to 100%.

Wait until k6 prints the measured hold line, then perform these two rounds in FeatBit Cloud:

1. Change every probe flag in the selected profile from baseline to rev-001, saving each flag.
2. Wait at least 30 seconds after the last save.
3. Change every probe flag from rev-001 to rev-002, saving each flag.
4. Leave the flags unchanged and let k6 finish naturally.

Each WebSocket must receive this sequence for every configured flag:

baseline -> rev-001 -> rev-002

A missing revision, an out-of-order update, or a final value other than rev-002 fails the test.

5. Stop a run

• Stop changing flags at any time by making no further saves; the WebSockets remain connected.
• Stop k6 at any time with Ctrl+C in its PowerShell window.
• k6 2.1.0 cannot pause and resume the same run. Do not suspend the process because its heartbeat timers will also stop and invalidate the result.

With the REST controller enabled, a natural completion restores baseline in teardown(). Force-killing the runner can skip teardown; the next run still restores baseline in setup(), but do not assume an interrupted run cleaned up immediately.

An interrupted run is incomplete; do not treat its threshold failures as a load-test result.

6. Check the result

After a natural completion, confirm:

• connection_open_success, initial_sync_success, ready_before_hold, connection_survived, initial_probe_value_success, every probe_revision_coverage, and final_applied_revision_success are 100%.
• unexpected_close, websocket_error, heartbeat_timeout, revision_sequence_error, and unexpected_revision are 0.
• With STRICT_PATCH_DELIVERY=false, delivery-quality counters are intentionally absent. With true, duplicate_patch, stale_patch, and repeated_revision must all be 0.
• Timing metrics have a non-zero count; a displayed latency of 0 with count=0 means no valid sample was recorded.
• The selected summary file exists under results/.

Patch delivery semantics

The script applies patches with the same version rule as the FeatBit .NET Server SDK:

• A patch with a newer updatedAt version is applied.
• The same revision and version is ignored; strict mode counts it as duplicate_patch.
• An older version is ignored; strict mode counts it as stale_patch.
• A newer configuration that still serves the same probe value is applied; strict mode counts it as repeated_revision.

final_applied_revision_success answers whether every simulated SDK connection ends with the final value from EXPECTED_REVISIONS. Revision coverage and stream-delivery quality are reported separately so duplicate delivery cannot masquerade as a missing final value. It replaces the old latest_revision_received metric, which combined final-state and delivery-quality failures into one misleading percentage.

What this tests

Each k6 VU opens one independent WebSocket and follows the FeatBit .NET Server SDK streaming protocol and version-application behavior for connection, full synchronization, patch updates, and application heartbeat. The script validates every key in PROBE_FLAG_KEYS on every connection. When AUTO_CONTROL_REVISIONS=true, a separate k6 scenario calls the FeatBit REST API to control the probe flags; otherwise the flags remain manual. The test does not start real .NET processes.