Add health probes and status endpoints #1618
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These are conservative so that it's unlikely that high load could trigger these
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📝 WalkthroughWalkthroughAdds HTTP health endpoints to multiple services and configures Kubernetes startup/liveness/readiness probes for several deployments; refactors headless-lms healthz -> health module and introduces connectivity and up routes (including a DB connectivity check). Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor Kubelet
participant Pod
participant Service as HTTP Handler
participant DB
rect rgba(220,235,255,0.6)
Note over Kubelet,Pod: Kubernetes probes (startup/liveness/readiness)
end
Kubelet->>Pod: HTTP GET /<service>/api/status/up
Pod->>Service: Forward HTTP request
alt headless-lms /connectivity
Service->>DB: simple query (SELECT 1)
DB-->>Service: query result
Service-->>Pod: 200 true
else simple /up endpoints
Service-->>Pod: 200 true
end
Pod-->>Kubelet: HTTP 200 (healthy) / non-200 (unhealthy)
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Possibly related PRs
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Actionable comments posted: 1
Fix all issues with AI Agents 🤖
In @services/headless-lms/server/src/controllers/health.rs:
- Around line 1-3: Update the module doc comment at the top of the file to
reference the correct endpoint path (/api/v0/health) instead of /api/v0/healthz;
locate the module-level doc string in the health.rs file (the /*! ... */ comment
block) and change the path text so the documentation matches the renamed module
and the client baseURL update.
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
kubernetes/base/quizzes/deployment.yml (1)
47-62: Add container security context.The quizzes deployment lacks security hardening. No securityContext is defined in this file, and no cluster-level PodSecurityPolicy or PodSecurityStandard enforcement was detected. Other deployments in this repository (e.g., headless-lms) include securityContext configurations.
Add the following to the container spec:
securityContext: allowPrivilegeEscalation: false runAsNonRoot: true runAsUser: 1000
🧹 Nitpick comments (5)
services/tmc/src/pages/api/status/up.ts (1)
3-5: LGTM! Conservative health check endpoint.The implementation correctly provides a minimal health probe that only verifies the Node.js process can respond to HTTP requests. This aligns with the PR's conservative approach to avoid false positives under high load.
For future consideration, you might want to add more comprehensive health checks (database connectivity, memory usage, downstream service availability) as separate endpoints that probes can optionally call based on their tolerance for complexity.
services/main-frontend/src/services/healthzClient.ts (1)
3-7: LGTM! BaseURL correctly updated to match backend route change.The path update aligns with the backend module rename from
healthztohealth.Optionally, consider renaming
healthzClienttohealthClientin a future refactor to maintain naming consistency with the endpoint path, though this would be a breaking change for existing consumers.services/main-frontend/src/pages/api/status/up.ts (1)
1-5: LGTM! Simple status endpoint aligns with conservative health check strategy.The lightweight implementation returns
truewithout performing deep health checks, which aligns with the PR objective of minimizing load impact during high-traffic periods. This pattern is consistently applied across all services.Optional: Consider adding a brief comment
Per coding guidelines, a short comment explaining the endpoint's purpose would clarify intent:
import type { NextApiRequest, NextApiResponse } from "next" +// Status endpoint for Kubernetes health probes (startup, liveness, readiness). +// Returns true without deep checks to remain lightweight under load. export default (_req: NextApiRequest, res: NextApiResponse<boolean>): void => { res.status(200).json(true) }kubernetes/base/cms/deployment.yml (2)
63-71: Consider reducingtimeoutSecondsbelowperiodSecondsfor the startup probe.The startup probe configuration has
timeoutSeconds: 1andperiodSeconds: 1, which could cause overlapping checks if a request takes the full timeout duration. SettingtimeoutSecondsto less thanperiodSeconds(e.g.,timeoutSeconds: 1withperiodSeconds: 2) would provide a clearer separation between probe attempts.🔎 Suggested adjustment
startupProbe: httpGet: path: /api/status/up port: 3000 initialDelaySeconds: 0 - periodSeconds: 1 + periodSeconds: 2 timeoutSeconds: 1 successThreshold: 1 - failureThreshold: 60 + failureThreshold: 30This maintains the same overall 60-second startup window while avoiding potential timing overlap.
47-62: Consider adding security context to prevent privilege escalation.Static analysis tools have flagged that the container should explicitly disable privilege escalation and avoid running as root. While unrelated to the health probe changes, these are recommended security best practices.
🔎 Suggested security hardening
- name: cms image: cms ports: - containerPort: 3000 name: cms + securityContext: + allowPrivilegeEscalation: false + runAsNonRoot: true + runAsUser: 1000 env: - name: NEXT_PUBLIC_BASE_PATH value: "/cms"
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kubernetes/base/cms/deployment.ymlkubernetes/base/course-material/deployment.ymlkubernetes/base/example-exercise/deployment.ymlkubernetes/base/headless-lms/deployment.ymlkubernetes/base/main-frontend/deployment.ymlkubernetes/base/quizzes/deployment.ymlkubernetes/base/tmc/deployment.ymlservices/cms/src/pages/api/status/up.tsservices/course-material/src/pages/api/status/up.tsservices/example-exercise/src/pages/api/status/up.tsservices/headless-lms/server/src/controllers/health.rsservices/headless-lms/server/src/controllers/healthz.rsservices/headless-lms/server/src/controllers/mod.rsservices/main-frontend/src/pages/api/status/up.tsservices/main-frontend/src/services/healthzClient.tsservices/quizzes/src/pages/api/status/up.tsservices/tmc/src/pages/api/status/up.ts
💤 Files with no reviewable changes (1)
- services/headless-lms/server/src/controllers/healthz.rs
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**/*
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Prefer comment quality over comment quantity. Do not add comments that simply restate what the code already says, narrate control flow, or explain obvious syntax — these may help readers unfamiliar with programming, but they hinder developers by adding noise and slowing down code reading. Comments should be concise, factual, and purposeful, and should communicate information that is not immediately obvious from the code itself (e.g., rationale and intent, constraints or invariants, edge cases, surprising behavior, important assumptions, performance or correctness considerations, or things future maintainers must keep in mind).
Require consistent, minimal function documentation. While some simple or self-explanatory functions or components may not strictly need comments, it is generally preferable to include a short, plain-language description of what the function is for, to clarify intent and complement (not repeat) a descriptive function name. Comments should add meaning rather than paraphrasing the name or implementation. Public interfaces should have clearer and more comprehensive documentation, but many private or internal functions also benefit from a brief comment explaining their role, assumptions, or relevant context.
Protect useful existing comments. Do not remove comments that capture non-obvious rationale, warnings, historical context, or design decisions unless they are clearly outdated or made irrelevant by the change. If a modification ...
Files:
kubernetes/base/tmc/deployment.ymlkubernetes/base/main-frontend/deployment.ymlservices/main-frontend/src/pages/api/status/up.tsservices/example-exercise/src/pages/api/status/up.tskubernetes/base/course-material/deployment.ymlservices/main-frontend/src/services/healthzClient.tskubernetes/base/example-exercise/deployment.ymlkubernetes/base/cms/deployment.ymlservices/tmc/src/pages/api/status/up.tsservices/headless-lms/server/src/controllers/health.rsservices/cms/src/pages/api/status/up.tskubernetes/base/quizzes/deployment.ymlservices/course-material/src/pages/api/status/up.tsservices/headless-lms/server/src/controllers/mod.rsservices/quizzes/src/pages/api/status/up.tskubernetes/base/headless-lms/deployment.yml
**/*.rs
⚙️ CodeRabbit configuration file
**/*.rs: No unwraps at all in non-test code. Avoid also .expect() calls outside of tests, with the exception when the program is starting up so that it would crash immediately for example when an environment variable is not set.
No sql queries in code that is not within the models crate. If one needs to fetch data from the database, instead add a new function to the models crate and call that one.
Files:
services/headless-lms/server/src/controllers/health.rsservices/headless-lms/server/src/controllers/mod.rs
🧠 Learnings (1)
📚 Learning: 2024-12-03T09:10:44.098Z
Learnt from: nygrenh
Repo: rage/secret-project-331 PR: 1342
File: services/headless-lms/server/src/controllers/course_material/courses.rs:922-938
Timestamp: 2024-12-03T09:10:44.098Z
Learning: In `services/headless-lms/server/src/controllers/course_material/courses.rs`, when implementing endpoint functions that should be accessible to all users with access to the course material (e.g., students, assistants), use `authorize_access_to_course_material` instead of `authorize` with `Act::Teach` for authorization.
Applied to files:
services/headless-lms/server/src/controllers/mod.rs
🧬 Code graph analysis (6)
services/main-frontend/src/pages/api/status/up.ts (5)
services/cms/src/pages/api/status/up.ts (1)
_req(3-5)services/course-material/src/pages/api/status/up.ts (1)
_req(3-5)services/example-exercise/src/pages/api/status/up.ts (1)
_req(3-5)services/quizzes/src/pages/api/status/up.ts (1)
_req(3-5)services/tmc/src/pages/api/status/up.ts (1)
_req(3-5)
services/tmc/src/pages/api/status/up.ts (5)
services/cms/src/pages/api/status/up.ts (1)
_req(3-5)services/course-material/src/pages/api/status/up.ts (1)
_req(3-5)services/example-exercise/src/pages/api/status/up.ts (1)
_req(3-5)services/main-frontend/src/pages/api/status/up.ts (1)
_req(3-5)services/quizzes/src/pages/api/status/up.ts (1)
_req(3-5)
services/headless-lms/server/src/controllers/health.rs (2)
services/headless-lms/server/src/controllers/main_frontend/status.rs (1)
system_health(341-391)services/headless-lms/server/src/domain/authorization.rs (1)
skip_authorize(276-278)
services/cms/src/pages/api/status/up.ts (5)
services/course-material/src/pages/api/status/up.ts (1)
_req(3-5)services/example-exercise/src/pages/api/status/up.ts (1)
_req(3-5)services/main-frontend/src/pages/api/status/up.ts (1)
_req(3-5)services/quizzes/src/pages/api/status/up.ts (1)
_req(3-5)services/tmc/src/pages/api/status/up.ts (1)
_req(3-5)
services/course-material/src/pages/api/status/up.ts (5)
services/cms/src/pages/api/status/up.ts (1)
_req(3-5)services/example-exercise/src/pages/api/status/up.ts (1)
_req(3-5)services/main-frontend/src/pages/api/status/up.ts (1)
_req(3-5)services/quizzes/src/pages/api/status/up.ts (1)
_req(3-5)services/tmc/src/pages/api/status/up.ts (1)
_req(3-5)
services/quizzes/src/pages/api/status/up.ts (5)
services/cms/src/pages/api/status/up.ts (1)
_req(3-5)services/course-material/src/pages/api/status/up.ts (1)
_req(3-5)services/example-exercise/src/pages/api/status/up.ts (1)
_req(3-5)services/main-frontend/src/pages/api/status/up.ts (1)
_req(3-5)services/tmc/src/pages/api/status/up.ts (1)
_req(3-5)
🪛 Checkov (3.2.334)
kubernetes/base/tmc/deployment.yml
[medium] 15-90: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-90: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/main-frontend/deployment.yml
[medium] 15-91: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-91: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/course-material/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/example-exercise/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/cms/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/quizzes/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
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- GitHub Check: headless_lms
🔇 Additional comments (14)
services/headless-lms/server/src/controllers/mod.rs (1)
16-16: LGTM! Clean module rename.The refactor from
healthztohealthis consistent across both the module declaration and route configuration.Also applies to: 57-57
services/cms/src/pages/api/status/up.ts (1)
1-5: LGTM! Consistent with the health check pattern.The endpoint follows the same conservative implementation as the other services, providing a reliable startup/liveness/readiness probe target.
services/course-material/src/pages/api/status/up.ts (1)
1-5: LGTM! Consistent implementation.The endpoint correctly implements the health check pattern used across all services.
services/example-exercise/src/pages/api/status/up.ts (1)
1-5: LGTM! Completes the health check pattern.The endpoint correctly implements the same conservative health check approach used across all other services in this PR.
kubernetes/base/example-exercise/deployment.yml (1)
63-89: LGTM! Health probe configuration is well-structured.The three-tier probe strategy (startup → liveness → readiness) is properly configured with appropriate timing parameters:
- Startup allows 60 seconds for initialization
- Liveness begins after startup completes with conservative thresholds
- Readiness provides immediate feedback for traffic routing
services/headless-lms/server/src/controllers/health.rs (2)
10-18: LGTM! Database connectivity check is appropriately lightweight.The
SELECT 1query is a minimal operation suitable for health checks, and the use ofskip_authorize()correctly allows unauthenticated access to this endpoint.
20-32: LGTM! Simple health check endpoint and route configuration.The
/upendpoint provides a lightweight health signal without dependencies, and the route configuration correctly wires all three health endpoints.kubernetes/base/main-frontend/deployment.yml (1)
65-91: LGTM! Health probe configuration maintains consistency.The probe configuration mirrors the example-exercise deployment with appropriate port adjustment (3000 for main-frontend). This consistency simplifies operational reasoning across services.
kubernetes/base/headless-lms/deployment.yml (1)
54-80: LGTM! Health probes correctly target the versioned API endpoint.The probe configuration appropriately uses the
/api/v0/health/uppath to match this service's versioned API structure, aligning with the endpoint implementation inservices/headless-lms/server/src/controllers/health.rs.kubernetes/base/quizzes/deployment.yml (1)
63-89: LGTM! Conservative probe configuration aligns with PR objectives.The three-probe setup follows Kubernetes best practices:
- startupProbe provides 60s for application initialization before liveness checks begin
- livenessProbe waits 30s and tolerates 200s of failures before restarting
- readinessProbe quickly removes unhealthy pods from load balancing
These conservative thresholds minimize false-positive restarts under load, as intended.
kubernetes/base/tmc/deployment.yml (1)
64-90: LGTM! Probe configuration is consistent with other services.The probe setup matches the conservative pattern used across all services in this PR, with appropriate timing values for the tmc service on port 3005.
kubernetes/base/course-material/deployment.yml (1)
63-89: LGTM! Consistent probe configuration.The health probe setup follows the same conservative pattern as other services, appropriately configured for course-material on port 3003.
services/quizzes/src/pages/api/status/up.ts (1)
1-5: LGTM! Status endpoint follows the established pattern.The implementation is consistent with other services and provides a lightweight health check endpoint for the quizzes service.
kubernetes/base/cms/deployment.yml (1)
72-89: LGTM! Conservative probe settings align with PR objectives.The liveness and readiness probe configurations are well-designed with appropriately conservative thresholds:
- Liveness: Tolerates up to 200 seconds of failures before restart (20 failures × 10s period)
- Readiness: Tolerates up to 50 seconds of failures before marking unready (10 failures × 5s period)
The timeout values are properly set below period values, and the simple approach of using the same
/api/status/upendpoint for all probes minimizes the risk of false positives under high load, as intended.
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Actionable comments posted: 1
Fix all issues with AI Agents 🤖
In @kubernetes/base/example-exercise/deployment.yml:
- Around line 63-89: The status endpoint currently returns a static true; update
the request handler in the status endpoint module to perform real health checks:
attempt a lightweight DB connectivity check (e.g., a ping or simple query
against the existing DB client instance), verify any critical downstream
services or caches are reachable, and only return 200 when all checks succeed;
return non-200 (e.g., 503) and a JSON payload describing failing checks when any
check fails, and ensure the handler times out quickly to keep probes responsive.
🧹 Nitpick comments (2)
kubernetes/base/quizzes/deployment.yml (1)
63-89: LGTM! Health probe configuration is consistent and appropriate.The probe configuration follows the established pattern across all services with conservative failure thresholds that minimize false positives under load, which aligns with the PR objectives.
Optional future enhancement: Consider adding database connectivity checks to the
/api/status/upendpoints when deeper health validation is desired. The current lightweight approach is appropriate for minimizing probe overhead during high load, but enhanced health checks could catch dependency failures earlier in development/staging environments.kubernetes/base/example-exercise/deployment.yml (1)
47-89: Consider adding security context for container hardening.The container configuration could be strengthened by adding a security context that prevents privilege escalation and enforces non-root execution.
🔎 Proposed security hardening
containers: - name: example-exercise image: example-exercise + securityContext: + allowPrivilegeEscalation: false + runAsNonRoot: true ports: - containerPort: 3002 name: http
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kubernetes/base/cms/deployment.ymlkubernetes/base/course-material/deployment.ymlkubernetes/base/example-exercise/deployment.ymlkubernetes/base/quizzes/deployment.ymlkubernetes/base/tmc/deployment.ymlkubernetes/production/kustomization.yaml
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**/*
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**/*: Avoid banner-style section divider comments ("comment banners"), such as long separator bars, repeated dashes, or loud numbered headers used to split a file into sections (e.g.// ----------------------------------------------------------------------,// 1. INPUT STATE,/* ======= */). Prefer clearer naming, smaller focused modules/files, and normal short comments; do not suggest adding new comment banners, and when they appear in new or modified code, suggest removing them and improving structure instead.
Prefer comment quality over comment quantity. Do not add comments that simply restate what the code already says, narrate control flow, or explain obvious syntax — these may help readers unfamiliar with programming, but they hinder developers by adding noise and slowing down code reading. Comments should be concise, factual, and purposeful, and should communicate information that is not immediately obvious from the code itself (e.g., rationale and intent, constraints or invariants, edge cases, surprising behavior, important assumptions, performance or correctness considerations, or things future maintainers must keep in mind).
Require consistent, minimal function documentation. While some simple or self-explanatory functions or components may not strictly need comments, it is generally preferable to include a short, plain-language description of what the function is for, to clarify intent and complement (not repeat) a descriptive function name. Comments should add meaning rather than paraphrasing the name or implementation. Public interfaces should have clearer and more comprehensive documentation, but many private or internal functions also benefit from a brief comment explaining their role, assumptions, or relevant context.
Protect useful existing comments. Do not remove comments that capture non-obvious rationale, warnings, historical context, or design decisions unless they are clearly outdated or made irrelevant by the change. If a modification ...
Files:
kubernetes/base/cms/deployment.ymlkubernetes/production/kustomization.yamlkubernetes/base/quizzes/deployment.ymlkubernetes/base/course-material/deployment.ymlkubernetes/base/example-exercise/deployment.ymlkubernetes/base/tmc/deployment.yml
🪛 Checkov (3.2.334)
kubernetes/base/cms/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/quizzes/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/course-material/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/example-exercise/deployment.yml
[medium] 15-89: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-89: Minimize the admission of root containers
(CKV_K8S_23)
kubernetes/base/tmc/deployment.yml
[medium] 15-90: Containers should not run with allowPrivilegeEscalation
(CKV_K8S_20)
[medium] 15-90: Minimize the admission of root containers
(CKV_K8S_23)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (4)
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- GitHub Check: headless_lms
🔇 Additional comments (4)
kubernetes/base/course-material/deployment.yml (1)
63-89: LGTM! Health probe configuration is well-balanced.The probe configuration is conservative and appropriate for production:
- startupProbe allows 60s for initialization
- livenessProbe tolerates up to 200s of failures before restart
- readinessProbe checks every 5s with 10-failure tolerance
The paths correctly align with the NEXT_PUBLIC_BASE_PATH prefix.
kubernetes/base/tmc/deployment.yml (1)
64-90: LGTM! Probe configuration is consistent and appropriate.The health probe configuration follows the same conservative pattern as other services, with appropriate failure thresholds and correct path alignment with the base path prefix.
kubernetes/base/cms/deployment.yml (1)
63-89: LGTM! Health probe configuration is consistent and production-ready.The probe configuration maintains the conservative approach across all services with appropriate timing and failure thresholds.
kubernetes/production/kustomization.yaml (1)
54-56: LGTM! Replica increases align with enhanced health monitoring.Increasing replicas for main-frontend and cms to 2 improves availability and complements the new health probe infrastructure.
…educe log spamming, while retaining the startup probe. Added a new patch file for this configuration.
…ealth` for consistency with service endpoints.
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Actionable comments posted: 1
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kubernetes/dev/kustomization.yamlkubernetes/dev/patch-disable-probes.ymlservices/headless-lms/server/src/controllers/health.rs
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- services/headless-lms/server/src/controllers/health.rs
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**/*
⚙️ CodeRabbit configuration file
**/*: Avoid banner-style section divider comments ("comment banners"), such as long separator bars, repeated dashes, or loud numbered headers used to split a file into sections (e.g.// ----------------------------------------------------------------------,// 1. INPUT STATE,/* ======= */). Prefer clearer naming, smaller focused modules/files, and normal short comments; do not suggest adding new comment banners, and when they appear in new or modified code, suggest removing them and improving structure instead.
Prefer comment quality over comment quantity. Do not add comments that simply restate what the code already says, narrate control flow, or explain obvious syntax — these may help readers unfamiliar with programming, but they hinder developers by adding noise and slowing down code reading. Comments should be concise, factual, and purposeful, and should communicate information that is not immediately obvious from the code itself (e.g., rationale and intent, constraints or invariants, edge cases, surprising behavior, important assumptions, performance or correctness considerations, or things future maintainers must keep in mind).
Require consistent, minimal function documentation. While some simple or self-explanatory functions or components may not strictly need comments, it is generally preferable to include a short, plain-language description of what the function is for, to clarify intent and complement (not repeat) a descriptive function name. Comments should add meaning rather than paraphrasing the name or implementation. Public interfaces should have clearer and more comprehensive documentation, but many private or internal functions also benefit from a brief comment explaining their role, assumptions, or relevant context.
Protect useful existing comments. Do not remove comments that capture non-obvious rationale, warnings, historical context, or design decisions unless they are clearly outdated or made irrelevant by the change. If a modification ...
Files:
kubernetes/dev/patch-disable-probes.ymlkubernetes/dev/kustomization.yaml
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- GitHub Check: headless_lms
🔇 Additional comments (1)
kubernetes/dev/patch-disable-probes.yml (1)
1-4: LGTM! Clean implementation for disabling probes in dev.The JSON Patch operations correctly remove only
livenessProbeandreadinessProbefrom the first container, leavingstartupProbeintact as intended. The approach is minimal and focused.Note: See the verification request in
kustomization.yamlregarding thecontainers[0]index assumption.
These are conservative so that it's unlikely that high load could trigger these
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