refactor: add liveness probe #174
Conversation
WalkthroughThe pull request updates the Changes
Possibly related PRs
Suggested reviewers
Poem
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (5)
charts/greptimedb-cluster/values.yaml (5)
55-67: Consider configuring readiness and liveness probes for the base componentThe addition of
failureThresholdto thereadinessProbeand the newlivenessProbeconfiguration are good improvements for health monitoring. However, they are currently commented out or empty. Consider uncommenting and configuring these probes with appropriate values for your use case.For example:
readinessProbe: initialDelaySeconds: 10 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1 livenessProbe: initialDelaySeconds: 15 periodSeconds: 20 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1Adjust these values based on your application's specific requirements and behavior.
135-147: Configure readiness and liveness probes for the frontend componentThe addition of
failureThresholdto thereadinessProbeand the newlivenessProbeconfiguration for the frontend component are good improvements. However, they are currently commented out or empty. Consider uncommenting and configuring these probes with appropriate values specific to the frontend component's behavior.Example configuration:
readinessProbe: httpGet: path: /health port: http initialDelaySeconds: 10 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1 livenessProbe: httpGet: path: /health port: http initialDelaySeconds: 15 periodSeconds: 20 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1Adjust these values based on the frontend component's specific requirements and endpoints.
235-259: Configure readiness and liveness probes for the meta componentThe addition of
failureThresholdto thereadinessProbeand the newlivenessProbeconfiguration for the meta component are good improvements for health monitoring. However, they are currently commented out or empty. Consider uncommenting and configuring these probes with appropriate values specific to the meta component's behavior.Example configuration:
readinessProbe: httpGet: path: /metrics port: http initialDelaySeconds: 30 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1 livenessProbe: httpGet: path: /metrics port: http initialDelaySeconds: 45 periodSeconds: 20 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1Adjust these values based on the meta component's specific requirements and endpoints. The meta component might need longer initial delay times due to its critical role in cluster management.
359-371: Configure readiness and liveness probes for the datanode componentThe addition of
failureThresholdto thereadinessProbeand the newlivenessProbeconfiguration for the datanode component are good improvements for health monitoring. However, they are currently commented out or empty. Consider uncommenting and configuring these probes with appropriate values specific to the datanode component's behavior.Example configuration:
readinessProbe: httpGet: path: /metrics port: http initialDelaySeconds: 60 periodSeconds: 15 timeoutSeconds: 10 failureThreshold: 5 successThreshold: 1 livenessProbe: httpGet: path: /metrics port: http initialDelaySeconds: 90 periodSeconds: 30 timeoutSeconds: 10 failureThreshold: 5 successThreshold: 1Adjust these values based on the datanode component's specific requirements. Note that datanodes might need longer initial delays and more lenient failure thresholds due to potential I/O operations during startup and regular operations. Also, consider adding custom health check endpoints that verify the datanode's ability to read and write data.
499-511: Configure probes for the experimental flownode componentThe addition of
failureThresholdto thereadinessProbeand the newlivenessProbeconfiguration for the flownode component are consistent with other components. However, they are currently commented out or empty. Given that the flownode is marked as "NOT READY YET", consider the following:
If the flownode component is truly not ready for use, it might be premature to configure these probes. In this case, you may want to add a comment explaining that these will be configured once the component is ready for production use.
If the flownode is in an experimental or testing phase, you might want to configure basic probes to assist in development and testing. For example:
readinessProbe: httpGet: path: /health port: http initialDelaySeconds: 20 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1 livenessProbe: httpGet: path: /health port: http initialDelaySeconds: 30 periodSeconds: 20 timeoutSeconds: 5 failureThreshold: 3 successThreshold: 1Ensure to adjust these values based on the flownode component's specific requirements and current development status. Also, consider adding a comment indicating that these configurations are subject to change as the component matures.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (4)
- charts/greptimedb-cluster/Chart.yaml (1 hunks)
- charts/greptimedb-cluster/README.md (5 hunks)
- charts/greptimedb-cluster/templates/cluster.yaml (5 hunks)
- charts/greptimedb-cluster/values.yaml (5 hunks)
✅ Files skipped from review due to trivial changes (1)
- charts/greptimedb-cluster/Chart.yaml
🧰 Additional context used
🔇 Additional comments (11)
charts/greptimedb-cluster/values.yaml (1)
Line range hint
1-511: Overall improvements in health monitoring configurationsThe changes in this file consistently add liveness probes and update readiness probes across all components of the GreptimeDB cluster (base, frontend, meta, datanode, and flownode). This is a positive step towards improving the health monitoring and resilience of the cluster. Here are some overall recommendations:
Uncomment and Configure: For each component, uncomment the probe configurations and set appropriate values. Each component may require different settings based on its specific role and behavior.
Consistency: Maintain consistency in probe configurations across components where possible, but allow for component-specific adjustments as needed.
Documentation: Consider adding comments explaining the chosen values for each probe configuration, especially if they differ significantly between components.
Testing: Once configured, thoroughly test these probe settings in a non-production environment to ensure they don't cause unnecessary restarts or false positives.
Flownode Consideration: Pay special attention to the flownode component. Its experimental status may require a different approach to probe configuration or implementation.
Gradual Rollout: Consider implementing these changes gradually, starting with non-critical components in a test environment before moving to production.
These changes significantly enhance the Helm chart's capabilities for deploying a more robust and self-healing GreptimeDB cluster. Ensure all stakeholders are aware of these new configurations and their potential impact on cluster behavior.
charts/greptimedb-cluster/templates/cluster.yaml (6)
25-27: LGTM: livenessProbe added to base componentThe addition of the livenessProbe configuration for the base component is well-implemented. It's conditionally added based on the values provided, which allows for flexibility in deployment configurations. This enhancement will improve the overall health monitoring of the GreptimeDB cluster.
106-108: LGTM: livenessProbe added to frontend componentThe livenessProbe configuration for the frontend component has been added consistently with the base component. This maintains a uniform approach to health monitoring across different parts of the GreptimeDB cluster, which is a good practice for maintainability and operational consistency.
217-219: LGTM: livenessProbe added to meta componentThe livenessProbe configuration for the meta component has been added in line with the previous components. This consistent approach to implementing health checks across different components of the GreptimeDB cluster is commendable, as it simplifies management and ensures uniform behavior.
274-276: LGTM: livenessProbe added to datanode componentThe livenessProbe configuration for the datanode component has been implemented consistently with the other components. This uniform approach to health monitoring across all parts of the GreptimeDB cluster, including the critical datanode component, will significantly enhance the overall reliability and observability of the system.
357-359: LGTM: livenessProbe added to optional flownode componentThe livenessProbe configuration for the flownode component has been implemented consistently with the other components. This maintains the uniform approach to health monitoring across the GreptimeDB cluster. Additionally, the entire flownode section is conditionally included, which provides flexibility in deploying this component based on specific cluster requirements.
25-27: Summary: Comprehensive addition of livenessProbe across all componentsThe changes made to this file consistently add livenessProbe configurations to all components of the GreptimeDB cluster (base, frontend, meta, datanode, and flownode). This enhancement significantly improves the health monitoring capabilities of the cluster, allowing for early detection of issues and potentially reducing downtime.
Key points:
- Consistent implementation across all components
- Conditional inclusion based on provided values, allowing for flexible configurations
- Proper integration with existing readinessProbe configurations
- Optional inclusion of the flownode component, providing deployment flexibility
These changes will contribute to a more robust and reliable GreptimeDB cluster deployment. Great job on implementing these improvements!
Also applies to: 106-108, 217-219, 274-276, 357-359
charts/greptimedb-cluster/README.md (4)
5-5: Version update looks goodThe version has been correctly updated from 0.2.19 to 0.2.20, which is consistent with the PR objectives.
89-89: Consistent addition oflivenessProbeconfigurationsThe
livenessProbeconfigurations have been consistently added to all relevant sections (base, datanode, flownode, frontend, and meta). This enhancement improves the health monitoring capabilities of the deployed components.Also applies to: 109-109, 143-143, 167-167, 210-210
90-90: Consistent updates toreadinessProbeconfigurationsThe
readinessProbeconfigurations have been consistently updated across all relevant sections (base, datanode, flownode, frontend, and meta). These updates complement the addition oflivenessProbeconfigurations, enhancing the overall health monitoring capabilities of the components.Also applies to: 110-110, 144-144, 168-168, 211-211
5-5: Overall changes improve health monitoring capabilitiesThe changes in this file consistently enhance the health monitoring capabilities of the GreptimeDB cluster Helm chart:
- The version has been updated from 0.2.19 to 0.2.20.
livenessProbeconfigurations have been added to all relevant sections.readinessProbeconfigurations have been updated in all relevant sections.These improvements will help in better monitoring and maintaining the health of the deployed GreptimeDB components.
Also applies to: 89-90, 109-110, 143-144, 167-168, 210-211
Summary by CodeRabbit
New Features
0.2.20.livenessProbeconfigurations across multiple pod templates for improved health monitoring.readinessProbeconfigurations to enhance pod readiness checks.Documentation
livenessProbeandreadinessProbeconfigurations.