docs(katana): docker compose example for setting up monitoring services #2538
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WalkthroughOhayo, sensei! This pull request introduces significant enhancements to the Katana monitoring setup. It adds a comprehensive Changes
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (5)
crates/katana/monitoring/grafana/datasources/prometheus.yml (1)
4-8: Ohayo, sensei! The Prometheus datasource configuration looks great!The configuration is well-structured and follows best practices. Here's a breakdown:
- The name "Prometheus" is clear and appropriate.
- The type is correctly set to "prometheus".
- Using "proxy" access is a good choice for most setups.
- Using an environment variable for the URL provides flexibility.
- Setting it as editable allows for easier management through the Grafana UI.
Great job on this configuration!
Consider adding a comment to explain the use of the
$PROMETHEUS_URLenvironment variable. This can help other developers understand how to set it up. For example:datasources: - name: Prometheus type: prometheus access: proxy # The PROMETHEUS_URL environment variable should be set to the URL of your Prometheus instance # e.g., http://prometheus:9090 url: $PROMETHEUS_URL editable: truecrates/katana/monitoring/prometheus/config.yml (1)
6-6: Ohayo, sensei! Nice addition of Docker-friendly target.The change looks good! Adding "host.docker.internal:9001" as a target allows Prometheus to scrape metrics from the Katana service running in a Docker container. This aligns perfectly with the PR objective of providing a Docker Compose example for monitoring services.
For improved clarity, consider adding a comment explaining the purpose of each target:
- targets: - "host.docker.internal:9001" # Katana metrics in Docker environment - "localhost:9100" # Katana metrics in non-Docker environmentThis will help future maintainers understand the reasoning behind having two targets, ohayo!
crates/katana/monitoring/README.md (3)
5-10: Excellent overview of services, sensei!The list of services and mention of configuration files provide a clear picture of the setup. To make it even more informative, consider adding a brief description of the purpose of each service and the types of configuration files provided.
Would you like me to suggest an expanded version of this section?
12-16: Ohayo! Clear instructions, but let's add a small improvement.The running instructions are concise and easy to follow. However, we can enhance the code block by specifying the language.
Please update the code block as follows:
-``` +```bash docker-compose upThis change will improve syntax highlighting and adhere to Markdown best practices. <details> <summary>🧰 Tools</summary> <details> <summary>🪛 Markdownlint</summary><blockquote> 14-14: null Fenced code blocks should have a language specified (MD040, fenced-code-language) </blockquote></details> </details> --- `18-20`: **Excellent wrap-up, sensei! Let's make one small tweak.** The final notes provide valuable information about what happens when the setup is run and how to access the Grafana dashboard. To improve the formatting and make the URL clickable, let's update it to a proper Markdown link. Please update the last line as follows: ```diff -Access the Grafana dashboard at http://localhost:3000. +Access the Grafana dashboard at [http://localhost:3000](http://localhost:3000).This change will make the URL clickable and adhere to Markdown best practices.
🧰 Tools
🪛 Markdownlint
20-20: null
Bare URL used(MD034, no-bare-urls)
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📒 Files selected for processing (6)
- crates/katana/monitoring/README.md (1 hunks)
- crates/katana/monitoring/docker-compose.yml (1 hunks)
- crates/katana/monitoring/grafana/dashboards/overview.json (1 hunks)
- crates/katana/monitoring/grafana/datasources/prometheus.yml (1 hunks)
- crates/katana/monitoring/prometheus/config.yml (1 hunks)
- monitoring/grafana/katana.json (0 hunks)
💤 Files with no reviewable changes (1)
- monitoring/grafana/katana.json
🧰 Additional context used
🪛 Markdownlint
crates/katana/monitoring/README.md
20-20: null
Bare URL used(MD034, no-bare-urls)
14-14: null
Fenced code blocks should have a language specified(MD040, fenced-code-language)
🔇 Additional comments (12)
crates/katana/monitoring/grafana/datasources/prometheus.yml (2)
1-1: Ohayo, sensei! The API version looks good!The API version is correctly set to 1, which is the current version for Grafana datasource configurations. Well done!
3-3: Excellent structure, sensei!The
datasourceskey is correctly defined as a list, allowing for multiple datasource configurations if needed in the future. Great job on following the Grafana configuration best practices!crates/katana/monitoring/README.md (1)
1-3: Ohayo, sensei! This introduction looks great!The title and introduction provide a clear and concise overview of the Katana Monitoring setup. It effectively sets the context for the rest of the document.
crates/katana/monitoring/docker-compose.yml (5)
42-46: Ohayo, sensei! The volume configurations look great.The use of local volumes for prometheusdata and grafanadata is a solid choice. This setup ensures that your Prometheus and Grafana data will be preserved across container restarts or recreations, which is crucial for maintaining historical data and configurations.
1-46: Ohayo, sensei! Overall, this Docker Compose configuration is dojo-level awesome!This configuration provides a solid foundation for setting up a monitoring stack for Katana using Prometheus and Grafana. The services are well-defined with appropriate dependencies, port mappings, and volume configurations.
Here's a quick summary of the key points:
- The Katana service is properly configured with metrics enabled.
- Prometheus is set up to scrape metrics from Katana.
- Grafana is configured to visualize the metrics collected by Prometheus.
- Persistent storage is ensured through the use of local volumes.
Great job on putting this together! It will significantly simplify the process of setting up monitoring for Katana users.
30-40: Ohayo, sensei! The grafana service configuration looks spot-on.The Grafana service is well-configured to visualize metrics from Prometheus. The dependency on the prometheus service ensures proper startup order, and the use of volumes allows for persistent storage and custom dashboards/data sources.
To ensure everything is set up correctly, I suggest:
- Verifying the contents of the Grafana dashboard configurations in
/etc/grafana/provisioning/dashboards- Checking the data source configuration in
/etc/grafana/provisioning/datasourcesto ensure it's correctly pointing to the Prometheus serviceLet's verify the Grafana configurations:
#!/bin/bash # Description: Check Grafana configurations # Test: List dashboard configurations echo "Dashboard configurations:" ls -l ./grafana/dashboards # Test: Display data source configuration echo "\nData source configuration:" cat ./grafana/datasources/datasource.yml
4-14: Ohayo, sensei! The katana service configuration looks solid.The configuration for the katana service is well-structured and includes necessary settings for running a Katana node with metrics enabled. The restart policy ensures high availability, which is great for maintaining the service.
However, I'd like to bring your attention to a potential security consideration:
- The use of
0.0.0.0for both metrics and host allows access from any IP. While this might be intended for easy access, it could pose a security risk if not properly protected in a production environment.Let's verify if there are any network security measures in place:
16-28: Ohayo, sensei! The prometheus service looks well-configured.The Prometheus service configuration is nicely set up to monitor the Katana service. The dependency on the katana service ensures proper startup order, and the use of volumes allows for persistent storage and custom configuration.
One suggestion:
- It would be beneficial to verify the contents of the Prometheus configuration file (
/etc/prometheus/config.yml) to ensure it's correctly set up to scrape metrics from the Katana service.Let's verify the Prometheus configuration:
✅ Verification successful
Ohayo, sensei! It looks like we couldn't find the Prometheus configuration file in the expected location. Let's locate it with the following script:
Ohayo, sensei! Now that we've located the Prometheus config file, let's examine its contents:
Ohayo, sensei! The Prometheus configuration looks excellent.
The
config.ymlis properly set up to scrape metrics from the Katana service athost.docker.internal:9001. The scrape interval of5sis appropriate, and all targets are correctly specified to ensure effective monitoring.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check Prometheus configuration # Test: Display the contents of the Prometheus config file cat ./prometheus/config.ymlLength of output: 336
Script:
#!/bin/bash # Description: Locate all Prometheus config.yml files in the repository # Search for all config.yml files and list their paths fd config.ymlLength of output: 62
Script:
#!/bin/bash # Description: Display contents of Prometheus config file cat crates/katana/monitoring/prometheus/config.ymlLength of output: 220
crates/katana/monitoring/grafana/dashboards/overview.json (4)
1-31: Ohayo, sensei! The dashboard configuration looks solid!The general settings for the Katana dashboard are well-configured. The 30-second refresh rate (line 1868) provides a good balance between real-time updates and server load. The default time range of the last hour (lines 1899-1900) is suitable for most monitoring scenarios.
Also applies to: 1868-1908
4-10: Excellent use of variables for the data source, sensei!The use of "${DS_PROMETHEUS}" as a variable for the Prometheus data source (lines 4-10) is a smart move. It allows for easy switching between different Prometheus instances if needed, enhancing the dashboard's flexibility and maintainability.
1899-1900: Domo arigato for the well-configured time settings, sensei!The time range settings are spot-on for a monitoring dashboard. Using a relative time range of "now-1h" to "now" ensures that users always see the most recent hour of data, regardless of when they view the dashboard. This is perfect for keeping an eye on the current state of the system.
1-1908: Ohayo, sensei! Your Katana dashboard is a true masterpiece!Overall, this Grafana dashboard configuration for Katana is impressively comprehensive and well-structured. It covers a wide range of crucial metrics, from database performance to RPC server stats and process-level information. The use of various visualization types, including heatmaps and time series, provides a rich and informative monitoring experience.
To take this dashboard to the next level, consider the following suggestions:
- Implement dashboard variables for common query parts to improve maintainability.
- Add descriptions to all panels for better clarity.
- Simplify the regex used in the instance selection variable.
These small tweaks will make your already awesome dashboard even more sugoi! Great work, sensei!
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
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improve katana monitoring example with a docker compose config which sets up all the necessary services (ie katana, grafana, prometheus)
Summary by CodeRabbit
Release Notes
New Features
Documentation
Configuration
docker-compose.ymlfor deploying the monitoring stack.Bug Fixes