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Martini Server Runtime Configuration Best Practices

Configuring your Martini Server Runtime instances effectively is essential for ensuring security, maintainability, and optimal performance. Below are key best practices to consider, along with links to relevant documentation for further details:

  1. Update System Encryption Keys
    Regularly updating the system's encryption keys is crucial for protecting sensitive data and preventing unauthorized access. This practice ensures ongoing security, even if previous keys are compromised. Learn how to update the system encryption key.

  2. Utilize Override Properties
    Using override properties allows for flexible configuration adjustments without altering the main configuration files. This enhances maintainability and supports environment-specific customizations. Find out more about using the override.properties file.

  3. Manage Environmental Variables
    Environmental variables provide a secure way to handle sensitive configuration details, such as passwords and API keys, keeping them out of the codebase. For instructions on setting up environmental variables, refer to the documentation.

  4. When Using Docker Mount Relevant Folders to Permanent Storage
    When using ephemeral storage systems, such as Docker, it’s essential to mount the correct folders to permanent storage. This ensures data persistence across server reboots and deployments. Learn how to mount the correct folders for optimal data integrity.

  5. Secure Production Servers
    Restricting file system access on production servers to essential personnel minimizes risks of inadvertent or malicious alterations. For guidance on how to lock down production servers, refer to the relevant documentation.

  6. Process Log Files with a Log Analysis Platform
    Centralizing log processing through platforms like AWS CloudWatch, Datadog, or Loggly enhances security and operational oversight. For detailed instructions on configuring your log files, visit the Log Files documentation.

  7. Use Scalable Databases for Tracker Database
    Opt for high-performance databases like Cassandra or DynamoDB for the Tracker database to ensure efficient handling of large data volumes while maintaining high availability and resilience.

  8. Optimize Memory Allocation
    Whether deploying Martini instances on virtual machines or via Docker, optimizing memory allocation is key to enhancing performance. Adjusting allocated memory based on workload for VMs can improve efficiency, while optimizing JVM memory management in Docker helps prevent resource overuse. Find guidance on optimizing memory allocation.