Mongoose server Deployment Guide¶

Introduction¶

This document provides guidance on deploying Mongoose server in various environments. It covers deployment considerations, performance tuning, and best practices to ensure optimal operation of Mongoose server applications.

Deployment Models¶

Mongoose server can be deployed in several ways, depending on the requirements of your application:

Standalone Application¶

Mongoose server can be deployed as a standalone Java application. This is the simplest deployment model and is suitable for many use cases.

Configuration:¶

// Load configuration from a file
FluxtionServer server = FluxtionServer.bootServer(logRecordListener);

// Or programmatically
AppConfig appConfig = new AppConfig();
// Configure appConfig
FluxtionServer server = FluxtionServer.bootServer(appConfig, logRecordListener);

Embedded in Another Application¶

Mongoose server can be embedded within another Java application, such as a Spring Boot application or a web server.

Configuration:¶

// Create and configure the server
AppConfig appConfig = new AppConfig();
// Configure appConfig
FluxtionServer server = new FluxtionServer(appConfig);

// Register components
server.registerEventSource("source1", eventSource);
server.addEventProcessor("processor1", "group1", idleStrategy, () -> eventProcessor);

// Initialize and start
server.init();
server.start();

Containerized Deployment¶

Mongoose server can be deployed in containers such as Docker, which provides isolation and portability.

Dockerfile Example:¶

FROM openjdk:11-jre-slim

WORKDIR /app

COPY target/fluxtion-server.jar /app/
COPY config/server-config.yaml /app/config/

ENV JAVA_OPTS="-Xmx2g -Xms1g"
ENV CONFIG_FILE="/app/config/server-config.yaml"

CMD ["java", "-jar", "fluxtion-server.jar", "-Dfluxtionserver.config.file=${CONFIG_FILE}"]

Cloud Deployment¶

Mongoose server can be deployed to cloud environments such as AWS, Azure, or Google Cloud Platform.

Considerations:¶

Use managed services for monitoring and logging
Configure auto-scaling based on load
Use cloud-native storage for persistence
Implement proper security measures

Performance Considerations¶

Memory Configuration¶

Proper memory configuration is essential for optimal performance:

-Xmx<size>  # Maximum heap size
-Xms<size>  # Initial heap size
-XX:MaxMetaspaceSize=<size>  # Maximum metaspace size

Recommended settings: - Set -Xms and -Xmx to the same value to avoid heap resizing - Monitor memory usage and adjust as needed - Consider using G1GC for large heaps: -XX:+UseG1GC

Thread Configuration¶

Mongoose server uses a threading model based on agents. Configure threads appropriately:

threadConfig:
  - name: "default"
    idleStrategy: "BusySpin"
  - name: "lowLatency"
    idleStrategy: "BusySpin"
  - name: "highThroughput"
    idleStrategy: "BackOff"

Considerations: - Use BusySpin for low-latency requirements - Use BackOff for high-throughput scenarios - Balance the number of threads with available CPU cores

Queue Sizing¶

Configure queue sizes based on expected load:

// In EventFlowManager.java
new ManyToOneConcurrentArrayQueue<T>(queueSize);

Recommendations: - Start with a queue size of 1024 or 2048 - Monitor queue overflow and adjust as needed - Consider using different queue sizes for different event types

High Availability¶

Clustering¶

For high availability, deploy multiple instances of Mongoose server in a cluster:

Active-Passive: One active instance with one or more passive instances ready to take over
Active-Active: Multiple active instances sharing the load

State Replication¶

If your application maintains state, consider state replication strategies:

Shared Database: Store state in a shared database
Event Sourcing: Rebuild state from event logs
State Snapshots: Periodically save and restore state snapshots

Failover¶

Implement failover mechanisms to handle instance failures:

Health Checks: Regular health checks to detect failures
Automatic Restart: Restart failed instances automatically
Load Balancing: Distribute load across healthy instances

Monitoring and Observability¶

Metrics Collection¶

Collect metrics to monitor the health and performance of your Mongoose server:

JVM Metrics: Heap usage, GC activity, thread count
Application Metrics: Event throughput, processing latency, queue sizes
System Metrics: CPU usage, memory usage, disk I/O, network I/O

Logging¶

Configure appropriate logging to aid in troubleshooting:

// Set log level for event processors
eventProcessor.setAuditLogLevel(EventLogControlEvent.LogLevel.INFO);

Recommendations: - Use structured logging for easier parsing - Configure appropriate log levels for different components - Rotate logs to manage disk space

Distributed Tracing¶

Implement distributed tracing to track events across components:

Trace IDs: Add trace IDs to events
Span IDs: Create spans for different processing stages
Visualization: Use tools like Jaeger or Zipkin to visualize traces

Security Considerations¶

Authentication and Authorization¶

Implement proper authentication and authorization:

API Security: Secure admin APIs with authentication
Role-Based Access: Restrict access based on roles
Secure Communication: Use TLS for communication between components

Data Protection¶

Protect sensitive data:

Encryption: Encrypt sensitive data at rest and in transit
Data Masking: Mask sensitive data in logs
Access Control: Restrict access to sensitive data

Network Security¶

Secure the network:

Firewalls: Restrict network access
VPNs: Use VPNs for secure communication
Network Segmentation: Isolate components in different network segments

Configuration Management¶

Configuration Files¶

Manage configuration files effectively:

Version Control: Store configuration files in version control
Environment-Specific Configs: Use different configurations for different environments
Configuration Validation: Validate configuration before deployment

Dynamic Configuration¶

Consider dynamic configuration for runtime changes:

// Update configuration at runtime
ConfigUpdate configUpdate = new ConfigUpdate();
configUpdate.setConfigMap(newConfigMap);
eventProcessor.onEvent(configUpdate);

Deployment Checklist¶

Before deploying Mongoose server to production, ensure:

Performance Testing: Test performance under expected load
Security Review: Review security measures
Monitoring Setup: Set up monitoring and alerting
Backup Strategy: Implement backup and recovery procedures
Documentation: Document deployment procedures and configurations
Rollback Plan: Prepare a rollback plan in case of issues

Conclusion¶

Deploying Mongoose server requires careful consideration of various factors including performance, high availability, monitoring, and security. By following the guidelines in this document, you can ensure a successful deployment that meets your application's requirements.

Remember that deployment is not a one-time activity but an ongoing process. Continuously monitor, evaluate, and improve your deployment to maintain optimal performance and reliability.