WildFly Monitoring
WildFly Monitoring involves continuously tracking and managing the performance, health, and resource utilization of WildFly application servers. It ensures efficient operation, identifies and resolves issues proactively, and maintains optimal performance and reliability of deployed applications through actionable insights and alerts.
Performance Management
Application Health
Resource Utilization
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Resource Optimization: Tracks metrics like CPU and memory usage to ensure efficient resource utilization, identifying bottlenecks to enhance system performance and reduce costs.
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Proactive Issue Resolution: Enables early detection of potential issues, allowing for timely intervention to prevent performance degradation and maintain high service levels.
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Monitoring Availability: Ensures deployed applications are always available and responsive by tracking uptime, response times, and error rates to quickly address issues and maintain a seamless user experience.
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Error Tracking: Involves detecting and analyzing errors and exceptions within the application, allowing administrators to diagnose issues, implement fixes, and enhance overall stability and reliability.
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Efficient Allocation: Monitoring resource utilization ensures effective allocation of system resources (CPU, memory, disk, and network) to meet application needs without over-provisioning, minimizing waste and costs.
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Identifying Bottlenecks: Tracking resource metrics helps identify performance bottlenecks, allowing administrators to optimize resources and improve overall system efficiency and responsiveness.
Benefits of WildFly Monitoring
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Log Management
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Centralized Log Collection: Aggregates logs from various sources for centralized storage and analysis, enabling effective monitoring and troubleshooting of system activity.
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Error Detection and Analysis: Analyzes logs for errors and performance issues, allowing quick identification and resolution of problems to maintain system stability and performance.
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Cluster Management
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High Availability and Load Balancing: Cluster management ensures applications remain highly available by distributing workloads across multiple nodes, minimizing downtime and optimizing resource use for improved performance.
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Monitoring and Health Checks: Continuous monitoring of each node's health and performance allows for early detection of issues, ensuring operational reliability and quick resolution of potential problems.
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Alerting and Notification
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Proactive Issue Resolution: Alerts notify administrators of potential problems early, enabling quick intervention to prevent downtime.
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Enhanced Reliability: Continuous monitoring and timely notifications help maintain system availability and address issues before they escalate.
JVM Performance and Monitoring Metrics
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JVM Performance
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Heap Memory Usage: Monitor heap usage to detect memory leaks or insufficient memory allocation.
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Garbage Collection: Track GC frequency and duration to ensure efficient memory management.
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Thread Usage: Keep an eye on the number of active, idle, and blocked threads.
Key Metrics for Application Performance Monitoring
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Application Performance
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Response Time: Measure the time taken for requests to be processed.
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Throughput: Track the number of transactions processed per second.
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Error Rates: Monitor the rate of exceptions and errors to identify application issues.
Deployment and Service Monitoring
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Custom Metrics and Plugins:
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Custom Metrics Collection: Define and collect custom metrics specific to your application needs.
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Plugin Development: Develop and deploy custom plugins to extend Applicare’s monitoring capabilities.
Custom Metrics and Plugin Integration
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Custom Metrics and Plugins:
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Custom Metrics Collection: Define and collect custom metrics specific to your application needs.
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Plugin Development: Develop and deploy custom plugins to extend Applicare’s monitoring capabilities.
Our Focus
WildFly Monitoring in Applicare
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Deployment and Version Control.
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Disaster Recovery Readiness.
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Configuration Management.
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Dependency Management.
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Session Management.