How to monitor ActiveMQ performance metrics to prevent common issues

Monitoring Apache ActiveMQ is essential for maintaining the stability and performance of your messaging infrastructure. As a message broker, ActiveMQ plays a critical role in facilitating communication between different components of IT systems, handling high volumes of messages, and ensuring reliable message delivery. Without proper oversight, issues like memory leaks and storage overload can lead to serious disruptions. By keeping an eye on key metrics, you can catch early signs of trouble, prevent system bottlenecks, and ensure that messages are processed efficiently.

In this blog we'll take a look at some common issues that can affect seamless communication between your systems, share optimization strategies for mitigating them, and the role Site24x7 can play in monitoring and managing your ActiveMQ instances.

Memory overload can cause the broker to slow down significantly, affecting the entire messaging system's performance. In extreme cases, it may crash, leading to service disruptions.

Metric to monitor: memory_percent_usage

This metric measures the percentage of total available memory currently being used by the ActiveMQ broker. This metric is crucial because high memory usage can directly lead to performance degradation or broker crashes. Memory issues are a common cause of instability in messaging systems, making this a top priority for monitoring.

Solution: To resolve high memory usage, consider optimizing memory settings in the broker configuration, increasing the allocated memory, or scaling out to additional brokers to distribute the load.

Insufficient storage can cause messages to be delayed or lost entirely, potentially leading to significant data integrity issues and service outages.

Metric to monitor: storage_percent_usage

This metric indicates the percentage of total storage capacity being used by the broker for message persistence. Monitoring storage usage is essential, as it ensures that the broker has enough space to persist messages. When storage usage is high, the broker may struggle to persist messages, leading to delays, data loss, or system halts.

Solution: Resolve storage issues by clearing old or unnecessary messages, expanding storage capacity, or implementing a more aggressive message cleanup policy.

Temporary storage overflow can cause messages to remain unprocessed, leading to delays and potentially causing the system to back up or fail under high load conditions.

Metric to monitor: temp_percent_usage

This metric tracks the percentage of temporary storage used by the broker, which is critical for handling message overflow during peak processing periods. If temporary storage is exhausted, it can lead to unprocessed messages and system slowdowns, making it a key metric to monitor for ensuring smooth message flow.

Solution: Resolve temporary storage overflow by increasing the available temporary storage, optimizing message flow to reduce temporary storage usage, or scaling the broker’s resources to handle peak loads more efficiently.

High message queue times can indicate bottlenecks in message processing, leading to delayed responses and potential system overloads.

Metric to monitor: avg_enqueue_time

This metric measures the average time messages remain in the queue before being processed. High queue times can cause significant delays in message processing, which may result in slow system responses and reduced overall efficiency.

Solution: To resolve high queue times, consider increasing the number of consumers, optimizing message processing logic, or distributing the load across multiple brokers.

Site24x7 offers comprehensive monitoring of ActiveMQ metrics through its plugin integration. However, to ensure the optimal performance of your ActiveMQ setup, it’s not only crucial to monitor key metrics but turn them into actionable insights for detecting and resolving potential issues.

Site24x7's robust platform features can help you take action before potential issues escalate into major disruptions. Let's explore some ways you can leverage Site24x7 to solve common ActiveMQ issues.

You can set thresholds on specific metrics for alerts in Site24x7 to get notified when they are breached. For example, when memory_percent_usage exceeds 80%, Site24x7 will send an alert, enabling you to allocate additional memory or restart the broker to free up resources before performance is impacted. 

Site24x7 can detect unusual spikes in avg_enqueue_time, signaling potential delays in message queues. With this insight, you can investigate the cause of the anomaly and optimize message processing by adding more consumers or redistributing workloads, ensuring timely message delivery.

You create a custom dashboard in Site24x7 that displays the storage_percent_usage across multiple brokers in your ActiveMQ setup. When the storage nears 90% in one broker, Site24x7 will alert you. This allows you to quickly reallocate messages to other brokers or expand the storage capacity, preventing storage bottlenecks from impacting performance.

You can set up automation workflows within Site24x7 to ensure smooth operations without manual intervention. For example, when temp_percent_usage exceeds 75%, Site24x7 will trigger an automated process to clear temporary files, preventing temp storage overflow from halting your system.

If you're not already using Site24x7, sign up for a free trial today. Then, you can try our ActiveMQ monitoring plugin integration to monitor your ActiveMQ servers free for 30 days.

Check out more on our plugin integrations along with the steps to set up alerts, custom dashboards, IT automation, and more.