WildFly monitoring

Monitor your WildFly deployments with code-level precision, infrastructure visibility, and user-centric insights for faster resolution and capacity-aware scaling.

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Proactive performance monitoring for enterprise-grade Java apps

Full transaction tracing

Trace latency across your application stack

Thread profiling

Analyze blocking threads and deadlocks

Memory leaks detection

Monitor long-lived objects and GC pressure

Database call tracking

Identify slow database queries affecting UX

Container integration

Monitor WildFly in Docker/K8s environments

Deep observability for WildFly workloads

Uncover issues faster and optimize performance across every layer of your WildFly (formerly JBoss) with actionable context. Capture full transaction path across WildFly tiers—from REST endpoints and EJB modules to backend databases—with zero blind spots.

Correlate backend errors in Wildfly environments

Diagnose and fix issues in your WildFly deployments with backend-aware error tracking and deep code-level context.

Trace exceptions down to servlets, EJBs, and REST endpoints within WildFly.
Identify transaction failures across WildFly modules and external services.
Correlate log anomalies, stack traces, and thread dumps in real time.

Trace view showing the slowest method calls in a transaction, with detailed latency breakdown and error highlights.

Optimize JVM health and backend performance

Monitor the runtime health of your WildFly server and underlying infrastructure to avoid bottlenecks and crashes.

Track memory usage, GC activity, thread states, and class loading.
Analyze CPU load and heap pressure for better capacity planning.
Get threshold breach alerts on thread contention, heap saturation, and out-of-memory risks with anomaly detection.

Dashboard showing JVM CPU usage and runtime memory metrics for a WildFly server.

Built for scale, built for control

Go beyond basic performance checks. Gain operational control across dynamic WildFly environments with features designed for scale, compliance, and agility.

SLA-aware observability

Track performance against defined SLAs to meet uptime, latency, and error rate commitments.

Audit-ready insights

Ensure compliance with data handling and retention best practices for audits and certifications.

Multi-environment visibility

Monitor WildFly across hybrid, cloud, or containerized environments with consistent context.

Auto-scaling intelligence

Use metrics trends and anomaly detection to inform scale-up and scale-down decisions.

Granular thread tracking

Detect thread-level bottlenecks using state transitions and lock contention data.

Custom dashboards

Build real-time dashboards for memory, sessions, logs, and user actions.

How to monitor WildFly with Site24x7

Set up comprehensive monitoring for WildFly using Site24x7’s APM Java agent or OpenTelemetry-based instrumentation.

Install the Java APM agent

Add Site24x7's lightweight Java agent to your WildFly server to auto-capture metrics, traces, and logs.

Configure key service attributes

Define your app name, environment, and license key in the startup script or service definition.

Restart your WildFly server

After adding the agent, restart the WildFly service to initialize monitoring.

Site24x7 helps you proactively observe these signals and ensure your kube-proxy in Kubernetes is functioning optimally.

Ready to monitor WildFly the smart way?

Start your free 30-day trial and discover how Site24x7 makes WildFly monitoring effortless.

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