Thread Exhaustion Hidden
WildFly thread pools saturate under bursty loads, stranding requests without clear queue depths or wait times.
Wildfly Performance Monitoring
Get end-to-end visibility into your Wildfly performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Java monitoring to optimize your application.
Challenges
Why WildFly Performance Breaks Quietly?
GC Pauses Untracked
Unpredictable JVM garbage collection halts block production traffic, lacking per-generation metrics or pause duration breakdowns.
Database Bottlenecks Blind
JDBC connection leaks drain pool capacity silently, inflating query latencies without datasource health indicators.
Heap Leaks Unseen
Memory leaks from unclosed resources bloat heap usage over deployments, evading allocation profiling granularity.
EJB Transaction Failures
Distributed EJB transactions rollback intermittently, obscuring XA resource coordination failures across nodes.
JMS Queue Backlogs
Persistent JMS queues overflow during consumer lag, hiding message age distributions or redelivery counts.
Clustering Sync Delays
Infinispan cache invalidations lag in clustered setups, causing stale data reads without replication latency traces.
JNDI Lookup Timeouts
Resource binding resolutions timeout under high lookup volume, masking naming service contention or resolution paths.
Key Features
Complete Performance Visibility for WildFly Applications
Real-time observability for WildFly environments that helps teams understand request performance, optimize runtime behavior, and resolve production issues faster.
Detailed Request Duration Breakdown
Track how long each request takes across servlets, handlers, and internal processing layers. Quickly uncover slow execution paths affecting response times.
Monitor JVM Response Timing
Measure JVM processing time and runtime behavior across requests. Identify performance bottlenecks inside the Java virtual machine.
Identify Slow JDBC Calls
Analyze database query execution times and connection latency in real time. Eliminate inefficient database interactions slowing application performance.
External Service Timing with Thread Execution Insight
Track response times for third-party services while monitoring thread execution behavior. Understand how concurrency and external dependencies impact application performance.
Why Atatus
Why Teams Choose Atatus for wildfly Observability?
Engineering teams choose Atatus when production understanding matters more than surface metrics. It fits how WebLogic systems actually run and fail in the real world.
01
Trace Fidelity Unmatched
End-to-end spans capture WildFly method invocations with bytecode precision, rebuilding call graphs sans agent overhead.
02
Onboard in Minutes
Agentless integration hooks WildFly management APIs directly, yielding metrics streams without code rewrites.
03
Developer Dashboard Trust
Raw flame graphs expose CPU hogs in EJB interceptors, arming code owners with stack-sampled hotspots.
04
SRE Alert Precision
Anomaly thresholds on JMX beans filter noise, paging only on sustained WildFly metric deviations.
05
Backend Scale Confidence
Multi-tenant isolation segments cluster metrics, validating horizontal pod autoscaling under synthetic loads.
06
Custom Metric Control
MBean federation ingests bespoke WildFly counters, aligning dashboards to service-level objectives.
07
Log-Trace Fusion
Correlated stdout logs anchor distributed traces, surfacing N+1 query chains in Hibernate sessions.
08
Cross Team Alignment
Backend, SRE, and platform teams share a common understanding of production behavior, reducing escalation friction.
09
Confident Release Decisions
Teams validate runtime impact before and after changes, improving confidence in production releases.
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineers
FAQ
Frequently Asked Questions
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
The Wildfly performance monitoring tool helps developers to optimize the Wildfly server performance.
A good Wildfly APM solution answers the following two questions:
- Is an application broken or slow?
- What is issue that's causing the application broken or slow?
You can easily use application performance monitoring tools to answer, detect and resolve the above issues before they could impact the end users.
In general, there are two types of monitoring:
- Black-box monitoring - It allows you can monitor the external behaviour of your system such as CPU usage, disk usage, memory usage, load averages etc..
- White-box monitoring - It allows you to keep an eye on the applications running on your server. It requires an agent to enable white-box monitoring.
Every organization should have a well-implemented Wildfly APM solution, which allows DevOps teams (and the organization as a whole) to resolve issues and performance bottlenecks efficiently and reduce Mean Time To Resolution (MTTR). This has a substantial impact on the bottom line of the business.
Now organizations do not have to deal with the unnecessary work involved in maintaining an extensive software analysis group.
Your Wildfly performance monitoring tools should be easy to use, offer actionable insights, and be able to:
- Manage applications in the language(s) your apps use
- Track performance at the code level
- Keep an eye on end-user experiences
- Make use of artificial intelligence
- The ability to monitor the entire infrastructure
- Provides information that connects app performance metrics to business outcomes.
Technical Benefits:
- Increase application uptime and reduces downtime
- Code level diagnostics
- Avoid network outages
- Reduces MTTR
- Server metrics
- Alerts and notification on error information
Business Benefits:
- Higher conversion rate
- Improves SEO
- Better end-user experience
- Improves productivity
- Reduced operational costs
With the help of the database monitoring, you can easily identify the database performance bottlenecks.
- Understand who's using your databases.
- Track key performance metrics for DB performance tuning.
- Detect the slow and most-time consuming SQL queries to optimize it.
- Alerts on availability and performance issues.