Undetected Cache Fragmentation
Infinispan entries evict prematurely under hot partition skew. Second-level cache misses spike database load untracked. Platform engineers overprovision nodes without hit ratio baselines.
JBoss Performance Monitoring
Get end-to-end visibility into your JBoss performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Java monitoring to optimize your application.
Challenges
Why jboss Production Issues Are Hard to Diagnose?
Undertow Connector Blackouts
HTTP/2 streams pile up in acceptor threads during burst concurrency. NIO poller exhaustion drops persistent connections. SREs tune blindly across multi-port configs.
Clustered Domain Drift
JGroups multicast failures desync HA nodes without heartbeat profiles. Singleton deployments split-brain across partitions. Domain controllers mask member health until failover fails.
Silent Deadlock Propagation
MDBs deadlock on XA transactions spanning multiple datasources. Thread dumps bury EJB container locks in noise. Backend engineers kill processes instead of breaking cycles.
Untracked Datasource Leaks
Connection handles accumulate in JBossCLI data sources post-rollback. Max pool capacity hits zero under error storms. Platform teams recycle JNDI lookups without leak paths.
JMS Queue Backlogs
HornetQ persistence lags under high-volume producers without depth metrics. Message redelivery storms exhaust worker pools. SREs purge queues blind to consumer starvation.
Domain Controller Blindspots
Management realms lose audit trails across federated domains. CLI operations timeout without operation latency traces. Platform leads debug auth failures through console noise.
Immediate Runtime Telemetry
Connector metrics and thread states surface within seconds of agent attach. SREs correlate queue depth with JVM pauses instantly. Platform dashboards unify multi-instance health views.
Key Features
Complete Performance Visibility for JBoss Applications
Real-time observability for JBoss environments that helps teams understand request behavior, optimize processing flow, and resolve production issues faster.
Detailed Request Duration Breakdown
Measure how long each request takes across servlets, handlers, and internal processing layers. Quickly uncover slow execution paths affecting response times.
Identify Handler Bottlenecks
Pinpoint performance slowdowns within specific request handlers and processing components. Focus optimization efforts where delays originate.
Track Downstream Call Timing
Monitor response times for dependent services, microservices, and external APIs. Detect latency introduced by downstream systems.
Rich Error Detail with Trace-Linked Logs
Capture detailed error context alongside correlated logs for every request. Debug faster with full visibility across errors, traces, and performance data.
Why Atatus
Why Teams Choose Atatus for jboss Observability?
JBoss teams choose Atatus to examine real production request execution directly, instead of inferring behavior from disconnected data or averages.
01
Domain Instant Visibility
EJB metrics and undertow states surface cluster-wide post-attach. Platform controllers correlate node drifts instantly. HA health unifies across domain partitions.
02
Zero-Config Domain Coverage
JMX hooks instrument standalone and domain modes without standalone.xml edits. Backend fleets deploy without controller coordination. Full visibility hits prod Day Zero.
03
EJB-Level Stack Fidelity
Transaction rollbacks map to exact interceptor chains in prod dumps. Developers repro XA failures with container-equivalent traces. Debugging flows match runtime exactly.
04
Clustered Alert Correlation
Infinispan skew and pool exhaustion pagers trigger at 90% thresholds. SREs get cross-node runbooks per partition. Domain noise collapses to validated risks.
05
Observed Runtime Behavior
Debugging relies on what actually executed during live traffic, not assumptions about server or application flow.
06
Production Execution Evidence
Runtime evidence reflects real concurrency, real data, and real load patterns seen only in production.
07
Comparable Request Review
Failing and successful requests can be examined side by side using observed execution behavior.
08
Repeatable Issue Inspection
Recurring production issues can be reviewed consistently without unreliable local reproduction attempts.
09
Production-Driven Actions
Release, rollback, and mitigation actions are taken using observed production execution rather than intuition.
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 JBoss performance monitoring tool helps developers to optimize the JBoss server performance.
A good JBoss 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 JBoss 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 JBoss 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.