WebSphere JVM blindspots
Thread pool exhaustion evades detection as executor queues saturate without runtime visibility into lock contention or queue depths under production load.
WebSphere Performance Monitoring
Get end-to-end visibility into your WebSphere performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Java monitoring to optimize your application.
Challenges
Why WebSphere Production Issues Stay Unresolved?
EJB queuing delays
Container backlogs hide transaction-level breakdowns to database waits, leaving servlet response paths fragmented across filter chains and downstream calls.
GC pause fragmentation
Major/minor collection cycles scatter across verbose logs without aggregate histograms, masking allocation hotspots and survivor space bottlenecks.
Cluster log dispersion
Node-specific events fragment across isolated WebSphere files, obscuring dynamic workload routing and load balancer strain during scale events.
Session replication latency
State sync delays compound invisibly across geographic clusters, evading end-to-end latency percentiles for WebContainer bottlenecks.
Message engine failover gaps
JMS queue backlogs and MDB crashes evade cross-node timelines, prolonging root-cause hunts during distributed outage cascades.
Method profiling absence
Phantom memory leaks demand manual heap walks without bytecode-level granularity, fueling JVM-vs-code ownership debates in SRE teams.
Scaling Breaks Assumptions
As clusters scale horizontally, previously stable workloads behave differently. Performance baselines drift without warning or explanation.
Key Features
Complete Performance Visibility for WebSphere Applications
Real-time observability for WebSphere environments that helps teams understand request performance, optimize system behavior, and resolve production issues faster.
Detailed Request Timing Breakdown
Track how long each request takes across servlets, controllers, and internal processing layers. Quickly identify slow execution paths affecting response times.
Monitor JVM Response Latency
Measure JVM processing time, thread performance, and runtime delays across requests. Uncover bottlenecks inside the Java virtual machine.
Identify Database Call Delays
Analyze query execution times and database latency in real time. Eliminate inefficient data access slowing application performance.
External HTTP Impact with Trace-Linked Logs
Track response times for external services alongside correlated request logs. Debug faster while understanding how external dependencies influence performance.
Why Atatus
Why Teams Choose Atatus for websphere Observability?
Atatus is chosen when teams need reliable production understanding without friction. It earns trust by aligning with how engineers actually debug, validate, and operate WebSphere systems.
01
Native WebSphere instrumentation
Zero-config agents hook classloading to capture JVM internals without deployment cycles or config drift across scaled clusters.
02
End-to-end transaction paths
EJB/servlet flows correlate seamlessly to JDBC deadlocks and external calls, surfacing latency cliffs in unified trace views.
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
Runtime GC mastery
Pause histograms predict old-gen promotion failures while metaspace traces link classloader leaks to allocation patterns proactively.
05
Automated thread diagnostics
Live heap walkers parse executor saturation alongside SQL waits, cutting manual dump analysis from hours to seconds.
06
PMI metric federation
Native counters stream into distributed queries with custom MBean pivots, linking admin console data to flame graph hotspots.
07
Cluster scale propagation
Auto-discovery instruments dynamic nodes while traffic histograms expose load balancer inefficiencies and session affinity gaps.
08
Prod validation
Backend stacks diff dev/staging baselines against cluster p99s, quantifying code deploy regressions empirically before rollout.
09
Incident velocity acceleration
Unified query planes shave SRE MTTR via anomaly flyouts that contextualize alerts with method-level root causes instantly.
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 WebSphere performance monitoring tool helps developers to optimize the WebSphere server performance.
A good WebSphere 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 WebSphere 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 WebSphere 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.