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APM Solutions

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Today's Application Complexity Requires A New APM Approach


Understand True System Behavior
Distributed, SOA-based, virtualized apps make it increasingly difficult to understand how transactions are processed at run-time.

Eliminate Finger-Pointing
Finger-pointing happens in the absence of detailed performance diagnostic evidence. Who’s responsible?

Validate Architectures Early
New approaches to building applications offer great benefits but must be validated early on to ensure they deliver.

Penetrate Application Complexity

Software systems are becoming more complex. Due to trends like SOA, the integration of services from other applications becomes a common practice, leading to more heterogeneous and interdependent applications. Plus, commonly needed functionality such as O/R mapping or remote communication is often added through 3rd-party libraries in order to meet time-to-market constraints. Consequently, today’s applications increasingly rely on unknown code, which also increases the likelihood of performance problems due to their incorrect use.

As a result, software architects face problems like:

Too long to find the root cause of application performance problems in production

Diagnosing the root cause of application problems in staging and production environments has become quite challenging with today’s complex enterprise applications.

Learn how to cut the time needed to identity root cause of application performance problems deep inside Java/.NET code layer.

Too much time “firefighting” tactical performance issues

As a software architect you are usually the first one from development confronted with application performance issues occurring in load testing (staging) and production environments and that require a rapid fix.

Learn how you can significantly accelerate and also easily hand-off such time consuming firefights.

Hard to validate if implementation adheres to architectural specifications

The software architecture of today’s complex applications not only directly affects their performance and scalability, but increasingly also determines the required system architecture of the application once deployed into production (e.g., caching, service virtualization and clustering, failover, etc.).

Learn how UML runtime modeling helps architects validate if implementation adheres to architectural specifications.

Applications not scaling and performing as expected

Although you have carefully aimed your application’s architecture to handle large loads in a distributed WAN environment, the application does not scale up as required in staging load tests or in the final production environment.

Learn how to efficiently analyze the root cause of such scalability issues.