Understanding transaction flow and measuring normal vs. abnormal with an ability to compare against a set of expectations is key to managing complex systems and reducing the impact of failures and
...Read More Understanding transaction flow and measuring normal vs. abnormal with an ability to compare against a set of expectations is key to managing complex systems and reducing the impact of failures and preventing the risk of cascading failures.
In this white paper you will learn how to automatically and dynamically define normal behavior for composite applications through automated discovery of the following:
• The inventory of all components, servers, applications and networks
• The interdependency of components and their topology
• The flow of information, meaning how components communicate and interact
• All relevant KPIs (key performance indicators) that describe the behavior of each component
and the system as a whole (such as response time, latency, error rates, volume, transaction
rate, etc)
• How to use this information to predict business impacting failures, shorten MTTR and even increase MTBF