Prelert's Self Learning IT Analytics Use Cases
Real World Use Cases
Our customers run some of the most advanced IT environments in the world. They rely on Prelert to isolate the root cause of complex application problems in real-time reducing their frequency and duration by 90%. >> see all of our case studies
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Data Sheet: Application Problem Analytics Download our datasheet for a product overview
Whitepaper: How It Works Self-learning IT analytics use existing management data to find root cause in real-time
See Prelert in Action Arrange for a product walk through with one of our systems engineers
MSP User Portal Failures
Service Providers stake their reputations on effectively maintaining robust service levels. So when this MSP couldn't resolve an intermittent problem that prevented users from completing self-service transactions on their portal, it was a nightmare.
Prelert was fed the same log files that Tivoli had been processing for weeks. In minutes, Prelert identifies a causal sequence that begins with a configuration change 'success' message. >> download the case study
Slow Market Data Feeds
For two months, slow market data made opening bell a painful time for this bank's traders. Meanwhile IT experts waded through 15 GB of data each day looking for the root cause. Finally, they gave up and recommend a $1 million infrastructure upgrade.
A subset of the data was then fed into Prelert. Within minutes it identified the causal sequence. The bank saved $1 million and Prelert gains a customer. >> download the case study
VP of Global Services to the Rescue
Arriving to work earlier than usual, this VP sees notifications of an SLA violation in a critical business application. His operations team hasn't arrived yet and their consoles are lit with 'thousands of alarms'. He decides to 'see what the Prelert system had to say'.
He quickly sees that Prelert has already classified the storm of alerts into three categories of related events. Two of these obviously have nothing to do with the problem at hand.
He clicks the 'Show Root Cause' button associated with the third group and gets the information he needs to prepare a remediation plan of action for his support staff prior to their arrival 15 minutes later.