In my previous blog post, we explored the core features offered by SAP Cloud ALM Exception Monitoring, as a central place to collect and review the exceptions of your monitored logs.
Today, I will guide you through the next major innovation of Exception Monitoring, which will drastically reduce the number of log entries to be reviewed to surface critical exceptions. What a relief from your daily burden!
Shrink your number of exceptions by a factor of up to 1000x
Every SAP Cloud ALM app, which embeds Exception Monitoring, now also offers a page entitled: Exception Pattern Analysis.
Once activated, this powerful AI continuously analyses all collected exceptions to identify text placeholders. As a result, it can group exception instances to produce a comprehensive overview across your complete landscape.
Let’s have a look at the following extreme case. As you can see, Exception Monitoring collected nearly 500.000 exceptions in one day.
By enabling this great AI feature, you end up with only 191 patterns!
In addition, out of the box, you get the following useful information for every pattern:
Number of exceptions matching the pattern
Number of placeholder instances detected for the pattern (a.k.a. variants)
Graphical display of the exception occurrences over the selected time frame
First time when an exception matching the pattern occurred (elapsed time)
Last time when an exception matching the pattern occurred (elapsed time)
Category
System or Service name
By opening the table settings, you can sort by the ‘First Seen’ column, to surface the type of exceptions that are newly detected within your landscape.
Last but not least, by drilling down into one pattern, you can even review the distribution of the variants over time.
What comes next?
Have you ever dreamt of being notified about exception trends? Do you have a new exception pattern in your landscape? Is a seasonal exception suddenly shifting? Or is there an outbreak somewhere?
Stay tuned for my next blog posts, unveiling the details.
IntroductionIn my previous blog post, we explored the core features offered by SAP Cloud ALM Exception Monitoring, as a central place to collect and review the exceptions of your monitored logs.Today, I will guide you through the next major innovation of Exception Monitoring, which will drastically reduce the number of log entries to be reviewed to surface critical exceptions. What a relief from your daily burden!Shrink your number of exceptions by a factor of up to 1000xEvery SAP Cloud ALM app, which embeds Exception Monitoring, now also offers a page entitled: Exception Pattern Analysis.Once activated, this powerful AI continuously analyses all collected exceptions to identify text placeholders. As a result, it can group exception instances to produce a comprehensive overview across your complete landscape. Let’s have a look at the following extreme case. As you can see, Exception Monitoring collected nearly 500.000 exceptions in one day.By enabling this great AI feature, you end up with only 191 patterns! In addition, out of the box, you get the following useful information for every pattern:Number of exceptions matching the patternNumber of placeholder instances detected for the pattern (a.k.a. variants)Graphical display of the exception occurrences over the selected time frameFirst time when an exception matching the pattern occurred (elapsed time)Last time when an exception matching the pattern occurred (elapsed time)CategorySystem or Service nameBy opening the table settings, you can sort by the ‘First Seen’ column, to surface the type of exceptions that are newly detected within your landscape.Last but not least, by drilling down into one pattern, you can even review the distribution of the variants over time.What comes next?Have you ever dreamt of being notified about exception trends? Do you have a new exception pattern in your landscape? Is a seasonal exception suddenly shifting? Or is there an outbreak somewhere?Stay tuned for my next blog posts, unveiling the details. Read More Technology Blog Posts by SAP articles
