Article
David Underhill · Jul 12, 2019 2m read
Basic Database Metrics example

This is a self contained class that can be run from the Intersystems Task Scheduler which records peak usage details for databases and licenses built up throughout the day and retaining 30 days history.

To schedule the task to run every hour:

d ##class(Metrics.Task).Schedule()

You can also specify your own start time, stop time, and run interval:

d ##class(Metrics.Task).Schedule(startTime, stopTime, intervalMins)

Metrics are stored in ^Metrics in the namespace that the class resides in/is run from.

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From time to time, we get the previous question in support, something or someone is using more licenses than expected, and we need to find what.

We have two scenarios. The first scenario is when we realize that the licenses are exhausted when the application does not work or when we try to connect through the terminal and get the "lovely"

<LICENSE LIMIT EXCEEDED> message:

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Presenter: Kerry Kirkham
Task: Prevent application-to-application interface problems from escalating
Approach: Give examples of using alerts to get the right person working on a problem as soon as possible

Problems with application-to-application interfaces are inevitable but in most cases they can be fixed with little disruption as long as the right person gets to know about it as soon as possible. But delays in attention cause problems to escalate, pressure mounts and business suffers. This session looks at how monitoring and alerting can be set up to recognize problems and get the right person working on the problem in the shortest possible time so that small problems don’t turn into major issues.

Solution: Using alerts to minimize interface problems

Content related to this session, including slides, video and additional learning content can be found here.

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When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.

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Article
Evgeny Shvarov · Aug 2, 2020 1m read
Application Errors Analytics

Hi Developers!

As you know the application errors live in ^ERRORS global. They appear there if you call:

d e.Log() 

in a Catch section of Try-Catch.

With @Robert Cemper's approach, you can now use SQL to examine it.

Inspired by Robert's module I introduced a simple IRIS Analytics module which shows these errors in a dashboard:

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Presenter: Luca Ravazzolo
Task: Track the status and performance of clustered environments
Approach: Give examples of using modern technology to spot potential bottlenecks before they turn into problems

This session will discuss how modern technology can be used to keep track of the status and performance of your cloud clustered environments.

Content related to this session, including slides, video and additional learning content can be found here.

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Presenter: Barry Cooper
Task: Enable users to perform analytics within an application and take actions based on those analytics
Approach: Provide examples of embedding DeepSee within applications

Analytics is more than just using data to provide insight. Analytics is about taking action on that insight. See examples of how you can embed DeepSee in your applications, allowing you to take action.

Content related to this session, including slides, video and additional learning content can be found here.

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