Key-value store
Overview of the key-value database concept and how it is imlpemented in Butler.
Overview of the key-value database concept and how it is imlpemented in Butler.
The how and why of the Butler scheduler.
Overview of the actions Butler can take when a reload task fails or is aborted.
Tracking successful reloads can be useful for various reasons, for example knowing how long different app reloads takes on average.
Starting Sense reload tasks (and other tasks) is usually done from the QMC.
Using Butler’s REST API it’s however very easy to start tasks from any third party system capable of making a REST call.
There are various enterprise grade tools for handling IT incidents. Butler can integrate with such tools, for example forwarding information about failed reloads to an IT operations team.
Manipulating files from Sense load scripts in a secure yet flexible way.
Details about how Qlik Sense can use Butler to send pub-sub messages using MQTT.
A basic, stand-alone UDP client is included in Butler.
Butler can monitor Windows services and send alerts if a service is not running.
Services on multiple servers can be monitored, and Butler can send alerts to destinations such as Slack, Teams, email, webhooks, InfluxDB, New Relic and MQTT.
Details about the real-time metrics (active user count etc) provided by Butler.