Runtimes
Runtime Overview
Runtimes are the computing resources used to run processes and logic in application jobs and notebooks within the Syntasa platform. Users can define runtime templates, and configure cluster, container type, size, and settings.
Navigating Runtimes
As described in Runtime Overview , r untimes are the compute resources used to execute processes and logic within jobs and notebooks defined within the Syntasa platform. The defined runtime templates are available for selection in jobs, notebooks, and the interactive mode of apps.
Getting Started with Runtimes
Runtime templates manage the execution environments of various jobs by defining the configuration settings, such as resources and execution parameters, used during job execution. Understanding these templates is crucial for optimizing performance and ensuring efficient use of resources. Properly…
Creating Runtime Templates
As described in Runtime Overview , runtimes are the compute resources used to execute processes and logic within jobs and notebooks defined within the Syntasa platform. The various tasks and experiments being done in apps and notebooks likely require different types and sizes of runtimes.
Runtime Dependencies
Noted in Navigating Runtimes , the In Use column indicates whether or not the runtime template is used in an app job or a notebook. Clicking the Yes or No in this column navigates to the runtime template's Dependencies page.
Instances
The instances page displays a list of all instances associated with the currently selected runtime template. It mirrors the Runtime Management screen but is filtered to show only instances related to the selected runtime template. You can find a detailed article on Runtime Management under the…
Zeppelin Notebooks
It is possible to create a SPARK runtime with Apache Zeppelin enabled.
Enhancing Geospatial Capabilities for Notebooks via External Runtimes
Syntasa provides unified and enhanced geospatial processing capabilities for Notebook Processes and Notebook Workspaces , enabling advanced spatial and spatio-temporal analytics at scale.