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 configured runtime templates can significantly enhance job efficiency and resource allocation. Below is the list of articles related to runtime:

General

These articles cover the fundamentals, management, and configuration of runtimes, providing valuable insights and practical steps for optimizing runtime environments.

• Runtime Overview
  An introduction to the concept of runtime within SYNTASA, explaining its importance and how it plays a critical role in ensuring the successful execution of jobs and notebooks. Runtimes define the configuration parameters and underlying infrastructure necessary for processing data and running code. Understanding runtimes is fundamental to effectively utilizing the SYNTASA platform.
• Understanding Runtime Template List
  This article explains the various columns displayed in the runtime template list.
• How to create a new Runtime template?
  Step-by-step instructions on how to create a new runtime template from scratch within the SYNTASA platform.
• How to create a new runtime template by copying the existing runtime template?
  Learn how to efficiently create a new runtime template by copying and modifying an existing template.
• How to check a list of components using a specific Runtime template?
  A guide on how to view and manage the list of components that utilize a specific runtime template in SYNTASA.
• How to check instance details for a single runtime template?
  Instructions on how to check detailed information about instances associated with a single runtime template.

Runtime Type

In SYNTASA, various runtime types facilitate different processing and computational needs. These runtime types enable users to leverage diverse infrastructure options, such as AWS and GCP, for both batch and stream processing. Each runtime type is designed to integrate seamlessly with SYNTASA’s platform, offering flexibility and scalability to meet the specific requirements of different data workloads. Here is the list of runtime types supported by SYNTASA:

• AWS EMR Cluster
  A detailed overview of using AWS EMR Clusters in SYNTASA, including setup and configuration instructions.
• AWS EMR Stream Cluster
  Learn about the specifics of AWS EMR Stream Clusters and their application within SYNTASA.
• GCP Dataproc Cluster
  Guidelines for setting up and managing GCP Dataproc Clusters in the SYNTASA environment.
• GCP Dataproc Stream Cluster
  Understand how to utilize GCP Dataproc Stream Clusters for real-time data processing in SYNTASA.
• Kubernetes Container
  Comprehensive information on deploying and managing Kubernetes Containers within SYNTASA.
• Kubernetes Stream Container
  Details on using Kubernetes Stream Containers for streaming data applications in SYNTASA.

Runtime Management

Syntasa's Runtime Management Page is a vital tool for monitoring and controlling runtime instances. You can learn more about runtime management through the following guides:

• Runtime Management Overview:
  This article covers the understanding of runtime templates, instances, and features that enhance resource optimization and cost management.
• **Monitoring the Runtime Instances**This guide explains how to access the Runtime Management Screen, understand its various columns, manage instances for different runtime modes, and export runtime insights for advanced analysis​.