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Summary 

TQLConsole ThingSpaces Configurator can be used to deploy and manage the A-Stack Runtime Environment consisting of your models (projects) on a target host machine(s).


                                           


A-Stack Runtime Environment deploy and manage can be done using TQLConsole ThingsSpace Configurator User interface or using TQL Command Line Interface (TQL CLI). 

It provides following functionalities :

  • Deploy Cluster 
  • Start/Stop/Restart of application in cluster nodes
  • Dynamic Editing of Application Configurations files per cluster peer basis
  • Execute Shell Script(s) and TQL queries against each application node
  • Application Monitoring for Memory, CPU Usage
  • Perform On-Demand Garbage Collection on a per node basis
  • Log Files Aggregation and ELK (Elastic Search, LogStash, Kibana Setup)

Preparing the Target Host(s)

Target Host(s) needs to be prepared before the TQL Applications can be deployed using ThingSpace Configurator.

Target Host(s) Requirements

  1. Target Host(s) OS - Please refer to A-Stack Runtime OS Support Matrix for details. Note the CPU, Memory and Storage of target host(s) is dependent on your Applications need.
  2. A-Stack Configurator Daemon:
    1. Port Requirement
    2. CPU, Memory footprint
    3. Always-on Vs On-Demand Mode

Download and Install A-Stack Configurator Daemon

  • A-Stack Configurator Daemon can be downloaded from your account page.

                    

  • Install A-Stack Configurator Daemon


Creating a Gold Copy of A-Stack Configurator

Docker Container
AWS EC2 AMI


The discovery result is divided into two parts: Local Engine and Cluster Nodes categorized the Group to which the nodes belong. 

User can view the details of the node by clicking on any node on the graph. The details will be published on the right hand side.

View A-Stack General Information

Users can view general information about each of the node by clicking on public IP address of the node.

View A-Stack for CPU, Memory

Performing On-Demand GC

Users can perform On demand Garbage collection on the invidiual nodes by clicking on the "Perform GC" button

TQLConsole DevOps UseCase on AWS InfraStructure

Elastic Search, Log Stash and Kibana Setup

From the invididual nodes the user can setup the log files to be written to a common mount point file system - Say: AWS EFS


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