This page describes the hardware components required for the Web Monitoring Private Synthetic Agent (PSA) and API Monitoring Private Synthetic Agent (PSA) to run in the Docker engine, Kubernetes cluster, and Minikube.

Web Monitoring PSA supports these platforms:

  • SaaS Controllers
  • On-premises Controller >=21.4.1 with on-premise Synthetic Server >=21.4.1 
  • Chrome browser
  • x86-64 architecture

API Monitoring PSA supports these platforms:

  • SaaS Controllers >=21.11
  • Javascript
  • x86-64 architecture
  • Web Monitoring PSA on Google Cloud Platform is not supported with an on-premise Synthetic server
  • API monitoring PSA is not supported with on-premise Controllers

Prerequisites

DockerKubernetesMinikube
  • Docker v20.10.20 
  • Python >=3
  • License units (SaaS and On-Premise):
    • Browser Synthetic Monitoring - Private Agent - Per Location
    • Browser Synthetic Monitoring - Private Agent - Unlimited Location
  • Kubernetes cluster v1.21 to v1.22
  • Python >=3
  • License units (SaaS and On-Premise):
    • Browser Synthetic Monitoring - Private Agent - Per Location
    • Browser Synthetic Monitoring - Private Agent - Unlimited Location
  • Python >=3
  • License units (SaaS and On-Premise):
    • Browser Synthetic Monitoring - Private Agent - Per Location
    • Browser Synthetic Monitoring - Private Agent - Unlimited Location

Hardware Requirements

The following tables list the hardware components and their recommended configuration for Docker, Kubernetes, and Minikube environments:

Docker

ComponentDescriptionMinimum


Recommended



Instance

CPU

RAM (GB)

Disk (GB)

Instance

CPU

RAM (GB)

Disk (GB)

Heimdall

An orchestrator that connects to the Synthetic Cloud to fetch measurement jobs for the PSA cluster.

1

1

1


1

2

2


Apache IgniteIn memory cache 10.50.5211120

Web Monitoring Measurement Container

A temporary or short-lived container auto-orchestrated by Heimdall to execute Web Monitoring measurements.

As per your requirement

0.5

1


As per your requirement

1.25

2


API Monitoring Measurement Container

A temporary or short-lived container auto-orchestrated by Heimdall to execute API Monitoring measurements.

As per your requirement

0.1

0.1


As per your requirement

0.1

0.1


Kubernetes

Component

Description

Minimum ConfigurationRecommended Configuration
# InstancesPer Instance# InstancesPer Instance
HeimdallAn orchestrator that connects to the Synthetic Cloud to fetch measurement jobs for the PSA cluster.1Processor: 2 vCPU
Memory: 4 GB RAM
2Processor: 3 vCPU
Memory: 5 GB RAM
Apache IgniteIn memory cache1Processor: 0.5 vCPU
Memory: 0.5 GB RAM
2Processor: 1 vCPU
Memory: 1 GB RAM
Measurement
Container
A temporary or short-lived container auto-orchestrated by Heimdall to execute every measurement.

(Web Monitoring PSA) The measurement container image can be customized to install additional libraries.
Based on need, a temporary container instance is scheduled for every measurement

Burst-able CPU-RAM

Based on need, a temporary container instance is scheduled for every measurement

Burst-able CPU-RAM

Web Monitoring PSA:

Min: 0.5 vCPU, 1 GB RAM

Max: 1.25 CPU, 2 GB RAM

API Monitoring PSA:

0.1 vCPU and 100 MB RAM

Web Monitoring PSA:

Min: 0.5 vCPU, 1 GB RAM

Max: 1.25 CPU, 2 GB RAM

API Monitoring PSA:

0.1 vCPU and 100 MB RAM

Minikube

ComponentDescriptionMinimum


Recommended



Instance

CPU

RAM (GB)

Disk (GB)

Instance

CPU

RAM (GB)

Disk (GB)

Minikube

Minikube is a lightweight Kubernetes implementation that creates a VM on your local machine and deploys a simple cluster containing only one node.  

1

4

4


1

8

8


HeimdallAn orchestrator that connects to the Synthetic Cloud to fetch measurement jobs for the PSA cluster.111
222
Apache IgniteIn memory cache 10.50.5221120

Web Monitoring Measurement Container

A temporary or short-lived container auto-orchestrated by Heimdall to execute Web Monitoring measurements.

As per your requirement

0.5

1


As per your requirement

1.25

2


API Monitoring Measurement Container

A temporary or short-lived container auto-orchestrated by Heimdall to execute API Monitoring measurements.

As per your requirement

0.1

0.1


As per your requirement

0.1

0.1


Number of Measurement Containers 

You can calculate the number of required concurrent containers using this formula:

( (Number of Jobs) x (Average job duration in minutes) / (Frequency in minutes))

For example, the number of containers required for 10 jobs with an average duration of 30 seconds per job executed at 5-minute interval needs:

(10 x (30/60) ) / 5 )  = 1 container

Concurrent Measurements

The Kubernetes cluster specifications determine the number of concurrent measurements that can be executed. Any submission of jobs beyond the infra limits leads to the queuing of jobs in the Kubernetes cluster. To scale the number of concurrent jobs automatically, enable cluster auto-scaler. K8S auto-scaler functionality depends on the cloud or the managed service provider.

To set up Web Monitoring PSA and API Monitoring PSA in any of these environments, see: