3.6

3.6 3.5 3.4.0 3.3.1 3.3.0 3.2.2 3.2.1 3.2.0 3.1.3 3.1.2

Home
Getting started
Installing
Managing Akamas
Using
Optimization Guides
- Optimize application costs and resource efficiency
  Kubernetes microservices
  Optimize cost of a Kubernetes deployment subject to Horizontal Pod Autoscaler
  Optimize cost of a Kubernetes microservice while preserving SLOs in production
  Optimize cost of a Java microservice on Kubernetes while preserving SLOs in production
  Application runtime
  Optimizing a sample Java OpenJDK application
  Optimizing cost of a Node.js application with performance tests
  Optimizing cost of a Golang application with performance tests
  Optimizing cost of a .NET application with performance tests
  Applications running on cloud instances
  Optimizing a sample application running on AWS
  Spark applications
  Optimizing a Spark application
- Optimize application performance and reliability
  Kubernetes microservices
  Optimizing cost of a Kubernetes microservice while preserving SLOs in production
  Optimizing cost of a Java microservice on Kubernetes while preserving SLOs in production
Integrating
Reference
Knowledge Base

Powered by GitBook

On this page

Was this helpful?

Workflow Operators

Last updated 8 months ago

This section documents the out-of-the-box workflow operators.

Operator

Description

Executes a shell command on a machine using SSH

FileConfigurator

Interpolates configuration parameters values into a file with templates and saves this file on a machine using SSH

LinuxConfigurator

Configures Linux kernel parameters using different strategies

WindowsExecutor

Executes a command on a target Windows machine using WinRM

WindowsFileConfigurator

Interpolates configuration parameters into files on remote Windows machines

Pauses the execution of the workflow for a certain time

Executes custom queries on Oracle database instances

OracleConfigurator

Configures Oracle database instances

SparkSSHSubmitOperator

Executes a Spark application using spark-submit on a machine using SSH

Executes a Spark application using spark-submit locally

Executes a Spark application using the Livy web service

Triggers the execution of performance tests using NeoLoad Web

Runs a performance test with LoadRunner Professional

LoadRunner Enteprise

Runs a performance test with LoadRunner Enterprise