workload-automation

A Golang based high performance, scalable and distributed workflow framework

Benchmarking and monitoring automation, designed for cloud, built with .NET.

Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework:

Collective Knowledge workflow for ARM's workload automation tool: an open framework for gathering and sharing knowledge about system design and optimization using real-world workloads.

Recipe to run a memtier benchmark on a cluster of KVM-hosted Redis servers

A tool for submitting pipeline scripts to distributed resource managers.

Lightweight, extensible, and fair multi- DNN manager for heterogeneous embedded devices.

A simple docker-compose ready repository for using Apache Airflow.

ARM's workloads in the universal Collective Knowledge Format with JSON API and JSON meta information to power Workload Automation Framework

Megatunger's Infrastructure as Code using Terraform

Watches the changes in the file system, variables and data records

HCL Workload Automation Observability for Datadog

Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:

R2MD is a tool that wraps version details from all PODs via Rancher API and prettify results using Markdown notation.

niiy is an multi-platform software for job scheduling and workload automation

HCL Workload Automation Observability for Splunk

HCL Workload Automation Observability for Dynatrace