• Videos & Demos

    See all there is to see!

    Why We Built OpsStack

    Full-Stack Full-LifeCycle

    Quick video on why we built this amazing platform after a decade of deep in-the-trenches ops experience

    Animated Overview

    Quick look at OpsStack, who it's for and how it makes your life easier.

    Quick Overview

    OpsStack is build by Ops and use for Ops. This overview demo will help you to go through with the system and you can see directly about what is OpsStack and what is in there, included main features like Explorer, Tech Center, Docker, Monitoring and Cloud center.

    What is Full-Stack, Full-LifeCycle

    and Why is it Important?

    Why we care about full-stack and full-lifecycle tools and why customers need them.

    Quick Story

    Quick intro by our Founder Steve Mushero on what OpsStack is, why and how we built it.

    Why Ops Needs AI

    How AI / Expert Systems Help

    Ops needs AI/Expert Systems to manage increasingly complex systems as they scale.

    TOSCA for Cloud Operations

    Quick intro on TOSCA and OpsStack

    OpsStack Provides Forward, Reverse, and Change Engineering for systems by modeling everything in TOSCA. This is the first in a series of videos on TOSCA and how we've extended it for full-stack use.

    System Explorer

    See Everything

    OpsStack has a lot of moving parts and is designed to manage large systems, so it can be a bit hard to find things. The System Explorers shows many parts of many things in one unified interface, with links off to everything else.

    Dynamic Tech Centers

    Tuning & Troubleshooting

    OpsStack supports many different technologies and services from Linux & Windows to Nginx, Apache, MySQL, Oracle, Redis, Tomcat, and more. These Centers show details, graphs, configurations, best-practice audits, and much more.

    AWS Centers

    Manage Clouds

    OpsStack can many several different clouds systems, starting with this AWS Center which has reports, lists, search, and details about various parts of AWS.

    AI/ML in OpsStack

    How OpsStack uses AI / Expert Systems

    AI/ML are powerful tools, but how are they used in OpsStack and why does Ops need theM?