StackState Blog

Monitor NGINX in context with the rest of your IT stack.

Capture your entire IT stack in one data model

Monitor Docker with StackState - Part 4

How to monitor a Kubernetes environment - Part 3

Monitor Mesos with StackState - Part 2

The Container Monitoring Problem - Part 1

8 Predictions for DevOps in 2017

Automate incident investigation to save money and become proactive

Product update: here's what's new from January

Why don’t monitoring tools monitor changes?

Let Operational Analytics improve your business

StackState a forerunner for the DevOps Agile Skills Association

StackState announces Giga-level sponsorship of Splunk .conf2016

From monitoring Elasticsearch to team view alerts, here's what's new with StackState in July

An answer to the alert storm: introducing Team View Alerts

The basics of Deep Learning - How to apply it to predict failures

StackState a Gold Sponsor at DevOpsDays Amsterdam 2016

The model behind a dynamic real time IT blueprint

Global Launch of StackState

StackState counts down to public release

Are all those IT Ops tools driving you crazy?

The Perfect IT Ops World

Are SLAs in IT Service Management dead?

"Something is technically wrong" #TwitterDown

Major challenges IT Operations have to deal with

Key takeaways from Gartner DCIOM Summit in London

StackState at Gartner Summit 2015 in London

Upcoming market version delivered to customers

StackState present at DevOpsDays Silicon Valley 2015

Autonomy (in Dev/Ops tooling) does not equate loss of control

The Monitoring Maturity Model explained

StackState shows its new interface

Preventing surprises with a realtime visual model of the IT Stack

StackState gets a big data store with time travel capabilities

Smart IT monitoring and root cause analysis needs big data

StackState gets a full house at Xebicon '15

Our Mission

To simplify the lives of IT managers, Operators and Developers

To accomplish this, we created an Algorithmic IT Operations platform. It aggregates information from a multitude of sources and existing Dev/Ops tools to provide a unique insight into the health of the entire IT stack and to find root causes of problems across tools, teams and departments. Validate the effects of changes before applying them. Not only for one type of system, but for the full stack regardless of its size.

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