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Operating multiple heterogenous Atlassian stacks at scale and still being able to move fast, requires a flexible infrastructure and tooling. We’ll show you how we manage our Atlassian stacks at scale and still manage to upgrade 50 Confluence instances in less than an hour.
Scandio Case Study
Speaker: Details Follow
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Agility at Scale with Atlassian Datacenter on AWS
Speaker: Christian Koch, Scandio
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Christian Koch, Co-founder and CEO at Scandio, holds a degree in Computer Science. He began his IT career at Softlab (1990 – 1994) as a developer in service & support and sales control while he was completing his studies of computer sciences at the Munich University of Applied Sciences.
In 1994 he co-founded 2CK Software. As a managing partner, Christian Koch was responsible for sales & marketing and product management. Following the acquisition of the company by Gauss Interprise AG in February 2000, he became responsible for services and joined the management board of Gauss Interprise Consulting AG. From January 2002 to the middle of 2003, he was in charge of Operations as COO of evodion AG and COO of evodion Information Technologies GmbH & Co KG.
Since founding Scandio, he has been responsible for Marketing and Sales as well as Recruiting.
Agility at Scale with Atlassian Datacenter on AWS
An agile transformation such as BMW Group’s move towards 100% agile is a large and complex change. A consolidation of the tool landscape is a typical and oftentimes necessary step of such a transformation. Common tools enable effective collaboration, and having a single point of truth is what makes company-wide metrics meaningful and valuable. The Atlassian data center platform provides a toolbox for virtually unlimited performance at scale, high availability, zero-downtime upgrades and other enterprise features which empower such a transformation. Even computing farms with hundreds of CPU cores are no longer a reliable guarantee for adequate user experience if the platform needs to serve a heterogeneous user base of 50k users and beyond, spread all over the world in different time zones and with distributed peak times of tool usage.
The cloud computing paradigm and in particular Amazon Web Services (AWS) promise a sustainable solution for the challenges at (large) enterprise scale.
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