Best-Practice: What if you can't use hyperscaler technology
How DFKI relies on local providers with the European Language Grid
With over 24 official languages and hundreds of regional languages, Europe is a multilingual society. This diversity is at the heart of Europe, but it is also one of the reasons for the fragmentation of Europe’s digital marketplace. For this reason, as part of a consortium, the German Research Center for Artificial Intelligence (DFKI) is developing the European Language Grid (ELG). This is a scalable cloud platform that will provide access to hundreds of commercial and non-commercial language technologies for all European languages in a way that is easy to integrate.
So far, the market for commercial language technologies has been dominated by American companies such as AWS, Google, and Microsoft. It’s no coincidence that these are the very same companies that also carve up the cloud market amongst themselves as hyperscalers. For Project ELG, this means that the development of a cloud-native platform should not run on these hyperscalers. That feels uncomfortable for most any developer and DevOp at first, and it brings with it some additional technical pitfalls.
Florian Kintzel will provide his insights into the last few years of development:
- What technical challenges had to be faced and were overcome?
- From IP ranges to S3 storage – a hands-on mentality and the courage to take risks and let things go wrong
- How to build a monitoring architecture that will be accessed by hundreds of language technology providers from across Europe
Florian has been working in the IT industry for over 20 years. His latest focus has been on the cloud, working as software architect for the IaaS provider ProfitBricks (now part of Ionos SE), then most recently as senior consultant at DFKI, with the mission to raise their state-of-the-art research to production grade.
Tim Friedrich is responsible for technical sales & marketing at SysEleven GmbH. For almost 20 years, he has been active in various roles at software companies and implementation partners for cloud solutions. Meanwhile, his focus is clearly on cloud native transition projects with Kubernetes and Co.
The German Research Center for Artificial Intelligence (DFKI) GmbH was founded in 1988 as a non-profit public-private partnership (PPP). It maintains locations in Kaiserslautern, Saarbrücken, Bremen, a project office in Berlin, a laboratory in Lower Saxony and field offices in Lübeck, St. Wendel and Trier. DFKI is Germany’s leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods.
DFKI is involved in numerous committees for the science and technology location Germany and enjoys a high reputation in the training of young scientists far beyond Germany. Currently, about 670 highly qualified scientists, administrative staff and 450 student employees from more than 65 nations are working on over 250 research projects. DFKI serves as a career springboard for young scientists into leadership positions in industry or into self-employment through spin-off companies. Over the years, more than 140 employees have been appointed as professors to chairs at universities and colleges in Germany and abroad.
SysEleven was founded in 2007 by Marc Korthaus and currently employs more than 100 people. SysEleven provides a vertical technology stack. This includes Managed Cloud Services, an OpenStack Public Cloud, and Kubernetes as a Service, as well as network and carrier services. If desired, these are also exclusively provided in German data centers via its own fiberoptic ring.
Since its founding, SysEleven has gained a lot of experience in operating distributed systems, the rapid scaling of workloads, and the availability requirements of business-critical systems. With SysEleven’s NEO methodology, experts are at your side from concept consulting, training of your admins, and DevOps all the way up to fully managed operations. To do this, SysEleven takes an in-depth look at best-of-breed technologies. That way, you have the freedom to choose which technologies you want to use.
Since 2018, SysEleven has been a member of the Cloud Computing Native Foundation and is a certified Kubernetes provider. With SysEleven’s Kubernetes-as-a-Service solution MetaKube, you also enjoy full freedom of choice: whether it’s an on-premise solution, one running on Amazon Web Services (AWS), Microsoft Azure, or on the SysEleven OpenStack Cloud: You always make the right decision. For your business. Now and in the future.
For more information, visit www.syseleven.de.