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Agile IT Operations, Cloud and DevOps

 
2021-04-19

Automation; an evolving process for Hurtigruten

Most traditional companies have a core of manual services or products, and to start a digitalization can be a giant leap. One of the undoubtedly most traditional companies in Norway is taking this big step right now. Hurtigruten is developing new processes, including more open-source, and they came to our podcast IT Talks to talk about it. Now they are aiming to automate everything that can be automated.
Written by Kirsti Stien
2021-04-12

Containers 101

Container driven development is catching on like wildfire, and for good reasons. In the age of digital transformation, time to market is becoming a competitive edge impossible to ignore. To be able to speed up the software development and deployment, monolithic application development sooner or later will be extinct.
Written by Margrethe Monsen
2021-03-24

Video conferencing and privacy, choosing a solution

The last year has been a challenge for most people in Scandinavia and the rest of the world, battling against COVID19 and trying to keep their lives and jobs up and running. But it has also been a year of change, with increased use and acceptance of home working pushing the boundaries for several technologies that support team working and collaboration.
Written by Michael Nemecky
2021-03-24

Video Conference as a Service

During the Covid pandemic we have been getting used to working out of the office, with various video conferencing solutions as the primary mean of contact with colleagues, customers and partners. Many of us are used to video conference meetings that starts with (best case) a couple of minutes of ”can you hear me?”, ”no – can’t hear you”, ”do you see me now?” and so forth….Another concern in these days of advanced surveillance tooling, AI, GDPR and Schrems II verdicts, is the question of who is really listening in to our conversation when using a cloud based video conferencing solution?
Written by Fredrik Svensson
2020-05-25

Why Machine Learning models should run in Containers

Machine Learning (ML) is being implemented to varying extents in businesses all over. However, seamlessly integrating ML workflows into existing infrastructure can be somewhat challenging. This is the first article in a series on DevOps for Machine Learning - how to automate the ML process. In this chapter we will explore the benefits of running ML models as microservices and with what tools.
Written by Mia Ryan