The developers behind Elisa Esports system spill the beans on how they have built a comprehensive solution to run the whole show.

All in the Game with the Elisa Esports Development Team

As we constantly improve our service offering and the performance of Elisa’s mobile network, monitoring key performance indicators plays an important role. Mobile network data includes such a huge amount of KPIs that monitoring them manually is not a plausible solution. That’s why Elisa is shifting to AI-powered and machine-learning-based anomaly detection, reducing the response time in our services and improving service quality.

Using AI and Machine Learning for a Better Mobile Network Experience

Agile software development is all about creating more value in less time, and automation is obviously a great tool for that. Our team – a handful of developers, a product owner, and a UX designer has now worked for some time to build a fully automated mobile application delivery pipeline. Our best weapons in the process have been GitHub Actions, the will to learn something new every day, and lots and lots of testing.

A Case Study: Building an Automated Mobile Application Delivery Pipeline

MCH 2022 is a hacker event in a series of Dutch hacker conclaves organised by volunteers. It was preceded by Still Hacking Anyway in 2017. Camps are organised every four years, but like everything else, MCH was also delayed due to the pandemic.
The camp was fully run by volunteers called angels. Angels were organised into 44 teams, who all had their own well-defined responsibilities, like waste management or providing campground power.
During the event the angels completed 893 shifts working for 6 837.6 hours – keeping the dishes clean and info tents staffed. This was required as there were 3 219 attendees of which approximately one third decided to help in running the camp.

May Contain Hackers 2022

Modern society is wholly dependent on semiconductors, but their production poses huge issues, related to both meeting the increased demand and also the shortage of components due to the Covid pandemic. More importantly, there are huge issues concerning CO2 emissions, energy consumption, and water use in their production. We have developed an AI/ML-based solution that helps in early detection of production failures through detecting and classifying spatial wafer profiles in semiconductor production. That is hopefully one of the key factors in making the industry more sustainable.

AI/ML Solutions Help Drive Sustainability in the Semiconductor Industry

When Elisa corporate customer site was due to a big renewal, for us developers, switching from AngularJS framework to React was one thing. But there was also the need to keep the site running properly during all of the development, with database migration, transferring the runtime environment to Kubernetes, and even more variables in the mix. This is the story of how we managed to keep all the balls in the air and learn some valuable lessons on the way.

Site Renewal as Juggling – 5 Lessons from Our Overhaul Process

Site Reliability Engineering, SRE, is a term that gets thrown around a lot nowadays. Elisa has a rich tale to tell how our SRE team came to be, and what we have learned of its importance and role during its existence. We also came up with five lessons regarding SRE and how it perhaps fits in an organisation.

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