Articles

FaaS-like Spring microservices with autoscaling in Kubernetes

Tutorial shows how to create a basic application demonstrating an approach to writing simple "function-based microservices". It explains how to create such microservices, as well as deploy them, setup autoscaling, metrics gathering, and tracing. Learn more will bring you to ITNEXT website to read the full article.

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NFTs in trade finance - the next frontier or bad idea?

Supply chain is certainly today the most strategic asset of most large buyers. In this context, the supply chain finance platforms are becoming a must have across all industries. And it is just the beginning. Blockchain technology is about to revolutionize the market by unlocking the financing to deeper suppliers and the diversification of the funding sources to alternative money managers. An incredible opportunity for the millions of businesses who are facing a total of $1.5 gap in trade finance according to the World Economic Forum. Learn more will bring you to Global Trade Review website to read the full article.

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Production ready Jupyter Notebooks

Python Jupyter notebooks are fundamental part of Data Science prototyping. Deploying this code in efficient manner is troublesome and it often means copy-pasting the prototype into the final product. Later when the product requires new features the code is copied once again, which is human error prone. In Kyriba we wanted to have consistent code between development and production environment. This is now limited to scheduled jobs producing some artefacts like report or data to ingest. If you just want to regularly materialize output of Jupyter notebooks for the human users, you may find https://github.com/nteract/papermill tool interesting.

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Why A data mesh to power up our Active Liquidity Network

Kyriba's mission is to support corporate finance digitisation on all liquidity and cash related items. And Kyriba's strategy to deliver on that mission is to build the first and leading open platform for enterprise liquidity management. I'm managing Kyriba data engineering team and part of our work is to build the data platform required to enable this strategy. The role of this platform is to support our data engineers, internal teams, partners and ultimately our customers to get access to actionable insights based on their data. That's our context, we want to enable the Kyriba ecosystem to create more value from their data.

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