Highlights from the Ripple Engineering team
As the Ripple Data Engineering team expanded it needed to programmatically enforce software engineering best practices. The team created a CI/CD pipeline that automatically validates and tests new features for data applications in Google Cloud Platform (GCP). ... Read More
In our last liquidity monitoring post, we introduced the concept of dislocation as a way to measure the price competitiveness of an XRP-fiat pair. In this post, we introduce the companion depth metric and combine both metrics into a data visualization for assessing liquidity performance. ... Read More
We wanted a way to tease apart these distinct effects, so we decoupled our analysis in terms of dislocation and depth of liquidity at exchanges. In this post, we introduce the dislocation metric. ... Read More
In part 1 of our series, we discussed the motivation and framework behind measuring the environmental cost of a payment transaction. We also talked about the methodology for credit card networks. In this post, we continue to cover the environmental impact model for Cryptocurrencies and paper money. ... Read More
Every time we get paid or buy something, we inevitably face the decision of how to pay. But it’s not always clear how those decisions affect the environment. One of this year’s most exciting initiatives at Ripple is our commitment to be carbon net-zero by 2030. ... Read More
