Written by Roland Kender At Sixfold we provide real-time visibility for supply chains (see sixfold.com for more). To do that, we ingest quite a lot of data from different sources. Two biggest categories of the data that we are dealing with are transport data and telemetry data. The challenges that…

Written by Tõnis Pool We’ve mentioned in previous posts that at the heart of Sixfold lives Kafka, which our services use to communicate with each other. Each of our services also has its own Postgres database. At the very abstract level every service does the following: Read a message from…

Written by Henri Normak Note: This is a modified version of an internal document we’ve had in place at Sixfold since April 2020. In our previous post on code reviews, we discussed aspects of code that help ensure its health. In this post, we’ll go further into the process of…

Written by Taivo Käsper Sixfold makes millions of ETA predictions daily (see graph above). We described the training of our arrival time prediction model (ML ETA) in our previous Machine Learning blog post. Here we will explain how we deploy trained model to the production and how we scale it. …

Written by Henri Normak Note: This is a modified version of an internal document we’ve had in place at Sixfold since April 2020. This is the first post of two about the code review process at Sixfold. In this post we’ll focus on the aspects of ensuring code health via…

Written by Dmitri Gabbasov In this post we are going to explore the reasons why we have chosen TypeScript as our main development language at Sixfold and why we are happy with it. Thank JavaScript The seeming omnipresence and the undeniable popularity of TypeScript no doubt owe it to the pre-existing popularity…

This is the first post in our series about machine learning Written by Taivo Käsper, Anton Potapchuk, and Maksim Mišin If asked to describe Sixfold in one sentence, a reasonable answer would be: “We estimate time of arrival for millions of road freight shipments.” The estimated time of arrival (ETA)…

Written by Henri Normak In our previous posts, we’ve talked about improving performance by streamlining processing and by minimising the overhead in libraries such as node-postgres, this time, let’s dive deeper into how we’ve reduced our database queries (both read as well as writes) to a minimum. DataLoaders? The original concept…

Written by Jaan Oras Last time we wrote about how we scaled our services 10x over the course of 30 days. In this post, we’ll dive deeper into one of the more interesting technical improvements we achieved — optimising the way dates/timestamps are handled between the database and application layers. …