Why and how we use Segment across our portfolio companies, lessons learned and a few tips on how to improve data collection accuracy
This is the second edit of my first attempt of a timelapse video of Tower Bridge, apparently taken exactly one year ago.
Regardless of what stage your product is at, it is common to use multiple tools to understand how users interact with your product. Thankfully, there are analytics tools for almost every use case, platform, discipline and business metric that you want to track. These tools complement each other by offering different analysis capabilities, yet their features often overlap. We can use these tools to surface data inconsistencies by comparing similar reports across the different analytics tools.
Why do people leave a website? There could be lots of reasons, such as not being able to find what they’re looking for or realising they’ve landed on the wrong website. But there’s a good chance users leaving your website because if feels very slow to load.
Building a product is hard. Building a product that scales with the team and the constantly evolving business needs is even harder. As your product grows, you will need to scale up your team and introduce some processes in order to make developing, testing, releasing and maintaining your product fast, efficient, and more enjoyable.
Lightning talk about distributed workflows in Python using Celery at Python Dojo London
Best practices on applying SCRUM to distributed teams.
An introduction to Amazon Web Services for developers. Best practices for development/deployment on multi server setups.
sport.gr server architecture, availability & scaling strategy