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OI Platform Engineering Assessment
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oi-platform-engineering-assessment.md

OI Platform Engineering Assessment

Welcome to the Operative Intelligence Platform Engineering Assessment. We thank you in advance for taking the time to complete this.

Introduction

What is this assessment?

This assessment will introduce a hypothetical scenario to you, your task is to read through the scenario below and start thinking about how you would engineer a solution to fit. You don't need to present anything to us, we will schedule a technical interview with you to discuss your approach and thinking.

What to expect from the technical interview

The technical interview will be a video call with a couple of our engineers here at OI. We will ask you a few questions related to the scenario below to help better understand your thinking and approach in the following topics:

  • Networking
  • Security
  • Monitoring and Observability
  • Site Reliability
  • Scalability

During the interview we encourage you to dive into technical details, explain your thought process and consider trade-offs.

Scenario

Intelligent Operations Pty Ltd is launching a new product called Eye-Q. It is a real time crowd intelligence platform used to calculate wait times in crowded events such as large sporting venues, concerts, music festivals and theme parks (similar to https://www.thewaittimes.com/).

The platform consists of:

  • A video capture service which consumes video streams for thousands of IP camera's
  • A crowd detection service which uses a pre-trained ML model to detect crowd sizes in realtime from a video stream
  • A data ingestion and preprocessing service which collects data from the crowd detection service then processes the data for analysis
  • A cluster of Postgres databases which stores historical and real-time data for live and future analysis
  • An API service responsible for reporting and analysis. This service generates reports on crowd movements and incidents, it also allows for in-depth analysis of historical data
  • A reporting dashboard that provides an interface for data visualisation and viewing of live video streams.
  • A model training service used by data scientists and ML engineers to train models for the crowd detection service

Some important things to consider:

  • Each cluster of IP camera's exist in separated co-located networks
  • While some processing may occur on a customer premise it is expected that all the data eventually will end up in Intelligent Operations environment
  • Privacy is a big concern as Intelligent Operations aims to remain compliant and secure.
  • Data sovereignty laws may come into play when processing data for government clients. This means that their data cannot leave their respective region.
  • Intelligent Operations is operating at very strict SLA's, with an expectancy of 99.99% uptime across all global regions
  • When developing for the platform, it is important for the developers at Intelligent Operations to move at a fast, yet stable pace
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