Brand and business sites Case study

Cazizo: real-estate listings platform on AWS

CazizoClient: Cazizo

A listings platform for property sales, rentals, rooms and buildings: accounts for individuals, agents, brokers and management companies, listings, billing, maps, media on S3 and Lambda.

  • AWS Lambda
  • Node.js
  • MongoDB
  • Amazon S3
  • AngularJS
Client
Cazizo
Service
Web apps
Years
2018–2019
Stack
AWS Lambda, Node.js, MongoDB, Amazon S3 and 1 more
Platforms
Web

Overview

Cazizo set out to list property for sale and rent alongside rooms and whole buildings. We built the web application: registration and sign-in, account types for individuals, management companies, agents and brokers, adding and editing listings, billing, customised maps and image handling, with media on Amazon S3 and processing in Lambda behind a Node.js and Angular front end on MongoDB.

What we built

  1. Registration, sign-in and account types for individuals, agents, brokers and management companies
  2. Listings for sale, rent, rooms and buildings, with adding and editing
  3. Billing and map customisation
  4. Image handling on Amazon S3 with Lambda processing

Technology used

Technology named in the project records, by layer
LayerChoicePurpose
Back endNode.js, MongoDBAPI and data
MediaAmazon S3, AWS Lambdaimage storage and processing
Front endAngularJSlistings and accounts

What happened next

  • Delivered

    The work described above was delivered to the client.

  • Operational facts
    • Our work on this project spanned 2018–2019.

Could this be your project?

  • You need a web application with user accounts, admin tools and reporting. Website and web app development
  • You want a realistic written estimate for something of this kind, based on comparable work.
  • You work in brand and business sites and want a team that has built for it before. Brand and business sites work

Request similar work

Questions about this project

How long did this project take?

Our work on it ran from 2018 to 2019.

What technology was used?

AWS Lambda, Node.js, MongoDB, Amazon S3, AngularJS.

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Start a similar project

Tell us what you need. We come back with questions, what is realistic, an estimate and the closest work we have done.