| Blog Info | Instawork Engineering |
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| Blog website | Link |
Dec. 13, 2024 » Instawork Engineering » [Archived Version]
First, There Was The MonolithInstawork’s main product is implemented as a monolithic codebase using the Django framework. This choice has served us well from the founding of the company, and it exemplifies our guiding principle of “Respecting the Craft”:Develop deep expertise with a limited set of tools, and pick technologies carefully to solve a particular problemBy sticking with a monolith, engineers at Instawork need to develop expertise with only one language (Python) and one set of convent…
Read MoreOct. 7, 2019 » Instawork Engineering » [Archived Version]
Using Django, Intercooler, and MercurePhoto by Marc-Olivier Jodoin on UnsplashIn a previous post, I described how Instawork doubled our web development productivity by abandoning React and embracing server-rendered pages enhanced with Intercooler.js. A standard React/Redux setup requires a lot of duplicated work; logic has to be written once on the server (as the source of truth), and a second time on the client (for local state management). By doing all UI rendering in our Django codebase, we …
Read MoreOct. 24, 2018 » Instawork Engineering » [Archived Version]
About a year ago, Instawork started experimenting with a new product called Gigs. Gigs lets restaurants and caterers fill on-demand shifts with pre-qualified dishwashers, cooks, and servers from Instawork’s network of professionals. Our MVP was little more than a Google form to request shifts. This worked OK in the early days, but as the product took off, it became clear we needed a web dashboard for managers to view and edit their gigs.Our existing web dashboard (a hiring app for full time job…
Read MoreApril 3, 2018 » Instawork Engineering » [Archived Version]
“Birds flying away” by elPadawan / CC BY SAOver the last few months, the Instawork engineering team has been moving our AWS infrastructure from manually deployed EC2 instances to an Elastic Container Service (ECS) cluster managed with CI/CD. The benefit is clear: as our engineering team and traffic grow, automated deployments and auto-scaling free us up from worrying about dev-ops and allow us to focus on product improvements.The core functionality of ECS works really well:We push a new Docker …
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