LNUG #106 28th August 2024: An Aerial photo website, and Sniffing API requests

## Details

Another evening of node.js quality talks and general javascript buzz on Wednesday 28th of August.
Hosted by Cloudflare London .

SCHEDULE:
18:30 - 19.15 Welcome, drinks and food
19:15 - 19:45 First talk
19:45 - 19:55 - 10 min break
19:55 - 20:25 Second talk
20:25 - 21.00 Drinks/Networking

TALKS
How to build an aerial photos website with Node.js, OpenLayers, SQL Server, .. and an aeroplane!
Neil Miller
With around 8000 360 photos taken from my flights in my plane all across the south of the UK, it is an elegent demonstration of OpenLayers javascript technology compiled with Node.js, SQL Server to process the data, Pannellum to display the images, and OpenStreetMap to provide the background maps.

In this talk Neil will explain how it all works, including a run-through of the source code.

Neil Miller is a SQL Server Developer, and private pilot.

Sniffing API requests for fun a̶n̶d̶ p̶r̶o̶f̶i̶t̶
Oscar Pickerill
In this talk, I talk through my process of messing with the Bereal native app to post custom images by intercepting Firebase file upload requests. this talk is inspired by my blog post on the subject. Through the presentation, I reflect on security considerations for building native apps, especially security concerns associated with Firebase.

Oscar is a Senior fullstack Typescript dev, working for a women's fertility med-tech startup (Hertility). I also contract in Antarctica over the winter to help scientists with experiments.

HOST - Cloudflare
Cloudflare's mission is to build a safer, faster and more reliable internet experience for users worldwide.
With the workers platform you can deploy serverless code instantly across the globe to give it exceptional performance, reliability, and scale.

Interested in speaking at a future LNUG?
Add a talk proposal as an issue at https://github.com/lnug/speakers
Find out more:
• http://lnug.org/
• https://twitter.com/LNUGorg
• https://www.youtube.com/channel/UC-qjgj2TnRoI1ZmFFaN3FeQ
• https://github.com/lnug