Building proactive observability @ Revyl. Automatically catch and triage bugs before they reach production. Did consulting for real estate private equity after graduation. Studied computer science + business @ UBC
building proactive observability - catching bugs before they reach production @ Revyl.
ex Uber AI - dragoncrawl team (mobile testing using LLM).
UBC cs + stat
Finding the root cause of a bug can be extremely time-consuming
Bugs in production cause revenue loss and erode customer trust
Testing practices are fragmented across web and mobile
Solution:
Revyl was developed to simplify your QA pipeline. Provide us with your user flows, and we'll handle the rest.
At its core, Revyl uses resilient end-to-end tests connected to telemetry traces to enable companies to catch and triage bugs before they reach production. Revyl supports tests across Web, iOS and Android.
This approach:
Catches bugs across your whole tech stack
Prevents bugs from reaching production
Accelerates triaging by pinpointing UI and/or microservice failures
Cuts test maintenance to near zero
Why Us?:
@Anam Hira: Built DragonCrawl, an LLM-based mobile testing framework, while working as a machine learning engineer at Uber. Dragoncrawl saved $25M in 4 months, detecting 11 P0 incidents.
@Landseer Enga: Experienced in growth-stage startups (PM/Engineer), did some web scraping for PE firms.