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Layer

Instant staging servers for every code change

Traditional CI approaches need you to mix Dockerfiles with a big yaml blob to define the actual pipeline. Layer turns this pattern on its head - we extended the Dockerfile to make it specifically for testing: - It's only one file, so you can write CI configurations without looking at docs - Our runners are fully featured VMs, and we take memory snapshots instead of just the filesystem so you can restore a configured Redis instance from a previous pipeline. Benefits: - We're a developer laptop in the cloud: your tech stack can come in any shape - Get a unique link to share the frontend changes for every commit - we'll spin up the environment whenever it's requested, so you don't have to pay to keep them up - CI runs significantly faster because you can set up your environment (e.g., `docker-compose up -d`) once, and rewind to that snapshot for every following pipeline. - It's easier to onboard team members because they just have to read the single Layerfile to understand the whole CI process (incl. how to install everything) - Debugging is easier because you can enter a web console into the last snapshot up to a week after a test passed or failed

Layer
Founded2019
Team Size3
LocationToronto, Canada

Colin Chartier

Former CTO @ https://parsehub.com Now Co-founder & CEO @ https://layerci.com Technical founder, full-stack, system design, & devops Triple major (CS/stats/math) from University of Toronto

Colin Chartier
Layer

Lyn Chen

Former CEO of a food tech company that sold products to Marriott Hotels, WeWork. Now Co-founder & COO @ https://layerci.com Worked in growth and strategy roles from startups all the way to tech giants, one of which she saved from shutting down. Studied Econ / CS / Product Management at Queen’s University

Lyn Chen
Layer

Layer is hiring for these roles

Full Stack Software DeveloperRemote (Canada only) / Remote