Tuesday, May 7

Temporal Raises $18.75M Series A from Sequoia Capital & Others

SEATTLE, 16th Oct 2020: Maker of an open-source, stateful, microservices orchestration platform Temporal raises Series A funding of $18.75 million led by Sequoia Capital and was joined by Madrona Venture Group, along with existing investors Addition Ventures and Amplify Partners.

After this funding round the total amount raised by Temporal is $25.5 million.

The funds will be used to grow the existing open source community and develop a Temporal cloud offering. Users include Snap, Box, Coinbase, and Checkr who have realized increased developer productivity and application reliability after adopting Temporal.

Temporal was founded by Maxim Fateev, CEO, and Samar Abbas, CTO, who created and led the open source Cadence project at Uber. The success of Cadence led to widespread internal and external adoption which prompted Maxim and Samar to start a new company in order to productize the future of microservices orchestration.

Temporal provides a code-first open source runtime, which companies are using in multiple production scenarios to orchestrate microservices, provision resources, build data pipelines and other tasks. Code written with Temporal is executed directly, which enables developers to use the development, debugging, and testing processes they already know and love.

Box was one of the first adopters of Temporal and has since aggressively embraced the technology. Any time a file or folder is created, copied, modified, or shared, Temporal is involved behind the scenes to ensure the reliability of the operation. Temporal empowered Box developers to spend time writing the code that matters, instead of re-implementing reliability over and over again.

“The idea of writing workflows as code was one of the main things that drew me to Temporal,” said Steven Cipolla, Senior Staff Software Engineer, Box. “It’s a lot easier for our developers to use it. It’s the way that it should be. Trying to define workflows as JSON is gnarly writing workflows as code just makes sense.”