Failure-as-a-Service (FaaS) platform provider
Gremlin has received $18 million as part of its latest Series B Funding. Gremlin, which has headquarters in San Jose, California, United States, was established in 2017. The company provides “engineers with the framework to safely, securely, and easily simulate real outages with an ever-growing library of attacks”. Founded by former employees of Amazon and Netflix, it has a mission to enable companies to avoiding outages and downtime and ultimately save money. The Series B funding was spearheaded by Menlo Park, California-based equity and private capital company Redpoint Ventures. Gremlin has raised $23.75 million in funding to date.
Gremlin’s latest funding comes alongside its launch of Application Level Fault Injection (ALFI), a new service that allows developers to establish full-stack resiliency in applications by safely inducing failure, “including within serverless environments”. With serverless adoption growing and ALFI generally more available, businesses are now more able to run chaos experiments on serverless environments that are not hosted or containerized.
“The concept of purposefully injecting harm into systems is still new for many companies, but chaos engineering has been practiced at places like Amazon and Netflix for over a decade,” explained Gremlin’s co-founder and CEO, Kolton Andrus. “We like to use the analogy of a flu shot, injecting small amounts of harm to build an immunity, in order to proactively avoid disasters. Now with ALFI, users will be able to bring this practice to serverless environments, and have much greater control within their applications.”
“With ALFI one of the first problems we wanted to address was improving the reliability and understanding of serverless providers like AWS Lambda and Azure Functions,” added Gremlin’s other co-founder and CTO, Matthew Fornaciari. “It’s a tough problem to solve because the host is abstracted and it’s a very new technology – but now we can run attacks at the application level, and with a level of precision that isn’t possible at the infrastructure level. We are giving them a scalpel to very specifically target particular communications between different systems and services.”
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