Market Overview

Gremlin Announces Failure-as-a-Service for Docker, Featuring Multiple Attacks and Container Discovery

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  • Gremlin's failure injection platform allows companies to run
    controlled experiments on Docker Environments to make container-based
    infrastructures more reliable
  • The "multiple attacks" feature allows DevOps teams to better
    prepare for real-world disasters by simulating compounding issues,
    proactively saving companies time and money in outages
  • Container Discovery enables teams to automatically run experiments
    on Dockerized infrastructure as it expands, contracts, and shifts
    across hosts

Gremlin,
the world's first ‘Failure-as-a-Service' platform, today announces new
features that help make containerized infrastructure more resilient. In
December of 2017, Gremlin launched the first iteration of its platform
alongside a $7.5 Million Series A funding round, recreating common
failure states within hybrid cloud infrastructure. Now DevOps teams can
automatically identify Docker containers with Container Discovery,
as well as simulate real-world outages that often have a myriad of root
causes with Multiple Attacks, in order to build up the resiliency
of containerized environments in production.

"The concept of purposefully injecting failure into systems is still new
for many companies, but chaos engineering has been practiced at places
like Netflix and Amazon for over a decade," said Matthew Fornaciari, CTO
and Co-Founder of Gremlin. "We like to use the vaccine analogy:
injecting small amounts of harm can build immunity that proactively
avoids disasters. With today's updates to the Gremlin platform, DevOps
teams will be able to drastically improve the reliability of Docker in
production."

According to Docker
Adoption Research
based on a sample of 10,000 companies, Docker
market share has grown 30% with larger enterprise companies leading
adoption. By adding container discovery, engineers can now automate the
process of identifying and attacking these containers that are often
highly dynamic, ephemeral, and difficult to pinpoint at a given moment.
Add orchestrators like Kubernetes and Amazon ECS, and these containers
can shift from host to host without human knowledge or intervention,
making manual tracking nearly impossible.

"Chaos Engineering has been a big part of our migration to containerized
infrastructure," said Paul Osman, Senior Engineering Manager at Under
Armour. "We use Gremlin to test various failure scenarios and build
confidence in the resiliency of our microservices. The ability to target
containerized services with an easy-to-use UI has reduced the amount of
time it takes us to do fault injection significantly."

The ability to seamlessly run multiple attacks on containerized
infrastructure via Gremlin's intuitive user-interface (UI) also helps
companies simulate real-world failures that are often unpredictable and
multi-faceted. IHS Markit, in its comprehensive report The
Cost of Server, Application, and Network Downtime
, revealed that
downtime is costing North American organizations $700 billion per year.
Per-company figures provided by Gartner, a leading research and advisory
company and a member of the S&P 500, cite the average cost of downtime
at $300,000 per hour, or $5,600 per minute.

About Gremlin

Gremlin aims to make the internet more reliable by preventing costly and
reputation damaging outages. It empowers engineers to safely experiment
on complex systems to better understand weaknesses so they can build
more resilient software. Founded by CEO Kolton Andrus and CTO Matthew
Fornaciari in 2016, the company has raised $8.75 million in funding from
Index Ventures and Amplify Ventures. Existing customers include DTCC,
Expedia, Remind, Twilio, and Walmart. For more information visit www.gremlin.com.

Resources

Sign up for a free trial: www.gremlin.com/demo
Read
the blog post: www.gremlin.com/treating-containers-as-first-class-citizens/

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