Salesforce introduced a new Automation Everywhere Bundle to accelerate end-to-end workflow orchestration, automate across any system, and embed data and AI-driven workflows anywhere.
Gremlin announces new features that help make containerized infrastructure more resilient. 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.
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.