chaosmonkey VS SimianArmy

Never saw this communicated by Google, but Netflix is the company I have in mind for doing that: https://github.com/Netflix/chaosmonkey

In 2010 Netflix developed a tool called "Chaos Monkey", whose goal was to randomly take down compute services (such as virtual machines or containers), part of the Netflix production environment, and test the impact on the overall Netflix service experience. In 2011 Netflix released a toolset called "The Simian Army", which added more capabilities to the Chaos Monkey, from reliability, security, and resiliency (i.e., Chaos Kong which simulates an entire AWS region going down). In 2012, Chaos Monkey became an open-source project (under Apache 2.0 license). In 2016, a company called Gremlin released the first "Failure-as-a-Service" platform. In 2017, the LitmusChaos project was announced, which provides chaos jobs in Kubernetes. In 2019, Alibaba Cloud announced ChaosBlade, an open-source Chaos Engineering tool. In 2020, Chaos Mesh 1.0 was announced as generally available, an open-source cloud-native chaos engineering platform. In 2021, AWS announced the general availability of AWS Fault Injection Simulator, a fully managed service to run controlled experiments.

Have a look at it https://github.com/Netflix/chaosmonkey

It’s kinda like Chaos Monkey except Elon is the chaos

they really did lmao

Thanks, that was an interesting read. Chaos Monkey

In 2010 Netflix developed a tool called "Chaos Monkey", whose goal was to randomly take down compute services (such as virtual machines or containers), part of the Netflix production environment, and test the impact on the overall Netflix service experience. In 2011 Netflix released a toolset called "The Simian Army", which added more capabilities to the Chaos Monkey, from reliability, security, and resiliency (i.e., Chaos Kong which simulates an entire AWS region going down). In 2012, Chaos Monkey became an open-source project (under Apache 2.0 license). In 2016, a company called Gremlin released the first "Failure-as-a-Service" platform. In 2017, the LitmusChaos project was announced, which provides chaos jobs in Kubernetes. In 2019, Alibaba Cloud announced ChaosBlade, an open-source Chaos Engineering tool. In 2020, Chaos Mesh 1.0 was announced as generally available, an open-source cloud-native chaos engineering platform. In 2021, AWS announced the general availability of AWS Fault Injection Simulator, a fully managed service to run controlled experiments.

Advanced: set up Hadoop cluster and Latency Monkey https://github.com/Netflix/SimianArmy/wiki/The-Chaos-Monkey-Army to learn about distributed systems resilience

Maybe companies need some kind of "Chaos Monkey" system [0] in place for regular employees. Not in "terminating" random employee's contracts, but a culture were regular, maybe even some kind of random transferals onto other projects, or onto internal work regularly happens.

Everybody knows this and everybody should be prepared to a situation that tomorrow they are not working on the same problem they work on today. How would they structure work? How would they share knowledge? What can the organization to to ensure there always are fallbacks to everybody? At least fallbacks that if not perform at 100% but still on 80 - 90%.

Sadly in my org this would not work of the get go, as we often have personal access tokens to our clients' systems. This is sometimes even a contractual obligation as for specific clients we need to be vetted. But even in these cases we could be reassigned/reshuffled towards a slightly different proposition or at least be reassigned to an internal topic for a few days - just like we would not be able to work if we fell ill.

[0]: https://github.com/Netflix/SimianArmy/wiki/Chaos-Monkey

Maybe. Could also just be a chaos monkey expanding its cage.