Live, Data-Driven Observability Paired with Chaos Engineering Practices Allow Users to Test Systems and Security Controls
Humio, announced users can now test and observe how well their systems and security controls work, in real-time, by bringing observability to chaos engineering. Live observability is a key characteristic of any successful system. As described in Russ Miles’s Chaos Engineering Observability eBook, published by O’Reilly Media, the fundamental process of running chaos experiments is built around the live observability of the engineered chaos testing. Humio’s data-driven observability across all systems enables users to detect, investigate and respond instantly.
“In my e-book, I show how logging systems such as Humio can be integrated from the free and open source Chaos Toolkit to build the foundations of chaos observability, but that’s just the starting point,” said Russ Miles, CEO of ChaosIQ and author of Chaos Engineering Observability e-book. “Observability is a key characteristic of any successful system. As systems evolve increasingly rapidly, they become more complex and more susceptible to failure, vulnerabilities, and security threats. Observability and Chaos Engineering go hand-in-hand. As you explore chaos engineering, the observability of your system will have to improve to enable you to explore and ask important questions about improvements to running your system, any vulnerabilities and potentially existing threats.”
The combination of incorporating chaos experiments into centralized logging followed by execution traces to the distributed tracing picture are two foundation steps to making chaos engineering observable. With observability added to a user’s chaos engineering experiment, they can contribute to the observability picture.
“Chaos engineering allows developers, security teams and operations managers to refine, recalibrate, and navigate the understanding of systems through intentional and careful experimentation in the form of failure and threat injection. The increases in understanding lead to a better experience for their customers and users and improved business outcomes,” said Geeta Schmidt, Humio’s CEO. “In order to confidently execute a chaos experiment, observability is required to detect when the system is normal and how it deviates from that normal state as the experiment is executed. Those experiments, when being executed, need to actively contribute to that observability as well and they need to be able to achieve this all live, in real-time. Our goal is to bring observability into chaos engineering systems. By continuously providing live, data-driven observability across the environment, users can test how well their systems and security controls work – instantly.”
