Live, Data-Driven Observability Paired with Chaos Engineering Practices Allow Users to Test Systems and Security Controls
SAN FRANCISCO and LONDON, March 4, 2019 /PRNewswire/ -- Humio, the only solution enabling live observability through fast, efficient and easily scalable log management, available for on-premises and cloud infrastructures, today 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 today 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 eBook, 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 eBook. "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."
Humio's live observability platform enables data aggregation, exploration, reporting and analysis from a range of sources ingesting massive volumes of log data instantly and is deployable on any infrastructure including both in the Cloud and On-Premises. The purpose-built, innovative data storage and in-memory search/query engine technologies provide developers, security teams and operations managers a cost-competitive log management and analysis solution, all while requiring significantly less hardware and engineering resources. For more information visit https://www.humio.com/ or follow @MeetHumio.
ChaosIQ help customers build and run reliable and resilient systems through Resilience and Chaos Engineering using the free and open source ChaosToolkit and Platform and the commercial ChaosIQ toolset. For more information go to https://chaosiq.io/ or join the Chaos Toolkit Slack workspace at https://join.chaostoolkit.org/.