Chaos engineering involves stress-testing systems by simulating real-world adversities, such as cyberattacks and internal failures. By creating controlled chaos, organizations hope to prepare their infrastructure for unforeseen incidents and minimize potential downtime. Observing how a system withstands these disturbances can pinpoint hidden vulnerabilities that traditional testing might overlook. Is this a cutting-edge methodology organizations need to bolster their defenses against ever-evolving cyber threats, or is it a dangerous distraction?
Although chaos engineering offers potential insights into system robustness, enterprises must scrutinize its demands on resources, the risks it introduces, and its alignment with broader strategic goals. Understanding these factors is crucial to deciding whether chaos engineering should be a focal area or a supportive tool within an enterprise’s technological strategy. Each enterprise must determine how closely to follow this technological evolution and how long to wait for their technology provider to offer solutions.
The high cost of oops
In their most recent quarterly analysis of cybersecurity threats, cloud computing security company Cloudflare reported a 65% increase in distributed denial of service (DDoS) attacks in the third quarter of 2023 compared to the previous quarter. According to Cloudflare, the second quarter of 2024 had four million DDoS attacks.