At incident.io, we deal with small incidents all the time—we auto-create them from PagerDuty on every new error, so we get several of these a day. As a team, we’ve mastered tackling these small incidents since we practice responding to them so often. However, like most companies, we’re less familiar with larger and more severe incidents—like the kind that affect our whole product, or a part of our infrastructure such as our database, or event handling.
We're excited to announce a new partnership between Cloud 66 and Google Cloud! This partnership provides our customers with a comprehensive and integrated cloud solution, combining the power and flexibility of Google Cloud with the ease of use and comprehensive tooling of Cloud 66.
In this blog post, we’ll demonstrate how to use Cribl Search for anomaly detection by finding statistical outliers in host CPU usage. By monitoring the “CPU Busy” metric, we can identify unusual spikes that may indicate malware penetration or high load/limiting conditions on customer-facing hosts. The best part? This simple but powerful analytic is easily adaptable to other metrics, making it a versatile tool for any data-driven organization.
