Circonus is the full-stack monitoring and analytics platform built for the modern-day enterprise. Brands like HBO, Google Webpass and Redfin trust Circonus for crystal-clear, real-time observability. Circonus offers customers the flexibility and familiarity they love about open source tools combined with the benefits of a sophisticated, consolidated platform at an affordable price.
Circonus Passport™ is the industry’s first dynamic telemetry management solution. It enables organizations to dramatically reduce observability costs and maximize the ROI of their existing observability investments. With Passport, organizations can dynamically and automatically adapt their telemetry collection strategies based on signals and alerts from their IT environments – enabling them to dramatically cut observability costs and improve mean time to resolution. Observability solutions rely on telemetry agents to collect and send data. However, managing the configuration deployments for telemetry agents can be an inflexible and error prone process, so teams are reluctant to change them once deployed. Telemetry pipelines become effectively static, which leads to out-of-date collection strategies and vendor lock-in. It also forces companies to make suboptimal trade offs – they either collect more telemetry data than is needed, which is punitively expensive, or compromise on what data they send, which leads to visibility gaps. Passport delivers precision visibility by sending only the data that is needed and only when it is needed. Passport’s patent-pending technology converts static agents into dynamic agents through the use of lightweight agent managers that communicate with the Passport control plane. Agent managers continually poll for updated configurations and will download and trigger a reload of the supported agent when one is present. Passport uses an innovative rules engine to receive “signals” (such as high CPU utilization) from an observability platform and then takes action based on the rules that have been established. That could mean changing the frequency and granularity of data being collected, or it could also mean initiating an action in other platforms such as a ticketing system, workflow engine, iPaaS, or even another observability platform. Rules and agent configurations are built using a low-code / no-code SaaS interface with point and click ease, lifting the burden on developers to be constantly making configuration changes.