A global logistics provider operates a real-time event-driven platform on Google Cloud that processes both high-priority shipment rerouting events and low-priority operational telemetry. The business contract specifies a steep financial penalty if shipment rerouting requests take longer than seconds to complete, whereas operational telemetry can tolerate processing delays of up to minutes without incurring any business or financial impact. The engineering leadership team wants to establish a service level monitoring strategy that tightly couples operational alerting with actual business financial risk while avoiding unnecessary infrastructure over-provisioning and alert fatigue. Which strategy correctly aligns technical SLI measurement and SLO alerting with these business goals?
- Define the SLI specifically as the ratio of shipment rerouting events completed within 5 seconds to total shipment rerouting events measured at the ingress gateway. Set a monthly SLO of 99.9% for this specific pipeline, and configure multi-window, multi-burn-rate alerts based on error budget consumption speed.Cevap
- BDefine the SLO as the actual measured latency percentage of all combined system traffic (rerouting and telemetry events) meeting the 5-second target, and configure alerts to trigger whenever the rolling 5-minute average processing time exceeds 5 seconds.
- CDefine the SLI as worker pool CPU and memory utilization across all event-processing clusters, and configure high-priority paging alerts whenever any worker node exceeds 85% CPU utilization for more than 1 minute.
- DEstablish a uniform 99.999% SLA across both shipment rerouting and operational telemetry pipelines by deploying active-active multi-region infrastructure for all event ingestion layers.