Daimler Truck utilizes an advanced observability stack to manage its tb.lx service, which processes high-volume telemetry data from connected vehicles in real time. This stack is built on Grafana, Grafana Loki, Prometheus, and Pyrra, and is designed to maintain high availability and low latency. Principal Engineer Adrien Bestel highlighted their approach in a GrafanaCON 2023 talk, explaining the four-step process his team used to define, implement, and monitor service level objectives (SLOs). These steps involve building a vendor-neutral observability stack with open-source tools, defining SLOs and error budgets for key performance indicators like availability and latency, implementing these SLOs using Pyrra and Kubernetes, and safeguarding them through continuous monitoring and testing using Grafana dashboards. This approach helps the team maintain clear baselines for performance improvement, ensuring that SLOs are met and error budgets are managed effectively, which ultimately contributes to customer success.