Mobot does not process or share our log data with any third party. All Sumo Logic AI capabilities operate within industry-recognized security frameworks, which is a huge bonus for a software company like ours and helps us reduce the risk of data breaches.
We run observability for dozens of isolated production environments across AWS, OCI, and Azure with a small DevOps/SRE team, and Sumo Logic is the only reason that scales. Everything lands in one org: Kubernetes clusters on EKS and OKE, cloud audit logs, endpoint and identity telemetry, on-prem Windows infrastructure. Incident triage starts in one search box instead of a "which cluster is that log in?" hunt. The API-first design is the underrated part — we generate Terraform from the live org via the API and manage our entire collector estate as code, and onboarding a new client environment dropped from 5–6 weeks to about one. Scheduled Views keep our SLA reporting cheap, the AI anomaly monitors catch what static thresholds miss, and the Flex pricing model with tiered partitions finally let us match spend to data value.
Sumo Logic turns insights into action by enabling customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Log Analytics Platform.