“Multicloud chaos is fundamentally a data problem, and genAI’s edge is building a unified semantic layer over configs, logs, schemas, and lineage,” says Tobie Morgan Hitchcock, co-founder and CEO of SurrealDB. “Natural-language SRE copilots will infer topology, data gravity, compliance, and cost to propose placements, generate runbooks, and continuously remediate drift across clouds.”
Inconsistent and unstandardized observability data can lead to false alarms and misdiagnosis. But going back to development teams to adhere to data standards and naming conventions has a cost.
“Today’s multicloud operations overwhelm teams with noisy, disconnected alerts that bury the real issues,” says Kyle Campos, CPTO of CloudBolt. “GenAI changes that by interpreting complex, cross-cloud telemetry and surfacing only high-value incidents and optimization opportunities with meaningful context. Results include less alert fatigue, faster resolution, and a measurable boost in day-two operations impact—a critical step in how enterprises build, manage, and continuously optimize across clouds.”
