Buyer’s guide · 2026
Best AIOps for Hybrid and Multi-Cloud in 2026
Written by
Dilip Namdev
Published
July 2026
Reading time
8 min read
Hybrid and multi-cloud estates spread telemetry across clouds and on-prem, and few tools correlate it into one picture, let alone act on it. This is an honest shortlist of AIOps for hybrid and multi-cloud in 2026, ordered by breadth of correlation and deployment flexibility.
The shortlist
For hybrid and multi-cloud the deciding factors are whether a tool correlates across environments into one view and whether it can run where your data must live. We ordered by breadth and deployment flexibility.
Opstral
Best for: Cross-environment resolution, any deploymentCorrelates telemetry across clouds and on-prem via OpenTelemetry and resolves incidents through governed Action Tickets, and uniquely runs SaaS, on-premises or fully air-gapped, so it fits estates that cannot be all-SaaS.
Explore the platform →Datadog
Best for: Unified SaaS viewBroad SaaS observability across clouds with anomaly detection. Best for a unified view when all-SaaS is acceptable.
Read the comparison →Dynatrace
Best for: Automated topologyAutomatic topology and causal root cause across hybrid estates. Best for automated cross-environment root cause.
Read the comparison →LogicMonitor
Best for: Agentless breadthAgentless monitoring across hybrid infrastructure and networks. Best for broad, low-setup hybrid coverage.
Read the comparison →ServiceNow ITOM
Best for: CMDB-centricService mapping and Predictive AIOps tied to the CMDB across environments. Best when ServiceNow is the system of record.
Read the comparison →BigPanda
Best for: Tool-agnostic correlationCorrelates events across whatever tools each environment uses. Best for stitching together a heterogeneous estate.
Read the comparison →Frequently asked questions
What makes AIOps hard in multi-cloud?
Telemetry is spread across clouds and on-prem with different formats, so correlating it into one incident view is difficult. OpenTelemetry helps by standardising the data across environments.
Can AIOps run across on-prem and cloud together?
Yes. Opstral correlates across both and can be deployed SaaS, on-premises or air-gapped, which matters when some data cannot leave your environment.