Correlates incidents across AWS, Azure, and Google Cloud simultaneously and scores blast radius in real dollars — picking up exactly where single-cloud native agents stop at the platform boundary.
Meridian is in active design with early-access partners running true multi-cloud estates. The savings model below is grounded in published results from AWS DevOps Agent and Azure SRE Agent — the single-cloud tools Meridian correlates across.
AWS DevOps Agent and Azure SRE Agent both reached general availability in 2026 — but each only sees its own cloud. An incident spanning AWS and Azure has no single agent watching the whole picture.
Most incident dashboards show duration and severity — not what the outage is actually costing per hour, which is the number leadership actually asks about.
When a failure crosses a cloud boundary — a GCP data pipeline feeding an AWS-hosted API, for instance — the root cause investigation stalls exactly where the native tools stop looking.
On-call engineers juggle CloudWatch, Azure Monitor, and GCP Operations in three tabs during an incident — precious minutes lost just correlating timestamps.
Ingests logs, metrics, deployment events, and traces from AWS, Azure, and GCP simultaneously, building one timeline instead of three.
Applies the same event-source triggers as native cloud agents (CloudWatch alarms, PagerDuty, ServiceNow) but keeps investigating across the cloud boundary where single-cloud tools stop.
Every incident is scored against your actual cost model — the same FinOps data model behind FinOps Co-Pilot — so severity shows up as a dollar figure, not just a duration.
Generates a unified incident timeline spanning every cloud involved, ready for the retro instead of stitched together from three separate exports.
Running production across more than one cloud and tired of manually correlating incidents between consoles during an outage.
Want incident cost reported in dollars to the board, not just MTTR in minutes.
Mid-migration, running workloads split across two clouds, where cross-cloud incidents are the most common and least understood failure mode.
Uses the published 75% MTTR reduction figure from AWS DevOps Agent / Azure SRE Agent.
Illustrative estimate applying the published 75% MTTR reduction figure from AWS DevOps Agent / Azure SRE Agent to your inputs. Actual results depend on your architecture, on-call maturity, and incident types — this is a planning estimate, not a guarantee.
AWS DevOps Agent and Azure SRE Agent both reached general availability in March 2026. Published results report up to 75% reduction in mean time to resolution (MTTR) and 80% less investigation time, with real customers citing 20-30 minute investigations versus 1-2 hours manually. Meridian applies this same class of automated investigation across cloud boundaries, where single-cloud agents stop.
Our Managed Cloud Operations practice provides 24/7 monitoring and incident response across AWS, Azure, and GCP today — Meridian formalizes that cross-cloud correlation into a product.
Meridian's dollar-denominated blast-radius scoring reuses the multi-cloud cost engine already live in production inside FinOps Co-Pilot.
Our DevOps practice is fluent in CloudWatch, Azure Monitor, and GCP Operations Suite — Meridian is built by people who use these tools daily, not around them.
Become an early access partner and let's correlate your highest-risk cross-cloud dependency first.