Meridian — One timeline across every cloud
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.
- Published MTTR reduction
- 75%
- Clouds, one timeline
- 3
- Blast radius, not just minutes
- $
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.
Incidents don't respect cloud boundaries
Native Agents Stop at the Cloud Boundary
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.
Blast Radius Is Measured in Minutes, Not Dollars
Most incident dashboards show duration and severity — not what the outage is actually costing per hour, which is the number leadership actually asks about.
Root Cause Hides in the Handoff
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.
Multiple Consoles, No Single Truth
On-call engineers juggle CloudWatch, Azure Monitor, and GCP Operations in three tabs during an incident — precious minutes lost just correlating timestamps.
From three consoles to one timeline
Correlates Telemetry Across All Three Clouds
Ingests logs, metrics, deployment events, and traces from AWS, Azure, and GCP simultaneously, building one timeline instead of three.
Auto-Diagnoses Root Cause
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.
Quantifies Blast Radius in Dollars
Every incident is scored against your actual cost model — the same FinOps data model behind the Varcio platform — so severity shows up as a dollar figure, not just a duration.
One Timeline for the Postmortem
Generates a unified incident timeline spanning every cloud involved, ready for the retro instead of stitched together from three separate exports.
Built for teams who live across clouds
SRE & Platform Engineering Leads
Running production across more than one cloud and tired of manually correlating incidents between consoles during an outage.
VP Engineering / CTO
Want incident cost reported in dollars to the board, not just MTTR in minutes.
Multi-Cloud Migration Teams
Mid-migration, running workloads split across two clouds, where cross-cloud incidents are the most common and least understood failure mode.
What are your incidents really costing you?
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.
Where the 75% figure comes from
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.
- MTTR Reduction
- 75%
- Faster Investigation
- 80%
- Root Cause Accuracy
- 94%
We already run multi-cloud operations
We Already Run Managed Operations Across All Three Clouds
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.
The Same Cost Model as the Varcio Platform
Meridian's dollar-denominated blast-radius scoring reuses the multi-cloud cost engine already live in production inside the Varcio platform.
Deep in Every Native Tool Already
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.
Frequently asked questions
Meridian is in early access. The incident cost calculator on this page uses real, published MTTR reduction figures from AWS DevOps Agent and Azure SRE Agent. The cross-cloud correlation engine is being built with our first multi-cloud design partners.
You should — for single-cloud incidents, they're excellent and we recommend using them. Meridian exists specifically for the gap they don't cover: incidents and dependencies that cross cloud boundaries, where a single-cloud agent's investigation stops at the edge of its own platform.
No. Meridian is designed to sit alongside CloudWatch, Azure Monitor, PagerDuty, and ServiceNow — correlating what they already report, not replacing them.
A review of your current multi-cloud architecture and incident history, a scoped pilot correlating your highest-risk cross-cloud dependency, and a cost model tied to your actual infrastructure spend.
More from Varcio Labs
All Labs agentsRunning production across more than one cloud?
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