Backups protect your data. Failover redirects your workload. FluidCloud captures your live cloud topology — every VPC, IAM role, route table, and dependency — as production-grade IaC, so you can recover regions, rebuild accounts, and move clouds in minutes, not months. We call that Cloud Cloning™.
Different clouds. Same dependency layer. Six major events across four providers. Each caused by failures in the infrastructure that everything else depends on.
Different incidents. Same layer.
On October 20, 2025, an internal subsystem monitoring AWS's network load balancers failed. DNS resolution broke for DynamoDB. Within an hour, more than a thousand services were degraded. Snapchat, Fortnite, Coinbase, Robinhood, McDonald's mobile ordering, the UK's HMRC tax website. For fifteen hours, the internet had a noticeably smaller surface area.
Four months earlier, Google Cloud had a similar event. Earlier in the year, Cloudflare did too. Azure has had several. On November 18, the European Supervisory Authorities designated AWS, Azure, and GCP as critical under DORA — formally moving cloud-provider risk onto the regulated firm's balance sheet.
The thing worth noticing isn't that any single provider failed. It's that every one of these failures was an infrastructure failure — control planes, DNS, identity. The workloads were fine. The places they ran weren't.
AWS authentication, DNS, and control-plane services depend on US-EAST-1 endpoints even for workloads nominally deployed elsewhere.
The industry is solving the wrong one.
Infrastructure topology, not workloads, determines recovery.
The industry has treated resilience as a workload property: replicate the database, snapshot the disk, fail over the application, document the runbook, and test the procedure once a year. That model made sense when the infrastructure underneath the workload was simple, slow-changing, and assumed to be there when recovery began.
A modern cloud estate is a living topology of VPCs, subnets, IAM roles, route tables, security groups, KMS keys, load balancers, peering links, transit gateways, service endpoints, secrets, parameter stores, policies, and configuration glue. When something fails, the workload is rarely the hardest object to recover. The difficult part is reconstructing the topology underneath it.
Backups restore data. Snapshots restore disks. Almost nothing restores topology. FluidCloud's position is that topology itself is the primary asset of cloud resilience. If it can be scanned, versioned, regenerated, and redeployed on demand, recovery becomes an operational capability rather than a theoretical plan.
Resilience is not a project. It is a continuous reconciliation problem. The estate changes every day, while most recovery plans remain frozen at the moment they were written. The gap between the plan and the live environment is where recovery risk accumulates.
Backups protect your data. Nothing protects your topology.
The bytes. A $30B industry of backup, replication, and continuous data protection covers the data that workloads produce.
The place the bytes land: the connective tissue under every workload. Backups restore bytes; almost nothing restores topology. This is FluidCloud.
Three steps, one portable graph. Same mechanism whether you're cloning for resilience, rebuilding after a compromise, or moving across clouds.
Point FluidCloud at any cloud account — agentless, no software to install. A 50,000-resource environment is fully mapped in ~15 seconds. Every VPC, IAM role, security group, secret, and dependency is visible from the outside, using only read-only credentials.
Every resource becomes a node, every dependency a typed edge, enriched with cost, tags, usage, and policy. The LIM (Large Infrastructure Model) reads this graph and emits 99%+ accurate, production-grade Terraform — reviewable, version-controllable, and portable. IaC is an output of the graph, not the mechanism.
Apply the graph anywhere — a different region, a different account, a different cloud, or back into the same place with corrections. Any prior state is regenerable on demand. Time Machine for Infrastructure runs against any versioned snapshot of the topology.
Same source topology, three target environments. Click each tier to see what changes. The interaction is the argument: one primitive, three classes of disaster it answers.
The old way is active-active — a second environment running 24/7, billed 24/7, to cover an event that may never come. Because the console, API, MCP, and CLI run at 100% feature parity, the scan is something you can trigger, not just click. Capture continuously, run nothing idle, and regenerate the topology the moment a signal fires.
Every resilience program is a list of scenarios it's meant to survive. Here's that list — and the single mechanism that answers each one.
Clone the topology into another region or cloud and redeploy in minutes — not a runbook.
Reconstitute the full topology in a clean account — IAM, segmentation, and policy intact.
Time Machine regenerates any prior known-good state of the topology, on demand.
A cross-cloud clone is the exit — signed, repeatable, and audit-ready on request.
Scan it on day one; clone into your sanctioned account structure by week two.
Clone into a sovereign region or local cloud with the topology preserved.
Five questions. Under two minutes. No scoring theater — a posture read on where you stand against the failure modes this page has described.
It measures capability, not intent — the gap between what your DR plan says will happen and what actually would if a production account went dark tonight.
Infrastructure and platform teams across fintech, regulated industry, and high-scale cloud operations are running Cloud Cloning™ in production.
“This isn't just a migration tool — the platform naturally supports rollback, inventory, and multi-cloud visibility use cases.”
“Our last cross-cloud migration took eleven months. The next one took a Tuesday afternoon.”
Forrester's 2026 resilience research distinguishes infrastructure resilience from workload resilience, validating the structural premise here.
The ESA designated AWS, Azure, and GCP as critical ICT providers, moving cross-cloud exit strategy from preference to regulatory requirement under Articles 28–31.
The Disaster Recovery Journal's 2026 trends research identifies multi-cloud fragmentation and demonstrated resilience as the two structural shifts reshaping DR.
The fastest way to understand what we do is to let us scan a single cloud account and see what comes back. The scan takes about fifteen seconds, runs read-only, and produces a topology graph you can keep — whether or not you ever talk to us again.