SAP and HANA hosting
Every HANA gigabyte. Every takeover, checked.
HANA memory per host, a takeover check for every replicated system, placement by profile, the S/4HANA wave and a four-week pilot.
Solutions
One ledger.Every kind of hosting.
SAP and HANA hosting, private cloud, managed databases, GPU and AI hosting — and recovery across all of them. Each solution follows the same pattern: read-only sources, a check before every promise, a place for the next customer and a home for every team.
The screens show the running product on an illustrative example estate — not a customer.
Four markets
Where capacity is a promise.
Every one of these businesses sells something it must still have on the day a customer needs it — HANA memory, a cluster through a migration, a standby, a GPU with power and cooling. SAP and HANA hosting comes first; the other three are new in version 0.26.
Private cloud
Every wave lands. Every host can be patched.
Migration and onboarding waves week by week, maintenance one host at a time, the platform comparison and VM packages for sales.
Database hosting
Every standby, ready. Every processor, licensed.
The takeover check per replication group, licence positions from your own rules and placement with a standby partner.
GPU and AI hosting
Every GPU, sold once. Every pod, powered and cooled.
A fit that knows models, memory and slices, pods against power, feeds and liquid cooling, and GPU use per customer.
The same pattern, every time.
What made the SAP solution work carries over: one ledger, the same honest unknowns and the same rights — whatever a team sells.
Read-only, from what you run.
Collectors and connectors read — from the SAP Host Agent to vCenter, database inventories and the DCGM exporter. Nothing writes to a customer platform.
A check before every promise.
Takeover, maintenance, pod failure, a wave's overlap: fits, fits after stopping, does not fit — or unknown when evidence is missing or old, never a guessed green.
A place for the next customer.
Placement by profile with a partner for the replica or standby, and a runway per site and quarter from the demand you plan.
A home for every team.
Thirty workspaces — each with its question, its four figures, only its findings and AI that explains every number.
Customer names stay private.
Findings never name a customer; names are visible only to planners and admins, and a hosted AI engine sees them only as pseudonyms.
Counts, not prices.
Billing bases in weighted HANA hosts, licensed processors or GPU-hours — for your own billing, never a price list.
New in 0.26 · Across every solution
Can all customers recover together?
A failed site sends everyone to the same recovery destination at once. Rymvard checks the commitments together — and whether the data can come back within each recovery time.
Recover together.
When a site fails, workload commitments in vCPU, RAM, storage and GPUs and the SAP takeovers that share a destination are evaluated together — with the dimension that binds for each commitment.
Within the RTO — as measured.
Restore throughput measured in your recovery tests sets each commitment's data against its RTO. A per-customer evidence export carries the locations a DORA register of information asks for; each customer sees only their own.
Recovery Service
Can all customers recover together — and can we prove it?
- Commitments not covered in worst site failure
- RTOs at risk from measured throughput
- Oldest last recovery test
- Customers with complete recovery evidence
Start where the pressure is.
SAP, private cloud, databases or GPUs — one estate, read-only, and figures from your own data within weeks.