Your applications.
Our infrastructure team.
We migrate your production stack to Tabbify Cloud and run it with you. A named infrastructure engineer learns your system and stays responsible for the agreed deploy path, CPU runtime, tenant network, and incident coordination. Data-service and backup limits are documented separately.
- Migration led by an engineer
- Production compute included
- No Kubernetes team required
Apps
Git repositories running as isolated microVMs on your network.
Deploy path documented · backup limits recorded · incident route agreed
Your product should not depend on whoever remembers the server.
Tabbify is for teams whose software is already valuable enough to run properly, but not large enough to build an internal platform team. You are not buying another panel. You are transferring a defined part of operational responsibility.
Production knowledge lives in one person's head
The person who remembers the servers, secrets, deploy order, and recovery steps becomes the bottleneck for every release and incident.
A simple release crosses too many systems
Code, CI, a VPS panel, a database vendor, DNS, backups, and logs each have a different owner. Diagnosing one failure means reconstructing the whole chain.
Hiring DevOps is too early — until it is too late
A small team may not need a full-time platform engineer, but production still needs deliberate architecture, repeatable deployment, and someone accountable when it breaks.
A dashboard does not take responsibility
Self-service platforms make infrastructure easier to click, but your team still plans the migration, chooses the topology, operates databases, and owns the 2 a.m. decision.
Personal attention without creating another key-person risk.
The experience is closer to a good private bank than a hosting ticket queue: one person knows the account, while the institution preserves the process, evidence, and continuity behind them.
An engineer who knows your system
A named infrastructure engineer follows the migration, learns the dependencies and business constraints, and remains your primary technical contact after launch.
- One accountable owner for the operational picture
- Context carried from migration into daily operations
- Changes discussed with someone who understands the trade-offs
Backed by a platform and a team
Named support does not mean one-person dependency. Current infrastructure state, runbooks, and incident notes stay with Tabbify so another engineer can step in.
- Shared runbooks and current incident notes instead of private memory
- Response coverage and escalation agreed in the contract
- Automation handles repetition; engineers handle judgement
Production moves in controlled steps.
We do not ask you to recreate the system in a new dashboard. We inspect what is running, agree what Tabbify will own, and migrate one bounded workload with explicit stop/go criteria and a cutover contingency.
Architecture review
We map workloads, dependencies, data, domains, secrets, deployment flow, current failure points, and the people who know how production works today.
A migration with boundaries
You receive a target topology, responsibility matrix, cutover contingency, acceptance checks, and a fixed pilot scope before anything production-facing changes.
One real workload first
We deploy the application, connect its data and domain, verify health and logs, and prove the release path before expanding the estate.
Run, learn, expand
The named engineer stays with the environment. Together we refine runbooks, incident handling, documented backup limits, and which workload should move next.
- Application passes agreed health checks.
- Deployment follows a documented path.
- Data has documented backup limits.
- Ownership and escalation are explicit.
We manage the application system, not just the virtual machine.
A production problem rarely respects vendor boundaries. Tabbify keeps the runtime, network, early-access data resources, current deploy state, and human support in one operating context. Exact responsibilities are written into the pilot.
APIs, web applications, workers, and internal services deployed as isolated workloads.
compute · health · restartA repeatable route from GitHub or a manual remote submission to the running service, with asynchronous stage status and a health gate.
build · registry · healthPrivate service communication by default, with selected applications published through approved routes and custom domains.
private mesh · TLS · ingressPostgreSQL, key-value storage, and S3-compatible resources connected only after their current limits fit the application.
Postgres · KV · S3Current deploy status, health state, and bounded local application logs give the engineer a practical first diagnostic view.
deploy status · local logsRunbooks, documented backup limits, incident coordination, access changes, and an explicit path for escalation.
runbooks · boundaries · supportCurrent products and capabilities are listed here with their limitations on each detail page.
One operating view from source to running workload.
The useful path is concrete: submit a revision, follow the health-gated deploy, run a CPU Firecracker workload, keep internal traffic on the production relay, and inspect bounded local logs when the current state needs attention.
apartami-api
web API · main · tenant network
03:18:24 server listening on :808003:18:25 health check passedlocal bounded viewServers prepared for applications, not handed over empty.
You do not need to open another cloud account, assemble Kubernetes, or turn a blank VPS into a production platform. We supply compute that is already integrated with the Tabbify runtime and operate it as part of the service.
Isolated CPU workloads
Firecracker microVMs isolate web applications, APIs, workers, and scheduled jobs on prepared CPU compute.
Private by default
Services receive private identities first. Public ingress is added only for the routes the application actually exposes.
Build and registry path
The machine is connected to the deployment flow, image registry, health status, and bounded local application logs.
Early-access resources by need
PostgreSQL, KV, and object storage can be evaluated with explicit limits, or existing services can remain in place.
Customer-owned or private infrastructure may be scoped separately. The first offer is intentionally simpler: Tabbify provides the environment so the team can focus on the application and the pilot can produce a clear result.
The application and its data are planned together.
Tabbify can create PostgreSQL, key-value, and S3-compatible resources and connect them to the workload in early access. During the pilot we decide what should move, what should remain external, how credentials are handled, and which backup and recovery limitations must be recorded.
- PostgreSQLAn early-access relational resource with generated credentials and documented backup limits.
- Key-value storageAn early-access resource for supported application state and coordination use cases.
- S3-compatible storageAn early-access resource for files, exports, and application objects.
- Existing providersKeep a current database or external service when migration risk is lower than replacement value.
Software helps you operate. Tabbify helps operate with you.
The distinction is not whether a provider has containers, databases, or a private network. It is how much operational work remains with your team after the contract is signed.
Questions to settle before production moves.
Managed operations works only when ownership is explicit. These are the questions we expect to answer during the first review, not after an incident.
Is this bring your own cloud?
The current standard offer runs on Tabbify Cloud: we provide and operate the prepared compute. A private or customer-owned environment can be evaluated separately when there is a concrete security, contractual, or placement requirement.
Do we need Kubernetes or a platform engineer?
No. Your team does not need to bring a Kubernetes cluster or build a platform layer. Tabbify runs application workloads in isolated Firecracker microVMs and the assigned engineer handles the operating workflow with you.
Will Tabbify rewrite our application?
Not by default. The pilot covers the changes required to package, configure, connect, and deploy the agreed workload. Product development and major application remediation are scoped separately.
What happens to our existing database or external services?
We do not move data merely to make the diagram cleaner. The migration review decides whether the current early-access PostgreSQL, KV, or S3-compatible resource fits, or whether the existing provider is safer to keep. Backup and recovery limitations are documented in both cases.
Does named support mean one engineer is on call all the time?
No. You receive a named primary engineer who knows the environment, backed by shared runbooks, current incident notes, and the wider team. Coverage hours, response targets, and escalation are agreed explicitly for each production contract.
Can our engineers still use the platform directly?
Yes. The web console and selected REST, CLI, and MCP operations remain available to technical teams within their access scope. Coverage differs between interfaces; they support the relationship rather than replace it.
BOXSEALED APPLIANCE DIRECTION
Regional application infrastructure for workloads that need to stay local.
EDGE BOX is Tabbify's strategic direction for a sealed regional appliance operated with a qualified local infrastructure partner. It begins with concrete data-locality or regional deployment requirements, not an assumption that every workload belongs at the edge.
- Regional partner
- Facility, power, connectivity, physical operations, and local commercial presence.
- Tabbify
- Software direction, application platform, remote operating model, and customer relationship.