A paved production path
Give teams a repeatable workflow without exposing cluster-specific implementation details.
Solution · Platform engineering
Make Flink self-service.Keep production controlled.
Encode Flink expertise and infrastructure standards in one paved path for every data team.
The platform mandate
Standardize delivery without limiting workloads.
Realfuture connects authoring to operations inside shared guardrails while keeping workloads and infrastructure portable.
Multi-cluster control
Operate YARN, Kubernetes, and dedicated runtimes through one control layer.
Governance in the workflow
Keep access, audit, environment policies, and operational history in the workflow.
Leverage scarce expertise
Encode Flink standards once instead of routing every team through platform engineers.
Responsibility model
Separate platform concerns from workload concerns.
Data teams own workload intent. Platform teams own standards, runtimes, and production control. Realfuture connects them.
Lifecycle areaData or application teamPlatform team with Realfuture
DevelopBusiness logic, SQL, JAR, or PyFlinkCatalogs, reusable resources, and a validation path
DeployRelease intent and workload configurationEnvironment policies, target placement, and controlled promotion
OperateWorkload outcomes and application contextFleet visibility, runtime standards, alerts, and recovery
GovernAppropriate access and change requestsRBAC, audit, ownership, and production conventions
Adoption path
Start where platform friction is highest.
Prove the model with one representative team and workload, then scale what works.
Identify repeated work
Map handoffs, scripts, runtime differences, and recurring incidents.
Define the paved path
Agree on team boundaries, lifecycle standards, and required controls.
Run a workload
Validate delivery, placement, visibility, and recovery end-to-end.
Extend intentionally
Onboard more workloads and clusters with the proven operating model.
Turn your Flink process into a platform product.
Define the paved path, ownership boundaries, and first workload to validate.