Architecture
How the Operational State Layer is built and kept current.
Tapstate Platform turns connector-supported source reads into consumer-ready current state through ordered transforms, materialization, and delivery.
It preserves the positions, checkpoints, mappings, and recovery context required to operate that data path over time.
Source systems
Connector-supported reads
Tapstate Platform
Positions · Checkpoints · Mappings · Recovery context
Supported targets
Structured sync · Event delivery
Operational State Layer
Consumer-ready current state maintained across the path
State lifecycle
How current state is established and then kept current.
Tapstate begins from a connector-supported starting mode, records the progress required to continue, and processes later source activity through the configured data path. Ordered transforms and target-specific delivery behavior are applied as the state evolves over time.
01
Establish a baseline
Begin from the connector-supported starting mode.
02
Record progress
Preserve source positions and checkpoints required to continue.
03
Continue with changes
Where supported, resume from the known position as new source activity arrives.
04
Apply pipeline rules
Process records through ordered transforms and mappings.
05
Materialize and deliver
Apply target-specific writes, deletes, and schema-change policies.
Materialization
How source activity becomes maintained operational state.
Tapstate applies ordered pipeline rules to source activity and updates the configured target representation. Stable keys, mappings, delete handling, and schema-change policy determine how each change affects maintained state.
Source Activity
- order updated
- payment posted
- shipment moved
- customer tier changed
Materialization Rules
- Stable keys
- Ordered mappings
- Update and delete behavior
- Schema-change policy
Maintained Order State
- order status
- payment state
- shipment position
- customer tier
Each change updates the maintained result according to the configured pipeline and target behavior.
Runtime responsibilities
Each stage advances data and preserves what is needed to continue.
A durable data path requires more than record processing. Each stage carries explicit configuration, progress, and failure context so the path can be validated, resumed, and diagnosed.
Capture
Data Responsibility
Read using the connector-supported mode.
Operating State
Source positions · Checkpoints
Ordered Transforms
Data Responsibility
Apply configured rules and mappings in sequence.
Operating State
Rule order · Mapping and output shape
Materialize
Data Responsibility
Update the configured target representation.
Operating State
Stable keys · Delete handling · Schema-change policy
Deliver
Data Responsibility
Write through supported target behavior.
Operating State
Target configuration · Retry context
Architecture boundaries
One operating path with explicit system boundaries.
Tapstate operates supported capture, transformation, and delivery while source authority, connector capabilities, target constraints, and adjacent infrastructure remain explicit.
Systems of record remain authoritative
Source systems continue to own local business truth and source-side behavior.
Capture behavior is connector-defined
Starting modes, change capture, positions, and recovery behavior depend on the connector.
Targets retain their constraints
Write modes, stable keys, deletes, schemas, and API limits remain target-specific.
Adjacent systems remain independent
Event backbones, analytical systems, network access, and credentials remain outside the maintained-state path.
Interruption and recovery
Resume from known progress, not from guesswork.
Tapstate retains the positions, checkpoints, status, and retry context needed to understand where a data path stopped and continue according to connector and target behavior.
01
Known progress
Source positions and checkpoints identify the last recorded point.
02
Diagnosable context
Status, validation results, and failure context help explain where execution stopped.
03
Connector-aware recovery
Resume or retry from a supported position or checkpoint while reapplying configured mappings and delivery behavior.
Tapstate preserves the context needed to recover; the exact resume and retry behavior follows the capabilities of the source connector and delivery target.
See how Tapstate fits your architecture.
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