serverless-data-mesh 1.0.0

Federated data mesh framework for proof-gated, exactly-once Iceberg data product publication on AWS Lambda.

Serverless Data Mesh

Federated data mesh lakehouse publication on AWS Lambda - with cryptographic proof, not just green job logs.

An open Python framework for domain-oriented, federated data mesh teams on AWS. Implements data as a product, self-serve write infrastructure, and federated computational governance at the Iceberg lakehouse layer.

• Producer domains publish governed data products
• Steward notaries enforce mesh contracts with VRP proofs
• Publisher zones expose consumer-ready Iceberg data products

Introduces the Vaquar Pattern (PVDM): Physical → Verify → Durable → Metadata. Invariant: commit_metadata ⟹ VRP = PASS.

Install

pip install serverless-data-mesh
serverless-data-mesh demo    # <60s local PVDM demo, no AWS
serverless-data-mesh new --template medallion --output my-mesh
serverless-data-mesh apply --contract my-mesh/mesh.yaml --output my-mesh/generated
pip install "serverless-data-mesh[rules]"   # + SparkRules on Lambda
pip install "serverless-data-mesh[spark]"   # + PySpark + SparkRules
pip install "serverless-data-mesh[all]"     # rules + spark
pip install "serverless-data-mesh[dev]"     # pytest, ruff, pre-commit

Works on Windows, Mac, and Linux. Uses veridata-recon cryptographic VRP when wheels are available; pure-Python fallback otherwise (same PASS/FAIL gate).

What it solves

Problem	Answer
Silent data loss on backfill	VRP FAIL blocks Iceberg snapshot
"Job succeeded" is not proof	Cryptographic multiset proof per chunk
Lambda 15-minute limit	Durable Execution + Step Functions (90+ min)
Retry duplicates data	IceGuard rollback + workload_id checkpoints
Central ETL bottleneck	Per-domain Lambda writer + transaction boundary
Federated blast radius	Producer · Steward · Publisher accounts

Building blocks

Package	Role
iceguard	Physical SafeWriter, timeout rollback, S3 resume
veridata-recon	VRP proof generation and validation
aws-durable-execution-sdk-python	Cross-invocation step replay
pyiceberg	Glue Iceberg REST metadata via GlueCatalogConnector
sparkrules	Optional DRL business rules ([rules] extra)

Quick example

from serverless_data_mesh import (
    IceGuardDurableCoordinator,
    DomainTransactionBoundary,
    VRPProofGenerator,
)

boundary = DomainTransactionBoundary(
    domain_id="orders-domain",
    source_namespace="raw_orders",
    target_table="orders_curated",
    partition_spec={"dt": "2026-06-14"},
)

coordinator = IceGuardDurableCoordinator(
    durable_context=durable_ctx,
    lambda_context=lambda_ctx,
    proof_generator=VRPProofGenerator(),
    catalog_adapter=glue_adapter,
)
outcome = coordinator.run_workload(workload)

Optional extras

Extra	Adds
rules	SparkRules DRL on Lambda
spark	PySpark + SparkRules
all	rules + spark
dev	pytest, ruff, mypy, pre-commit
publish	build, twine

Documentation

• GitHub README
• Vaquar Pattern
• Getting started
• PyPI guide
• Full documentation

License

Apache-2.0