🛠️ Blueprint Automation

Overview

Blueprint Automation transforms how teams build and deploy streaming pipelines. Instead of manually configuring brokers, topics, and consumers, engineers define their streaming architecture declaratively—letting Datorth handle provisioning, validation, and deployment across environments.

Key Capabilities

Schema Registry with Lineage Tracking

Maintain a centralized registry of all event schemas with full versioning and backward compatibility checks. Every schema change is tracked, providing complete lineage from producer to consumer.

• Automatic compatibility validation — Prevent breaking changes with configurable compatibility modes (backward, forward, full)
• Schema evolution support — Safely evolve schemas with migration utilities and consumer notifications
• Cross-team discovery — Browse and subscribe to schemas published by other teams
• Lineage visualization — Trace data flow from source systems through transformations to downstream consumers

Self-Service Provisioning Workflows

Empower development teams to provision streaming resources without waiting on platform teams. Built-in guardrails ensure compliance while maximizing velocity.

• Template-based provisioning — Start from approved blueprints with sensible defaults
• Approval workflows — Configure optional review gates for production deployments
• Resource quotas — Prevent runaway costs with configurable limits per team or project
• Environment promotion — Seamlessly move configurations from dev → staging → production

Pipeline Testing & Promotion Gates

Validate pipeline behavior before production deployment with integrated testing frameworks and quality gates.

• Simulation mode — Test pipelines with synthetic or sampled data before going live
• Contract testing — Verify producer-consumer contracts automatically
• Performance benchmarks — Ensure latency and throughput targets are met before promotion
• Rollback automation — Instantly revert to previous versions if issues are detected

Flow Studio

Flow Studio provides a visual interface for designing, testing, and deploying streaming pipelines. Drag-and-drop components, configure transformations, and preview data flow in real time.

Visual Pipeline Design

• Drag-and-drop connectors for Kafka, Pulsar, Kinesis, and more
• Built-in transformation library (filter, map, aggregate, join)
• Real-time data preview and schema inference
• Collaborative editing with version control integration

Declarative Configuration

Export visual designs as YAML or JSON for GitOps workflows. Every change is tracked, reviewable, and reproducible.

SDK & API Access

For teams preferring code-first approaches, Datorth provides SDKs in Python, Java, Go, and TypeScript. Full REST and gRPC APIs enable integration with existing CI/CD pipelines.

• Terraform provider for infrastructure-as-code
• GitHub Actions and GitLab CI integrations
• Kubernetes operators for cloud-native deployments
• CLI tools for local development and testing

Getting Started

Ready to automate your streaming infrastructure? Our team can help you design a blueprint strategy tailored to your architecture.