Distributed Systems
The distributed-systems layer underpinning Mantra platforms — event-driven architecture with Apache Kafka, distributed databases, CQRS/event-sourcing and high-throughput processing patterns.
Event-driven architecture, message streaming and high-throughput data systems.
Event-Driven Architecture
Apache Kafka and NATS for real-time identity events, fraud signals and audit streams at millions of events per second.
Distributed Databases
Polyglot persistence — PostgreSQL, CockroachDB, Redis, Elasticsearch, Neo4j and time-series — chosen per workload with global replication.
High-Throughput Processing
Stream processing with Flink and Spark for real-time fraud detection and identity analytics.
CQRS & Event Sourcing
Immutable audit log with full event replay for compliance, debugging and temporal queries.
End-to-end processing pipeline
Governed, sequential execution stages powering this identity domain.
Real-world business use cases
How this technology delivers impact in government, fintech, and enterprise operations.
Real-Time Fraud Streams
Kafka pipelines delivering fraud signals under 50ms.
Identity Event Log
Immutable, replayable audit of every identity event.
Analytics Pipelines
Population-scale identity analytics.
Search & Graph
Elasticsearch and graph queries across identity data.
Sub-capabilities & technical set (21)
The granular technical stack executing beneath this domain.
"domain_id": "distributed-systems",
"group": "engineering",
"techs_count": 21,
"status": "PRODUCTION_READY"
}
System standards reference
Industry certifications and regulatory frameworks validated for this technology domain.
Apply Distributed Systems to Your Stack
Collaborate with Mantra's engineering and research teams to deploy these technical capabilities inside your identity solution.