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Apache Flink

Apache Flink es la plataforma de stream y batch processing de próxima generación, diseñada para ejecutar análisis en tiempo real con latencia ultrabaja, procesamiento de eventos complejos y tolerancia a fallos automática.

En Itrion operamos 60 clusters Flink, procesamos 4 TB de eventos por minuto y ejecutamos 1,5 M jobs mensuales con una latencia media inferior a 20 ms y un SLA del 99,9 %.

60

Clusters operados

4 TB/min

Eventos procesados

1.5 M

Jobs mensuales

20 ms

Latencia media

Beneficios clave de Apache Flink

Process Events in Real Time
Event-driven, low-latency
Exactly-once Semantics
Stateful robust computations
Flexible Windowing
Tumbling, sliding, session
Rich Connectors
Kafka, JDBC, Cassandra

Componentes esenciales

ComponenteFunciónUso típico
JobManagerOrquesta jobsCoordinación y failover
TaskManagerEjecuta tasksComputación distribuida
State BackendAlmacena estadoRocksDB / Memory
CheckpointingPersistencia de estadoExactly-once
ConnectorsFuentes y sumiderosKafka, S3, JDBC
Flink SQLQueries stream & batchAd-hoc analytics

Pipeline Flink en Itrion

1 · Source (Kafka)
2 · Transform (Flink SQL)
3 · Stateful Ops
4 · Sink (S3, JDBC)
5 · Monitor

End-to-end en ≤ 50 ms bajo carga estable.

Fortalezas de Itrion con Flink

Configuramos consumidores paralelos y backpressure tuning para un throughput sostenido de 600 k msg/s.

Implementamos complex event processing con patrones CEP y timelines personalizados.

Ajustamos intervalos, backend RocksDB y retention para garantizar exactly-once sin impacto de rendimiento.

Desplegamos Flink en Kubernetes con Helm charts y custom operator para auto-healing.

Razones para elegir Itrion

  • Onboarding en 48 h: clusters Flink y Kafka conectados con IaC.
  • Costos optimizados: compactación de state y scale-to-zero en fink-runner.
  • Governance: integraciones con Ranger y Atrato para seguridad y auditoría.
  • Soporte 24/7: response S1 < 10 min, SLAs estrictos en tasks críticos.

Apache Flink is the next-generation stream and batch processing platform designed to run real-time analytics with ultra-low latency, complex event processing, and automatic fault tolerance.

At Itrion, we operate 60 Flink clusters, process 4 TB of events per minute, and run 1.5M jobs monthly with average latency under 20 ms and a 99.9% SLA.

60

Clusters operated

4 TB/min

Events processed

1.5M

Jobs monthly

20 ms

Average latency

Key benefits of Apache Flink

Process Events in Real Time
Event-driven, low-latency
Exactly-once Semantics
Stateful robust computations
Flexible Windowing
Tumbling, sliding, session
Rich Connectors
Kafka, JDBC, Cassandra

Core components

ComponentFunctionTypical use
JobManagerOrchestrates jobsCoordination & failover
TaskManagerExecutes tasksDistributed computation
State BackendStores stateRocksDB / Memory
CheckpointingState persistenceExactly-once
ConnectorsSources and sinksKafka, S3, JDBC
Flink SQLStream & batch queriesAd-hoc analytics

Flink pipeline at Itrion

1 · Source (Kafka)
2 · Transform (Flink SQL)
3 · Stateful Ops
4 · Sink (S3, JDBC)
5 · Monitor

End-to-end in ≤ 50 ms under stable load.

Itrion strengths with Flink

We configure parallel consumers and backpressure tuning for sustained throughput of 600k msg/s.

We implement complex event processing with CEP patterns and customized timelines.

We tune intervals, RocksDB backend and retention to guarantee exactly-once without performance impact.

We deploy Flink on Kubernetes with Helm charts and a custom operator for auto-healing.

Reasons to choose Itrion

  • Onboarding in 48 h: Flink and Kafka clusters connected with IaC.
  • Optimized costs: state compaction and scale-to-zero in flink-runner.
  • Governance: integrations with Ranger and Atrato for security and auditing.
  • 24/7 support: S1 response < 10 min, strict SLAs on critical tasks.

At Itrion, we provide direct, professional communication aligned with the objectives of each organisation. We diligently address all requests for information, evaluation, or collaboration that we receive, analysing each case with the seriousness it deserves.

If you wish to present us with a project, evaluate a potential solution, or simply gain a qualified insight into a technological or business challenge, we will be delighted to assist you. Your enquiry will be handled with the utmost care by our team.