Distributed cloud data environments
Decoupled lakehouse and mesh topologies that separate storage from compute, so teams can run heavy analytical processing without touching operational databases or running up cloud costs.
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High-throughput architectures. Risk-free migrations.
Dismantle rigid silos and break free from expensive legacy technical debt. We design modular, decoupled cloud architectures and execute zero-downtime migrations that turn static databases into high-velocity streaming environments.
Discuss your infrastructure migrationOur philosophy
Legacy on-premise hardware and monolithic architectures are the ultimate bottleneck to enterprise agility. But copying messy, unorganised data into the cloud, the classic lift-and-shift, only makes your existing technical debt more expensive. We treat migration as an active phase of architectural transformation: cleaning, de-duplicating and restructuring your data while in transit, so your new environment is optimised from day one.
What we deliver
Real-time event-driven streaming
Low-latency streaming pipelines on Amazon MSK, Kafka or Kinesis that capture, process and distribute high-velocity enterprise events with sub-second delivery to downstream systems.
Zero-downtime infrastructure migration
Structured transitions from on-premise servers and ageing relational setups to scalable cloud platforms, mapping complex relational schemas to column-oriented architectures without interrupting live business.
Automated data parity & validation
Automated reconciliation that cross-verifies every data point between legacy source and cloud target, ensuring integrity, consistency and structural compliance after migration.
Our stack expertise
Streaming & event ingestion
- Apache Kafka
- Amazon Kinesis
- Amazon MSK
- RabbitMQ
Storage & target architectures
- Amazon S3
- Azure ADLS
- PostgreSQL
- DynamoDB
- Delta Lake