Systems Research
The Systems Research group focuses mostly on the performance and reliability of engineering systems. It focuses on projects that enable new software capabilities important for a RiskOps Platform, and improve systems characteristics such as memory, storage, computation, latency, throughput, availability, cloud cost, reliability and stability, etc.
Research Focus:
- Streaming Engines
- Graph-based storages
- ML infrastructure
- Distributed processing
Recent Publications
Related Blog Posts
Empowering Fast Graph Visualizations for Fraud Detection (or Why We Built Our Own Graph Database)
Learn how we boosted Genome, a financial crime visualizer using link analysis, performance up to 100x, by building our graph database.
Francisco Santos and Sofia Gomes
Railgun: A new weapon for mission critical streaming tasks
We present Railgun, a streaming engine that provides accurate metrics with millisecond-level latencies in a distributed setting.
Sofia Gomes
Are Streaming Engines lying to you too?
Streaming engines claim they support sliding windows. In truth what they really have are stepping windows. Have you been lied to as well?
Pedro Cardoso
Empowering Fast Graph Visualizations for Fraud Detection (or Why We Built Our Own Graph Database)
Learn how we boosted Genome, a financial crime visualizer using link analysis, performance up to 100x, by building our graph database.
Francisco Santos and Sofia Gomes
Railgun: A new weapon for mission critical streaming tasks
We present Railgun, a streaming engine that provides accurate metrics with millisecond-level latencies in a distributed setting.
Sofia Gomes
Are Streaming Engines lying to you too?
Streaming engines claim they support sliding windows. In truth what they really have are stepping windows. Have you been lied to as well?
Pedro Cardoso
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