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Fawaz Ghali

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Beyond Logs: Real-Time Anomaly Detection with Machine LearningVoxxed Days Thessaloniki 20232023-11-24
Claim: logs and traces are stored together in a scalable repository and scored with ML to surface anomalies within ~50 ms. Implementation shows two patterns: a…
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Enriching Kafka Applications With Real-time Contextual DataGeeCON Prague 20232023-10-19
Claim: enrich Kafka streams by co-locating fast storage and compute so real-time events join with historical context with millisecond-scale latency. Demo uses…
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Five Challenges in Real-time Stream Processing and Five SolutionsSREday 2023 London2023-09-14
Hazelcast-based pipeline demo connects Redpanda (Kafka) topics, generates orders with Python, joins streams in an in‑memory IMAP and runs SQL-like queries to…
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Level-Up Real-time Go Applications with RingbuffersGopherCon UK 20232023-08-16
Shows how to turn an existing Go service into a low-latency stream processor using Hazelcast ringbuffers, with a GitHub demo and a Go client example. Explains…
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Real-time Fraud Detection Challenges and SolutionsNDC Oslo 20232023-05-22
Claims a working Hazelcast Open Source pipeline that processes Kafka events in-memory with SQL enrichment and sliding windows to hit millisecond SLAs, not…
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Beyond Logs: Real Time Anomaly Detection with Machine LearningGreat International Developer Summit 20232023-04-25
Pipeline that ingests Kafka log streams, combines them with batch context in Hazelcast, and runs Python-backed models (SQL or map/journal stages) to score and…
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Building High Performance Real-time Stream Processing MicroservicesGeeCON 20232023-04-19
Claims a real-time pipeline that combines streaming sources (Kafka/Pulsar) with in‑memory historical context using Hazelcast maps and map journal, runs…
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Running Machine Learning Analytics On TracesHeapcon 20222022-11-03
Proposes storing logs and traces in cloud object storage and feeding them into an open‑source Hazelcast streaming layer that keeps hot state in memory, runs…
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Real-time Fraud Detection: Challenges and SolutionsGeeCON Prague 20222022-05-11
Coverage of a real-time fraud pipeline using Hazelcast: ingest from Kafka, cache operational data, run lightweight ML and SQL-based stream processing, and…
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