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DoorDash Develops New Sessionization Platform with Flink to Improve Notification Delivery Timeliness
DoorDash has significantly enhanced its user engagement by leveraging Apache Flink for real-time session detection and notification delivery. This move marks a substantial advancement in user interaction and cart conversion rates.
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Reddit Unveils REV2: Modernised Rule-Execution with Kubernetes, Kafka, and Flink Stateful Functions
Reddit's Safety Engineering team recently published how it modernised its Rule-Execution system, which detects and acts on policy-violating content in real time. The new architecture includes improvements like transitioning from legacy EC2-based systems to Kubernetes, better rule version control with Github and S3 storage, and the capability to scale more efficiently with Flink Stateful Functions.
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Netflix Builds a Custom High-Throughput Priority Queue Backed by Redis, Kafka and Elasticsearch
Netflix recently published how it built Timestone, a custom high-throughput, low-latency priority queueing system. They built it using open-source components such as Redis, Apache Kafka, Apache Flink and Elasticsearch. Engineers state that they made Timestone since they could not find an off-the-shelf solution that met all of its requirements.
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Netflix Keystone Real-Time Stream Processing Platform
Netflix recently published a post in their tech blog discussing the design considerations and insights of Keystone, their Real-time stream processing platform. Keystone has been operational since December 2015 and has grown significantly over the years as Netflix subscribers have grown from 65 to over 130 million in the past 3 years. This article follows on the latest state of Keystone platform...
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Mahout to Get Self-Optimizing Matrix Algebra Interface with Pluggable Backends for Spark and Flink
At the recent GOTO conference in Berlin, Mahout committer Sebastian Schelter outlined recent advances in Mahout's ongoing effort to create a scalable foundation for data analysis that is as easy to use as R or Python.