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Uber Releases Kraken: An Open Source P2P Docker Registry
Uber has released Kraken, an open source, peer-to-peer (P2P) Docker registry. Kraken is a highly available and scalable Docker registry tailored to meet the needs of enterprises and hybrid cloud environments.
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Uber Open-Sources Ludwig Code-Free Deep-Learning Toolkit
Uber Engineering is open-sourcing Ludwig, a deep-learning toolkit that allows users to experiment with a variety of neural network structures without writing code.
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Uber Introduces AresDB: GPU-Powered, Open-Source, Real-Time Analytics Engine
Uber recently introduced AresDB, an open-source real-time analytics engine leveraging an unconventional power source - graphics processing units (GPUs) - for meeting the growing demands of analysis at scale and at the same time unifying, simplifying and improving Uber’s existing solutions.
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Scaling Observability at Uber: Building In-House Solutions, uMonitor and Neris
Uber’s infrastructure consists of thousands of microservices supporting mobile applications, infrastructure, and internal services. To provide high observability of these services, Uber’s Observability team built two in-house monitoring solutions: uMonitor for time-series metrics-based alerting, and Neris for host-level checks and metrics.
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The Evolution of Uber’s 100+ Petabyte Big Data Platform
Uber’s engineering team wrote about how their big data platform evolved from traditional ETL jobs with relational databases to one based on Hadoop and Spark. A scalable ingestion model, standard transfer format and a custom library for incremental updates are the key components of the platform.
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Amazon Announces Immediate Availability of Asia Pacific (Mumbai) Region
On June 27th, Amazon announced the immediate availability of their 6th AWS Region in Asia Pacific. This region is in Mumbai, India and it joins other regions in Asia Pacific including Beijing, Seoul, Singapore, Sydney, and Tokyo. With the addition of Mumbai, Amazon is now up to 35 Availability Zones across 13 geographic Regions worldwide.
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Uber Unveils its Realtime Market Platform
Matt Ranney, Chief Systems Architect at Uber, gave an overview of their dispatch system, responsible for matching Uber's drivers and riders. Ranney explained the driving forces that led to a rewrite of this system. He described the architectural principles that underpin it, several of the algorithms implemented and why Uber decided to design and implement their own RPC protocol.