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      <title>Uforwarder: Uber’s Scalable Kafka Consumer Proxy for Efficient Event-Driven Microservices</title>
      <link>https://www.infoq.com/news/2026/02/uber-uforwarder-kafka-push-proxy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/uber-uforwarder-kafka-push-proxy/en/headerimage/generatedHeaderImage-1771098351627.jpg"/&gt;&lt;p&gt;Uber has open-sourced uForwarder, a push-based Kafka consumer proxy built to handle trillions of messages and multiple petabytes of data daily. The system introduces context-aware routing, head-of-line blocking mitigation, adaptive auto-rebalancing, and partition-level delay processing to improve scalability, workload isolation, and hardware efficiency in large-scale event-driven microservices.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Event Driven Architecture</category>
      <category>Microservices</category>
      <category>Distributed Systems</category>
      <category>Apache Kafka</category>
      <category>Hardware</category>
      <category>Open Source</category>
      <category>Scalability</category>
      <category>Routing</category>
      <category>gRPC</category>
      <category>Resilience</category>
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      <pubDate>Mon, 23 Feb 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/uber-uforwarder-kafka-push-proxy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-02-23T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/02/uber-uforwarder-kafka-push-proxy/en</dc:identifier>
    </item>
    <item>
      <title>Reducing Onboarding from 48 Hours to 4: inside Amazon Key’s Event-Driven Platform</title>
      <link>https://www.infoq.com/news/2026/02/amazon-key-event-driven-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/amazon-key-event-driven-platform/en/headerimage/generatedHeaderImage-1771041547572.jpg"/&gt;&lt;p&gt;Amazon Key modernized its event platform by adopting a centralized, event-driven architecture built on Amazon EventBridge. The redesign processes millions of daily events with millisecond latency, improves schema governance, automates cross-account routing, and reduces service onboarding time from 48 hours to four, while maintaining 99.99 percent reliability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Event Driven Architecture</category>
      <category>Microservices</category>
      <category>Amazon</category>
      <category>Modular Monolith</category>
      <category>Low Latency</category>
      <category>Evolutionary Architecture</category>
      <category>Platforms</category>
      <category>CloudFormation</category>
      <category>AWS</category>
      <category>Integration</category>
      <category>Cloud Architecture</category>
      <category>Service Bus</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
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      <pubDate>Thu, 19 Feb 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/amazon-key-event-driven-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-02-19T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/02/amazon-key-event-driven-platform/en</dc:identifier>
    </item>
    <item>
      <title>Uber and OpenAI Retool Rate Limiting Systems</title>
      <link>https://www.infoq.com/news/2026/02/uber-openai-rate-limiting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Uber and OpenAI are replacing static rate limits with adaptive, infrastructure-level platforms. Uber’s Global Rate Limiter utilizes probabilistic shedding to manage 80M RPS, while OpenAI’s Access Engine implements a credit waterfall to prevent user interruptions. Both architectures utilize distributed enforcement and soft controls to maintain system stability and service continuity at scale.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Microservices</category>
      <category>Distributed Systems</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 17 Feb 2026 23:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/uber-openai-rate-limiting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices-news</guid>
      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2026-02-17T23:02:00Z</dc:date>
      <dc:identifier>/news/2026/02/uber-openai-rate-limiting/en</dc:identifier>
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