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      <title>Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation</title>
      <link>https://www.infoq.com/news/2026/07/expedia-ai-observability-star/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=gRPC-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/expedia-ai-observability-star/en/headerimage/generatedHeaderImage-1783819381373.jpg"/&gt;&lt;p&gt;Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
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      <category>Redis</category>
      <category>AI Assisted Coding</category>
      <category>Site Reliability Engineering</category>
      <category>Kubernetes</category>
      <category>Prompt Engineering</category>
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      <pubDate>Thu, 23 Jul 2026 14:15:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-23T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/07/expedia-ai-observability-star/en</dc:identifier>
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    <item>
      <title>DoorDash Uses Envoy and Valkey for a 1.5M RPS Proxy Cache with 99.99999% Availability</title>
      <link>https://www.infoq.com/news/2026/07/doordash-entity-cache-proxy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=gRPC-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash has developed Entity Cache, a transparent proxy caching platform built on Envoy and Valkey to reduce redundant service-to-service requests across its microservices architecture. Operating within DoorDash’s service mesh, the platform serves over 1.5M requests per second with 99.99999% availability through caching, event-driven invalidation, failure handling, and performance optimizations.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>Reliability</category>
      <category>Service Reliability</category>
      <category>Valkey</category>
      <category>Availability</category>
      <category>Event Driven Architecture</category>
      <category>Apache Kafka</category>
      <category>Distributed Cache</category>
      <category>Envoy</category>
      <category>HTTP</category>
      <category>Algorithms</category>
      <category>Microservices</category>
      <category>Service Mesh</category>
      <category>Cloud Architecture</category>
      <category>Caching</category>
      <category>gRPC</category>
      <category>Backend For Frontend</category>
      <category>Performance</category>
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      <pubDate>Mon, 20 Jul 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/doordash-entity-cache-proxy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=gRPC-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-20T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/07/doordash-entity-cache-proxy/en</dc:identifier>
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