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    <title>InfoQ - Microservices</title>
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      <title>Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB</title>
      <link>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/en/headerimage/generatedHeaderImage-1787939534250.jpg"/&gt;&lt;p&gt;Agoda migrated its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle growing read and write volumes. The migration used staged dual reads, parity validation, gradual traffic shifting, and decentralized failover detection. Agoda reports an approximately eightfold reduction in P99 read latency, with two DragonflyDB clusters providing high availability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Prometheus</category>
      <category>Caching</category>
      <category>SQL Server</category>
      <category>Microservices</category>
      <category>Distributed Systems</category>
      <category>Redis</category>
      <category>A/B Testing</category>
      <category>Distributed Cache</category>
      <category>Distributed Data</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 13:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-14T13:48:00Z</dc:date>
      <dc:identifier>/news/2026/09/agoda-price-cache-dragonflydb/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Reworks Conductor for 420 Million Monthly Workflow Executions and 10X Larger Workflows</title>
      <link>https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/netflix-conductor-4-workflow/en/headerimage/generatedHeaderImage-1787938102526.jpg"/&gt;&lt;p&gt;Netflix has reworked its Conductor workflow orchestration engine to handle larger workloads, increasing supported workflow size from about 2,500 to 30,000 tasks and reducing p99 workflow evaluation latency by about 40%. Conductor 4.0 separates workflow metadata from task data, moves evaluation to asynchronous processing, and introduces dynamic worker allocation and concurrency controls.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>ElasticSearch</category>
      <category>Asynchronous Architecture</category>
      <category>Concurrency</category>
      <category>Workflow / BPM</category>
      <category>Distributed Systems</category>
      <category>Windows Workflow Foundation</category>
      <category>Cloud Architecture</category>
      <category>Workflow Foundation</category>
      <category>Netflix</category>
      <category>Apache Kafka</category>
      <category>S3</category>
      <category>Scalability</category>
      <category>Java Operator SDK</category>
      <category>Cassandra</category>
      <category>Apache Iceberg</category>
      <category>Microservices</category>
      <category>Orchestration</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 14:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-11T14:17:00Z</dc:date>
      <dc:identifier>/news/2026/09/netflix-conductor-4-workflow/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: How to Run on Three Clouds at Once, and When Not to</title>
      <link>https://www.infoq.com/presentations/form3-multicloud-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</link>
      <description>&lt;img src="https://res.infoq.com/presentations/form3-multicloud-architecture/en/mediumimage/ross-mcfarlane-kevin-holditch-medium-1788338652847.jpg"/&gt;&lt;p&gt;Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets.&lt;/p&gt; &lt;i&gt;By Ross McFarlane, Kevin Holditch&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Fintech</category>
      <category>Availability</category>
      <category>Disaster Recovery</category>
      <category>Resilience</category>
      <category>Microservices</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>QCon London 2026</category>
      <category>AWS</category>
      <category>CockroachDB</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 11 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/form3-multicloud-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</guid>
      <dc:creator>Ross McFarlane, Kevin Holditch</dc:creator>
      <dc:date>2026-09-11T11:00:00Z</dc:date>
      <dc:identifier>/presentations/form3-multicloud-architecture/en</dc:identifier>
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