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    <title>InfoQ - Microservices</title>
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    <description>InfoQ Microservices feed</description>
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      <title>Article: The Technology Adoption Curve, Twenty Years On</title>
      <link>https://www.infoq.com/articles/adoption-curve-twenty/?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/articles/adoption-curve-twenty/en/headerimage/generatedHeaderImage-1780670505517.jpg"/&gt;&lt;p&gt;Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years.&lt;/p&gt; &lt;i&gt;By Renato Losio, Dio Synodinos&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Technology Trends</category>
      <category>Cloud</category>
      <category>Machine Learning</category>
      <category>Agile</category>
      <category>Kubernetes</category>
      <category>Java</category>
      <category>Software Engineering</category>
      <category>Microservices</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 08 Jun 2026 08:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/adoption-curve-twenty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</guid>
      <dc:creator>Renato Losio, Dio Synodinos</dc:creator>
      <dc:date>2026-06-08T08:30:00Z</dc:date>
      <dc:identifier>/articles/adoption-curve-twenty/en</dc:identifier>
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    <item>
      <title>How Netflix Maps Thousands of Microservices in Real-Time</title>
      <link>https://www.infoq.com/news/2026/06/netflix-microservices-realtime/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and resolve issues more quickly. The system merges three separate data sources into a single, queryable graph. It updates almost in real-time as traffic patterns shift.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Observability</category>
      <category>eBPF</category>
      <category>Microservices</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 05 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/netflix-microservices-realtime/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Microservices</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-06-05T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/netflix-microservices-realtime/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Reports 15X Faster Graphql Execution with Breadth First Engine</title>
      <link>https://www.infoq.com/news/2026/06/shopify-graphql-cardinal-bfs/?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/2026/06/shopify-graphql-cardinal-bfs/en/headerimage/generatedHeaderImage-1779561076024.jpg"/&gt;&lt;p&gt;Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves large-scale GraphQL performance with up to 15x faster field execution, 6x lower GC overhead, and +4s P50 latency gains. It focuses on execution-layer efficiency and batched resolver processing for high-cardinality commerce queries.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>GraphQL</category>
      <category>API</category>
      <category>Low Latency</category>
      <category>Platform Engineering</category>
      <category>Optimization</category>
      <category>Search</category>
      <category>Performance</category>
      <category>Microservices</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 01 Jun 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/shopify-graphql-cardinal-bfs/?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>2026-06-01T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/06/shopify-graphql-cardinal-bfs/en</dc:identifier>
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