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      <title>OpenTelemetry Graduates to CNCF's Highest Maturity Level</title>
      <link>https://www.infoq.com/news/2026/07/opentelemetry-cncf-maturity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/opentelemetry-cncf-maturity/en/headerimage/generatedHeaderImage-1782553367590.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation (CNCF) has announced the graduation of OpenTelemetry, elevating the project to the foundation's highest level of maturity and formally recognizing it as production-ready for enterprise use.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Observability</category>
      <category>OpenTelemetry</category>
      <category>Monitoring Tools</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/opentelemetry-cncf-maturity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-07-03T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/opentelemetry-cncf-maturity/en</dc:identifier>
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    <item>
      <title>Instacart Scales Personalized Marketing via Configuration-Driven Multi-Tenant Platform</title>
      <link>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Instacart redesigned its personalized marketing system using a configuration-driven multi-tenant architecture on Storefront Pro. The system replaces retailer-specific implementations with a shared execution engine, enabling scalable personalization, faster configuration propagation in under a minute, and 99.9% delivery success across hundreds of retail banners through a unified campaign platform.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>SMS</category>
      <category>Marketing</category>
      <category>Event Driven Architecture</category>
      <category>Multi-tenancy</category>
      <category>Observability</category>
      <category>Configuration Management Tools</category>
      <category>Distributed Systems</category>
      <category>Multi-Tenant Data</category>
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      <pubDate>Wed, 01 Jul 2026 14:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-01T14:05:00Z</dc:date>
      <dc:identifier>/news/2026/07/instacart-multi-tenant-marketing/en</dc:identifier>
    </item>
    <item>
      <title>Eliya 25 Brings a JVM-Level Diagnostic Profile to OpenJDK 25 LTS</title>
      <link>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/en/headerimage/java-istock-image-01-1762720446658-1782700328980.jpg"/&gt;&lt;p&gt;Asymm Systems has released Eliya 25.0.3, an OpenJDK 25 LTS distribution aimed at improving production diagnostics in Java environments. It consolidates several HotSpot features into an opt-in Production profile. Eliya is designed for teams needing reliable diagnostic data, especially in regulated settings. Future enhancements are planned for Phase 2.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>JDK 25</category>
      <category>Open JDK</category>
      <category>Observability</category>
      <category>Java</category>
      <category>JDK</category>
      <category>Monitoring</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 14:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>A N M Bazlur Rahman</dc:creator>
      <dc:date>2026-06-29T14:50:00Z</dc:date>
      <dc:identifier>/news/2026/06/eliya-jvm-diagnostic-profile/en</dc:identifier>
    </item>
    <item>
      <title>Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines</title>
      <link>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/target-ai-campaign-forecasting/en/headerimage/generatedHeaderImage-1780529558601.jpg"/&gt;&lt;p&gt;Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Marketing</category>
      <category>Observability</category>
      <category>Machine Learning</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large Concept Models</category>
      <category>Systems Thinking</category>
      <category>MLOps</category>
      <category>Business Analytics</category>
      <category>vector databases</category>
      <category>Data Analytics</category>
      <category>Generative AI</category>
      <category>Evolutionary Architecture</category>
      <category>Model Fine Tuning</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 14:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-29T14:26:00Z</dc:date>
      <dc:identifier>/news/2026/06/target-ai-campaign-forecasting/en</dc:identifier>
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