<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Observability - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Observability News feed</description>
    <item>
      <title>Cloudflare Introduces Workflows V2 with Deterministic Execution and 50K Concurrent Workflows</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-workflows-v2-release/?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/2026/05/cloudflare-workflows-v2-release/en/headerimage/generatedHeaderImage-1777438019188.jpg"/&gt;&lt;p&gt;Cloudflare introduces Workflows V2, a redesigned distributed workflow orchestration system with deterministic replayable execution, improved observability, and major scaling upgrades, including 50,000 concurrent instances and 2M queued workflows. It supports AI agents, data pipelines, and background processing with improved reliability across distributed systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Windows Workflow Foundation</category>
      <category>Observability</category>
      <category>AI Architecture</category>
      <category>Scalability</category>
      <category>Microservices</category>
      <category>Orchestration</category>
      <category>Cloudflare</category>
      <category>Data Pipelines</category>
      <category>Cloud Computing</category>
      <category>Agents</category>
      <category>Concurrency</category>
      <category>Serverless</category>
      <category>Event Driven Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 15 May 2026 14:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-workflows-v2-release/?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>2026-05-15T14:04:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-workflows-v2-release/en</dc:identifier>
    </item>
    <item>
      <title>Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks</title>
      <link>https://www.infoq.com/news/2026/05/pinterest-cpu-zombies-bottleneck/?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/2026/05/pinterest-cpu-zombies-bottleneck/en/headerimage/header-1778308038640.jpeg"/&gt;&lt;p&gt;Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Debugging</category>
      <category>Performance</category>
      <category>Performance Tuning</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 14 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pinterest-cpu-zombies-bottleneck/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-05-14T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/pinterest-cpu-zombies-bottleneck/en</dc:identifier>
    </item>
    <item>
      <title>Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale</title>
      <link>https://www.infoq.com/news/2026/05/pyroscope-2-profiling/?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/2026/05/pyroscope-2-profiling/en/headerimage/generatedHeaderImage-1778539051167.jpg"/&gt;&lt;p&gt;Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes include single write paths for profiles, stateless query processing, and enhanced capabilities for profiling data. It supports the OpenTelemetry Protocol, aligning with current trends in observability.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Grafana</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pyroscope-2-profiling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Observability-news</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-13T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/pyroscope-2-profiling/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid</title>
      <link>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?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/2026/05/netflix-druid-interval-cache/en/headerimage/generatedHeaderImage-1777092326529.jpg"/&gt;&lt;p&gt;Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Data Analytics</category>
      <category>Observability</category>
      <category>Caching</category>
      <category>Distributed Systems</category>
      <category>Optimization</category>
      <category>Apache</category>
      <category>Time Series Data</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?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>2026-05-11T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/05/netflix-druid-interval-cache/en</dc:identifier>
    </item>
    <item>
      <title>How GitHub Is Securing Agentic Workflows in Modern CI CD Systems</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-workflows/?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/2026/05/github-agentic-workflows/en/headerimage/generatedHeaderImage-1777009566990.jpg"/&gt;&lt;p&gt;GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cloud Security</category>
      <category>Observability</category>
      <category>Security</category>
      <category>Workflow / BPM</category>
      <category>Continuous Deployment</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Continuous Integration</category>
      <category>Logging</category>
      <category>Continuous Improvement</category>
      <category>GitHub Actions</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-workflows/?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>2026-05-08T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-workflows/en</dc:identifier>
    </item>
  </channel>
</rss>
