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    <title>InfoQ</title>
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    <item>
      <title>Presentation: Trustworthy Productivity: Securing AI-Accelerated Development</title>
      <link>https://www.infoq.com/presentations/ai-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-development/en/mediumimage/SriramMadapusiVasudevan-medium-1782220895596.jpg"/&gt;&lt;p&gt;Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool execution using defense-in-depth strategies, LLM-as-a-judge critics, and MAESTRO threat modeling.&lt;/p&gt; &lt;i&gt;By Sriram Madapusi Vasudevan&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Developer Experience</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 30 Jun 2026 14:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sriram Madapusi Vasudevan</dc:creator>
      <dc:date>2026-06-30T14:35:00Z</dc:date>
      <dc:identifier>/presentations/ai-development/en</dc:identifier>
    </item>
    <item>
      <title>Elastic Open-Sources Atlas Agent Memory Based on Cognitive Science</title>
      <link>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/elastic-atlas-agent-memory/en/headerimage/generatedHeaderImage-1782569563186.jpg"/&gt;&lt;p&gt;Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>ElasticSearch</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anthony Alford</dc:creator>
      <dc:date>2026-06-30T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/elastic-atlas-agent-memory/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix</title>
      <link>https://www.infoq.com/news/2026/06/azuredevops-copilot-autofix/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/azuredevops-copilot-autofix/en/headerimage/generatedHeaderImage-1782552787591.jpg"/&gt;&lt;p&gt;Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using Azure Repos.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>Artificial Intelligence</category>
      <category>Microsoft Azure</category>
      <category>copilot</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/azuredevops-copilot-autofix/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-06-30T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/azuredevops-copilot-autofix/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Lambda MicroVMs for Isolated Agent and User Code Execution</title>
      <link>https://www.infoq.com/news/2026/06/aws-lambda-microvms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-lambda-microvms/en/headerimage/generatedHeaderImage-1782380968528.jpg"/&gt;&lt;p&gt;AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid launch, and state preservation for up to eight hours. Reddit community analysis found the minimum setup costs $3.03/day, roughly 9x Fargate spot pricing.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Containers</category>
      <category>Cloud Architecture</category>
      <category>AWS Lambda</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 09:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-lambda-microvms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-30T09:09:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-lambda-microvms/en</dc:identifier>
    </item>
    <item>
      <title>Article: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design</title>
      <link>https://www.infoq.com/articles/tradeoffs-event-driven-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/tradeoffs-event-driven-design/en/headerimage/tradeoffs-event-driven-design-header-1782458803116.jpg"/&gt;&lt;p&gt;Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.&lt;/p&gt; &lt;i&gt;By Sagar Deepak Joshi&lt;/i&gt;</description>
      <category>Apache Kafka</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Redis</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Tue, 30 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/tradeoffs-event-driven-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sagar Deepak Joshi</dc:creator>
      <dc:date>2026-06-30T09:00:00Z</dc:date>
      <dc:identifier>/articles/tradeoffs-event-driven-design/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Hardwood 1.0, Endive 1.0, Azul Payara, Quarkus, WildFly, LangChain4j, OSSI</title>
      <link>https://www.infoq.com/news/2026/06/java-news-roundup-jun22-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/java-news-roundup-jun22-2026/en/headerimage/java-news-roundup-image-1782763644221.jpg"/&gt;&lt;p&gt;This week's Java roundup for June 22nd, 2026, features news highlighting: the GA releases of Hardwood 1.0 and Endive 1.0; the June 2026 edition of Azul Payara; point releases of Quarkus, LangChain4j; the first beta release of WildFly 41; and introducing Eliya JDK and the Open Source Sustainability Initiative (OSSI), the latter of which was founded by HeroDevs and Commonhaus Foundation.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Hardwood</category>
      <category>LangChain</category>
      <category>Azul Payara</category>
      <category>JDK 27</category>
      <category>Quarkus</category>
      <category>Eliya JDK</category>
      <category>Java</category>
      <category>JBoss WildFly</category>
      <category>Open Source Sustainability Initiative</category>
      <category>JDK 28</category>
      <category>Endive</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 23:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/java-news-roundup-jun22-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-06-29T23:30:00Z</dc:date>
      <dc:identifier>/news/2026/06/java-news-roundup-jun22-2026/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=global</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=global</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=global</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=global</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>
    </item>
    <item>
      <title>Presentation: Million PDFs: Building a Modern Document Infrastructure with Rust and Typst</title>
      <link>https://www.infoq.com/presentations/document-infrastructure-rust-typst/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/document-infrastructure-rust-typst/en/mediumimage/ErikSteiger-medium-1782220478687.jpg"/&gt;&lt;p&gt;Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how transitioning from resource-heavy engines like Puppeteer and LaTeX to a serverless Rust architecture powered by Typst can drop render latencies below 2ms. He shares how applying Git and Docker concepts to template registries ensures ironclad compliance and rapid debugging.&lt;/p&gt; &lt;i&gt;By Erik Steiger&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Performance &amp; Scalability</category>
      <category>Rust</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 29 Jun 2026 12:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/document-infrastructure-rust-typst/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Erik Steiger</dc:creator>
      <dc:date>2026-06-29T12:35:00Z</dc:date>
      <dc:identifier>/presentations/document-infrastructure-rust-typst/en</dc:identifier>
    </item>
    <item>
      <title>Article: Virtual panel: Security in the Machine Age: Expert Insights on AI Threat Evolution</title>
      <link>https://www.infoq.com/articles/security-ai-threat-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/security-ai-threat-evolution/en/headerimage/security-ai-threat-evolution-header-1782202845102.jpg"/&gt;&lt;p&gt;This virtual panel brings together AI security experts to examine the evolution of AI-driven threats, from prompt injection and data poisoning to agent abuse and AI-powered social engineering. The discussion explores emerging attack patterns, incident response challenges, and the changes security teams must make as AI systems become more autonomous and integrated into critical workflows.&lt;/p&gt; &lt;i&gt;By Claudio Masolo, Elham Arshad, Sabri Allani, Vijay Dilwale, Igor Maljkovic&lt;/i&gt;</description>
      <category>Governance</category>
      <category>AI Security</category>
      <category>Adversarial Machine Learning</category>
      <category>Virtual Panel</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 29 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/security-ai-threat-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo, Elham Arshad, Sabri Allani, Vijay Dilwale, Igor Maljkovic</dc:creator>
      <dc:date>2026-06-29T11:00:00Z</dc:date>
      <dc:identifier>/articles/security-ai-threat-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Architectural Patterns: Moving Beyond Cloud-Native to Local-First - Insights from Adam Wiggins</title>
      <link>https://www.infoq.com/podcasts/natural-evolution-cloud-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/natural-evolution-cloud-native/en/smallimage/the-infoq-podcast-logo-thumbnail-1782207787976.jpg"/&gt;&lt;p&gt;In this episode, Heroku co-founder and Ink &amp; Switch founder Adam Wiggins argues for a 'local-first' architecture that reconciles cloud-based collaboration with the performance and data ownership of local software. He explores the role of CRDTs and version control primitives in non-code domains, and examines how a hybrid AI future might leverage local models for core productivity tasks.&lt;/p&gt; &lt;i&gt;By Adam Wiggins&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Cloud-Native</category>
      <category>CRDT</category>
      <category>Architecture</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 29 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/natural-evolution-cloud-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adam Wiggins</dc:creator>
      <dc:date>2026-06-29T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/natural-evolution-cloud-native/en</dc:identifier>
    </item>
    <item>
      <title>AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds</title>
      <link>https://www.infoq.com/news/2026/06/ai-coding-outpaces-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/ai-coding-outpaces-governance/en/headerimage/ai-coding-outpaces-governance-1782718807762.jpeg"/&gt;&lt;p&gt;GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Governance</category>
      <category>Code Generation</category>
      <category>Software Development</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/ai-coding-outpaces-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-06-29T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/ai-coding-outpaces-governance/en</dc:identifier>
    </item>
    <item>
      <title>Swift 6.4 Brings New Language Features and Swift Testing/XCTest Interop</title>
      <link>https://www.infoq.com/news/2026/06/swift-6-4-beta-features/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/swift-6-4-beta-features/en/headerimage/android-studio-otter-llm-1782634112952.jpeg"/&gt;&lt;p&gt;Currently available as a beta in Xcode 27, Swift 6.4 introduces a range of enhancements: better C interoperability, simplified OS availability check, fine-grained warning control, async support in defer, efficient iteration for non-noncopyable types, up to 4x faster URL parsing, and improved interoperability between Swift Testing and XCTest.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Apple</category>
      <category>iOS</category>
      <category>Swift</category>
      <category>MacOS</category>
      <category>Programming Languages</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/swift-6-4-beta-features/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-06-28T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/swift-6-4-beta-features/en</dc:identifier>
    </item>
    <item>
      <title>AWS Previews FinOps Agent for Cost Analysis and Optimization</title>
      <link>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-finops-agent/en/headerimage/generatedHeaderImage-1781884717104.jpg"/&gt;&lt;p&gt;Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>FinOps</category>
      <category>AWS</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 05:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-28T05:55:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-finops-agent/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Workload Credentials Provider for Automated Certificate and Secret Management</title>
      <link>https://www.infoq.com/news/2026/06/aws-credentials-provider/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-credentials-provider/en/headerimage/generatedHeaderImage-1781712757418.jpg"/&gt;&lt;p&gt;AWS has recently announced the AWS Workload Credentials Provider to automatically deliver and refresh certificates and secrets for applications. The open source tool reduces the need for custom automation, helps prevent outages caused by expired certificates, and works in both AWS and non-AWS environments.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Hashicorp</category>
      <category>AWS</category>
      <category>Automation</category>
      <category>Cloud Security</category>
      <category>Cloud</category>
      <category>SSL</category>
      <category>Open Source</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 27 Jun 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-credentials-provider/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-27T11:04:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-credentials-provider/en</dc:identifier>
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