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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Inside Atlassian’s Forge Billing Architecture for Distributed Usage Tracking at Scale</title>
      <link>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?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/forge-billing-usage-platform/en/headerimage/generatedHeaderImage-1780198060365.jpg"/&gt;&lt;p&gt;Atlassian details the Forge billing platform built for usage-based pricing across its cloud ecosystem. It processes large-scale usage events with correct attribution, deduplication, and aggregation using a streaming pipeline, idempotent processing, and layered storage to enable accurate billing, near real-time visibility, and reliable reconciliation across distributed services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Event Stream Processing</category>
      <category>Atlassian</category>
      <category>Jira</category>
      <category>Multi-tenancy</category>
      <category>Apache Kafka</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>Observability</category>
      <category>FinOps</category>
      <category>SaaS</category>
      <category>Distributed Systems</category>
      <category>Cloud Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 14:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?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>2026-06-20T14:21:00Z</dc:date>
      <dc:identifier>/news/2026/06/forge-billing-usage-platform/en</dc:identifier>
    </item>
    <item>
      <title>Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI</title>
      <link>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?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/apple-core-ai-wwdc/en/headerimage/jetbrains-rustrover-ide-1781953134950.jpeg"/&gt;&lt;p&gt;At WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device, supporting both custom-converted PyTorch models and pre-optimized open-source models.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Mobile</category>
      <category>Artificial Intelligence</category>
      <category>visionOS</category>
      <category>Python</category>
      <category>Apple</category>
      <category>MacOS</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?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>2026-06-20T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/apple-core-ai-wwdc/en</dc:identifier>
    </item>
    <item>
      <title>Claude Fable 5 on Bedrock Requires Sharing Inference Data with Anthropic</title>
      <link>https://www.infoq.com/news/2026/06/bedrock-fable-5-data-sharing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Using Claude Fable 5 or Mythos 5 on Amazon Bedrock requires opting into provider_data_share, sending prompts and outputs to Anthropic for 30-day retention with human review. Previous Bedrock models kept inference data inside the AWS boundary. Three days after launch, Anthropic asked AWS to revoke access to both models citing US export control compliance.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Amazon</category>
      <category>AI Architecture</category>
      <category>Claude</category>
      <category>Data Privacy</category>
      <category>Amazon Web Services</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 09:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/bedrock-fable-5-data-sharing/?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>2026-06-20T09:03:00Z</dc:date>
      <dc:identifier>/news/2026/06/bedrock-fable-5-data-sharing/en</dc:identifier>
    </item>
    <item>
      <title>AWS Adds Multi-Region Replication to Amazon Cognito Identity Service</title>
      <link>https://www.infoq.com/news/2026/06/cognito-replication-aws/?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/cognito-replication-aws/en/headerimage/generatedHeaderImage-1780821804660.jpg"/&gt;&lt;p&gt;AWS recently introduced Amazon Cognito multi-region replication, which automatically replicates user identities and user pool configurations from a primary region to a secondary one. This enables applications to continue authenticating users from a replica region during outages, without requiring custom replication and failover mechanisms.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Authentication</category>
      <category>Cloud Security</category>
      <category>AWS</category>
      <category>Identity Management</category>
      <category>multi-region</category>
      <category>Availability</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 07:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cognito-replication-aws/?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>2026-06-20T07:40:00Z</dc:date>
      <dc:identifier>/news/2026/06/cognito-replication-aws/en</dc:identifier>
    </item>
    <item>
      <title>Behind the Scenes:  Block 450 JVM Repositories Into Monorepo to Reduce Dependency Drift</title>
      <link>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly builds with ~10 min p90 CI time. The approach improves cross-service changes, build visibility, and developer experience through dependency graph–based builds, selective CI, and custom IDE tooling.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>IntelliJ IDEA</category>
      <category>JVM</category>
      <category>Platform Engineering</category>
      <category>Large Projects</category>
      <category>Continuous Integration</category>
      <category>plugins</category>
      <category>Java</category>
      <category>Distributed Systems</category>
      <category>Continuous Deployment</category>
      <category>Build systems</category>
      <category>IDE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 14:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?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>2026-06-19T14:47:00Z</dc:date>
      <dc:identifier>/news/2026/06/block-450-jvm-monorepo-migration/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI Agents to Make Sense of Data at OpenAI</title>
      <link>https://www.infoq.com/presentations/data-aware-ai-agents/?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/data-aware-ai-agents/en/mediumimage/bonnie-xu-medium-1781164411672.jpg"/&gt;&lt;p&gt;OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context window limits using MCP, automated code crawling, and RAG. Xu also shares how their team leverages scoped semantic memory for self-learning and utilizes AST-based LLM grading to build a robust, regression-free evaluation pipeline.&lt;/p&gt; &lt;i&gt;By Bonnie Xu&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 19 Jun 2026 12:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/data-aware-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bonnie Xu</dc:creator>
      <dc:date>2026-06-19T12:02:00Z</dc:date>
      <dc:identifier>/presentations/data-aware-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>CircleCI Introduces Chunk Sidecars to Bring CI Validation Directly Into AI Coding Workflows</title>
      <link>https://www.infoq.com/news/2026/06/circleci-chunk-sidecars/?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/circleci-chunk-sidecars/en/headerimage/generatedHeaderImage-1781604235680.jpg"/&gt;&lt;p&gt;CircleCI has launched Chunk Sidecars, a new capability designed to bring CI-style validation directly into an AI coding agent's inner development loop&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Continuous Integration</category>
      <category>Sidecar</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/circleci-chunk-sidecars/?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>2026-06-19T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/circleci-chunk-sidecars/en</dc:identifier>
    </item>
    <item>
      <title>TSRX: A Framework-Agnostic Alternative to JSX</title>
      <link>https://www.infoq.com/news/2026/06/tsrx-alternative-jsx/?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/tsrx-alternative-jsx/en/headerimage/generatedHeaderImage-1781801475835.jpg"/&gt;&lt;p&gt;TSRX is a TypeScript language extension developed by Dominic Gannaway, designed to build declarative user interfaces in a framework-agnostic manner. It compiles single .tsrx files to various runtime targets and supports scoped styles and declarative error handling. TSRX is currently in alpha and is open source under the MIT license.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Web Development</category>
      <category>React</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 11:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/tsrx-alternative-jsx/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-06-19T11:49:00Z</dc:date>
      <dc:identifier>/news/2026/06/tsrx-alternative-jsx/en</dc:identifier>
    </item>
    <item>
      <title>Article: Designing Continuous Authorization for Sensitive Cloud Systems</title>
      <link>https://www.infoq.com/articles/continuous-authorization-cloud/?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/continuous-authorization-cloud/en/headerimage/continuous-authorization-cloud-header-1781599988842.jpg"/&gt;&lt;p&gt;Most cloud systems make one authorization decision at login. Everything after runs on trust established at authentication time. For systems handling regulated data, that gap is where breaches happen. This article presents a continuous authorization architecture covering risk-tiered evaluation, behavioral baselines, privacy-preserving audit trails, and a phased and incremental rollout.&lt;/p&gt; &lt;i&gt;By Venkata Nedunoori&lt;/i&gt;</description>
      <category>Authorization</category>
      <category>Zero Trust</category>
      <category>Data Privacy</category>
      <category>Cloud Security</category>
      <category>Identity Management</category>
      <category>GDPR</category>
      <category>Cloud</category>
      <category>Compliance</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Fri, 19 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/continuous-authorization-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Venkata Nedunoori</dc:creator>
      <dc:date>2026-06-19T09:00:00Z</dc:date>
      <dc:identifier>/articles/continuous-authorization-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Azure Functions Ships Serverless Agents Runtime at Build 2026</title>
      <link>https://www.infoq.com/news/2026/06/azure-functions-serverless-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/azure-functions-serverless-agent/en/headerimage/generatedHeaderImage-1781769901887.jpg"/&gt;&lt;p&gt;Azure Functions shipped a serverless agents runtime in public preview at Build 2026. Agents are defined in .agent.md markdown files with YAML triggers, MCP server access, 1,400+ connectors, and sandboxed execution. The Functions team confirmed to InfoQ that the runtime adds no cold start overhead and no billing premium beyond standard Flex Consumption.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Microsoft Azure</category>
      <category>Azure Functions</category>
      <category>Cloud</category>
      <category>FaaS</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 08:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/azure-functions-serverless-agent/?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>2026-06-19T08:57:00Z</dc:date>
      <dc:identifier>/news/2026/06/azure-functions-serverless-agent/en</dc:identifier>
    </item>
    <item>
      <title>Windows Platform Security and the Race to Secure AI Agents</title>
      <link>https://www.infoq.com/news/2026/06/windows-security-agents/?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/windows-security-agents/en/headerimage/generatedHeaderImage-1781565951953.jpg"/&gt;&lt;p&gt;In a new Windows Developer Blog post titled "Windows platform security for AI agents", Microsoft positions Windows as the trustworthy operating system for autonomous agents and introduces the Microsoft Execution Containers (MXC) SDK as the core of that strategy. The post argues that containment, identity and manageability must be built into the operating system.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Windows</category>
      <category>AI Security</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/windows-security-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-06-19T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/windows-security-agents/en</dc:identifier>
    </item>
    <item>
      <title>GitLab 19.0 Embeds Agentic AI in Secrets, Merge Requests, and Supply Chain Security</title>
      <link>https://www.infoq.com/news/2026/06/gitlab-19-agentic-ai/?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/gitlab-19-agentic-ai/en/headerimage/header-1781418320600.jpeg"/&gt;&lt;p&gt;GitLab 19.0 extends agentic AI beyond code generation into securing credentials, reviewing and merging changes, and scanning dependencies, adding a public beta Secrets Manager, a full merge request Developer Flow, usage-based GitLab Duo billing, and generally available SBOM dependency scanning.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Application Security</category>
      <category>Continuous Delivery</category>
      <category>Continuous Integration</category>
      <category>DevSecOps</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/gitlab-19-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-06-19T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/gitlab-19-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>.NET 11 Preview 5: Brings File-Based App Improvements, New C# Features, and a Blazor Validation Wave</title>
      <link>https://www.infoq.com/news/2026/06/dotnet-11-preview-5/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Microsoft has released the fifth preview of .NET 11, with updates across the SDK, C#, ASP.NET Core, .NET MAUI, and EF Core. Highlights include file-based app improvements, new C# closed classes and unions, a Blazor validation wave, a large MAUI reliability rollup, and SQL Server 2022 as the default EF Core compatibility level.&lt;/p&gt; &lt;i&gt;By Almir Vuk&lt;/i&gt;</description>
      <category>.NET 11</category>
      <category>.NET 9</category>
      <category>.NET</category>
      <category>ASP.NET Core</category>
      <category>.NET Core</category>
      <category>.NET 10</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/dotnet-11-preview-5/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Almir Vuk</dc:creator>
      <dc:date>2026-06-19T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/dotnet-11-preview-5/en</dc:identifier>
    </item>
    <item>
      <title>From Camera to Cloud: Netflix’s Scalable Media Processing Pipeline</title>
      <link>https://www.infoq.com/news/2026/06/netflix-camera-file-processing/?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/netflix-camera-file-processing/en/headerimage/generatedHeaderImage-1780195416361.jpg"/&gt;&lt;p&gt;Netflix has detailed a cloud-based system for scaling camera file processing across global film and TV workflows. The pipeline handles ingest, validation, metadata extraction, and media transformation at scale using FilmLight API and distributed compute. It standardizes workflows across editorial, VFX, and color pipelines, improving consistency and reducing manual handling across productions.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Orchestration</category>
      <category>Batch Processing</category>
      <category>Pipeline as Code</category>
      <category>Streaming Video</category>
      <category>Media</category>
      <category>Automation in the Cloud and Management at Scale</category>
      <category>Video Codec</category>
      <category>Scaling</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 18 Jun 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/netflix-camera-file-processing/?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>2026-06-18T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/06/netflix-camera-file-processing/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Write-Ahead Intent Log: A Foundation for Efficient CDC at Scale</title>
      <link>https://www.infoq.com/presentations/write-ahead-intent-log/?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/write-ahead-intent-log/en/mediumimage/vinay-chella-akshat-goel-medium-1781177310280.jpg"/&gt;&lt;p&gt;Vinay Chella and Akshat Goel discuss the challenges of running traditional CDC across heterogeneous databases during peak order traffic. They explain how Debezium hit limits under high load and share how they built Write-Ahead Intent Log (WAIL) - a custom architecture that utilizes a dumb producer proxy and a smart consumer pattern to cleanly separate the intent from the state payload.&lt;/p&gt; &lt;i&gt;By Vinay Chella, Akshat Goel&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Data Access</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 18 Jun 2026 13:13:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/write-ahead-intent-log/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Vinay Chella, Akshat Goel</dc:creator>
      <dc:date>2026-06-18T13:13:00Z</dc:date>
      <dc:identifier>/presentations/write-ahead-intent-log/en</dc:identifier>
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