https://ai-blog.noorshomelab.dev/tags/cloud-run/Recent content in Cloud Run on AI VOIDHugoenSat, 23 May 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/adk-persistent-agents-2026/deploying-monitoring-adk/Sat, 23 May 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/adk-persistent-agents-2026/deploying-monitoring-adk/<p>This chapter marks a critical transition: moving your sophisticated, context-aware ADK agent from a local development environment to a production-grade cloud platform. We&rsquo;ll focus on deploying the containerized agent built in the previous chapter to Google Cloud Run, a fully managed serverless platform. Beyond deployment, we&rsquo;ll establish essential operational capabilities, including secure secret management, robust logging, and foundational monitoring.</p> <p>By the end of this chapter, you will have a live, accessible ADK agent running on Google Cloud, capable of persisting its state and conversational context, ready to serve users reliably. This milestone is about making your agent resilient, scalable, and observable in a real-world environment.</p>https://ai-blog.noorshomelab.dev/projects/google-adk-persistent-agents-guide/Sat, 23 May 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/projects/google-adk-persistent-agents-guide/<h2 id="building-persistent-ai-agents-with-google-adk-pause-resume-recover">Building Persistent AI Agents with Google ADK: Pause, Resume, Recover</h2> <p>Imagine an AI agent assisting a customer, gathering information, and then needing to pause its work—perhaps the customer needs to find a document, or the agent needs to wait for an external system. If that agent loses all memory of the conversation and its current task when it pauses, it&rsquo;s not truly helpful. This guide addresses that critical challenge: building AI agents that can maintain context and state across sessions, allowing for seamless pause, resume, and recovery from interruptions without losing valuable information.</p>