Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't

<p>This article provides a step by step guide to one MCP server for Apache Iceberg tables, pointed at seven Iceberg REST catalogs in turn. The server offers four read-only tools,

<p>I wanted one specific piece of coverage:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Microsoft Foundry (master) ├── MCP ──&gt;

<p>This article provides a step by step look at running a Google ADK agent on Cloud Run, and serving it over the A2A protocol to callers that are not ADK.</p> <p>The code is

<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

<blockquote> <p><strong>Original Japanese article</strong>: <a href="https://zenn.dev/penginpenguin/articles/28aa29c2f9fbeb" rel="noopener noreferrer">Apache

<ul> <li>GitHub repository: <a href="https://github.com/gezilinll/agent-grove" rel="noopener noreferrer">https://github.com/gezilinll/agent-grove</a> </li> <li>Online

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer