<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet href="https://blog.fnil.net/feed_style.xsl" type="text/xsl"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
    <tabi:metadata xmlns:tabi="https://github.com/welpo/tabi">
        <tabi:base_url>https:&#x2F;&#x2F;blog.fnil.net</tabi:base_url>
        <tabi:separator>
            •
        </tabi:separator>
        <tabi:about_feeds>This is a web feed, also known as an Atom feed. Subscribe by copying the URL from the address bar into your newsreader. Visit About Feeds to learn more and get started. It&#x27;s free.</tabi:about_feeds>
        <tabi:visit_the_site>Visit website</tabi:visit_the_site>
        <tabi:recent_posts>Recent posts</tabi:recent_posts>
        <tabi:last_updated_on>Updated on $DATE</tabi:last_updated_on>
        <tabi:default_theme></tabi:default_theme>
        <tabi:post_listing_date>date</tabi:post_listing_date>
        <tabi:current_section>Datadog</tabi:current_section>
    </tabi:metadata><title>Think and Act as One - Datadog</title>
        <subtitle>CEO &amp; Founder of Greptime. Writing about systems, distributed computing, AI &amp; Programming.</subtitle>
    <link href="https://blog.fnil.net/tags/datadog/atom.xml" rel="self" type="application/atom+xml"/>
    <link href="https://blog.fnil.net/tags/datadog/" rel="alternate" type="text/html"/>
    <generator uri="https://www.getzola.org/">Zola</generator><updated>2026-05-31T00:00:00+00:00</updated><id>https://blog.fnil.net/tags/datadog/atom.xml</id><entry xml:lang="en">
        <title>When Systems Turn Uncertain: How Datadog Sees Observability in the AI Era</title>
        <published>2026-05-31T00:00:00+00:00</published>
        <updated>2026-05-31T00:00:00+00:00</updated>
        <author>
            <name>Dennis Zhuang</name>
        </author>
        <link rel="alternate" href="https://blog.fnil.net/datadog-ai-observability/" type="text/html"/>
        <id>https://blog.fnil.net/datadog-ai-observability/</id>
        <summary type="html">Datadog&#x27;s Investor Day deck quietly redefines observability: the object of observation turns probabilistic, AI agents become operators, and the reader of the data shifts from human to model.</summary>
        </entry>
</feed>
