<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gcp on Layer5 Documentation</title><link>/tags/gcp/</link><description>Recent content in Gcp on Layer5 Documentation</description><generator>Hugo</generator><language>en</language><atom:link href="/tags/gcp/index.xml" rel="self" type="application/rss+xml"/><item><title>Build a GCP Data Pipeline Design</title><link>/kanvas/tutorials/data-pipeline-gcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/kanvas/tutorials/data-pipeline-gcp/</guid><description>&lt;p&gt;In this tutorial you follow Zara Osei, Team Admin of the Orbital Labs Infrastructure Team, as she models the team&amp;rsquo;s Google Cloud data pipeline in Kanvas. The pipeline ingests events through Pub/Sub, processes them with Dataflow, writes analytical results to BigQuery, archives raw payloads to Cloud Storage, and runs alongside a GKE cluster. The result is a design named &lt;code&gt;data-pipeline-gcp&lt;/code&gt;: a reviewable, shareable model of the architecture that lives in the team&amp;rsquo;s workspace instead of in a slide deck.&lt;/p&gt;</description></item></channel></rss>