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The overwhelmed person’s guide to Google Cloud: week of March 28

April 2, 2024
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Richard Seroter

Chief Evangelist at Google Cloud

A weekly curation of the most helpful blogs, exciting new features, and useful events coming out of Google Cloud.

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New and shiny

Three new things to know this week

  • Gemini comes to Java frameworks. Want to use LangChain4j with the Gemini model? You’re in luck. We contributed support, which you can see an example of here. And the Spring Framework’s Spring AI project just added Gemini support too.
  • Deploy all the things. We previewed this a few months back, and now it’s generally available. Use Cloud Deploy’s powerful release and rollout capabilities against custom targets. Check out some sample custom targets including Terraform, Vertex AI, and GitOps.
  • Service events available on Cloud Monitoring dashboards. Cloud Monitoring dashboards can show lots of useful data points. Now that includes events like GKE pod crashes, cluster autoscaler scale up, Cloud Run deployment, Cloud SQL failover, and more. See how to add to dashboards.

Watch this

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Centralize your logs in Google Cloud. Watch this webinar replay for useful insights into aggregating logs across projects.


Community cuts

Every week I round up some of my favorite links from builders around the Google Cloud-iverse. Want to see your blog or video in the next issue? Drop Richard a line!

  • How are you automating your infrastructure? I love a good graphical UI, but management at scale requires automation. Many folks use Terraform, and Vaibhav has a good post that shows how to use Terraform modules with Google Cloud. Consider Infrastructure Manager as your Terraform runner.
  • Bring your AI model to your data in BigQuery. I like the ability to directly invoke AI models from SQL in BigQuery. Pooja walks us through the steps to bring Gemini 1.0 Pro into BigQuery.
  • Do yourself a favor and invest in a good landing zone. Once you have a good foundation in place, you’re ready to seriously grow. Darren teaches us how to get GKE running efficiently within your landing zone.

Learn and grow

Three ways to build your cloud muscles this week

  • Try an advanced Gemini feature out in minutes with Cloud Run. The “function calling” feature of Gemini can feel intimidating, but this new codelab makes it possible to try it out in minutes. It’s worth the effort!
  • Create observable Spring Boot applications. This post explains how to build gRPC-based Spring Boot microservices that produces metrics we can chart in Grafana.
  • Three ways to get specialized results from an LLM. Here’s a very helpful post that walks you through LLM options like prompt engineering, fine-tuning, and retrieval augmented generation.
  • Take the guesswork out of cloud management: AI-driven recommendations. Unlock cloud management simplicity with AI-driven Active Assist recommendations, optimizing operations, costs, and security for all experience levels, including demos showcasing Altissimo's success.

One more thing

Monkigras features some insights from Google. Dormain tweeted about Paige’s talk that explained what you can actually do with a million token input for Gemini.


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