Google Cloud Platform Technology Nuggets — May 1–15, 2022 Edition

Welcome to the May 1–15, 2022 edition of Google Cloud Technology Nuggets.


Google I/O ’22 , our annual developer conference was held last week on May 11–12 and the Cloud track saw increased participation and some key announcements.

All the key announcements, breakout technical sessions and workshops are now made available for you to take a look at. Check out this comprehensive blog post that covers it in great detail.

For the practitioners, check out this interesting post that covers the Cloud PA Keynote in demo form.

Cloud Summits

There are multiple Cloud Summits occuring in the next few weeks and here are a few to keep a track of:

  • Security Summit | May 17, 2022 (Your session guide is here)
  • Startup Summit | June 2, 2022
  • Applied ML Summit | June 9, 2022
  • Sustainability Summit | June 28, 2022

Bookmark the Cloud Summits website, so that you are constantly updated on any upcoming summit. This site would be frequently updated.


Mosquitoes are one of the most dangerous creatures on Earth and are responsible for millions of people getting affected with the diseases that they help spread. S C Johnson — a leading pharmaceutical major teamed up with Google Cloud, built a system to understand mosquito concentrations. The result is ​​OFF!®, a new publicly available, predictive model of when and where mosquito populations are emerging nationwide.

The model is currently available for the US region, with Brazil and Mexico in the near future. Check out this blog post that goes into details on how they built it.


Software Supply Chain security is an area that is seeing significant traction and is essential now to assuring that the dependencies that we build our application artifacts with, have been attested as safe to integrate.

The Open Source Insights project scans millions of open-source packages from the npm, Go, Maven, PyPI, and Cargo ecosystems, computes their dependency graphs, and annotates those graphs with security advisories, license information, popularity metrics, and other metadata.

Google Cloud has now made available a BigQuery dataset, where you can explore and analyze the dependencies, advisories, ownership, license and other metadata of open-source packages across supported ecosystems, and how this metadata has changed over time. Check the blog post for more details.

DevOps and SRE

One of the key challenges as you adopt SRE in your organization, is setting up realistic SLOs. Are they achievable? Do we even know what we should be setting the values to ? Should we just depend on historical data to guide us ? Is there a model that we can use to assess the potential risks and understand what should be realistic targets?

Take a look at this blog post on how to analyze the risks via a Risk Assessment framework that looks at the impact these risks will have on your MTTD, MTTR and more. There is a Google sheet template for you to use and perform this assessment.

Machine Learning

Cloud TPU VMs are now Generally Available. Check out the blog post for more details on what makes them unique, what additional features have been released and how Customer Snap uses them.

At Google I/O ’22 , Google announced one of the fastest, most efficient, and most sustainable ML infrastructure hubs in the world. The hub is powered by Cloud TPU v4 Pods and provides this computing power while operating at 90% carbon-free energy. Check out the blog post for more details.

Google Cloud Applied ML Summit is happening on June 9. Do register for that to learn more about the tools and how customers are building innovative solutions on top of that.

Databases and Analytics

We have lots of announcements in this space in this newsletter.

One of the biggest announcements in recent times was the one on AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database service that provides a powerful option for modernizing your most demanding enterprise database workloads. In performance testing, it performed more than 4x faster on transactional workloads, and up to 100x faster analytical queries than standard PostgreSQL.

If you would like to give a spin (AlloyDB for PostgreSQL is available in Preview), visit to get started and create your first cluster. If you are interested in a Technical Deep dive , check out this blog post that discusses how it was architected and details on life of a read / write operation, etc.

The second story to highlight is that of how you can put together a Data Analytics solution to address the problem of food waste. The premise is that the journey of a produce from farm to the store to eventually the consumer should be efficient and give ample time for the food to remain fresh. The journey is complex with supply chain challenges and more. Check out a solution that demonstrates how you can put Google Cloud Data Engineering Tools to use to minimize food waste and maximize revenue by selling as much perishable fresh food as possible before the sell by date.

In our next story, we now have a Preview of BigQuery Remote Functions available. Remote Functions are user-defined functions (UDF) that let you extend BigQuery SQL with your own custom code, written and hosted in Cloud Functions

As the blog post states “A remote UDF accepts columns from BigQuery as input, performs actions on that input using a Cloud Function, and returns the result of those actions as a value in the query result. With Remote Functions, you can now write custom SQL functions in Node.js, Python, Go, Java, NET, Ruby, or PHP. This ability means you can personalize BigQuery for your company, leverage the same management and permission models without having to manage a server.”

The series on “Definitive Guide to Databases on Google Cloud” continues with Part 2, with a look at different database options available on Google Cloud.

Check out Part 1 too, if you have missed the first part on Database Modeling basics.

Let’s learn about Google Cloud

We have an update for Google Cloud Technical Guides for Startups series. The series targets startups and how they can look to address three typical stages of their growth : Start, Build and Grow.

The Start Series was published recently (entire playlist here) and the Build series has now kicked off.

The Build Series focuses on optimizing deployments and scaling your business. Check out the website and the full playlist on the Google Cloud Tech channel.

Stay in Touch

Have questions, comments, or other feedback on this newsletter? Please send Feedback.

Looking to keep a tab on new Google Cloud product announcements? We have a handy page that you should bookmark → What’s new with Google Cloud.



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Romin Irani

Romin Irani

My passion is to help developers succeed. ¯\_(ツ)_/¯