Google Cloud Platform Technology Nuggets — April 1–15, 2022 Edition
Welcome to the April 1–15, 2022 edition of Google Cloud Technology Nuggets.
Cloud Data Summit
Cloud Data Summit ’22 is over with key announcements around multiple offerings. The sessions are available on-demand and to help navigate it, try out this blog post that highlights Top 5 takeaways from the Cloud Data Summit.
With Google’s approach to unify the Data and AI offerings, check out this post that highlights how the services work together in a unified way along with key announcements from the Cloud Data Summit.
Google Cloud is committed to its sustainability goal of operating entirely on carbon-free energy (CFE), around the clock at all their data centers and offices worldwide, by 2030.. Check out the policy roadmap for 24/7 carbon-free energy.
If you are a baseball and data analytics fan, it cannot get better than this. Imagine the following data: MLB collects 25 million unique data points from each of its 2,430 regular season games, with the goal to use this data for improving the players game and importantly, the fan experience too.
Check out the post on how this data is captured and processed by Google Cloud and what the future holds for this platform.
Security is probably one of the most important discussions, when it comes to Enterprises adopting the cloud. We have come a long way since the early models around how the Cloud enhances the security posture for an organization. Check out this post that highlights the current challenges, how enterprises can address multiple risks, shared responsibility and more, to help keep their data secure.
Google Cloud External Key Manager (Cloud EKM) , which lets you protect your cloud data with encryption keys that are stored and managed in a third-party key management system outside Google Cloud’s infrastructure, has seen some key updates. These range from EKM over VPC, support for asymmetric keys and more, along with a best practices guide for Cloud EKM.
DevOps and SRE
Google has published the definitive guides on SRE but if you are looking for different format, the SRE team has launched the aptly titled “Google SRE Prodcast”, an interview-style podcast where Site Reliability Engineers at Google discuss key SRE concepts and share their experiences, advice, and strong opinions along the way. Go directly to https://sre.google/prodcast/ and hear the first 2 episodes: SRE Philosophy and Customer-Centric Monitoring.
One of the top announcements has been BigLake, a storage engine that unifies data warehouses and data lakes. Check out the details.
Serverless Spark offering got a boost with the ability to now serverless interactive development through Jupyter notebooks, natively integrated with Vertex AI Workbench. Not just that but it is available natively in BigQuery, Vertex AI, Dataplex, and Dataproc.
Dataproc is now available in GA on Google Kubernetes Engine (GKE). This helps you leverage k8s to manage and optimize your compute platforms.
There have been multiple announcements on the Databases front:
- Cloud SQL now supports in-place upgrades for PostgreSQL and SQL Server in preview.
- There is a brand new professional certification titled “Professional Cloud Database Engineer” available in beta.
- Announcement of Database Migration program, approach to migrating existing open source and proprietary databases, whether on-premises or in the cloud, to Google Cloud’s databases.
- Database Migration Service support for Oracle to PostgreSQL schema and data migrations, is available in preview.
- Cloud SQL Insights for MySQL is now available in preview. Previously it was available for PostgreSQL only.
Do check out a new series that aims to be the definitive guide to Google Cloud Databases. The first part of the series is out and it addresses Data modeling basics.
Here is a solid blog post that describes how Lending Document AI comes together to build out a solution that can extract information from tax forms, store that data for analysis/review and then help to generate a tax filing document. While this example is focused on US specific tax forms, it opens up possibilities for the future, where more regional document formats across various industries could be integrated. The post includes step by step instructions to get the demo setup.
Speech Technology has made possible multiple applications that enable a more natural interface for using applications. Google Cloud Speech Technology , as part of its Machine Learning APIs that work off predefined models, can help enable a range of applications. Check out the Google Cloud Speech AI Guide, that highlights multiple speech applications ranging from translation, captioning, natural language processing and more.
Optimization AI and its first feature: Cloud Fleet Routing (CFR) API, is now available in GA. The goal of CFR is to aid vehicle fleet operators to create accurate fleet-wide routing plans at scale. Check out the post for more details.
Serverless App Development
Looking to bring your hobby idea to the world? Which services in Google Cloud can help you deploy your application and do the heavy lifting when it comes to scaling? Check out this article that demonstrates how to build a Coloring Page Generator. It is a great step by step tutorial that you can employ for your applications.
If you are using our Serverless Platforms like Cloud Run, Cloud Functions and App Engine, you often have to integrate with our APIs. The APIs can be split up into Google Cloud APIs and non-Cloud APIs. The first part of this blog series covers how you can use product client libraries to invoke Google Cloud APIs.
Google App Engine and Cloud Functions have added new language runtime support and this is excellent news for developers, who are looking to move to newer versions of the language runtimes and make use of new language features. To state from the article:
- Access to App Engine legacy bundled services for Java 11/17, Python 3 and Go 1.12+ runtimes, is Generally Available.
- The Java 17, Ruby 3.0, Python 3.10, and PHP 8.1 runtimes come into preview in App Engine and Cloud Functions
Check out the blog post for more language specific runtime details since some aspects of it are in General Availability (GA) and others in Preview mode.
Let’s learn about GCP
While we have covered this before, it is worth repeating that if you are looking to learn more about Google Cloud and particularly via a featured learning paths, do check out Cloud Skills Boost program, which provides a 30-day no-cost access to the paths. If you are responsible for getting your teams equipped with Google Cloud Skills, check out the Google Cloud Training for teams, to get an assessment going first and then pick a path that’s best.
Download a whitepaper that Google Cloud commissioned with IDC to understand the impact of comprehensive training and certification on cloud adoption.
If you are looking for On-demand training for Google Workspace suite of products, check out this blog post that provides details on various products and training available at both beginner and advanced levels.
Finally and interestingly, one of the under-appreciated roles in what makes the cloud possible in its true global sense, is the crucial role played by subsea cables. Check out this deep dive titled “Google’s Subsea fibre optics explained”. Check out the accompanying video too.
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