Welcome to issue #111 November 12th, 2018

We have Cron in the Cloud (with articles demonstrating usage cases), AI Hub, test of running Kubernetes on Preemtible VMs (to save $$$) and other interesting articles.  



Cloud Scheduler Official Blog

Announcing Cloud Scheduler: a modern, managed cron service for automated batch jobs - Announcement of Cloud Scheduler, a fully managed cron job service that allows any application to invoke batch, big data and cloud infrastructure operations.

Google Kubernetes Engine Official Blog

Containerd available for beta testing in Google Kubernetes Engine - Beta launch of containerd on Container-Optimized OS for Kubernetes Engine 1.11.

Cloud Dataproc Official Blog

Customer Managed Encryption Keys (CMEK) for Dataproc is now generally available - The latest is Cloud Dataproc Customer Managed Encryption Keys (CMEK), a feature that is now generally available.

Kubernetes Official Blog TPU

Introducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses - Making AI more useful with Kubeflow Pipelines and API.

Articles, Tutorials

Networking Official Blog

Deep dive into managed TLS certs for HTTP(S) Load Balancers - A closer look at managed TLS certs, and how to use them.


QUIC and HTTPS Load Balancer - Testing QUIC (Quick UDP Internet Connections) support for HTTPS Load Balancer.

Google Cloud Platform Official Blog

Choosing your cloud app migration order - How to decide the order in which you migrate applications into the public cloud?

Google Kubernetes Engine

Get THREE times the capacity for your Kubernetes Cluster for FREE! Too good to be true? - How to get 3 times the capacity for a lower price for your Kubernetes Cluster.

Google Kubernetes Engine

Setup a Kubernetes Cluster on GCP with Cloud NAT - How to setup with a Kubernetes cluster with Cloud NAT.


Autoscaling K8s HPA with Google HTTP/S Load-Balancer RPS Stackdriver Metric - Process of setting up Horizontal Pod Autoscaler (HPA) autoscaling using any Stackdriver metric; specifically we’ll use the Request Per Second from a Google Cloud HTTP/S Load Balancer.

Cloud Storage Official Blog

HDFS vs. Cloud Storage: Pros, cons and migration tips - The pros and cons of Cloud Storage vs. HDFS.

Cloud Scheduler

A first glance at Google Cloud Scheduler - Quick insights on the new Google Cloud Scheduler service.

Cloud Functions Cloud Scheduler

Google Cloud Functions Tutorial : Using the Cloud Scheduler to trigger your functions - Using the Cloud Scheduler to trigger your Google Cloud functions.

Cloud Functions Cloud Scheduler

Serverless Scheduled Daily Data Reporting Notification Service with Google Cloud Scheduler & Cloud Functions - Build a simple notification service to setup daily scheduled data reporting using several Google Cloud Services and notification using Slack HTTP Webhook.


Migrating Firebase Cloud Functions to Node 8 - Potential issues while migrating Firebase Cloud Functions from Node 6 to Node 8.

Cloud Firestore Cloud Functions

Our path to a full serverless backend - Simple proof of concept of how to use Firestore and Cloud functions.

.NET Cloud Datastore

A beginners guide to read/write data in to Google DataStore using .NET Core 2.1 Console Application. - Guide to read/write data in to Google DataStore using .NET Core 2.1 Console Application.

App Engine Cloud Datastore

Building a Serverless Dataset and AI Model Management Tool - Building a Serverless Dataset and AI Model Management Tool on GCP Platform.

Cloud Dataflow Cloud Pub/Sub

Message Encryption with Dataflow PubSub Stream Processing - Building Google Cloud Dataflow Streaming pipeline where each pubsub messages payload data is encrypted or digitally signed.

Big Data

Building a Data Lake on GCP with CDAP - First look on Google-acquired Cask’s open source platform.

BigQuery Cloud Functions Python

Turning GA360 BigQuery exports into partitioned tables using Cloud Functions - Article describes how to create a cloud function that will copy a BigQuery GA360 data export to another BigQuery table.

Machine Learning

When should you use machine learning? — Part 1 - Articles discuss different paths of machine learning when you are standing in front of a problem.

GCP Experience Official Blog

Picture what the cloud can do: How the New York Times is using Google Cloud to find untold stories in millions of archived photos - How the New York Times is using Google Cloud to allow them to securely store their images, provide them with a better interface for finding photos, and find new insights.

GCP Experience

King: Playing to win with Google Cloud Platform - How King used BigQuery to build a cloud-based data warehousing platform that reduces its overhead costs and boosts its analytics capability with Google Cloud Machine Learning.

GCP Certification

Google Cloud Certifications: Study and PASS any of the 3 Exams - Tips and tricks for learning after passing 3 Google Cloud exams in one month.

Slides, Videos, Audio

Google Cloud Platform

GCP Podcast - #154 G Suite with Joanna Smith and Alicia Williams


Kubernetes Podcast - #28 TriggerMesh, with Sebastien Goasguen


Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18) - This talk takes you through a technical deep dive on Google's Cloud TPUs accelerators, as well as how to program them. It also covers the programming abstractions that allow you to run your models on CPUs, GPUs, and Cloud TPU, from single devices up to entire Cloud TPU pods.


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Zdenko Hrček
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Prague, Czech Republic
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Email: [email protected]