Google Cloud Platform Newsletter

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Over time, things can become complex in cloud projects. Check in this issue how Google wants to simplify some things.

News

Introducing container-native load balancing on Google Kubernetes Engine - Google Cloud Platform (GCP) now offers container-native load balancing for applications running on Google Kubernetes Engine (GKE) and Kubernetes on Compute Engine.

Develop and deploy apps more easily with Cloud Spanner and Cloud Bigtable updates - The general availability of two important new features for two of GCP's cloud-native database offerings: Cloud Spanner and Cloud Bigtable.

Gain insights about your GCP resources with asset inventory - Asset inventory is now available in beta. With asset inventory, you get an org-wide snapshot of your inventory for a wide variety of GCP resources and policies with a single API call.

Simplifying cloud networking for enterprises: announcing Cloud NAT and more - Several additions to Google Cloud Platform networking portfolio with Cloud NAT and more.

Simplifying identity and access management for more businesses - Introduction of three new ways extending Cloud Identity and context-aware access capabilities.

Store it, analyze it, back it up: Cloud Storage updates bring new replication options - Cloud Storage updates that give you even more control over how and where your data is stored.

Accelerate with APIs: Apigee API monitoring, extensions and hosted targets now generally available - General availability (GA) of several new Apigee capabilities designed to help enterprises unlock the value of their data and deliver modern applications.

Building a more reliable infrastructure with new Stackdriver tools and partners - Alpha availability of Stackdriver Incident Response and Management (IRM) on Google Cloud Platform.

BigQuery arrives in the London region, with more regions to come - Rollout of new regions for BigQuery starting with London, with more regions to follow in the coming months.

What’s happening in BigQuery: a new ingest format, data type updates, ML, and query scheduling - New features in beta, including query scheduling, new BigQuery ML models and functions, and geospatial types and queries.

Articles, Tutorials

Google GKE vs Microsoft AKS vs Amazon EKS - Comparison of different hosted Kubernetes solutions.

Watch and learn: Kubernetes and GKE for developers - Curated list of presentations that Google’s own developers have marked as their favorites, to help you get up to speed on Kubernetes, fast.

Serverless in action: building a simple backend with Cloud Firestore and Cloud Functions - How Qlouder, a Google Cloud partner approach building simple applications using Cloud Firestore and Cloud Functions.

How I used Google Cloud Platform to start investing in stocks - Personal project which consists of fetching and processing data from stocks.

GitLab CI/CD — Deploy to two different AppEngine instances and projects - Build a deployment pipeline in such a way that the latest code is deployed to two different AppEngine instances across different project.

Migrating Postgres to Google Cloud SQL - Migration steps from Heroku Postgres to Cloud SQL.

Accurately calculate sizes of Google Cloud Storage Buckets over time and graph it using Cloud Studio - Article explains how to monitor how much data is stored in Google Cloud Storage buckets.

How Traveloka built a Data Provisioning API on a BigQuery-based microservice architecture - Building a Data Provisioning API on a BigQuery-based microservice architecture.

Benchmarking Google BigQuery at Scale - Benchmarking against BigQuery and migrating Data Warehouse to BigQuery on Google Cloud.

How BigQuery GIS scales up your geospatial projects - Overview of BigQuery GIS

AI in motion: designing a simple system to see, understand, and react in the real world (Part II) - Gathering data, selecting and training models for an AI in motion project.

Crowdsourcing ML training data with the AutoML API and Firebase - How to built an ML pipeline that gathers labeled, crowdsourced training data, uploads it to an AutoML dataset, and then trains a model.

Google Colab provides free access to GPUs and TPUs. - Using Develop deep learning applications on this free GPU/TPU.

Getting the Most Out of Your Google Colab - Go over the flow for Google Colab.

What's up with GitLab.com? Check out the latest data on its stability - How stability of Gitlab services improved after migration from Azure to Google Cloud Platform.

How METRO AG is migrating its SAP finance systems to Google Cloud - How METRO AG is migrating 100 different SAP instances into one SAP S/4HANA system—innovating on SAP Cloud Platform with the help of GCP.

I’m Leaving Google — Here’s the Real Deal Behind Google Cloud - Introspection of years working on Google Cloud Platform.

Why Firebase sucks - Description of not good experience with stability of Firebase services.

Slides, Videos, Audio

GCP Podcast - #150 Strange Loop, Remote Working, & Distributed Systems with KF

Kubernetes Podcast - #24 Spinnaker, with Steven Kim

Full Stack Kotlin on Google Cloud! by Brent Shaffer