Google Cloud Platform Newsletter

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Thank you for your support in 2018, I wish you all the best in 2019, minimum downtime, less servers, faster scaling, more data and lots of sunny days in the Cloud.

Articles, Tutorials

Building a Microservices Platform with Confluent Cloud, MongoDB Atlas, Istio, and Google Kubernetes Engine - Building a Microservices Platform using GKE, MongoDB Atlas, Istio and Confluent Cloud.

Kubernetes HPA Autoscaling with Kafka metrics - Basics of HPAs, custom, external metrics APIs working and scaling workloads based on external metrics scraped from Kafka Cluster.

Kubernetes Monitoring using InfluxDB & Grafana in Google Cloud Platform - Proof of concept for Kubernetes monitoring.

End-to-End Kubeflow tutorial using a Pytorch model in Google Cloud Platform - How to use Kubeflow to train and serve a distributed Machine Learning model with PyTorch on a Google Kubernetes Engine cluster in GCP.

7 Tips to Start Your Terraform Project the Right Way - Things to have in mind when working on Terraform project.

How to develop a serverless chatbot (for Hangouts Chat) - Series of article describing creating serverless chatbot on GCP.

Dockerizing and auto scaling Node.js on Google Cloud - How to dockerize a Node.js server for hosting in Google Cloud.

Building a Chat Bot With Image Recognition and OCR - Build Image Recognition and OCR capability for Chat Bot.

Playing with Kotlin: “You actually know everything John Doe!” - How to build a full project entirely with Kotlin with backend on App Engine & Firestore.

Google Cloud Functions Python Overview and Data Processing Example - Event driven serverless functions-as-a-service.

The hidden superpowers of Stackdriver Logging - Explore benefits of Stackdriver Logging.

React Native Firebase in 2019 - Interesting facts about React Native Firebase.

PySpark Sentiment Analysis on Google Dataproc - A Step-by-Step Tutorial on PySpark Sentiment Analysis on Google Dataproc.

BigQuery Utilities for Apache Beam - Open Sourced BigQuery Utilities for Apache Beam.

PyTorch on Google Cloud Platform - How to build a custom VM on GCP with specific PyTorch versions and CUDA support for Deep Learning.

Creating Deep Learning Models, training and deploying it on Google Cloud ML-Engine using Tensorflow Estimators - Explore Google Cloud ML-Engine to create deep learning models.

Training Deep learning models with Google Cloud ML Engine - Using Google Cloud ML Engine to train deep learning models.

Machine Learning on Google Cloud Platform — First Impressions - Pros and cons of GCP for Machine Learning in comparison with options.

A "JAR" Full of Problems for Financial Services Companies - Creators of malicious email campaign used Google Cloud Storage to store malicious files to bypass security controls.