Google Cloud Platform Newsletter

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News

Google Cloud using P4Runtime to build smart networks - Google Cloud is looking to P4Runtime as the foundation for next generation of data centers and build the larger, higher performance and smarter networks.

Expanding our cloud network for a faster, more reliable experience between Australia and Southeast Asia - These cable investments provide improved connectivity to GCP’s five cloud regions across Asia and Australia.

New ways to manage and automate your Stackdriver alerting policies - Beta release of new endpoints in the Stackdriver Monitoring v3 API to manage alerting policies and notification channels.

Launching Cloud Functions for Firebase v1.0 - Release version 1.0 of the Cloud Functions for Firebase SDK.

Introducing VPC Flow Logs—network transparency in near real-time - With VPC Flow Logs, you can achieve increasing transparency into your network and allowing you to track network flows all the way down to an individual virtual interface, in near-real-time.

Now, you can deploy to Kubernetes Engine from GitLab with a few clicks - GitLab and Google Cloud have announced a new integration of GitLab and Kubernetes Engine that makes it easy for you to accelerate your application deployments by provisioning Kubernetes clusters from your DevOps pipeline supported by GitLab.

Serving real-time scikit-learn and XGBoost predictions - Scikit-learn and XGBoost models on Cloud Machine Learning Engine (ML Engine) is now in beta.

Articles, Tutorials

Viewing trace spans and request logs in multi-project deployments - Stackdriver Trace, tool for analyzing latency data from your applications, can now visualize traces and logs for requests that cross multiple projects, all in a single waterfall chart.

Stretching Elastic’s capabilities with historical analysis, backups, and cross-cloud monitoring on Google Cloud Platform - Elastic Cloud on GCP lets you deploy and manage a secure cluster running on Google infrastructure with the latest version of Elasticsearch and Kibana.

Using BigDL for deep learning with Apache Spark and Google Cloud Dataproc - BigDL, a distributed deep learning library can be used to write deep learning applications as standard Spark programs in either Scala or Python and directly run them on top of Cloud Dataproc clusters.

Give meaning to 100 billion analytics events a day - Orchestrate Kafka, Dataflow and BigQuery together to ingest and transform a large stream of events.

Stackdriver Custom Metrics in Python - Stackdriver Custom Metrics in Python with example of how to use it in Node.js.

Oracle data to Google BigQuery using Google Cloud Dataflow and Dataprep - Load gigabytes or terabytes of data from Oracle into BigQuery using Google Cloud Dataflow and Dataprep relatively easy and very efficiently.

Analyzing Twitter Location Data with Heron, Machine Learning, Google’s NLP, and BigQuery - Using different products from Google Cloud Platform to get insights from Twitter data.

Entity Analysis using Google Cloud Natural Language API - Tutorial on how to do Entity Analysis using Google Cloud Natural Language API.

Modern Distributed Application Deployment with Kubernetes and MongoDB Atlas - MongoDB Atlas and Kubernetes can be leveraged together to simplify the process of deploying and managing applications and their underlying dependencies.

Cloudprober: gRPC Probes & Kubernetes - This post describes challenges of deploying Cloudprober to Kubernetes and solution.

Google Compute Engine — exploded view of the create instance dialog - Exploded view of create dialog for Google Compute Engine.

Exploring container security: Node and container operating systems - With containers, security is two folds with OS at node and container level.

Fixing the Subpath Volume Vulnerability in Kubernetes - The vulnerability that allowed "container to access any file available on the host, including volumes for other containers that it should not have access to" has been fixed and released in the latest Kubernetes patch releases.

How to run Windows Containers on Compute Engine - Microsoft introduced support for Windows-based containers in Windows Server 2016 and Windows 10. With this, you can now take an existing Windows application, containerize it using Docker, and run it as an isolated container on Windows.

Scaling on Google App Engine - How to scale Google App Engine and keeping cost under control.

Deploying your Go app on Google App Engine - Tutorial on how to deploy a Go app to both the GCP App Engine Standard and Flexible Environments.

Oro: How GCP smoothed our path to PCI DSS compliance - GCP makes it easy to achieve PCI DSS compliance.

Why and how GitLab abandoned Microsoft Azure for Google Cloud - Insight about Gitlab migration from Azure to Google Cloud.

Slides, Videos, Audio

#121 Kontributing to Kubernetes with Paris Pittman and Garrett Rodrigues

Cloud Functions & CPU optimization - Cloud Function and CPU performance

Migrating Kubernetes Workloads to Different Machine Types on Google Cloud - Upgrading Machine types on kubernetes cluster nodes can be achieved easily.