Google Cloud Platform Podcast

Today our guest star host, Brian Dorsey,

Andy Oxfeld, Engineering Manager at Humble Bundle, tells your hosts Francesc and Mark all the details about how Google Cloud Platform powers Humble Bundle.

Andy Oxfeld manages the engineering department at Humble Bundle. He's been with the company for four years and worked on almost every part of our codebase at some point. Prior to being at Humble Bundle, he worked at Electronic Arts for four years on games such as Warhammer Online: Age of Reckoning.

• An independent organization just ranked Google as the best cloud, beating Amazon news

• Humble Bundle has raised over $70 Million for charity.
• App Engine to handle spiky traffic.
• Codebase written in Python.
• Google Cloud Datastore to store data.
• Task Queues to be able to retry tasks (payments) and to schedule events.
• Memcache to reduce latency and increase throughput.
• Dedicated Memcache for heavy users and more predictable performance.
• Best Practices for App Engine Memcache article.
• Datastore Backups into a Cloud Storage bucket.
• BigQuery to analyze huge datasets in seconds.
• Using only managed services removes their need for DevOps team.
• Google Cloud Storage to store static images.
• Stackdriver for monitoring and alerts.
• PubNub for real time communication - we also discuss Channels API and Firebase.
• Join Humble Bundle and work with Google Cloud Platform!

Kubernetes 1.2 doesn't have a concept of schedule tasks, how do you handle them?

• Kubernetes jobs docs.
• Cron jobs on Compute Engine.
• Scheduled tasks with Cron on App Engine docs.

Andy Oxfeld, Engineering Manager at Humble Bundle,

In the twenty second episode of this podcast, your hosts Francesc and Mark interview Rae Wang, a Product Manager at Google, about IAM on the Google Cloud Platform.

Rae is a product manager at Google and looks after IAM (Identity and Access Management) on GCP. She has been at Google for 3 years and is based in the Seattle office. Before Google she worked in other software companies for over a decade.

Bonus interview with Brendan Burns, lead engineer on Kubernetes: Google's open source cluster manager for containers.

• Latte vs. Kubernetes setup - which is faster? YouTube
• Kubernetes Config Maps docs
• Adding custom resources to the Kubernetes API server docs
• Kubernetes Cluster Federation (a.k.a. "Ubernetes") docs
• Scaling neural network image classification using Kubernetes with TensorFlow Serving docs
• Episode #16, a Product Manager at Google that works amongh other projects on IAM GCPPodcast

• Google Cloud Identity & Access Management docs
• GCPNext - Identity and Access Management on Google Cloud Platform YouTube
• Google Cloud Platform Auth Guide guide
• Connecting to Other Google Cloud Platform Services guide
• Granting Access with IAM Roles guide
• OAuth 2.0 Service Accounts docs

• Google Cloud CDN docs
• Google Container Engine docs

In the twenty second episode of this podcast, your hosts

In the twenty first episode of this podcast, your hosts Francesc and Mark interview three of the engineers at Instrument, responsible for some of the amazing demos at GCP Next.

• Monitor your application errors with Stackdriver Error Reporting blog post
• Stackdriver Error Reporting docs

We interviewed three engineers working at Instrument, an independent digital creative agency in Portland, Oregon. They're on GitHub.

Take a tour of GCP Next playground on YouTube:

• Technical Director at Instrument
• Overview of "Emotobooth", "360 datacenter tour", and "Query It"
• Emotobooth tweet for the GCPPodcast hosts tweet
• Emotobooth gist with all photos and JSON data gist

• Engineer working on Emotobooth
• Cloud Vision API Face Detection tutorial
• Landmark Detection Using Google Cloud Storage docs

• Backend Developer at Instrument working on QueryIt!
• Query Plan Explanation docs

• Freebase: a community-curated database of well-known people, places, and things docs

• Google Data Center 360° Tour YouTube

How do you use variables in Deployment Manager

• Cloud Deployment Manager docs
• Passing variables to templates docs

In the twenty first episode of this podcast, your hosts

In the twentieth episode of this podcast, your hosts Francesc and Mark interview Justin Beckwith, a Product Manager at Google Cloud Platform, about how Node.js and the cloud work together.

Justin is a Product Manager, web developer, and geek dad working on the developer experience for Google App Engine. He writes code, speaks at events, and rocks out on the ukulele. Before joining Google, he filled various developer and architect roles with startups, healthcare companies, and universities.

He blogs at jbeckwith.com and twitters as @justinbeckwith.

• Google Cloud Datastore simplifies pricing, cuts cost dramatically for most use-cases blog post
• Google Cloud Datastore gets faster cross-platform API blog post

• Node.js on Google Cloud docs
• Node.js on Google App Engine goes beta blog post
• The Node.js Docker image used by Google App Engine Managed VMs repo
• Google Cloud Client Library for Node.js repo and npm
• Experimental Node.js support for Google Cloud Trace repo
• Cloud Debug support for Node.js applications repo
• Building Node.js applications on Google Cloud Platform video
• Google's officially supported Node.js client library for accessing Google APIs repo
• Run Parse-server on Google Cloud Platform docs
• NodeSource Partners with Google to Offer N|Solid as Enterprise Node.js Platform on Google Cloud Platform blog post
• Google Cloud Platform joins the Node.js foundation blog post

Michael McKenzie asks about Bigtable and how to get started.

• Research Paper on Bigtable pdf
• Bigtable samples on github
• Bigtable Quickstart on github
• cbt tool to interact with Cloud Bigtable godoc

In the twentieth episode of this podcast, your hosts

In the nineteenth episode of this podcast, your hosts Francesc and Mark interview some of the speakers at GCP Next 2016 from the conference floor.

Most videos from GCP Next 2016 are already available on YouTube.

The talks are organized in the following playlists:

• Keynotes
• Solutions Showcase Sessions
• Infrastructure & Operations Sessions
• App Development Sessions
• Data & Analytics Sessions

Mike Kavis is a VP/Principal Architect at CloudTP, and his current areas of focus are IoT, Big Data, and containers. He was part of the GCP partner panel: Learnings from real world cloud migration. Mike also wrote a very interesting article about GCP Next for Forbes.

Mike discusses how people migrate to Google Cloud Platform and how they evolve once on it.

Niels Provos is a distinguished engineer working on security/privacy at Google. He was part of the Day 2 Keynote where he discusses what Google Cloud Platform keeps your data and applications safe.

You can learn more about Google Cloud Platform security here.

Niels also talks about Project Shield which provides DDoS (Distributed Denial of Service) attack protection to independent news, human rights, and election monitoring sites for free.

Frances Perry is a a Software Engineer and a data processing infrastructure geek at Google working in the Cloud Dataflow team.

James Malone is a Product Manager and an Open Source Software advocate working in the Cloud Big Data team at Google.

They both spoke about the evolution of big data processing in the open source software world with Data Processing & OSS: The NEXT Generation.

Julia Ferraioli is a Developer Advocate for Google Cloud Platform (like Mark and I!) and she told us how to use machine learning to figure out if the object in a picture should be hugged or not.

She covers the continuum of machine learning tools on Google Cloud Platform with David Zuckerman Head of Developer Experience at wix.com during the session Build smart applications with your new superpower: cloud machine learning.

Neil Palmer is the CTO at FIS and Todd Ricker is a Principal Engineer at FIS.

Their talk covers how FIS & Google are working to build a next-generation stock market reconstruction system that aims to bring transparency to the US financial markets and drive innovation across financial services. In this video we dive into the proposed system architecture and show how products like Cloud Bigtable, Cloud Dataflow and BigQuery enable this process.

Watch their talk Analyzing market events at 34M reads/sec and 22M writes/sec with NoOps on GCP.

Romin Irani asked when to use App Engine with Go.

• Go on Google Cloud Platform docs
• Go on App Engine docs