Google Cloud Platform Podcast

Aja Hammerly, Developer Advocate for Google Cloud, discusses with your cohosts Francesc and Mark what monitoring is and how Stackdriver makes it easy on Google Cloud, other cloud providers, and even on premise.

Aja lives in Seattle where she is a developer advocate at Google and a member of the Seattle Ruby Brigade. Her favorite languages are Ruby and Prolog. She also loves working with large piles of data. In her free time she enjoys skiing, cooking, knitting, and long coding sessions on the beach.

• Kubernetes moves onwards and upwards
• Kubernetes 1.3 on tap for Google Container Engine
• Scalable Microservices with Kubernetes - Udacity

• Stackdriver Monitoring Documentation
• Stackdriver
• Introducing Google Stackdriver: unified monitoring and logging for GCP and AWS
• Using metrics
• Stackdriver pricing
• Uptime checks
• Six things Stackdriver brings to the DevOps table

• How to keep data in sync while limiting bandwidth? gsutil rsync

Mathias Meyer, CEO of Travis CI, discusses with your cohosts Francesc and Mark what are Continuous Integration and Deployment, and how Travis CI makes them easy and accessible to all.

Did you know Travis CI ran on Google Cloud Platform?

Mathias Meyer is the CEO and core member of the team running Travis CI, a hosted continuous integration and deployment platform, and the author of the Riak Handbook. His interests include coffee, photography, studies of human error and distributed systems.

• GitHub Making open source data more available blog post
• GitHub on BigQuery: Analyze all the code blog post
• All the open source code in GitHub now shared within BigQuery: Analyze all the code! medium
• Analyzing Go code with BigQuery medium

• Travis CI homepage
• Continuous Integration wikipedia
• Extreme Programming: A Gentle Introduction page
• Free Travis CI for Open Source travis-ci.org
• Google Compute Engine to run builds docs
• Google Cloud Storage to cache images docs

Travis the Tractor, from Bob the Builder.

• Where do I go if I want to get involved with specific parts of the Kubernetes community? Kubernetes Special Interest Groups

Francesc will be in GopherCon next week, not this one. Clearly he doesn't know how calendars work.

Mathias Meyer, CEO of Travis CI,

Did you know Travis CI ran on Google Cloud Platform?

Emily Melhuish and Lester Litchfield share with your cohosts Francesc and Mark how Trade Me, the second most visited page in New Zealand, integrates Google Analytics and BigQuery to understand their traffic and provide statistics to their users.

Emily Melhuish is an Electrical Engineering student by day and a software developer by night. She works at Trade Me as a Full Stack developer in between studying at the University of Auckland where she learns how to blow circuits up. At Trade Me, her latest project was one surrounding Big Data and how to make the website data useful for their clients. They use Google Tag Manager with Google Analytics and BigQuery to provide business insights to our customers, these include real estate agents and car dealers. Her work was for car dealers.

Lester Litchfield is a data scientist and web analyst for Trade Me with a background in Marketing. He's responsible for implementing Google Tag Manager and Google Analytics 360 across their sites and apps, and using that data to tell the story of how their users behave. He uses BigQuery most weeks to answer tough questions, and for AB testing. He's also exploring Google Cloud Platform for text analysis, image analysis and machine learning applications.

• Custom encoding: Go implementation in net/rpc vs grpc and why we switched post
• The Illustrated Children's Guide to Kubernetes adorable

• Trade Me homepage
• Google Analytics docs
• Google Analytics 360 docs
• Google Tag Manager docs
• BigQuery docs

• Three Simple Steps to Save Costs when Prototyping with App Engine Flexible Environment medium

Emily Melhuish and Lester Litchfield

Eli Bixby, Developer Programs Engineer at Google, tells your cohosts Francesc and Mark all about TensorFlow and its applications. Do you want to know what neural networks are? Why does TensorFlow exists? How to get started with it? We cover that and more in our thirsty first episode.

Eli is a Developer Programs Engineer at Google. He joined in 2014 and currently develops on Google Cloud Platform's machine learning and big data offerings, Tensorflow in particular. Eli is an all-purpose nerd, having dabbled in several research areas, including biophysics, algorithmic game theory, and computational biology, before a recent dive into machine learning.

• New Google Cloud Platform Education Grants offer free credits to students announcement

• TensorFlow homepage

• Artificial Neural Network wikipedia
• Tensors wikipedia
• Google supercharges machine learning tasks with TPU custom chip blog
• TensorFlow Serving GitHub
• Diving into Machine Learning through TensorFlow - PyCon 2016 video
• TensorFlow workshop materials GitHub
• TensorFlow tutorials docs
• Generative Adversarial Networks research paper
• DCGAN in Tensorflow GitHub

• Offline Media Import to Google Cloud Storage docs
• Google Cloud Interconnect docs

Eli Bixby, Developer Programs Engineer at Google, tells your cohosts

Analytics is an essential part of many platforms, but it is specially important for gaming. Today we discuss how Google Cloud makes analytics simpler and super powerful. Kir Titievsky from Google Cloud Pub/Sub, Eric Anderson from Google Cloud Dataflow, and Tino Tereshko from Google BigQuery will tell your co-hosts Francesc and Mark how those three products get together to power an amazing analytics solution for gaming.

Kir Titievsky is product manager on Google Cloud Pub/Sub which helps users build analytics pipelines & integrate services, massive and small. He has come to GCP after building mobile enterprise apps for Googlers as well as products for advertising & media agencies at DoubleClick. Before Google, Kir designed advertising recommendation engines as a data scientist. Kir once took a detour to get a PhD in Chemical Engineering from MIT.

Eric Anderson is a product manager on Dataflow, a stream and batch data processing service. Before Dataflow, he started a growth analytics team in Google Cloud. Previously he worked at AWS and GE. Eric holds an engineering degree from the University of Utah and MBA from Harvard.

Tino Tereshko is a Technical Program Manager for BigQuery, the world's only serverless analytics Data Warehouse. Before joining the BigQuery team, Tino worked with strategic cloud customers as a Solutions Architect. Prior to Google, Tino worked in stream processing, financial analytics, and even spent some time as a quant developer.

• BigQuery 1.11, now with Standard SQL, IAM, and partitioned tables! post

• Building a Mobile Gaming Analytics Platform - a Reference Architecture docs

• Google Cloud Pub/Sub docs
• Google Cloud Dataflow docs
• Google BigQuery docs
• ETL: Extract, transform, load Wikipedia
• Apache Beam Project docs
• MapReduce: Simplified Data Processing on Large Clusters research paper
• The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing research paper
• Pushing the Limits of BigQuery video

• Google BigQuery Public Datasets docs
• The first TB is free! pricing

Analytics is an essential part of many platforms, but it is specially important for gaming.

Fresh off the press from Google I/O 2016, Francesc and Mark talk to Abe Haskins and Doug Stevenson about all the new features and improvements that have recently been announced for Firebase!

Abe is a Developer Programs Engineer on the Firebase team who works closely with the Database team and contributes to many of Firebase's open-source projects.

Doug is Developer Advocate on the Firebase team, Android development specialist, and works very closely with the Crash Reporting and Test Lab components of Firebase.

• Introducing Google Container Engine (GKE) node pools post

• Firebase site
• Firebase Realtime Database docs
• Adding Firebase to your C++ Project docs
• Firebase Analytics docs
• Firebase Remote Config docs
• Firebase Authentication docs
• Firebase Cloud Messaging docs
• Firebase Notifications docs
• Firebase Test Lab for Android docs
• Firebase Crash Reporting docs
• Firebase Storage docs
• Google Cloud Storage docs
• Firebase YouTube Playlist videos

• StackDriver Monitoring docs
• StackDriver Logging docs
• StackDriver Error Reporting docs
• StackDriver Debugging docs
• StackDriver Trace docs
• Google Cloud Intellij Plugin (ALPHA!) github
• Diagnostics - Spend less time diagnosing and more time developing video