The delightful Sam Ramji (https://twitter.com/sramji) joins Mark (https://twitter.com/Neurotic) and Melanie (https://twitter.com/nyghtowl) this week

to talk about Google Cloud Platform, Open Source, Distributed Systems and Philosophy and how they are all interrelated.

Sam Ramji

A 20+ year veteran of the Silicon Valley and Seattle technology scenes, Sam Ramji (https://twitter.com/sramji) is

VP Product Management for Google Cloud Platform (GCP). He was the founding CEO of Cloud Foundry (https://www.cloudfoundry.org) Foundation,

was Chief Strategy Officer for Apigee (https://apigee.com) (APIC), designed and led Microsoft’s (https://www.microsoft.com) open source strategy, founded the

Outercurve Foundation (https://opensource.com/users/outercurve-foundation), and drove product strategy for

BEA WebLogic (https://docs.oracle.com/cd/E13222_01/wls/docs100/index.html) Integration. Previously he built distributed

systems and client software at firms including Broderbund (http://www.broderbund.com), Fair Isaac (http://www.fico.com),

and Ofoto. He is an advisor to multiple

companies including Accenture (https://www.accenture.com), Insight Engines (https://insightengines.com),

and the Linux Foundation (http://www.linuxfoundation.org), and served on the World Economic Forum’s (https://www.weforum.org)

Industrial Internet Working Group. He received his B.S. in Cognitive Science from UCSD in 1994.

Cool things of the week

* An example escalation policy — CRE life lessons blog (https://cloudplatform.googleblog.com/2018/01/an-example-escalation-policy-CRE-life-lessons.html)

* The new Google Arts & Culture, on exhibit now blog (https://blog.google/topics/arts-culture/the-new-google-arts-culture-on-exhibit/)

* Five Days of Kubernetes 1.9 blog (http://blog.kubernetes.io/2018/01/five-days-of-kubernetes-19.html)

* Kubernetes Comic site (https://cloud.google.com/kubernetes-engine/kubernetes-comic/)

Interview

* The Case for Learned Index Structures paper (https://arxiv.org/abs/1712.01208)

* CAP Theorem wikipedia (https://en.wikipedia.org/wiki/CAP_theorem)

* Databricks site (https://databricks.com)

* Spinnaker site (https://www.spinnaker.io)

* Tensor Processing Units site (https://cloud.google.com/tpu/)

* 38 Special - Hold On Loosely youtube (https://www.youtube.com/watch?v=vJtf7R_oVaw)

Question of the week

I would like to run a Google Cloud Function every day/week/hour etc - but there is no cron ability in Cloud Functions (yet?). How can I do this now?

* Functions Cron github (https://github.com/firebase/functions-cron)

Where can you find us next?

Melanie is speaking at AI Congress (https://theaicongress.com/) in London Jan 30th and she will be at FOSDEM (https://fosdem.org/2018/) in Brussels in Feb.

Mark will be at the Game Developer’s Conference | GDC (http://www.gdconf.com/) in March.(http://feeds.feedburner.com/~r/GcpPodcast/~4/6HgMrXjxu1M)

Bringing you a special second episode this week with Matt Linton and Paul Turner sharing insights with Mark (https://twitter.com/Neurotic) and Melanie (https://twitter.com/nyghtowl) about the CPU vulnerabilities, Spectre & Meltdown, and how Google coordinated and managed security with the broader community. We talked about how there has been minimal to no performance impact for GCP users and GCP’s Live Migration helped deploy patches and mitigations without requiring maintenance downtime.

Due to the special nature, no cool things or question included on this podcast.

About Matt Linton

Matt is an Incident Manager (aka Chaos Specialists) for Google, which means his team is on-call to handle suspected security incidents and other major urgent issues.

About Paul Turner

Paul is a Software Engineer specializing in operating systems, concurrency, and performance.

Interview

* Protecting our Google Cloud customers from new vulnerabilities without impacting performance blog (https://www.blog.google/topics/google-cloud/protecting-our-google-cloud-customers-new-vulnerabilities-without-impacting-performance/)

* What Google Cloud, G Suite and Chrome customers need to know about the CPU vulnerability blog (https://blog.google/topics/google-cloud/what-google-cloud-g-suite-and-chrome-customers-need-know-about-industry-wide-cpu-vulnerability/)

* Google Security Blog, Today’s CPU vulnerability: what you need to know blog (https://security.googleblog.com/2018/01/todays-cpu-vulnerability-what-you-need.html)

* ProjectZero News and Updates by Yann Horn blog (https://googleprojectzero.blogspot.com/2018/01/reading-privileged-memory-with-side.html)

* Spectre Attack paper (https://spectreattack.com/spectre.pdf)

* Meltdown Paper paper (https://meltdownattack.com/meltdown.pdf)

* Intel Security Center site (https://security-center.intel.com/advisory.aspx?intelid=INTEL-SA-00088&languageid=en-fr)

* Intel Analysis of Speculative Side Channels site (https://newsroom.intel.com/wp-content/uploads/sites/11/2018/01/Intel-Analysis-of-Speculative-Execution-Side-Channels.pdf)

* An Update on AMD Processor Security: site (http://www.amd.com/en/corporate/speculative-execution)

* ARM Processor Security Update site (https://developer.arm.com/support/security-update)

* GCP Compute Engine Live Migration docs (https://cloud.google.com/compute/docs/instances/live-migration)

* GCP Security Overview site (https://cloud.google.com/security/)

Patch your operating systems and all the things. Keep updated.(http://feeds.feedburner.com/~r/GcpPodcast/~4/j6QEvJhmKuo)

Amy Unruh (https://twitter.com/amygdala) and Sara Robinson (http://twitter.com/SRobTweets) join the podcast this week to talk with Mark (https://twitter.com/Neurotic) and Melanie (https://twitter.com/nyghtowl) about the alpha launch of Cloud AutoML Vision.

Cloud AutoML is a suite of products enabling developers with limited ML expertise to build high quality models using transfer learning and Neural Architecture Search techniques. AutoML Vision is the first product out the gate with a focus on making it easy to train customized vision models.

About Amy Unruh

Amy is a developer relations engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&D, and published a book on App Engine.

About Sara Robinson

Sara is a developer relations engineer on Google’s Cloud Platform team, focusing on big data and machine learning. She worked on providing initial product feedback and building a demo for the AutoML Vision launch.

Cool things of the week

* Google Brain Looking Back on 2017 blog (https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html)

* Shout-out to Kaz Sato (https://twitter.com/kazunori_279) for his TensorFlow Rock Paper Scissors example (https://www.blog.google/topics/machine-learning/tensorflow-lends-hand-build-rock-paper-scissors-machine/)

* Running dedicated game servers in Kubernetes Engine blog (https://cloudplatform.googleblog.com/2018/01/running-dedicated-game-servers-in-Kubernetes-Engine-tutorial.html)

* Kaggle Learn site (https://www.kaggle.com/learn/overview)

Honorable mention…

- Scientists put a worm brain in a lego robot blog (http://www.sciencealert.com/scientists-put-worm-brain-in-lego-robot-openworm-connectome)

Interview

* Cloud AutoML: Making AI accessible to every business blog (https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/)

* Cloud AutoML Vision site (https://cloud.google.com/automl/)

* Cloud AutoML Vision Access Request | Whitelist Application form (https://services.google.com/fb/forms/cloudautomlalphaprogram/)

* Cloud images example video (https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/)

* Shout-out thanks to Rob Carver (https://twitter.com/wundersooner) for domain expertise in helping label cloud images.

* Coastline images example readme (https://storage.googleapis.com/aju-demos-coastline-images/metadata/README.txt) and filenames csv (https://storage.googleapis.com/aju-vtests2-vcm/metadata/coastline_shuffled.csv)

* Using Machine Learning to Explore Neural Network Architecture blog (https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html)

* Learning Transferable Architecture for Scalable Image Recognition arXiv paper (https://arxiv.org/abs/1707.07012)

* Neural Architecture Search with Reinforcement Learning arXiv paper (https://arxiv.org/abs/1611.01578)

* Progressive Neural Architecture Search arXiv paper (https://arxiv.org/abs/1712.00559)

* Learning2learn video (https://www.safaribooksonline.com/library/view/oreilly-artificial-intelligence/9781491985250/video314918.html)

* Cloud Vision site (https://cloud.google.com/vision/) docs (https://cloud.google.com/vision/docs/)

Question of the week

How does someone in academia get GCP credits?

* Google Cloud Platform Education Grants site (https://cloud.google.com/edu/)

Where can you find us next?

Melanie is speaking at AI Congress (https://theaicongress.com/) in London Jan 30th and she will be at FOSDEM (https://fosdem.org/2018/) in Brussels in Feb.

Mark will be at the Game Developer’s Conference | GDC (http://www.gdconf.com/) in March.(http://feeds.feedburner.com/~r/GcpPodcast/~4/A6XioZiQuJk)

Launchpad Studio ((https://developers.google.com/programs/launchpad/studio/)), a product development acceleration program focused on helping machine learning startups iterate quickly, fail fast, and collaborate on best practices.

Malika Cantor (https://twitter.com/malijeanne) and Peter Norvig (http://norvig.com/) talk with Mark (https://twitter.com/Neurotic) and Melanie (https://twitter.com/nyghtowl) this week about how the Launchpad Studio program is helping startups overcome data, expertise and tooling barriers by providing access to talent and resources and building universal best practices.

About Malika Cantor

Malika is the Global Lead for Google Launchpad Studio. Launchpad is the acceleration engine of Google - running a number of accelerator programs focused on supporting the global startup ecosystem. Prior to joining Google, Malika was a co-founder and partner at Comet Labs, a venture capital firm and experimental research lab focused on investing and supporting applied AI startups. She has worked with founders for around 6 years, in London, Beijing, Singapore, Toronto, and Silicon Valley.

About Peter Norvig

Peter Norvig is a Director of Research at Google; previously he directed Google’s core search algorithms group. He is a fellow and councilor of the Association for the Advancement of Artificial Intelligence and co-author, with Stuart Russell, of Artificial Intelligence: A Modern Approach, now the leading college text in the field. He was head of the Computational Sciences Division (now the Intelligent Systems Division) at NASA Ames Research Center.

Cool things of the week

* Introducing Preemptible GPUS: 50% off blog (https://cloudplatform.googleblog.com/2018/01/introducing-preemptible-gpus-50-off.html)

* How We Implemented a Fully Serverless Recommender System Using GCP blog (https://medium.com/@willian.fuks/how-we-implemented-a-fully-serverless-recommender-system-using-gcp-9c9fbbdc46cc)

* Awesome lists repo (https://github.com/sindresorhus/awesome):

* Awesome Google Cloud Platform repo (https://github.com/GoogleCloudPlatform/awesome-google-cloud)

* Awesome Kubernetes repo (https://github.com/ramitsurana/awesome-kubernetes)

* Awesome TensorFlow repo (https://github.com/jtoy/awesome-tensorflow)

* Awesome Firebase repo (https://github.com/afonsopacifer/awesome-firebase)

Interview

* Launchpad Studio site (https://developers.google.com/programs/launchpad/studio/)

* Verily site (https://verily.com/)

* DeepMind site (https://deepmind.com/)

* Cloud AI site (https://cloud.google.com/products/machine-learning/)

* Cloud Machine Leanring Engine site (https://cloud.google.com/ml-engine/)

* TensorFlow site (https://www.tensorflow.org/)

* Android Things site (https://developer.android.com/things/index.html)

Question of the week

How does a startup get GCP credits?

* Google Cloud Platform Startup Program site (https://cloud.google.com/developers/startups/)

CPU Vulnerability Links

* What Google Cloud, G Suite and Chrome customers need to know about the industry-wide CPU vulnerability blog (https://blog.google/topics/google-cloud/what-google-cloud-g-suite-and-chrome-customers-need-know-about-industry-wide-cpu-vulnerability/)

* Google Security Blog, Today’s CPU vulnerability: what you need to know blog (https://security.googleblog.com/2018/01/todays-cpu-vulnerability-what-you-need.html)

* ProjectZero News and Updates blog (https://googleprojectzero.blogspot.com/2018/01/reading-privileged-memory-with-side.html)

Where can you find us next?

San Francisco(http://feeds.feedburner.com/~r/GcpPodcast/~4/DXzVxXXL3ZA)

This week we get the band back together! Francesc Campoy Flores (https://www.twitter.com/francesc) rejoins the show

along with Director of Google Cloud Developer Relations Greg Wilson (https://twitter.com/gregsramblings) to talk all about

2017 and Google Cloud with Mark (https://twitter.com/Neurotic) and Melanie (https://twitter.com/nyghtowl)

About Francesc Campoy Flores

Francesc Campoy Flores (https://www.twitter.com/francesc) is the VP of Developer Relations at source{d} (https://sourced.tech),

He’s also a Gopher, Catalan, LGBTQIA advocate, previous Google employee (and Podcast host), and creator of the Just For Func (https://www.youtube.com/c/justforfunc/) YouTube series!

About Greg Wilson

Greg Wilson (https://twitter.com/gregsramblings) is the Director of Google Cloud Developer Relations, overseeing

developer relations work across both G Suite and Google Cloud Platform.

Cool things of the week

* Jeff Dean’s talk at NIPS on ML for Systems and Systems for ML sides (http://learningsys.org/nips17/assets/slides/dean-nips17.pdf)

* The Case for Learned Index Structures paper (https://www.arxiv-vanity.com/papers/1712.01208v1/)

* KubeFlow github (https://github.com/google/kubeflow) hackernews (https://news.ycombinator.com/item?id=15873659)

* Manage Google Kubernetes Engine from Cloud Console dashboard, now generally available blog (https://cloudplatform.googleblog.com/2017/12/Manage-Google-Kubernetes-Engine-from-Cloud-Console-dashboard-now-generally-available.html)

Interview

* Top 5 Downloaded Episode of 2017

* #88 Kubernetes 1.7 with Tim Hockin (https://www.gcppodcast.com/post/episode-88-kubernetes-1-7-with-tim-hockin/)

* #91 The Future of Media with Machine Learning with Amit Pande (https://www.gcppodcast.com/post/episode-91-the-future-of-media-with-machine-learning-with-amit-pande/)

* #93 What’s AI with Melanie Warrick (https://www.gcppodcast.com/post/episode-93-whats-ai-with-melanie-warrick/)

* #75 Container Engine with Chen Goldberg (https://www.gcppodcast.com/post/episode-75-container-engine-with-chen-goldberg/)

* #100 Vint Cerf: past, present, and future of the internet (https://www.gcppodcast.com/post/episode-100-vint-cerf/)

* Greg’s Favourites

* #57 PokĂŠmon GO with Edward Wu, Director of Software Engineering at Niantic (https://www.gcppodcast.com/post/episode-57-pokemon-go-with-edward-wu/)

* #68 The Home Depot with William Bonnell (https://www.gcppodcast.com/post/episode-68-the-home-depot-with-william-bonnell/)

* #86 Broad Institute and Platinum Customers with Lukas Karlsson and Mike Altarace (https://www.gcppodcast.com/post/episode-86-broad-institute-and-platinum-customers-with-lukas-karlsson-and-mike-altarace/)

* Francesc’s Favourites

* #62 Cloud Spanner with Deepti Srivastava (https://www.gcppodcast.com/post/episode-62-cloud-spanner-with-deepti-srivastava/)

* Mark’s Favourites

* The SRE Category on GCP Podcast (https://www.gcppodcast.com/categories/sre/)

* Melanie’s Favourites

* #57 PokĂŠmon GO with Edward Wu, Director of Software Engineering at Niantic (https://www.gcppodcast.com/post/episode-57-pokemon-go-with-edward-wu/)

* Favourite announcements, products and more at Google Cloud Platform

* Cloud Spanner (https://cloud.google.com/spanner/)

* Cloud Machine Learning Engine (https://cloud.google.com/ml-engine/)

* TensorFlow (https://www.tensorflow.org)

* GCE Virtual Machines (https://cloud.google.com/compute/), e.g. Pre-emptible VMs (https://cloud.google.com/preemptible-vms/)

* Go 1.8 on App Engine (https://cloudplatform.googleblog.com/2017/10/announcing-Go-1-8-on-App-Engine-Standard-Environment.html)

* Cheaper GPUs (https://cloudplatform.googleblog.com/2017/11/new-lower-prices-for-GPUs-and-preemptible-Local-SSDs.html)

* Kubernetes (https://www.kubernetes.io)

Question of the week

What were your personal highlights for 2017?

* Mark

* Getting involved with SIG API Machinery (https://github.com/kubernetes/community/tree/master/sig-api-machinery) with Kubernetes

Deep Kapadia (https://twitter.com/durple) and JP Robinson (https://twitter.com/jprbnsn) from New York Times (https://www.nytimes.com)

join Mark (https://twitter.com/Neurotic) and Francesc (https://twitter.com/francesc) to discuss how they use Google Cloud Platform

to serve the New York Times to its readers.

About JP Robinson

JP Robinson (https://twitter.com/jprbnsn) maintains NYT’s internal and open source tools and frameworks that are related to the Go programming language.

He also lead backend development of NYT’s games platform. Recently his team completely rewrote our backend with Go and GCP tools.

In doing so they’ve managed to significantly lower request latencies and cut costs in half.

About Deep Kapadia

Deep Kapadia (https://twitter.com/durple) manages the Infrastructure and Delivery Engineering, Site Reliability and

Test Automation teams at The New York Times. His teams are responsible for providing other engineering teams

with tools and processes needed to get their jobs done on a day to day basis.

His teams recently have been working on building the GKE deployment pipeline and enabling other teams

to migrate to the Cloud from our physical datacenters and also moving their entire edge and routing

caching architecture from internally hosted varnish to Fastly. They also helped move most of their site behind HTTPS.

Cool things of the week

* Cutting cluster management fees on Google Kubernetes Engine blog (https://cloudplatform.googleblog.com/2017/11/Cutting-Cluster-Management-Fees-on-Google-Kubernetes-Engine.html)

* Coming in 2018: GCP’s Hong Kong region blog (https://cloudplatform.googleblog.com/2017/11/coming-in-2018-GCPs-Hong-Kong-region.html)

* Introducing an easy way to deploy containers on Google Compute Engine virtual machines blog (https://cloudplatform.googleblog.com/2017/11/introducing-an-easy-way-to-deploy-containers-on-Google-Compute-Engine-virtual-machines.html)

Interview

* New York Times Crossword site (https://www.nytimes.com/crosswords)

* Moving The New York Times Games Platform to Google App Engine blog (https://open.nytimes.com/moving-the-new-york-times-games-platform-to-google-app-engine-e9337f2c9444)

* New York Times in 1996 webarchive (https://web.archive.org/web/19961112181513/http://nytimes.com/)

* Google App Engine site (https://cloud.google.com/appengine/) docs (https://cloud.google.com/appengine/docs/)

* Cloud Datastore site (https://cloud.google.com/datastore/) docs (https://cloud.google.com/datastore/docs)

* Kubernetes Engine site (https://cloud.google.com/kubernetes-engine/) docs (https://cloud.google.com/kubernetes-engine/docs/)

* Cloud Pub/Sub site (https://cloud.google.com/pubsub/) docs (https://cloud.google.com/pubsub/docs/)

* Google BigQuery site (https://cloud.google.com/bigquery/) docs (https://cloud.google.com/bigquery/)

* Cloud Endpoints site (https://cloud.google.com/endpoints/) docs (https://cloud.google.com/endpoints/docs/)

* Drone GAE github (https://github.com/NYTimes/drone-gae)

* Drone GKE github (https://github.com/NYTimes/drone-gke)

* Marvin github (https://github.com/NYTimes/marvin/)

* openapi2proto github (https://github.com/NYTimes/openapi2proto)

* gRPC site (https://grpc.io)

* New York Time Open site (https://open.nytimes.com)

Question of the week

What best practices are there for securing a Kubernetes Engine Cluster?

* Precious cargo: Securing containers with Kubernetes Engine 1.8 blog (https://cloudplatform.googleblog.com/2017/11/precious-cargo-securing-containers-with-Kubernetes-Engine-18.html)

Where can you find us next?

Mark will be Montreal in December to speak at Montreal International Games Summit (http://www.migs17.com/en/home/).

Melanie will be at NIPS (Neural Information Processing Systems) (https://nips.cc/) in Long Beach and will also be attending Black in AI (https://blackinai.github.io) on December 8th.(http://feeds.feedburner.com/~r/GcpPodcast/~4/YfluosvoMYQ)

Myles Borins (https://twitter.com/mylesborins) talks with Mark (https://twitter.com/Neurotic) and Francesc (https://twitter.com/francesc) about Node.js from its history, how to contribute, the consensus-seeking governance, and why it’s important to Google Cloud Platform.

Node.js is an open-source, JavaScript runtime environment built on Chrome’s V8 JavaScript engine, and Google is a Platinum Member of the Node.js Foundation.

About Myles Borins

Myles Borins is a developer, musician, artist, and maker he works for Google as a developer advocate serving the Node.js ecosystem he graduated with a Master of Music Science and Technology from c.c.r.m.a. a.k.a the center for computer research in music and acoustics

Cool things of the week

* Reduced GPU prices on GCP and preemptible local SSDs blog (https://cloudplatform.googleblog.com/2017/11/new-lower-prices-for-GPUs-and-preemptible-Local-SSDs.html)

* Skylake processors now available in 7 regions blog (https://cloudplatform.googleblog.com/2017/11/Skylake-processors-now-available-in-seven-regions.html)

* New Episodes of Learn TensorFlow and Deep Learning, without a PhD:

* Modern Convolutional Neural Nets video (https://www.youtube.com/watch?v=vaL1I2BD_xY&feature=youtu.be)

* Modern RNN Architectures video (https://www.youtube.com/watch?v=pzOzmxCR37I)

* Deep Reinforcement Leanring video (https://www.youtube.com/watch?v=aRKOJHRbXeo)

Interview

* Node.js site (https://nodejs.org/en/)

* Node.js on Google Cloud Platform site (https://cloud.google.com/nodejs) docs (https://cloud.google.com/nodejs/docs/)

* Node School site (https://nodeschool.io/)

* Node.js with Justin Beckwith podcast (https://www.gcppodcast.com/post/episode-20-nodejs-with-justin-beckwith/)

* App Engine site (https://cloud.google.com/appengine/) docs (https://cloud.google.com/appengine/docs/)

* Cloud Functions site (https://cloud.google.com/functions/) docs (https://cloud.google.com/functions/docs/)

* Kubernetes Engine site (https://cloud.google.com/kubernetes-engine/) doc (https://cloud.google.com/kubernetes-engine/docs/)

* Introduction to Kubernetes: How to Deploy a Node.js Docker App site (https://www.sitepoint.com/kubernetes-deploy-node-js-docker-app/)

* Socket.io site (https://socket.io/docs/)

Question of the week

How do you give public postmordems?

* Fearless shared postmortems - CRE life lessons blog (https://cloudplatform.googleblog.com/2017/11/fearless-shared-postmortems-CRE-life-lessons.html)

Where can you find us next?

Mark will be Montreal in December to speak at Montreal International Games Summit (http://www.migs17.com/en/home/).

Melanie will be at SOCML (Self-Organizing Conference on Machine Learning) end of this week and NIPS (Neural Information Processing Systems) (https://nips.cc/) in Long Beach next week.(http://feeds.feedburner.com/~r/GcpPodcast/~4/TEDpfzIZUzY)

On this week’s podcast, Eric Anderson (https://twitter.com/ericmander) shares how Dataprep (https://cloud.google.com/dataprep/) helps summarize, transform, visualize and cleanup data on the Google Cloud Platform. When doing data analysis, typically data munging can take up most of the time and this serverless tool helps optimize the process.

About Eric Anderson

Eric is a Product Manager at Google working on Cloud Dataprep and recently Cloud Dataflow. Previously he was at Amazon Web Services, Harvard Business School, General Electric and University of Utah. He’s from Salt Lake City, Utah and lives in Mountain View, California with and wife and three kids.

Cool things of the week

* Intel Performance Libraries and Python Distribution enhance performance and scaling of Intel Xeon Scalable (‘Skylake’) processors on GCP blog (https://cloudplatform.googleblog.com/2017/11/Intel-performance-libraries-and-python-distribution-enhance-performance-and-scaling-of-Intel-Xeon-Scalable-processors-on-GCP.html)

* The hidden costs of cloud blog (https://medium.com/google-cloud/the-hidden-costs-of-cloud-ddb702495e93) and Server Density podcast (https://www.gcppodcast.com/post/episode-69-server-density/)

* Monitor and manage your costs with Cloud Platform billing export to BigQuery blog (https://cloudplatform.googleblog.com/2017/11/monitor-and-manage-your-costs-with.html) and Public Datasets podcast (https://www.gcppodcast.com/post/episode-83-public-datasets-with-mike-hamberg-and-will-curran/)

* Kaggle TensorFlow Speech Recognitiion Challenge site (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge)

Interview

* Cloud Dataprep site (https://cloud.google.com/dataprep/) docs (https://cloud.google.com/dataprep/docs)

* Cloud Dataflow site (https://cloud.google.com/dataflow/) docs (https://cloud.google.com/dataflow/docs)

* 7 Steps to Mastering Data Preparation with Python blog (https://www.kdnuggets.com/2017/06/7-steps-mastering-data-preparation-python.html)

* Design Your Pipeline blog (https://beam.apache.org/documentation/pipelines/design-your-pipeline/)

* Apache Beam site (https://beam.apache.org/)

Question of the week

What is feature engineering?

* Intro to Feature Engineering with TensorFlow video (https://www.youtube.com/watch?v=d12ra3b_M-0)

Where can you find us next?

Mark will be Montreal in December to speak at Montreal International Games Summit (http://www.migs17.com/en/home/).

Melanie will be at NIPS (Neural Information Processing Systems) (https://nips.cc/) in Long Beach in December(http://feeds.feedburner.com/~r/GcpPodcast/~4/IJndIlK7S-c)

Colt McAnalis (https://twitter.com/duhroach) joins the podcast this week to talk about his Performance Atlas (https://www.youtube.com/playlist?list=PLIivdWyY5sqK5zce0-fd1Vam7oPY-s_8X) series where he dives into how to make Google Cloud applications faster and cheaper. In his words, his job is to help get someone promoted.

About Colt McAnlis

Colt McAnlis is a Developer Advocate at Google focusing on performance & compression. Before that, he was a graphics programmer in the games industry working at Blizzard, Microsoft (Ensemble), and Petroglyph. He’s been an Adjunct Professor at SMU Guildhall, a UDACITY instructor (twice), and a Book Author, (twice). When he’s not working with developers, Colt spends his time preparing for an invasion of giant ants from outer space.

Cool things of the week

* With Multi-Region Support in Cloud Spanner, have your cake and eat it too blog (https://cloudplatform.googleblog.com/2017/11/with-Multi-Region-support-in-Cloud-Spanner-have-your-cake-and-eat-it-too.html)

* The State of Data Science & Machine Learning by Kaggle blog (https://www.kaggle.com/surveys/2017) and podcast (https://soundcloud.com/linear-digressions/kaggle-survey-produced)

* Introducing Certified Kubernetes (and Google Kubernetes Engine!) blog (https://cloudplatform.googleblog.com/2017/11/introducing-Certified-Kubernetes-and-Google-Kubernetes-Engine.html)

Interview

* Performance Atlas series (https://www.youtube.com/playlist?list=PLIivdWyY5sqK5zce0-fd1Vam7oPY-s_8X)

* Profiling App Engine (Standard) Boot Time video (https://www.youtube.com/watch?v=vuVpxOIA8Wc)

* TCP BBR site (https://cloudplatform.googleblog.com/2017/07/TCP-BBR-congestion-control-comes-to-GCP-your-Internet-just-got-faster.html)

* Cloud Functions site (https://cloud.google.com/functions/) docs (https://cloud.google.com/functions/docs/)

* Understanding Compression book (http://shop.oreilly.com/product/0636920052036.do)

* Google SRE book (https://landing.google.com/sre/book/index.html)

* TCP/IP Illustrated book (https://www.amazon.com/TCP-Illustrated-Protocols-Addison-Wesley-Professional/dp/0321336313/ref=sr_1_1?ie=UTF8&qid=1510769486&sr=8-1&keywords=tcp+illustrated)

* Ilya Grigorik site (https://www.igvita.com/)

* Perf Like a Pirate III site (https://www.meetup.com/sfhtml5/events/238958595/)

Question of the week

What are the differences between sustained and committed use discounts?

* Sustained Use Discounts docs (https://cloud.google.com/compute/docs/sustained-use-discounts)

* Committed Use Discounts docs (https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts)

Where can you find us next?

Mark will be Montreal in December to speak at Montreal International Games Summit (http://www.migs17.com/en/home/).(http://feeds.feedburner.com/~r/GcpPodcast/~4/-A76VWKwAIk)

Brian Granatir comes on the podcast this week to tell us all about the New Zealand company Smart Parking (https://www.smartparking.com)

taking advantage of IoT Core (https://cloud.google.com/iot-core/) and our Serverless products (https://cloud.google.com/serverless/)!

This is also the inaugural episode of Melanie (https://twitter.com/nyghtowl) joining Mark (https://twitter.com/Neurotic) on the podcast!

About Brian Granatir

Brian Granatir has been developing for the cloud since the beginning, back in 2007. He left Oregon and moved to New Zealand to be with his future wife in 2014. In 2017, he joined Smart Parking to help with the development of their new Smart City platform built on GCP. Before becoming a developer, Brian spent 3 years as a screenwriter in Hollywood.

Cool things of the week

* Demystifying ML: How machine learning is used for speech recognition blog (https://cloudplatform.googleblog.com/2017/11/demystifying-ML-how-machine-learning-is-used-for-speech-recognition2.html)

* GCP arrives in India with launch of Mumbai region blog (https://cloudplatform.googleblog.com/2017/10/GCP-arrives-in-India-with-launch-of-Mumbai-region.html)

* Cloud SQL for PostgreSQL adds high availability and replication blog (https://cloudplatform.googleblog.com/2017/11/Cloud-SQL-for-PostgreSQL-adds-high-availability-and-replication.html)

Interview

* Smart Parking site (https://www.smartparking.com)

* IoT Core site (https://cloud.google.com/iot-core/) docs (https://cloud.google.com/iot/docs)

* Cloud Pub/Sub site (https://cloud.google.com/pubsub/) docs (https://cloud.google.com/pubsub/docs/)

* Cloud Functions site (https://cloud.google.com/functions/) docs (https://cloud.google.com/functions/docs/)

* Cloud Datastore site (https://cloud.google.com/datastore/) docs (https://cloud.google.com/datastore/docs)

* BigQuery site (https://cloud.google.com/bigquery/) docs (https://cloud.google.com/bigquery/docs)

* Google Data Studio site (https://cloud.google.com/data-studio/) docs (https://support.google.com/360suite/datastudio/?hl=en#topic=6267740)

Question of the week

How do I configure a PostgreSQL Cloud SQL instance for high availability?

* Configuring an Instance for High Availability docs (https://cloud.google.com/sql/docs/postgres/configure-ha)

Where can you find us next?

Mark will be Montreal in December to speak at Montreal International Games Summit (http://www.migs17.com/en/home/).

Melanie will be speaking at QCon (https://qconsf.com) is San Francisco next week!(http://feeds.feedburner.com/~r/GcpPodcast/~4/1EWSAayRHFs)