Google Cloud Platform Podcast

Mark and Brian Dorsey spend today talking Python with Dustin Ingram. Python is an interpreted, dynamically typed language, which encourages very readable code. Python is popular for web applications, data science, and much more! Python works great on Google Cloud, especially with App Engine, Compute Engine, and Cloud Functions. To learn more about best (and worst) use cases, listen in!

Node.js is our topic this week as Mark and first-time host, Jon Foust, pick the brain of Myles Borins. Myles updates us on all the new things happening with Node.js, including the new .dev site that holds a ton of documentation to help people get started. Node.js now integrates with Cloud Build, the Node.js foundation has some new developments, and Google App Engine supports Node.js. The group has also been working on serverless containers.

Myles Borins is a developer, musician, artist, and maker. They work for Google as a developer advocate serving the Node.js ecosystem. Myles cares about the open web and healthy communities.

• Google Cloud Next '19 session guide now available blog
• Introducing scheduled snapshots for Compute Engine persistent disk blog
• Reliable task scheduling on Compute Engine with Cloud Scheduler site
• How to make a self-destructing VM on Google Cloud Platform article
• Making AI-powered speech more accessible—now with more options, lower prices, and new languages and voices blog

• GCP Podcast Episode 105: Node.js with Myles Borins podcast
• Node.js site
• Introduction to Node.js site
• Nodejs.dev on Github site
• Cloud Build site
• Firebase site
• Node.js Foundation site
• JS Foundation site
• Linux Foundation site
• Foundation Bootstrap Team on Github site
• App Engine site
• G Suite site
• Apps Script site
• BigQuery site
• JSON site
• The hilarious misadventures of being a platform downstream from your language video
• Node.js Versions - How Do They Work? video
• Open Source Leadership Summit site
• Black Girls Code site
• Scripted site
• Girls Who Code site

How do I get google cloud APIs to work within Unity?

Add packages from NuGet to a Unity project and read more in the Unity docs here

Mark will be at GDC in March, Cloud NEXT, and ECG in April.

Jon will be at GDC, Cloud NEXT, ECG, and Vector 2019.

Node.js is our topic this week as Mark and first-time host, Jon Foust, pick the brain of Myles Borins. Myles updates us on all the new things happening with Node.js, including the new .dev site that holds a ton of documentation to help people get started. Node.js now integrates with Cloud Build, the Node.js foundation has some new developments, and Google App Engine supports Node.js. The group has also been working on serverless containers.

We're learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy's main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer.

Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you're not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects.

Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces.

Amy is Product Marketing Manager at Google Cloud responsible for Databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University.

• Process Workflows with the new Google Docs API blog
• Jib 1.0.0 is GA—building Java Docker images has never been easier blog
  • GCP Podcast Episode 151: Java & Jib with Patrick Flynn and Mike Eltsufin podcast
• A guided tour in Google Earth that explores Black history blog
• Author: Gabe Weiss - Publishing series: Cloud IoT step-by-step
  • Cloud IoT step-by-step: Connecting Raspberry PI + Python site
  • Cloud IoT step-by-step: Cloud to device communication site
  • Cloud IoT step-by-step: Quality of life tip - The command line site

• Cloud SQL site
• Cloud SQL Features site
• MySQL site
• PostgreSQLsite
• Cloud MemoryStore site
• Cloud Bigtable site
• Cloud Firestore site
• Cloud Spanner site
• GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast
• Mongo site
• Getting to know Google Cloud SQL video

What is a virtual column in a database?

• Generated columns blog and docs

Amy will be at the Postgres Conference in New York on March 19.

Gabi will be at PHP UK in London and Cloud NEXT in April.

Mark will be at GDC in March, Cloud NEXT, and ECG in April.

• Diamond Partner Q&A: Google's Mark Mandel Has The Tools To Help You Make Great Games article

We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer.

Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects.

Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces.

Today, Mohamed El-Geish joins us to talk about the voice AI technology powering Voicea. Gabi is back on the host bench with Mark as we learn how Voicea can improve productivity. EVA, the voice assistant, will record important information for you so you can focus on your meeting and will create tasks lists to help you stay organized. Voicea integrates well with multiple platforms to help accomplish your goals as well. You can send messages to Slack, add tasks to your Basecamp list, and more.

Mohamed explains the process of building Voicea and how machine learning techniques and user feedback have helped make it such a useful tool. Now, Voicea is working to incorporate video, allowing users to play back things like important meeting slides.

Mohamed El-Geish is the Chief Architect and co-founder at Voicea (formerly Voicera), a voice AI technology company based in Menlo Park, Calif. Voicea leverages AI technology to harness voice in the workplace to increase productivity through EVA, Voicea's Enterprise Voice Assistant. EVA listens, takes notes, and automatically provides highlights, actions, and recaps so your meetings can be activated. Voicea can turn talk into action from any conversation with in-person chats, meetings, conference calls, or video conferences.

• Query without a credit card: introducing BigQuery sandbox blog
• Exploring container security: Encrypting Kubernetes secrets with Cloud KMS blog
• Golden State Warriors power data analytics and fan experiences with Google Cloud blog
• Seven steps to making DevOps a reality blog
  • GCP Podcast Episode 158: VP of Engineering - Melody Meckfessel podcast
• The Telegraph UK: Reimagining media with the help of Google Cloud blog

• Voicea site
• Voicea Integrations site
• Kubernetes site
• GKE site
• Stackdriver site
• Docker site
• Voicea on LinkedIn site
• Mohamed El-Geish site

What if I'm working in a terminal in Cloud shell, and I want to move to another computer? How can I continue my work?

Mark will be at GDC in March, Cloud NEXT, and ECG in April.

Gabi will be at the Museum of Natural History for their Brown Scholars program giving a workshop on ML APIs and Cloud Functions. She'll also be at Cloud NEXT.

Today, Mohamed El-Geish joins us to talk about the voice AI technology powering Voicea. Gabi is back on the host bench with Mark as we learn how Voicea can improve productivity. EVA, the voice assistant, will record important information for you so you can focus on your meeting and will create tasks lists to help you stay organized. Voicea integrates well with multiple platforms to help accomplish your goals as well. You can send messages to Slack, add tasks to your Basecamp list, and more.

Mohamed explains the process of building Voicea and how machine learning techniques and user feedback have helped make it such a useful tool. Now, Voicea is working to incorporate video, allowing users to play back things like important meeting slides.

First-time host, Aja, joins Mark today to talk Go Cloud Functions with two Google colleagues! Stewart, lead Product Manager on Google Cloud Functions, and Tyler, Developer Programs Engineer at Google, start the show by explaining the purpose of Cloud Functions. It is a serverless compute product that supports many programming languages, scales automatically, and only charges for what you use. It works best as event-driven computing, in other words, when something happens, you want something else to happen in response. Cloud Functions also works well between clouds or even Google Cloud services, acting as the glue between them.

Go Cloud Functions works specifically for Go. Google makes a huge effort to make Cloud Functions easy to use for all developers, so that no matter what language you're familiar with, Cloud Functions works for you.

Stewart Reichling is the lead Product Manager on Google Cloud Functions. He is a graduate of Georgia Institute of Technology and has worked across Strategy, Marketing, and Product Management at Google.

Tyler is a Developer Programs Engineer at Google. He graduated with his Master's in Computer Science from NYU and loves detailed documentation, random trivia, and homemade bread. You can find his blog at buipalsulich.com

• Actually cool thing of the week twitter
• NoSQL for the serverless age: Announcing Cloud Firestore general availability and updates blog
• Site Reliability Workbook now available in HTML site
• Building a serverless online game: Cloud Hero on Google Cloud Platform blog
• The tech industry is failing people with disabilities and chronic illnesses article

• GCP Podcast Episode 34: Stackdriver monitoring with Aja Hammerly podcast
• GCP Podcast Episode 53: Ruby with Aja Hammerly podcast
• Cloud Functions site
• Cloud Scheduler site
• Firestore site
• Pub/Sub site
• Go Mod site
• App Engine site
• Open Census site
• GCP Podcast Episode 118: OpenCensus with Morgan McLean and JBD podcast
• Google Stackdriver site
• Launch/overview video video
• The Go Runtime site
• Cloud Functions Quickstarts site

How many ways can you run containers on GCP?

Mark will be at GDC in March, Cloud NEXT, and ECG in April. Agones has a new website agones.dev! And he's also back to Twitch streaming!

Aja will be at Cloud NEXT in April.

First-time host, Aja, joins Mark today to talk Go Cloud Functions with two Google colleagues! Stewart, lead Product Manager on Google Cloud Functions, and Tyler, Developer Programs Engineer at Google, start the show by explaining the purpose of Cloud Functions. It is a serverless compute product that supports many programming languages, scales automatically, and only charges for what you use. It works best as event-driven computing, in other words, when something happens, you want something else to happen in response. Cloud Functions also works well between clouds or even Google Cloud services, acting as the glue between them.

Go Cloud Functions works specifically for Go. Google makes a huge effort to make Cloud Functions easy to use for all developers, so that no matter what language you’re familiar with, Cloud Functions works for you.

We're back! This week, Mark welcomes Gabi as his new co-host! Listen in as they discuss Knative with Mark Chmarny and Ville Aikas.

So what is Knative? Mark and Ville explain that Knative is basically a way to simplify Kubernetes for developers. This way, developers can focus on writing good code without worrying about all the aspects of Kubernetes, such as deploying and autoscaling. Knative helps with these functions automatically. Knative also supports many languages which allows developers to bring their own stack. The day-to-day of developing doesn't change, which is the beautiful thing about Knative!

Knative is open source and easy to deploy. Developers can find installation guides online for any Kubernetes certified instance of service. A link to the installation guide for Knative on GKE is in our show notes.

Mark is a Technical Program Manager for Serverless focusing on enabling customers to be successful with our serverless portfolio on GCP, and driving community awareness of our serverless products on GKE. Prior to that Mark lead the Partner Engineering team for Data, Analytics and ML at Google. Before Google, Mark was the Sr. Director of Datacenter Solutions Group at Intel.

Ville is a member of the Technical Oversight Committee for Knative, leads Knative Eventing, and (with Matt) conceived ducks for K8s. Previously, Ville worked on Helm, K8s Service Catalog and Kubernetes (before it was Kubernetes). Before the OSS stint Ville was a TL for Google Cloud Storage.

• Let the sunshine in: opening the market for more renewable energy in Asia blog
• Get Go-ing with Cloud Functions: Go 1.11 is now a supported language blog
• Building Google's Game of the Year with Cloud Text-to-Speech and App Engine blog
• Welcome to the service mesh era: Introducing a new Istio blog post series blog

• Knative site
• Knative Blog blog
• Knative on GitHub site
• Kubernetes site
• MiniKube site
• GKE site
• Pub/Sub site
• Cloudevents site
• Knative Install on Google Kubernetes Engine site
• Knative Slack site

How long does it take for Cloud SQL to detect an outage and trigger High Availability failover?

Gabi will be discussing the awesome new features of MySQL 8.0 at PHP UK - London and you will be also able to find her at Cloud NEXT

Mark will be at GDC in March, Cloud NEXT, and ECG in April

Our guests will be at Cloud NEXT and KubeCon Barcelona