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Cloud Run is a managed compute platform that enables you to run stateless containers that are invocable via HTTP requests on either a fully managed environment or in your own Google Kubernetes Engine cluster. This video provides an overview of Cloud Run. Get started with Cloud Run at 🤍 For the latest updates, subscribe to the GCP Channel → 🤍
Serverless has been turning heads for good reason. Learn how to deploy serverless containers in 3 environments using Cloud Run and Knative. Learn more about Cloud Run → 🤍 Learn more about Knative → 🤍 Learn how to deploy this demo → 🤍 Demo repository → 🤍 Subscribe to GCP → 🤍 Product:Cloud, Cloud Run, GKE, Kubernetes; fullname:Stephanie Wong;
There are many ways you can run code on Google Cloud, including virtual machines, serverless computing, and containers. In this episode of Google Cloud Essentials, Ryan Matsumoto shares the options you have for running code on Google Cloud, from highly managed to highly customizable. Watch for an overview of several different ways you can run code on Google Cloud! Chapters: 0:00 - Intro 1:02 - Firebase → 🤍 1:41 - Cloud Functions → 🤍 2:55 - App Engine → 🤍 4:00 - Cloud Run → 🤍 4:58 - Kubernetes Engine → 🤍 6:08 - Compute Engine → 🤍 6:50 - Wrap up Watch more Google Cloud Essentials → 🤍 Subscribe to Google Cloud Tech → 🤍 #GCTEssentials
What is Cloud Run? How does it help you build apps? In this episode of Cloud Bytes, we give you an overview of Cloud Run - a fully managed compute environment - that allows you to easily create applications seamlessly. Watch to learn how you can use Cloud Run for your developer projects! Follow Priyanka on Twitter → 🤍 Learn more about Cloud Run → 🤍 Watch more episodes of Cloud Bytes → 🤍 Subscribe to the GCP Channel → 🤍 Product: Cloud Run; fullname: Priyanka Vergadia; #CloudBytes
Use the brand new Cloud Run service to turn any Docker 🐋 image into a serverless microservice on Google Cloud Platform. In this demo, we dockerize and deploy a server-rendered Nuxt/Vue app to Firebase Hosting 🤍 Cloud Run 🤍 Nuxt 🤍 Firebase Microservices 🤍 #cloudrun #docker #serverless
Learn how to deploy Machine Learning / Deep Learning models with Google Cloud Run. We build a simple app with TensorFlow and Flask, containerize it with Docker, and deploy it to Google Cloud Run. Code and instructions: 🤍 Get my Free NumPy Handbook: 🤍 ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: 🤍 * ⭐ Join Our Discord : 🤍 📓 ML Notebooks available on Patreon: 🤍 If you enjoyed this video, please subscribe to the channel: ▶️ : 🤍 ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: 🤍 🐦 Twitter - 🤍 ✉️ Newsletter - 🤍 📸 Instagram - 🤍 🦾 Discord: 🤍 ▶️ Subscribe: 🤍 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ 🅿 Patreon - 🤍 #Python Resources: 🤍 🤍 🤍 TensorFlow course: 🤍 PyTorch course: 🤍 Timeline: 00:00 Introduction 00:52 Prepare Model 04:27 Write Flask App 12:20 Setup Google Cloud Project 12:59 Google Cloud SDK 13:47 Dockerfile 16:41 Deploy * This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
Building with serverless on Google Cloud can be difficult in regards to determining what product serves your specific use case the best. In this episode of Serverless Expeditions Extended, we speak to the different, serverless use cases for Cloud Run, Cloud Functions, and App Engine. Watch to see how we help CritterWatch determine the best product for their serverless needs! Chapters: 0:00 - Intro 0:42 - Overview of file upload trigger service 1:00 - Cloud Functions vs. Cloud Run 1:32 - Code 6:10 - Uploading Images 6:40 - Cloud Firestore 8:17 - HTTP REST API 9:18 - Cloud Functions of Cloud Firestore? 10:44 - Code 16:38 - Managing traffic in Cloud Run 18:43 - Domain mapping 19:42 - Conclusion Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to get all the episodes as they come out → 🤍 #ServerlessExpeditions #ServerlessExpeditionsExtended #CloudRun Product: Cloud Run, Cloud Functions, App Engine; fullname: Martin Omander, Grant Timmerman;
Check out our lab → 🤍 Welcome to the first episode of Serverless Expeditions! In this series, we’ll explore everything having to do with serverless. In today’s episode, we learn how easy it is to run your Python code on Google Cloud with Cloud Run - a serverless, fully managed compute platform for deploying and scaling containerized applications quickly and securely. In this video, Abby Carey and Martin Omander show you how to build a currency converter in Python and deploy it to the cloud using Cloud Run and Cloud Build. Timestamps: 0:00 - Intro 0:34 - Python and Cloud Run overview 1:16 - File overview 1:36 - Docker file overview 1:51 - How to create a Docker file 2:37 - Building containers with Cloud Build 3:31 - Cloud Monitoring Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Platform→ 🤍 product: Cloud Run; fullname: Abby Carrey, Martin Omander; #ServerlessExpeditions #CloudRun
In this video I show you how to download, setup, and configure #gcloud command line tool. gcloud is an awesome tool that has been made available by #Google #Cloud. This is the tool that you will need to use every time you want to automate things in GCP or Google Cloud Platform. gcloud is based on Python, and it is available on almost all of the modern operating system. Once downloaded, all the commands are easily executed by just typing 'gcloud' and then follow it by the service. In addition to the instructions and overview on how to download and install gcloud, I cover the following commands as well: gcloud init gcloud auth login gcloud config list gcloud auth list gcloud projects list gcloud auth activate-service-account gcloud config set project gcloud config set compute/region gcloud config set compute/zone - Video chapters/timeline: 0:00 - Introduction 0:17 - Why you should learn gcloud and use it 0:33 - Topics list 1:26 - Download and install gcloud tool 2:23 - Supported operating systems to run gcloud 2:52 - Download and install Google Cloud SDK on Windows 4:52 - The options to authorize gcloud after setup 5:45 - How to launch Google Cloud SDK 6:25 - Use gcloud init to initialize gcloud 7:55 - Use gcloud config list to view the current active project 8:32 - Use gcloud config set compute/region to set the default region 9:27 - Use gcloud config set compute/zone to set the default zone 10:38 - Use gcloud projects list to list the projects 11:23 - Use gcloud config set project to change the project 12:21 - Use gcloud auth list to list the authenticated accounts 13:00 - Use gcloud auth login to add a new account 14:46 - How to authenticate with a service account 15:59 - GCP automation reference from Google Cloud 16:45 - Google Cloud SDK components installation 17:24 - Use gcloud components list to list the available components 18:07 - Use gcloud components install beta to install the beta commands 20:22 - Use gcloud components update to update the components 21:12 - Closing! - Links mentioned in the video: - Scripting with gcloud: a beginner’s guide to automating GCP tasks - 🤍 - gcloud init | Cloud SDK Documentation - the workflow that start after the installation - 🤍 - gcloud auth login | Cloud SDK Documentation - the command to authenticate a user - 🤍 - gcloud auth activate-service-account | Cloud SDK Documentation - authenticate service account - 🤍 - My other video (gcloud | How to authenticate gcloud using a service account in GCP): 🤍 - Checkout my website: 🤍 - Also check out my full detailed and comprehensive 32+ hours Google Workspace #Administrator #training #course 🤍 - Interesting channels to follow and subscribe: Google Workspace - 🤍 Google Cloud Tech - 🤍 Google Cloud - 🤍 Learn GCP with Mahesh - 🤍
Welcome to the second episode of Cloud Bytes! In the last episode, we gave you a brief overview of Cloud Functions. In this episode, we dive into App Engine, and show how this serverless application allows you to write your code in any supported language, run custom containers with the framework of your choice, and easily deploy and run your code in the cloud. Follow Priyanka on Twitter → 🤍 Learn more about App Engine → 🤍 Watch more episodes of Cloud Bytes → 🤍 Subscribe to the GCP Channel → 🤍 Product: App Engine; fullname: Priyanka Vergadia; #CloudBytes
In this episode of Get Cooking in Cloud, +Priyanka Vergadia will show how to create a website on GCP using Cloud Run. Hosting a static website on Google App Engine → 🤍 Quickstart: Build and Deploy → 🤍 Building scalable and resilient applications → 🤍 Learn more through our hands-on labs → 🤍 Get Cooking In Cloud Playlist → 🤍 Subscribe to the GCP Channel → 🤍 #GoogleCloud #Cloud #Developer #WebDevelopment #WebApp #CloudRun Product:cloud run; fullname:Priyanka Vergadia;
Deploying a Cloud Run service with Visual Studio Code → 🤍 Google Cloud blog → 🤍 Building a Cloud Run web application and using Visual Studio Code? In this episode of Serverless Toolbox Extended, Martin and Abby show you how to run, debug, and easily deploy a Cloud Run service locally with Visual Studio Code. Watch to learn how the VS extension in Cloud Code simplifies Cloud Run development! Timestamps: 0:00 - Intro 1:12 - Installing Cloud Code in Visual Studio Code 1:50 - Download the sample app 2:40 - Run the sample app locally 6:20 - Hot reload after code changes 7:30 - Adding a Datastore database 12:45 - Local debugging 16:05 - Deploying the service to the cloud 17:25 - Viewing the server logs in Visual Studio Code Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Tech → 🤍 #ServerlessExpeditions #CloudRun Product: Cloud Run; fullname: Martin Omander, Abby Carey;
Find out the top three ways you can run your containers on Google Cloud! Google Kubernetes Engine for a container orchestration solution, Cloud Run for a fully serverless approach and Compute Engine to simply use Virtual Machines. Resources: Containers at Google → 🤍 Kubernetes Engine → 🤍 Cloud Run → 🤍 Compute Engine → 🤍 Deploying Containers → 🤍 Container Optimized OS Images → 🤍 Container Registry → 🤍 Getting Vulnerabilities for Metadata for Images → 🤍 Google Cloud Codelabs → 🤍 product:Identity Platform, Cloud; fullname: Alexis Moussine-Pouchkine; #GCPessentials
Develop, deploy, secure, and manage APIs with Google Cloud's fully managed gateway. Learn more → 🤍 Subscribe to Google Cloud Platform → 🤍
Build, test, deploy, repeat 🤖 Create a CI/CD pipeline with Google Cloud Build for that can continuously deploy your app to Firebase Hosting on every git commit 🤍 - Cloud Build 🤍 - Hosting 🤍
Code for this episode → 🤍 Cloud SQL documentation → 🤍 Cloud Run documentation → 🤍 Cloud Run is serverless, which means you don’t have to worry too much about configuration settings. If your code connects to a relational database, you will find that Cloud SQL is not serverless and that it has a lot of configuration settings. But don’t worry, in this video Craig and Martin will set up and configure a Cloud SQL machine and show how to connect to it from Cloud Run code! Timestamps: 0:00 - Intro 1:37 - Why Cloud SQL 2:22 - Creating and configuring a new Cloud SQL instance 6:33 - Creating and populating tables 7:10 - Connecting to Cloud SQL from Cloud Run code 9:20 - Deploying the application to Cloud Run Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Tech → 🤍 #ServerlessExpeditions #CloudRun Product: Cloud Run, Cloud SQL; fullname: Martin Omander, Craig Labenz;
Welcome to the first episode of Anthos 101! In this video, you’ll learn exactly what Anthos is, and how it helps enterprises manage their applications. Moreover, you’ll learn about the different tools that Anthos offers - such as the ability to create environs and platform administrators - that help developers modernize and manage their application infrastructure. Follow Priyanka on Twitter → 🤍pvergadia Solve more with Anthos → 🤍 Watch more episodes of Anthos 101 → 🤍 Subscribe to get all the episodes as they come out → 🤍 Product: Anthos, Anthos GKE, Compute Engine; fullname: Priyanka Vergadia; #Anthos101
Get 20% OFF + Free Shipping with code NETWORKCHUCK at 🤍 You need to learn Google Cloud….right now!! Seriously, it could be a good skill to pick up if you are trying to advance your IT career. Google Cloud certifications top the list in 2022!! In this video, I’ll show you how you can learn Google Cloud for FREE, taking advantage of the Google Cloud Skill Badges. Get your Google Cloud Skill badges: 🤍 🔥🔥Join the NetworkChuck membership: 🤍 Sponsored by Manscaped SUPPORT NETWORKCHUCK - ➡️NetworkChuck membership: 🤍 ☕☕ COFFEE and MERCH: 🤍 Check out my new channel: 🤍 🆘🆘NEED HELP?? Join the Discord Server: 🤍 STUDY WITH ME on Twitch: 🤍 READY TO LEARN?? - -Learn Python: 🤍 -Get your CCNA: 🤍 FOLLOW ME EVERYWHERE - Instagram: 🤍 Twitter: 🤍 Facebook: 🤍 Join the Discord server: 🤍 0:00 ⏩ Intro 1:30 ⏩ What the Junk is Google Cloud?? 4:10 ⏩ Why learn GCP first 4:50 ⏩ Getting skilled up for Google Cloud!! 6:25 ⏩ Why I love what Google is doing!! 7:51 ⏩ HOW TO start learning Google Cloud FREE AFFILIATES & REFERRALS - (GEAR I USE...STUFF I RECOMMEND) My network gear: 🤍 Amazon Affiliate Store: 🤍 Buy a Raspberry Pi: 🤍 #GoogleCloud #RIGHTNOW #Manscaped
How to create DOCKER container on Google Cloud Platform (GCP) |Step by Step Tutorial LIVE (2020) #buildcontainers #docker #dockercontainers #gcp #stepbystep #completeguide Check out this video for Container basics Let's understand containers | 5 simple steps to create a docker container - 🤍 * Check out our technology and google cloud tutorials playlists* 1) Latest technology tutorial (2020) :- 🤍 2) Google Cloud Platform Beginner Series (2020) :- 🤍 Hi Friends, I am Anshul Tiwari and welcome to our youtube channel ITkFunde. About this video - In this video, we will learn step by step process to create an application container using Docker on Google cloud platform. We will cover the below points in this video - - CONTAINER BASICS (QUICK OVERVIEW) - CONTAINERIZATION PROCESS - COMPONENTS USED IN THIS DEMO - DEMO Containers are simply a way to package software within a standard environment. We will learn how to create a docker container and deploy it on the Google Cloud Platform (GCP) with these 5 simple steps. I will show you all steps on my machine:- 1. CODE YOUR APP 2. CREATE DOCKERFILE 3. BUILD CONTAINER IMAGE 4. PUSH CONTAINER IMAGE TO CONTAINER REGISTRY 5. DEPLOY CONTAINER IMAGE ON CLOUD RUN *Social Links* Facebook - 🤍 Linkedin - 🤍 Twitter - 🤍 Blog - 🤍 Instagram -🤍 *About This Channel* Friends ITkFUNDE channel wants to bring I.T related knowledge, information, career advice, and much more to every individual regardless of whether he or she belongs to I.T or not. This channel is for everyone interested in learning something new!
Codelab → 🤍 Quickstart → 🤍 Read the blog → 🤍 In a previous video, Stephanie Wong introduced Cloud Functions 2nd gen. In this video, Stephanie will take a deeper dive into Google Cloud's 2nd generation Functions-as-a-Service offering. How does it work and, more importantly, how can you take advantage of this functionality as a serverless developer? Watch along and get started with Cloud Functions 2nd gen. Chapters: 0:00 - Intro 0:55 - Powered by Cloud Run 1:31 - Longer processing times 2:50 - Greater compute power 3:29 - Traffic splitting 5:21 - Concurrency 7:06 - Min instances 8:05 - 90+ native event integrations 9:50 - Conclusion Subscribe to Google Cloud Tech → 🤍
Serverless computing allows developers to create highly scalable applications and services. In this video, we demo Google Cloud’s API Gateway - a tool that helps you create, secure, and monitor APIs for many of Google Cloud serverless backends - such as Cloud Functions, Cloud Run, and more! Watch to learn how you can provide secure access to your backend services through a well-defined REST API, providing consistency across all of your services, regardless of the service implementation. Timestamps: 0:00 - Overview 1:08 - Why Serverless APIs 1:39 - Google Cloud API Gateway Intro 3:01 - Demo 5:34 - Key use cases Watch more videos like this → 🤍 Subscribe to Google Cloud Tech → 🤍 product: Google Cloud API Gateway; fullname: Priyanka Vergadia;
Reviewing the Logitech G Cloud, a 2023 handheld gaming console that streams AAA titles from online services like Xbox Cloud and GeForce Now. As well as unboxing the Logitech G Cloud, we test out the game playing talents with Android hits like Genshin Impact as well as modern games like Atomic Heart. The best bits of this handheld console vs the Steam Deck and Nintendo Switch OLED include the battery life and the cooling. Because this is an Android device running a low powered Snapdragon chipset, it can play games for around ten hours on a single charge. The Logitech G Cloud also doesn't heat up because when it plays more intensive AAA titles, it's all done via the cloud. And Genshin Impact doesn't cause it to get toasty either. On the flip side, that Cloud design means the console needs to be connected to the internet to make use of the online gaming. And as there's no 5G support, you're limited to WiFi. So while you can take a collection of games with you on Steam Deck or Nintendo Switch, the Logitech G Cloud can only play Android fare if you're offline. Not the best handheld console for flights or long distance travel then! Logitech G Cloud Review Chapters: 0:00 - Oh yay another handheld 0:46 - What's in the box? 1:13 - Design 2:51 - Android & UI 5:38 - Android gaming (Genshin Impact) 7:45 - Cloud gaming (Xbox Cloud) 9:29 - Display & audio 11:18 - Battery life 12:10 - Verdict
This video shows you how to deploy a Node.js application on Google App Engine. If you don't have a Google Cloud Platform account please check out our video on signing up for a free trial: 🤍 More information on Node.js on Google Cloud: 🤍 gcloud SDK installation: 🤍 Quick Command Reference: gcloud init - log in and setup up the SDK gcloud preview app deploy - deploy your application gcloud preview app versions stop main - shutdown your application gcloud preview app browse - open your browser to your deployed app #CloudMinute
I Tried Xbox Cloud Gaming on the FASTEST Internet in the World! I teamed up with Logitech G and travelled to Monaco! To test Xbox Cloud Gaming and GeForce Now on CRAZY FAST Internet! Seeing what the future of gaming could look like? Cloud Gaming and Game Streaming unlocks a lot for mobile gaming and with Xbox Game Pass including Xbox Cloud Gaming. Means it is already available to lots of gamers! The Logitech G Cloud is a cool mobile console, that provided an easy way to play games this way. In a compact and convenient solution! I could game almost anywhere in cafes, hotels, indoors, outdoors and by the famous F1 Monaco GP race track! Where I challenge my friend 🤍FlorentGarcia to a race… Check out the Logitech G Cloud here: UK and Europe - 🤍 USA and Canada - 🤍 Amazon (UK) - 🤍 Amazon (US) - 🤍 MY WALLPAPER PACK (Xbox, PC, Mobile, PlayStation) 🤍 PRODUCT LINKS ⬇️ Amazon (UK) - 🤍 Amazon (US) - 🤍 MY DESK SETUP 🪑 Secretlabs Gaming Chair - 🤍 MY FAVOURITE SOFTWARE 💻 Kajabi (Website Builder) 30 DAY FREE trial: 🤍 📈 How I get MORE VIEWS on YouTube - 🤍 🔍 Find GREAT YouTube Video Ideas - 🤍 MY FREE ONLINE COURSES 🎥 How to Start a YouTube Channel - 🤍 🖊️ How to Write the PERFECT YouTube Script - 🤍 STUFF ON MY DESK 💡 Levitating Light Bulb Amazon (UK) - 🤍 Amazon (US) - 🤍 🖥 Swinging Sticks Amazon (UK) - 🤍 Amazon (US) - 🤍 Some of the links in this description are Affiliate Links, I get a small percentage from any sales made from clicking these links. It helps support my channel and making more content! Thanks for watching!
Blog → 🤍 Code used in this episode → 🤍 In the last episode, we went over some best practices when deploying code to a Google Cloud project with Terraform - an infrastructure as code (IaC) tool. In this episode, we demonstrate how to use Terraform to provision and deploy application code in a serverless environment. Watch to learn the best practices with Terraform when it comes to serverless! Timestamps: 0:00 - Intro 1:12 - Cloning the code and running Terraform 3:05 - Reviewing the deployed application 6:45 - Deleting and recreating pictures used by the app 9:02 - Setting the project ID variable 10:29 - Destroying and recreating the app 12:50 - Reviewing the Terraform manifests 14:20 - Auto-approve “terraform apply” Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Tech → 🤍 #ServerlessExpeditions #ServerlessExpeditionsExtended #CloudRun Product: Terraform; fullname: Martin Omander, Katie McLaughlin;
This is the Logitech G Cloud, a handheld games console designed for streaming Xbox, PlayStation 5, GeForce Now and PC games. Buy the Logitech G Cloud: UK - 🤍 (ad) US - 🤍 (ad) Today we’re unboxing this handheld games console from Logitech, the G Cloud, and seeing how it performs on the PS5, Xbox and other streaming and remote play services. Thank you to Logitech for sending me this unit ahead of the UK launch to test out. All views are my own. Link to other video - 0:00 | Intro to G Cloud 0:29 | Unboxing 0:52 | Design 1:29 | Setup 1:56 | Screen 2:40 | Controls 3:39 | What does it do? 4:09 | Xbox Gaming 4:46 | PlayStation Gaming 5:58 | PC Gaming (GeForce Now) 6:47 | Android Gaming 7:33 | UI & Specs 8:36 | Worth Buying? If you enjoyed today’s video, please drop a LIKE and SUBSCRIBE to the channel. Thanks for watching, Chris. Wallpapers - 🤍 Full Gear List - 🤍 Music from Epidemic - 🤍 Instagram - 🤍 Twitter - 🤍 TikTok - 🤍 Website - 🤍 NOTE: I may earn a commission from some of the links (thank you for supporting me). - #Logitech #GCloud #Gaming #LogitechGPartner #AD #PlayStation #Xbox #MobileGaming #Unboxing #Review #PlayStationHandheld
Update: Google has changed this deal and now the free usage is only for 3 months rather than the original 12 months. In this video I show you how to create a free Google Cloud account and host your Python scripts in the cloud. I also show you how to use a tmux so your script will continue to run when you close the SSH window. Finally I show how to use crontabs to schedule you script to run automatically. If you have any questions, please leave them below and I'd be glad to help you out!
In this tutorial, I'll show you how to create Google Cloud Functions using GCP Console, gcloud cli, and terraform. 👉 How to Manage Secrets in Terraform - 🤍 👉 Terraform Tips & Tricks - 🤍 👉 ArgoCD Tutorial - 🤍 💼 - I’m a Senior Software Engineer at Juniper Networks (11+ years of experience) 📍 - Located in San Francisco Bay Area, CA (US citizen) 🤝 - LinkedIn - 🤍 🎙 - Twitter - 🤍 📧 - Email - me🤍antonputra.com 👨💻 - GitHub - 🤍 = ⏱️TIMESTAMPS⏱️ 0:00 Intro 0:33 Cloud Functions HTTP Trigger 2:39 Cloud Functions Authentication 4:06 Authenticating Function to Function Calls 7:15 Using Secrets in Google Cloud Functions 10:00 Deploy Cloud Function from GitHub 13:51 Google Cloud Functions CI CD 17:45 Deploy Cloud Function Using Terraform 19:31 Run Cloud Functions Locally 20:17 Cloud Functions PubSub Trigger 22:03 Trigger a Function on Cloud Storage Changes 23:42 API Gateway with Cloud Functions = Source Code 📚 - Tutorial: 🤍 #GCP #CloudFunctions #DevOps
Are you new to Google Cloud? In this video, Ryan Matsumoto, Developer Advocate at Google, discusses a high level overview of Google Cloud and how it can help you as a developer. Welcome to Google Cloud Essentials! Chapters: 0:00 - Intro 0:21 - What is cloud computing? 0:39 - What is a Google data center? 1:06 - Scalability with Cloud Spanner 2:11 - Running code 2:33 - Storing data 3:08 - AI & machine learning tools 3:55 - What is Vertex AI? 4:08 - A use case for Google Cloud 4:57 - Wrap up Watch more Google Cloud Essentials → 🤍 Subscribe to Google Cloud Tech → 🤍 #GCTEssentials product: Cloud - General; fullname: Ryan Matsumoto;
In this session, attendees will learn how Google Cloud is enabling developers to focus on their code by providing better tools and infrastructure for their backend services. Come learn about the investments made in the past year that make it easy to code, build, run, and observe your applications and services with Google Cloud. Watch more #io19 here: GCP at Google I/O 2019 Playlist → 🤍 Google I/O 2019 All Sessions Playlist → 🤍 Learn more on the I/O Website → 🤍 Subscribe to the Google Cloud Platform Channel → 🤍 Get started at → 🤍 Speaker(s): Seth Vargo, Dale Markowitz T9439A event: Google I/O 2019; re_ty: Publish; product: Cloud - General; fullname: Dale Markowitz, Seth Vargo;
Here's a tutorial on how to install Ubuntu on Google Cloud Platform. There are few steps on installing Ubuntu on GCP but it's easy, and you can finish the installation in less than 20 minutes. I used Ubuntu desktop, which took 2gb of hard drive space but I find that it works better compared to other Linux desktop out there. I also used nomachine.com for RDP. You can use other RDP software like VNC or Teamviewer but try not to use any software that doesn't have SSL on their website. If you feel that I helped you, please buy me a coffee: 🤍 🔹🔹Please help this channel by Subscribing 🤍 🔹🔹 If you have any questions or comments, leave it on the comment below. Channel Playlists Google Cloud Platform Tutorial Playlist 🤍 AWS Tutorial Playlist 🤍 Google Web Designer Tutorial Playlist: 🤍 🔴 Find me on SOCIAL MEDIA: Twitter - 🤍 Instagram - 🤍
Setup your own free tier web server using Google Clouds 'Always Free' tier resources. It's pretty quick to build a small and simple webserver to run things like WordPress using 🤍 The free tier documentation we referenced is here: 🤍 Anything listed as 'free tier' does not get billed, even when your 90 day trial is over, so our vCPU, memory, drive and 1GB network traffic is free forever. If you're interested in setting up a mailbox on here, you can follow the steps in our previous HestiaCP video here: 🤍 For your SMTP service, my preferred free option is SendinBlue: 🤍 Another nice free option is using x10hosting, which we setup here: 🤍 For those of you wanting to combine this method with Cloudflare, check our tutorial here for some more tips: 🤍 0:00 Introduction 1:10 Google Cloud Server Setup 6:26 DNS Setup 7:54 Install Control Panel 13:12 Setup Webserver 16:51 Other Tips 17:46 Performance Testing & Conclusions At IdeaSpot, we support the free and open exchange of knowledge and information. Please support us by using these description links included here. Besides the great discounts you can get from these links, they help us grow too by providing us a small commission on referral. Thank you for supporting IdeaSpot so we can continue to provide you with free content each week!
Learn how to build, run, and deploy a Next.js application using Docker and Google Cloud Run in under 10 minutes! 0:00 — What is Docker? 0:25 — Relation to Kubernetes 0:45 — Installing Docker on your Machine 1:07 — Creating a Dockerfile 2:43 — Dockerignore 2:50 — Building the Docker Image 3:38 — Multi-stage Docker Builds 4:01 — Viewing Docker Images 4:14 — Running Next.js Locally with Docker 4:41 — Setting up the Google Cloud SDK 5:23 — Creating a Project & Logging In 6:02 — Building Image with Google Cloud Build 6:30 — Deploying to Google Cloud Run 7:23 — Conclusion Links ––––– Code: 🤍 Command: npx create-next-app -e with-docker Docker: 🤍 Google Cloud SDK: 🤍 ––––– Blog: 🤍 Twitter: 🤍 GitHub: 🤍 Course: 🤍 Theme/Gear/Setup: 🤍 #nextjs #docker
Learn more about Cloud Monitoring → 🤍 Cloud Monitoring is a tool that allows you to gain visibility into the performance, availability, and health of your applications and infrastructure. In this video, we show you what Cloud Monitoring is and how you can use it to custom define service-level objectives (SLOs), monitor application metrics, and the overall health of your applications infrastructure. Watch to learn how you can use Cloud Monitoring! Watch more episodes of Cloud Bytes → 🤍 Subscribe to Google Cloud Tech → 🤍 Product: Cloud Monitoring; fullname: Bukola Ayodele; #CloudBytes
Join Alexis Moussine-Pouchkine in understanding how Google Cloud Platform makes serverless work for you. Serverless Computing → 🤍 Cloud Run → 🤍 App Engine → 🤍 The GCP Essentials Playlist → 🤍 Subscribe to the Google Cloud Platform Channel to learn more about our products → 🤍 #GCPessentials
Did you know Google Cloud offers a broad spectrum of machine learning options? In this episode of Google Cloud Platform Essentials, Ryan discusses some different machine learning options on Google Cloud for different experience levels and project needs. From pre-trained APIs to managed platforms, discover the ease of developing and deploying your machine learning models with Google Cloud. Chapters: 0:00 - Intro 0:45 - Machine learning APIs → 🤍 2:32 - AutoML → 🤍 4:00 - Vertex AI - Custom Training → 🤍 5:44 - AI Infrastructure tools → 🤍 6:32 - Wrap up Watch more Google Cloud Essentials → 🤍 Subscribe to Google Cloud Tech → 🤍 #GCTEssentials
See how to use Cloud Dataproc to manage Apache Spark and Hadoop in an easy, cost-effective way. Try the Datproc: Qwik Start lab here: 🤍 *Automatically get 3 free credits to take the labs. New enrollees only. Free credits offer good until July 24, 2018 Try GCP for free: 🤍 Want to learn more about Cloud Dataproc and other Google Cloud products and services? - Find a curriculum of webinars and digital events at Google Cloud OnAir. 🤍 - Keep up to date on the latest GCP product releases and news on the Google Cloud Platform Blog. 🤍 - Learn online and at your own pace with a catalog of Google Cloud courses on Coursera. 🤍 - Discover more Google Cloud training and certification programs here: 🤍
There’s no tool that can replace the best practices for DevOps or SRE, but there is a tool that can allow you greater observability over your logs in a distributed infrastructure involving multiple products. In this episode of Google Cloud Platform Essentials, we show you how logs are aggregated for all Google Cloud products, how to utilize them, and how to use them for tracking application errors. Site Reliability Engineering → 🤍 What's the Difference Between DevOps and SRE? → 🤍 Cloud logging → 🤍 Basic log queries → 🤍 Sample query → 🤍 Advanced logs queries → 🤍 Logs Router overview → 🤍 Formatting errors in logs → 🤍 The GCP Essentials Playlist → 🤍 Subscribe to the Google Cloud Platform Channel to learn more about our products → 🤍 Product: Stackdriver Logging; fullname: Alexis Moussine-Pouchkine; #GCPessentials
Prepare for the Google Cloud Associate Cloud Engineer (ACE) exam and pass! Associate Cloud Engineers deploy applications, monitor operations, and manage enterprise solutions. They use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud. ✏️ Course developed by Antoni Tzavelas. 🐦 Antonio on Twitter: 🤍 🔗 Get your Free Practice and Downloadable Cheatsheets: 🤍 ☁️ Introduction 🎤 (00:00:00) Meet Your Instructor 🎤 (00:16:56) Google Cloud Certifications and Exams 🎤 (00:28:46) Scenario Bowtie 🎤 (00:41:27) Preview of Practice Exam ☁️ Cloud Computing Fundamentals 🎤 (00:46:35) What Is Cloud Computing 🎤 (00:53:29) Cloud Deployment Models 🎤 (01:00:13) Cloud Service Models ☁️ Google Cloud Fundamentals 🎤 (01:08:22) Google Cloud Global Infrastructure 🎤 (01:15:19) Compute Service Options 🎤 (01:24:10) Storage and Database Options 🎤 (01:32:56) Networking Services ☁️ Account Setup 🎤 (01:38:56) Resource Hierarchy 🎤 (01:47:53) Create Free Tier Account 🎤 (01:54:41) Securing Your Account 🎤 (02:05:13) GCP Console Overview 🎤 (02:13:17) Cloud Billing 🎤 (02:28:18) Controlling Costs and Budget Alerts 🎤 (02:38:14) Controlling Costs and Budget Alerts Follow Along 🎤 (02:53:15) Billing Export 🎤 (03:00:07) Cloud APIs 🎤 (03:04:32) Adding an Admin User 🎤 (03:14:16) Cloud SDK and CLI 🎤 (03:18:32) Cloud SDK and CLI Follow Along 🎤 (03:36:08) Managing Cloud SDK 🎤 (03:52:25) Cloud Shell and Editor 🎤 (04:10:53) Creating and managing projects 🎤 (04:10:57) Limits and Quotas ☁️ Identity and Access Management 🎤 (04:20:55) Cloud IAM 🎤 (04:37:07) Policies and Conditions 🎤 (04:47:22) Cloud IAM 🎤 (05:04:56) Service Accounts 🎤 (05:16:40) Service Accounts 🎤 (05:33:40) Cloud Identity 🎤 (05:44:05) Cloud IAM Best Practices ☁️ Networking Services 🎤 (05:51:56) Networking Refresher PART 1 🎤 (06:07:46) Networking Refresher PART 2 🎤 (06:18:39) Virtual Private Cloud 🎤 (06:35:56) VPC Network Subnets 🎤 (06:40:58) Routing and Private Google Access 🎤 (06:57:47) IP Addressing 🎤 (07:11:59) Creating Internal and External Static IP Addresses PART 1 🎤 (07:21:05) Creating Internal and External Static IP Addresses PART 2 🎤 (07:33:33) Firewall and Firewall Rules 🎤 (07:46:55) Custom VPC Part 1 🎤 (08:01:43) Custom VPC Part 2 🎤 (08:13:16) VPC Network Peering 🎤 (08:20:02) VPC Network Peering 🎤 (08:34:53) Shared VPC 🎤 (08:43:43) VPC Flow Logs 🎤 (08:51:03) DNS Fundamentals 🎤 (09:06:32) DNS Record Types 🎤 (09:18:27) Network Address Translation PART 1 🎤 (09:28:48) Network Address Translation PART 2 🎤 (09:39:05) Cloud DNS ☁️ Compute Engine 🎤 (09:47:08) Virtualization Fundamentals 🎤 (09:59:21) Compute Engine Overview 🎤 (10:09:24) Creating a VM Instance 🎤 (10:27:41) Compute Engine Machine Types 🎤 (10:42:03) Managing Instances 🎤 (11:00:40) Connecting to Your Instances 🎤 (11:23:13) Metadata and Startup Scripts 🎤 (11:38:27) Compute Engine Billing 🎤 (11:53:35) Storage Fundamentals 🎤 (12:04:21) Persistent Disk and Local SSDs 🎤 (12:21:50) Managing disks on Compute Engine 🎤 (12:40:37) Snapshots 🎤 (12:50:11) Creating Snapshots and Snaphot Schedules 🎤 (13:03:37) Deployment Manager 🎤 (13:16:46) Deployment Manager ☁️ High Availability and Autoscaling 🎤 (13:33:21) Cloud Load Balancers PART 1 🎤 (13:41:10) Cloud Load Balancers PART 2 🎤 (13:54:00) Instance Groups and Instance Templates 🎤 (14:05:38) Managing Bowties PART 1 🎤 (14:17:49) Managing Bowties PART 2 ☁️ Kubernetes Engine Containers 🎤 (14:25:45) Introduction to Containers 🎤 (14:34:50) GKE and Kubernetes Concepts 🎤 (14:47:10) Cluster and Node Management 🎤 (15:00:23) Pods and Object Management 🎤 (15:14:12) Kubernetes Services 🎤 (15:32:18) Ingress for GKE 🎤 (15:40:57) GKE Storage Options 🎤 (15:57:05) Creating a GKE Cluster ☁️ Hybrid Connectivity 🎤 (16:42:38) Cloud VPN 🎤 (16:51:57) Cloud Interconnect ☁️ Serverless Services 🎤 (17:03:10) App Engine Overview 🎤 (17:15:44) Deploying Serverless Bowties to App Engine 🎤 (17:30:49) Introduction to Cloud Functions 🎤 (17:38:56) Deploying a Cloud Function ☁️ Storage Services 🎤 (17:49:46) Cloud Storage Storage Types 🎤 (18:04:24) Object Lifecycle Management and Versioning 🎤 (18:12:05) Managing Cloud Storage Access 🎤 (18:32:43) Object Lifecycle Management and Versioning 🎤 (18:46:20) Cloud SQL 🎤 (19:03:51) Cloud Spanner 🎤 (19:11:42) NoSQL Databases ☁️ Big Data and Machine Learning 🎤 (19:24:04) Big Data Services 🎤 (19:41:34) Machine Learning Services ☁️ Operations Suite 🎤 (19:50:36) Operations Suite
7 unique ways to deploy a server-side app to the cloud. Explore the tradeoffs between each node.js deployment option on Google Cloud Platform. 🤍 #node #webdev #top7 This video is NOT sponsored. 🔗 Resources Google Cloud 🤍 Cloud Run Tutorial 🤍 Docker in 100 Seconds 🤍 Node.js Docs 🤍 📚 Chapters 00:00 Deployment ain't easy 00:42 Node.js App Tour 01:40 1. Server in your Garage 02:47 2. Cloud VM 04:06 3. App Engine Standard 05:45 4. App Engine Flex 06:23 5. Kubernetes 07:01 6. Cloud Functions 08:17 7. Cloud Run 🤓 Install the quiz app iOS 🤍 Android 🤍 🔥 Watch more with Fireship PRO Upgrade to Fireship PRO at 🤍 Use code lORhwXd2 for 25% off your first payment. 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font
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