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Videos uploaded by user “Google Cloud Platform”
What is Machine Learning? (AI Adventures)
 
05:23
Got lots of data? Machine learning can help! In this episode of Cloud AI Adventures, Yufeng Guo explains machine learning from the ground up, using concrete examples. Associated article "What is Machine Learning?" → https://goo.gl/Dbxo6M Watch more episodes of AI Adventures here → https://goo.gl/UC5usG TensorFlow → http://tensorflow.org Cloud ML Engine → http://cloud.google.com/ml-engine/ Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y Don't forget to subscribe to the channel! → https://goo.gl/S0AS51
Views: 320815 Google Cloud Platform
What is Cloud Vision API?
 
02:09
Cloud Vision API provides powerful Image Analytics capabilities as easy to use APIs. It enables application developers to build the next generation of applications that can see and understand the content within the images. The service enables customers to detect a broad set of entities within an image from everyday objects to faces and product logos. In this video, we show a Raspberry Pi robot that uses the API to demonstrate the API features. To learn more visit https://cloud.google.com/vision/
Views: 230745 Google Cloud Platform
The 7 Steps of Machine Learning (AI Adventures)
 
10:36
How can we tell if a drink is beer or wine? Machine learning, of course! In this episode of Cloud AI Adventures, Yufeng walks through the 7 steps involved in applied machine learning. The 7 Steps of Machine Learning article: https://goo.gl/XEo6i2 Watch more episodes of AI Adventures here: https://goo.gl/UC5usG TensorFlow Playground: http://playground.tensorflow.org Machine Learning Workflow: https://goo.gl/SwLnSz Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y Want more machine learning? Subscribe to the channel: https://goo.gl/S0AS51
Views: 1370869 Google Cloud Platform
Introducing Cloud AutoML
 
01:42
Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models by leveraging Google’s state of the art transfer learning, and Neural Architecture Search technology. AutoML Vision is the first product to be released. It is a simple, secure and flexible ML service that lets you train custom vision models for your own use cases. Soon, Cloud AutoML will release other services for all other major fields of AI. Product page: https://cloud.google.com/automl/ Blog post: https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/ Podcast: https://www.gcppodcast.com/post/episode-109-cloud-automl-vision-with-amy-unruh-and-sara-robinson/ Using Distributed TensorFlow with Cloud ML Engine and Cloud Datalab → http://bit.ly/2ILCe5b
Views: 92184 Google Cloud Platform
Introducing Google Actual Cloud Platform
 
02:08
Literally a cloud. Introducing Google Actual Cloud Platform, the world’s first public cloud running on servers in the troposphere. Available April 1. Watch the video to learn more. https://cloud.google.com/actual-cloud/
Views: 272492 Google Cloud Platform
Google Cloud IoT Solutions
 
01:17
Events of interest fire off continuously in the physical world, and data that is material to decision making can’t always wait for offline analysis. Internet-equipped sensors on any physical item imaginable make it possible to ingest data continuously into the cloud, directly from the source at massive scale. Learn why Cloud Platform is the best place to build IoT initiatives, taking advantage of Google’s heritage of web-scale processing, analytics, and machine intelligence. https://cloud.google.com/solutions/iot/
Views: 48387 Google Cloud Platform
Cloud Spanner
 
01:45
Cloud Spanner is a fully managed, mission-critical relational database service built from the ground up and battle tested for transactional consistency, high availability, and global scale. https://cloud.google.com/spanner
Views: 65718 Google Cloud Platform
Cloud Run Overview
 
01:57
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 https://cloud.google.com/run For the latest updates, subscribe to the GCP Channel → https://bit.ly/GCloudPlatform
Views: 31636 Google Cloud Platform
Introduction to Kaggle Kernels (AI Adventures)
 
04:22
In this episode of AI Adventures, Yufeng explains how to use Kaggle Kernels to do data science in your browser without any downloads! Associated Medium post "Introduction to Kaggle Kernels": https://goo.gl/yRF6H8 Fashion MNIST Kernel: https://goo.gl/GtM6ov Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 57538 Google Cloud Platform
Which Python Package Manager Should You Use? (AI Adventures)
 
05:06
In this episode of AI Adventures, Yufeng discusses some of the options available when it comes to managing your Python environment for machine learning and data science, and helps you make an informed decision based on your needs. Associated Medium post "Which Python package manager should you use?": https://goo.gl/uGwXiA Resources: Pip: https://goo.gl/YwDW8 Virtualenv: https://goo.gl/5ix9f Anaconda: https://goo.gl/thHWnF Pyenv: https://goo.gl/RU0Swa Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to be notified of new episodes: https://goo.gl/S0AS51
Views: 38045 Google Cloud Platform
Plain and Simple Estimators (AI Adventures)
 
05:47
In this episode of AI Adventures, it's time to write some TensorFlow code! We'll build a linear model to recognize different kinds of flowers using a canned estimator. Associated Medium post - Plain and Simple Estimators: https://goo.gl/L2YUbk Jupyter notebook: http://jupyter.org/ Code from this episode: https://goo.gl/ChcaM9 TensorFlow Estimators: https://goo.gl/r1tZUW Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 109517 Google Cloud Platform
Organizing Kubernetes with Namespaces (Kubernetes Best Practices)
 
08:52
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to work with Namespaces and how they can help you manage your Kubernetes resources. See the associated article here → https://goo.gl/63hC8h Google Kubernetes Engine → https://goo.gl/2V8yah kubens tool → https://goo.gl/1xjeo1 Network Policy → https://goo.gl/okBTmh Minikube → https://goo.gl/a11kLJ Istio → Istio.io Spinnaker → Spinnaker.io Check out more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 27004 Google Cloud Platform
Kubernetes Health Checks with Readiness and Liveness Probes (Kubernetes Best Practices)
 
05:39
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to make your Kubernetes deployments more robust by using Liveness and Readiness probes. See the associated article here → https://goo.gl/JRXEzn Google Kubernetes Engine → https://goo.gl/2V8yah HTTP Probes → https://goo.gl/9ZVUhi Command Probes → https://goo.gl/mQpUvM TCP Probes → https://goo.gl/H4WbpY Configure Probes → https://goo.gl/LfBB5u Check out more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 16666 Google Cloud Platform
Get to know Google App Engine
 
02:19
Google App Engine makes it easy to focus on your code, while letting us manage your infrastructure.
Views: 36408 Google Cloud Platform
Jupyter Tips and Tricks (AI Adventures)
 
06:10
In this episode of AI Adventures, Yufeng journeys to Jupyter to bring back some tips and tricks for your data science workflow! Associated Medium post "Jupyter tips and tricks": https://goo.gl/Xi3ffq http://jupyter.org/ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 65230 Google Cloud Platform
Wrangling Data with Pandas (AI Adventures)
 
05:37
In this episode of AI Adventures, Yufeng explores the fascinating world of pandas, an open-source python library that provides easy to use, high-performance data structures and data analysis tools. Associated Medium post "Wrangling data with Pandas": https://goo.gl/txENbw Pandas: http://pandas.pydata.org/ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 44002 Google Cloud Platform
What's the Difference Between DevOps and SRE? (class SRE implements DevOps)
 
05:11
Seth Vargo and Liz Fong-Jones go head-to-head to determine which is better: DevOps or Site Reliability Engineering (SRE). In this video, Liz and Seth discuss the differences and similarities between DevOps and SRE, ultimately realizing that DevOps and SRE aren't two competing methods, but rather close friends designed help break down organizational barriers to deliver better software faster. DevOps is like an abstract class in programming, and SRE is one possible implementation of that class. Site Reliability Engineering: https://goo.gl/aCiiPV How SRE relates to DevOps: https://goo.gl/NWKuj9 Managing Deployments with Kubernetes Engine Qwiklab: http://bit.ly/2zdFQh5 Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 220877 Google Cloud Platform
Google Cloud Functions: introduction to event-driven serverless compute on GCP
 
03:06
Google Cloud Functions is GCP’s event-driven serverless compute platform. Cloud Functions makes it easy to run and scale your code in the cloud in response to events originating from GCP, Firebase, Google Assistant, and 3rd-party services. Learn more at https://cloud.google.com/functions
Views: 11723 Google Cloud Platform
Building Small Containers (Kubernetes Best Practices)
 
08:45
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how you can build small containers to make your Kubernetes deployments faster and more secure. See the associated article here → https://goo.gl/zjejFj Google Container Registry → https://goo.gl/ilwubv Google Container Builder → https://goo.gl/l1Obc1 Container Registry Vulnerability Scanning → https://goo.gl/5EiyLe Google Kubernetes Engine → https://goo.gl/2V8yah Docker Multistage Builds → https://goo.gl/nQmwW4 Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 140651 Google Cloud Platform
Setting Resource Requests and Limits in Kubernetes (Kubernetes Best Practices)
 
09:32
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how Kubernetes resource requests and limits can help you keep your containers under control. See the associated article here → https://goo.gl/pKwcRX Requests and Limits Documentation → https://goo.gl/kHrqZ2 Resource Quota Documentation → https://goo.gl/3z8co1 Limit Range CPU Documentation → https://goo.gl/H7CDUH Limit Range Memory Documentation → https://goo.gl/hGpThm Kubernetes Engine Cluster Autoscaler → https://goo.gl/wDNs5B Pod Priority → https://goo.gl/N2yQVP Google Kubernetes Engine → https://goo.gl/2V8yah Take a look at more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 16955 Google Cloud Platform
Machine Learning Demo: Cloud Video Intelligence API
 
03:05
Watch how the Cloud Video Intelligence API allows you to search & discover within video.
Views: 5343 Google Cloud Platform
Cloud Spanner Live Demo
 
05:18
Google Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. Here we're looking at a real-world scale example, demonstrated by Greg DeMichillie and Robert Kubis.
Views: 13477 Google Cloud Platform
Mapping External Services (Kubernetes Best Practices)
 
05:47
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to connect to services running outside your Kubernetes cluster to enable hybrid deployments in a Kubernetes native way. See the associated article here → https://goo.gl/cB4STS Google Cloud Datastore (NoSQL Database) → https://goo.gl/OuCfHE Google Cloud Spanner (Global and Ultra Scaleable Relational Database) → https://goo.gl/zhKlir Google Cloud Launcher → https://goo.gl/Pn5Oa8 Google Kubernetes Engine → https://goo.gl/2V8yah Take a look at more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 15618 Google Cloud Platform
Estimators Revisited: Deep Neural Networks (AI Adventures)
 
03:58
In this episode of AI Adventures, Yufeng explains how to build models for more complex datasets, using TensorFlow to build deep neural networks! Associated Medium post "Estimators revisited: Deep Neural Networks": https://goo.gl/eQxgAa DNNClassifier: https://goo.gl/2aee5a Code from this episode: https://goo.gl/fJwzWY Iris Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 19682 Google Cloud Platform
Welcome to Google Cloud Platform - the Essentials of GCP (Google Cloud Platform Essentials)
 
05:58
Welcome to Google Cloud Platform! GCP can be overwhelming at first, but we’ll help you get started in this video. Leave any questions you have in the comments below! As you progress through your discovery of GCP, keep in mind those key resources : Documentation - https://cloud.google.com/docs/ In-depth tutorials - https://cloud.google.com/docs/tutorials Support - https://cloud.google.com/support/ Training - https://cloud.google.com/training/ Free Codelabs - https://g.co/codelabs/cloud The GCP Essentials Playlist → https://bit.ly/GCP-essentials Subscribe for more GCP Essentials videos → https://bit.ly/GCloudPlatform
Views: 30255 Google Cloud Platform
Distributed Training in the Cloud (AI Adventures)
 
04:45
Training machine learning models at scale has never been simpler. By leveraging in the cloud machine learning engine, we can quickly and easily train TensorFlow models without worrying about configuring servers installing drivers and libraries. Associated Medium post: https://goo.gl/nA5sbw Resource Links: Distributed TensorFlow: https://goo.gl/Ph6Whh Scale Tier: https://goo.gl/N4bA6P How to run TensorFlow on Hadoop: https://goo.gl/QZWKUS Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 14774 Google Cloud Platform
Google BigQuery - Analytics Data Warehouse | Google Cloud Platform
 
01:59
BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is serverless, there is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights, use familiar SQL, and take advantage of our pay-as-you-go model. BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies.
Views: 35977 Google Cloud Platform
Building for the Big Screen with Atomic Fiction and Google Cloud Platform
 
01:51
Atomic Fiction creates visual effects for some of the biggest movies and shows out there (ahem! Game of Thrones). But rendering these effects can take a monumental amount of compute power. That’s where Google Cloud Platform comes in. With Compute Engine, Atomic Fiction can tap into massive infrastructure when they need it, and scale back to nothing when they don’t. Learn more about Atomic Fiction’s story from co-founder Kevin Baillie on the blog: http://goo.gl/FsyK1O While you’re at it, check out our Media Solutions lineup: https://cloud.google.com/solutions/media/
Views: 10916 Google Cloud Platform
Introduction to Cloud IAM
 
04:13
Cloud IAM is Google Cloud Platform’s unified system for managing access to resources and assigning permissions for users and services to access those resources. This video will take you through the basic terms and concepts you need to use Cloud IAM.
Views: 19246 Google Cloud Platform
Risk and Error Budgets (class SRE implements DevOps)
 
06:18
In this video, Seth Vargo and Liz Fong-Jones discuss how the SRE discipline reduces tension over velocity/stability between product teams and system operators by quantifying risk and employing error budgets. Striving for 100% availability in a service isn't just impossible, it's unnecessary. Maximizing stability limits how quickly new features can be delivered to users. Extreme availability produces diminishing returns as user experience becomes dominated by less reliable components like cellular networks or WiFi. While we want to reduce the risk of system failure, we also have to accept risk in order to deliver new products and features. In the SRE discipline, error budgets are the prescriptive, quantitative measurements for how much risk a service is willing to tolerate. Error budgets are the byproduct of the agreed-upon SLOs (Service Level Objectives) between product owners and systems engineers. Risk and error budgets are directly related to many DevOps principles. Error budgets clearly define that "accidents are normal" by quantifying accidents and risk. Error budgets also enforce that "change should be gradual", because non-gradual changes could quickly break the SLO and prevent further development for the quarter. This is why we say class SRE implements DevOps. "Embracing Risk" in the O'Reilly SRE Book: https://goo.gl/kNpXrt "How to Prioritize and Communicate Risks" on the GCP Blog: https://goo.gl/ffmU69 Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 19341 Google Cloud Platform
TensorFlow Eager Mode
 
03:20
TensorFlow graph is an amazing tool that represent your computation in terms of the dependencies between individual operations. However, it can be overwhelming to grasp if you are just starting out. How can we keep the pride and performance without the frustration? Watch the video to find out! Try it for yourself. Install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers with the TensorFlow for Poets lab. → http://bit.ly/QwikLab-TF Watch other episodes in the playlist here → http://bit.ly/AIAdventures Subscribe to the Google Cloud Platform Channel → http://bit.ly/GCloudPlatform
Views: 3573 Google Cloud Platform
AutoML Vision - Part 1 (AI Adventures)
 
08:01
In this episode of AI Adventures, Yufeng Guo uses AutoML Vision to build and employ a machine learning model that recognizes different types of….chairs! In part 1, he’ll walk you through gathering the data and creating a csv file that describes the location and label for all the images in the dataset. Don’t miss part 2 to see how the model performs! AutoML data preparation notebook → http://bit.ly/2KQO9Vm Associated blog post → http://bit.ly/2L9rpfh Watch more AI Adventures → http://bit.ly/AIAdventures Subscribe to the Google Cloud Platform channel → http://bit.ly/GCloudPlatform
Views: 28388 Google Cloud Platform
Differences between Cloud Run and Cloud Run on GKE
 
05:24
Cloud Run is a serverless compute platform for running stateless HTTP applications. It has two flavors: a fully managed environment or in a Google Kubernetes Engine cluster. This video shows you the similarities and differences between the two environments. Learn more and get started with Cloud Run at → https://bit.ly/2KlxAAT For the latest updates, subscribe to the GCP Channel → https://bit.ly/GCloudPlatform
Views: 5769 Google Cloud Platform
Natural Language Generation at Google Research (AI Adventures)
 
14:40
In this episode of AI Adventures, Yufeng interviews Google Research engineer Justin Zhao to talk about natural text generation, recurrent neural networks, and state of the art research! RNNs in TensorFlow: https://goo.gl/ss5dEY Character-level language models: https://goo.gl/ffcq52 Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 64409 Google Cloud Platform
Preparing Your Image Data in AutoML Vision
 
04:16
Cloud AutoML Vision is a machine learning product that helps developers train models. In this video, Sara gives some tips and tricks to help prepare your image data in Cloud AutoML vision. She covers uploading and labeling images, reviewing image labels and managing the images in the UI, and exporting your data set to a Cloud storage directory. Watch this step-by-step tutorial and stay tuned for future videos on AutoML vision! Learn more → http://bit.ly/2uKwDIh Subscribe to the GCP channel → http://bit.ly/GCloudPlatform
Views: 19044 Google Cloud Platform
SLIs, SLOs, SLAs, oh my! (class SRE implements DevOps)
 
08:05
Liz Fong-Jones and Seth Vargo are back again with 8 minutes of action-packed SRE and DevOps education. This video discusses building blocks of the DevOps and SRE practice of measurement: Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs): "Service Level Objectives" in the O'Reilly SRE Book: https://goo.gl/3btxFE → SLIs are Service Level Indicators or metrics over time which inform about the health of a service. → SLOs are Service Level Objectives which are agreed upon bounds for how often those SLIs must be met. → SLAs are business-level agreements which define the service availability for a customer and the penalties for breaking that availability. SLIs and SLOs are the prescriptive way in which SRE practices the DevOps principle of "measure everything". Implementing SLOs also forces collaboration between product owners and systems operators, adhering to the DevOps principle of "break down organizational barriers". This is why we say class SRE implements DevOps. Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 53741 Google Cloud Platform
Kelsey Hightower's Best Live Demo Yet (Cloud Next '18)
 
17:22
Watch Kelsey Hightower, Google Cloud Developer advocate, build a weather application from zero, LIVE. Starting from the database all the way up to the endpoint in just 15 minutes.
Views: 8627 Google Cloud Platform
Deploying Node.js on App Engine standard environment
 
01:58
In this video you will learn how you can quickly and easily deploy a node.js application on App Engine standard environment. You will also learn about App Engine's fully managed platform that allows developers to deploy highly scalable applications without worrying about managing the underlying infrastructure.
Views: 12805 Google Cloud Platform
Google Cloud Functions: real-time file processing
 
04:03
Learn how to run code in response to file uploads to a Cloud Storage bucket. In this demo, Bret McGowen shows how to understand the content of an image uploaded to Cloud Storage using Cloud Vision API and save labels to a BigQuery database with Cloud Functions. Learn more at https://cloud.google.com/functions
Views: 7161 Google Cloud Platform
The Google Cloud Platform Free Trial and Free Tier
 
04:24
Watch this short video to understand the difference between Google Cloud Platform’s (GCP) free tier and free trial and understand how they can help you test GCP or use it for development purposes at no or little cost. Learn and build on GCP for free → https://bit.ly/2RdeRWi The GCP Essentials Playlist → https://bit.ly/GCP-essentials Subscribe to the Google Cloud Platform Channel to learn more about our products → https://bit.ly/GCloudPlatform
Views: 12710 Google Cloud Platform
What is BeyondCorp? What is IAP (BeyondCorp in a Bottle)
 
02:13
BeyondCorp is Google’s new zero trust security approach on granting employees remote access without the traditional VPN. In this episode, Max will provide further explanation on BeyondCorp’s model as well as how you can get started. BeyondCorp Enterprise Security → http://bit.ly/2TMQEb7 BeyondCorp Blog → http://bit.ly/2FxeCnT Cloud Identity-Aware Proxy → http://bit.ly/2RMSiw1 Cloud Trust and Security → http://bit.ly/2MelhUA BeyondCorp in a Bottle Playlist → http://bit.ly/BeyondCorp-in-a-Bottle Get notified when new episodes are released by subscribing to the GCP Channel → http://bit.ly/GCloudPlatform
Views: 3265 Google Cloud Platform
Go Cloud Functions
 
03:03
In this video, we introduce Go support on Google Cloud Functions and briefly walk through the two main function types: HTTP functions and background functions. Find out more about Google Cloud Functions → http://bit.ly/2sxtABL Subscribe to be notified of new releases → http://bit.ly/GCloudPlatform
Views: 6240 Google Cloud Platform
Visualizing Your Model Using TensorBoard (AI Adventures)
 
04:37
In this episode of AI Adventures, Yufeng takes us on a tour of TensorBoard, the visualizer built into TensorFlow, to visualize and help debug models. Associated Medium post "Visualizing your model using TensorBoard": https://goo.gl/ckgxhu TensorBoard documentation: https://goo.gl/BPJLtF TensorBoard Talk from TensorFlow Dev Summit 2017: https://goo.gl/ustpVJ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get the episodes as they come out: https://goo.gl/S0AS51
Views: 50610 Google Cloud Platform
Google Cloud Functions
 
01:38
Cloud Functions is Google Cloud’s event-driven, serverless platform that offers flexible, fast cloud app development. Learn more here → https://cloud.google.com/functions/ Subscribe to the Google Cloud Platform channel here → http://bit.ly/2LrpO4Z
Views: 5300 Google Cloud Platform
Profiling Kubernetes Boot Time (Cloud Performance Atlas)
 
04:36
In this episode of Cloud Performance Atlas, Colt McAnlis helps some bacon lovers profile Kubernetes Startup time. Will their performance end up with the perfect crunch? Stay tuned to find out. See the associated article here: https://goo.gl/1Tm4G6 Check out more Cloud Performance Atlas videos here: https://goo.gl/RGsQlF Don't forget to subscribe to the channel! https://goo.gl/S0AS51
Views: 4851 Google Cloud Platform
Serverless Predictions at Scale (AI Adventures)
 
04:43
In this episode of AI Adventures, Yufeng explains how to scale your machine learning using the cloud, no ops work required! Associated Medium post "Serverless predictions at scale": https://goo.gl/oGZw66 TensorFlow Serving Talk from TensorFlow Dev Summit 2017: https://goo.gl/4Gc83e Code from this episode: https://goo.gl/ChcaM9 Exporting TensorFlow Models: https://goo.gl/KSS1gV Iris Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 37205 Google Cloud Platform
Toil and Toil Budgets (class SRE implements DevOps)
 
07:46
Liz Fong-Jones and Seth Vargo are back again, this time discussing the SRE topic called "toil". In the SRE discipline, toil is the kind of work tied to running a production service that tends to be manual, repetitive, automatable, tactical, and devoid of long-term value. Toil tends to scale linearly as the service grows. As such, the SRE discipline strives to reduce toil as much as possible. Toil and toil budgets closely influence the desire to "measure everything" and "leverage tooling and automation". By giving operators a quantitative measurement, toil and toil budgets ensure a balance between administering the system and improving it. This is why we say class SRE implements DevOps. Eliminating Toil in the O'Reilly SRE Book: https://goo.gl/TfwupX Twitter: https://twitter.com/sethvargo https://twitter.com/lizthegrey class SRE implements DevOps Playlist: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel: https://goo.gl/S0AS51
Views: 13054 Google Cloud Platform
Microservices in the Cloud with Kubernetes and Istio (Google I/O '18)
 
38:01
Are you building or interested in building microservices? They are a powerful method to build a scalable and agile backend, but managing these services can feel daunting: building, deploying, service discovery, load balancing, routing, tracing, auth, graceful failures, rate limits, and more. This session will show you how the Kubernetes container management system and Istio service mesh can simplify many of the operational challenges of microservices, including an in-depth live demo. Rate this session by signing-in on the I/O website here → https://goo.gl/Ba7duU Watch more GCP sessions from I/O '18 here → https://goo.gl/qw2mR1 See all the sessions from Google I/O '18 here → https://goo.gl/q1Tr8x Subscribe to the Google Cloud Platform channel → https://goo.gl/S0AS51 #io18
Views: 101064 Google Cloud Platform
Big Data for Training Models in the Cloud (AI Adventures)
 
03:19
What do you do when your data is too big to fit on your machine? In this episode of Cloud AI Adventures, Yufeng walks through some of the options and rationale for putting your big data in the cloud. Associated Medium post "Big Data for Training Models in the Cloud": https://goo.gl/XYL9uV Google Cloud Storage: https://goo.gl/MbeKRy gsutil: https://goo.gl/6v9Tac Google Transfer Appliance: https://goo.gl/cfZynF Data transfer guide: https://goo.gl/m37jQN Cloud machine learning: https://goo.gl/Ds9q2F Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 16457 Google Cloud Platform
Google Cloud Encryption at Rest
 
02:17
At Google Cloud, customer data is encrypted at rest by default. Check out our video to learn all about the mechanisms used by Google to encrypt data at rest.
Views: 3771 Google Cloud Platform