Google Cloud Newsletter, Oct 2018 | The cloud developer cheat sheet

News, research, and resources for the Google Cloud community.

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NEWSLETTER | OCTOBER 2018 The Google Cloud developer cheat sheet. All 160 products and services, from Access Transparency to Zync Render, in four words or less. Get the sheet

Cloud SQL private networking: lower latency, higher security. Secure your Cloud SQL instance    Cloud Tasks helps make your App Engine apps more responsive – and reliable. Learn more    New Google Cloud Platform support models: Role-Based and Enterprise. Learn more    PLATFORM NEWS Letting go: How we manage data deletion on Google Cloud Platform. Secure data deletion is a critical component of app development. This comprehensive overview explains GCP data-deletion policies, while new Access Transparency logs provide visibility into how and when Google accesses your data. Kubernetes 1.12: Scale faster with greater transparency. New features include affinity scheduling that's 100 times faster for large clusters, plus advanced auditing. Over on GCP, we're making Kubernetes a first-class citizen with container-native load balancing. Let your data tell its story with Data Studio visualization and Cloud Dataprep. Explore and enrich data with fully managed Cloud Dataprep, or try your hand at data storytelling with Data Studio. Get an org-wide snapshot of your GCP resources and policies with Cloud Asset Inventory. Monitor, track, and audit your GCP deployments no matter how large or complex. With a single API call, Cloud Asset Inventory delivers a snapshot of your inventory for a wide variety of GCP resources and policies. RESOURCES Extend G Suite with the power of GCP: Build a serverless app to add custom intelligence to Gmail. Create your own machine learning app for Gmail – or turn BigQuery data into an exec-ready slide presentation with Sheets and Slides. Designing and implementing your disaster-recovery plan using GCP. Manage and mitigate service-interrupting events for data, apps, and cross-platform scenarios by using GCP to build targeted, tested disaster-recovery plans. Show off your GCP data-storytelling skills for a chance to win. College and grad students: Enter Visualize 2030 by Nov 16, and tell a data story about the United Nations' Sustainable Development Goals with Data Studio for a chance to win $10,000. Building Google Dataset Search and fostering an open data ecosystem. Search millions of datasets worldwide – and add your own. Learn how Google Dataset Search encourages data sharing and greater accessibility. Using machine learning to learn about machines: GCP, predictive maintenance, and industry 4.0. As factories become intelligent, integrated, and data driven, ML can help make them faster, safer, and more reliable. Read the first of this three-part series. Is that a device driver, golf driver, or taxi driver? Build custom models with AutoML Translation. Create custom translation models for your apps to provide specific context – and use Cloud Functions to call any of our ML APIs or Cloud AutoML models. Syncing millions of records a day to BigQuery: Our experience moving from App Engine to Kubernetes Engine. Read how online fashion store Namshi analyzes browsing behavior in its apps by syncing over 30 million events per day from Kubernetes Engine to BigQuery. UPCOMING EVENTS Let's Talk AI. Explore how to prepare your data for an AI-first future at this digital conference. Nov 14: Americas Nov 15: APAC and EMEA Women in Machine Learning Workshop 2018 Dec 3   KubeCon | CloudNativeCon Dec 10–13 CLOUD ONAIR Join live Cloud OnAir webinars held weekly by Google Cloud experts. CLOUD ONBOARD Attend Cloud OnBoard, a series of free training events that offer a technical introduction to Google Cloud Platform. GCP PODCAST Listen to the GCP Podcast, a weekly roundup of interviews with experts, answers to listener questions, and the Cool Things of the Week segment. KUBERNETES PODCAST Each week, the Kubernetes Podcast covers the latest news and insights from the growing Kubernetes community. OVERHEARD @PicardParis "First actual case of bug being found" or how to fix a bug with your logs ;) https://en.wikiquote.org/wiki/File:H96566k.jpg … Grace Hopper popularized the term "bug" 70+ years ago. @martin_gorner Google Cloud Platform now has preconfigured deep learning images with Tensorflow, PyTorch, Jupyter, Cuda, and CuDNN already installed. It took me some time to figure out how to start Jupyter on such an instance. Turns out it's a one liner: Follow us on social media. Add your voice to the conversation and get the latest news, views, and insights.

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