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What's New in Cloud Compute (Recap Cloud Next 2...

S-YOU
April 16, 2019

What's New in Cloud Compute (Recap Cloud Next 2019)

Google Cloud Next 2019 @ San Francisco

S-YOU

April 16, 2019
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  1. What’s new in Cloud What’s new in Cloud Compute (Recap)

    Compute (Recap) Google Cloud Next 2019 @ San Francisco Google Cloud Next 2019 @ San Francisco
  2. Self Introduction Self Introduction using Go at current work, javascript

    at previous job used Python/wxPython before Some Ruby (at work), Crystal, C/C++ Using Go and Kubernetes (GKE) at Work Went to Cloud Next 2019 @San Francisco last week Neither native in English or Japanese https://github.com/S-YOU
  3. Full stack serverless on Google Cloud Full stack serverless on

    Google Cloud App Engine Cloud Functions
  4. App Engine Standard Recap App Engine Standard Recap Web App

    Node, Python, Java, Go, Ruby, PHP, .NET App versioning, traffic splitting, https, custom domains, firewall, logging, monitoring, alerting
  5. Whats New in App Engine Whats New in App Engine

    Runtimes PHP 7.2 GA GO 1.11 GA Node.js 10 GA Java 11 Alpha Ruby 2.5 Alpha
  6. Max instances sets an upper bound to number of instances

    of a single cloud function will be in queue if more instances needed
  7. Per-Function Identity (IAM) can attach service account per cloud function

    gcloud beta functions deploy ... --service-account ...
  8. New Regions 1. US Central, 2. US East, 3. Belgium,

    4. Tokyo (Existing) 5. London (eu-west2), Hong Kong (asia-east2) - NEW!
  9. Cloud Tasks Cloud Tasks Async task execution Retry Policy, Retry

    Limit Dynamic Scheduling Dynamic HTTP targets Native GCP Auth (IAM) on HTTP
  10. Cloud Scheduler Cloud Scheduler Fully managed Cron job service Repeating

    Executions Configurable Retry Direct HTTP targets Native GCP Auth (IAM) on HTTP
  11. Recap on Serverless and Container Recap on Serverless and Container

    Serverless Source-driven No-ops Pay for usage Containers Container-driven some (lots of) ops Pay for instances
  12. fully managed or in your GKE cluster, consistent API &

    tooling, portable with Knative without vendor lock-in