GOOGLE公雲使用案例

大綱

1. Introduction(Global view)
2. How to choose ?
3. Practice

Storage (冷資料/熱資料)

Terms

1. Minimum storage duration
   https://stackoverflow.com/questions/64442551/meaning-of-minimum-storage-duration-of-google-cloud-storage

2. Storage classes
   https://cloud.google.com/storage/docs/storage-classes

   Hot	Hotter	Colder	Cold

   | Standard | Nearline | Coldline | Archive |

3. Location
   https://cloud.google.com/storage/docs/locations

4. Google Storage-Pricing
   https://cloud.google.com/storage/pricing#archival-pricing

中/英 圖解

Source:

1. GCP SketchNotes
   • Storage Options

應用

Reference

• All you need to know about Cloud Storage

Monitor / Alert( 如何監控服務 / 如何發送告警訊息 )

How ➔ 如何監控服務

1. Create an uptime check
2. Monitor uptime checks

How ➔ 如何發送告警訊息

• Notification channels

Practice

Quest: Monitor and Log with Google Cloud Operations Suite

Document

https://cloud.google.com/monitoring

Cloud Monitoring - 影片筆記

• How Cloud Monitoring can help you monitor,troubleshoot, and improve your infrastructure and applications performance?

• Google Cloud's observability offerings

  • Provide visibility across your apps and infrastructure,regardless of whether your app is running in Google Cloud, On-Premises(本地), or in other clouds.

  

• Impossible all day looking at dashboards

  • Provide alerting where you can create policies

  • Allow you to define custom metrics unique to your application and business use cases

• Using the Metrics Explorer and Monitoring Query Language

  • Analze these metrics on the fly (即時分析指標)
    identify correlations, and easily add the corresponding charts to a dashboard.

• Consolid view (綜合視角)

  • Health and Performance of apps and infrastructure

• Spot anomalies

  • Using Google's data visualization tools, out-of-the-box dashboards

• How to access ?

  • Access Cloud Monitoring on the Google Cloud Console
    or using the APIs
    • GKE: Monitoring is enabled by default for clusters
    • VM: Install agent to get started
    • All GCP services: Pre-configured to automatically collect metrics

Refence:

YT-Cloud Monitoring in a minute

Recommend Service( AI / Machine Learning )

Google Search's Related Result:

• Recommendations AI
  • PS: 有文件但還沒找到對應的Qwiklab來實作

GCP x Qwiklabs - free

• The ML and AI track of the Google Cloud skills challenge
  

• 其他相關 Quest

  • (Quest) Advanced ML: ML Infrastructure
    • (Lab) Real Time Machine Learning with Google Cloud ML
    • (Lab) Awwvision: Cloud Vision API from a Kubernetes Cluster
    • (Lab) Distributed Machine Learning with Google Cloud ML
    • (Lab) Scikit-learn Model Serving with Online Prediction Using AI Platform
      

Google 機器學習三大服務:

1. AutoML
2. Cloud ML Engine
3. ML API

Reference:

1. https://blog.gcp.expert/google-cloud-automl-ml-engine-ml-api/

2. https://cloud.google.com/automl/

3. https://cloud.google.com/ml-engine/