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2021 iThome 鐵人賽

DAY 14
0

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

應用

Region Class Data Function Mini. Duration EX Lab
Multi-Regional Storage Hot 異地備份 billing
Nearline Storage Cold 資料備份 30 Days 通聯資料
Coldline Storage Cold 線上備份、救援回復 90 Days 契約(稽核用) Cloud Storage: Qwik Start - Cloud Console

Reference


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:

GCP x Qwiklabs - free

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/


上一篇
Day 13: Monitor and Log with Google Cloud Operations Suite: Challenge Lab
下一篇
Day 15: GCP-Storage
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