GCP Classroom Series – 31/Mar/2021

Google Cloud Storage (GCS)

• GCS is used to store the unstructured data such as images, vidoes and other static content as well as backups, disaster recovery.

• GCS stores data in the form of objects on an underlying proprietary distributed file system called as Colossus

• We can transfer the data in our out of GCS using gsutil

• Different offerings by Google based on usecase

• Cloud Storage is simple an user friendly (think of Google Drive)

• We dont need to allocate capacity

• We can store files till infinity. GCS supports datasets of any size

• Each file cannot have size more than 5 TB

• This supports 5000 writes adn 1000 reads per second

• In GCS when we want to store the data we need to create the storage buckets

• Basic Terminology

  • Buckets are basic containers that hold your data. Each Bucket has collection of objects
  • Each bucket has a name which must be globally unique
  • Objects are individual pieces of data that you store in Cloud Storage
  • Object names are treated as object metadata. Object names should be less that 1024 bytes in length.
  • Object name should be unique with in bucket
  • Example object names
    • myphoto.jpeg
    • /year2021/jan/myphoto.jpeg

• The access to the data in the buckets can be done as shown below

• The objects in the GCS bucket are categories into two sections

  • Cold data: Accessed infrequently
  • Hot Data: Accessed frequently

Storage Classes

• Buckets are mainly divided into four classes based on their availabilty,demographic relevance and frequency of access
• Hot and available – Multi Regional:
  • This is Geo-Redundant. When we upload any data in this storage class two separte copies will be stored in two regions of gcp which are hundreds of miles away from each other
  • This is most expensive class of buckets and should be used only when we are certain of global traffic.
• Hot and local – Regional:
  • This is used for webapplications with highly concentrated traffic patterns with in a region
• Cool-Nearline: We use this storage class when we expect access data less frequently (once in a month). Here we pay less for storage and more for access
• Coldline: This is a cold storage facility for data that we would expect to access less than once in a year. Suitable for disaster recovery & long-term archival storage.
• Lets estimate some costs use pricing calculator Refer Here
  • We need to store 10 TB of data
  • Multi-regional

Working with GCS buckets

• Creating Buckets:
  • For creating buckets in GCP there are multiple ways Console, gsutil, REST API.
  • To create bucket we need three fiels
    • Region
    • Storage Class
    • Univesally unique name
• Creating a bucket using Web Console
• Creating buckets using gsutil:
  • For overview Refer Here and for installing if you dont have gsutil installed Refer Here
  • For command reference use the left hand pane Refer Here
  • Lets create a bucket using gsutil
  • Refer Here for the cli created in the class