Login
September 6, 2024|
Voiced by Amazon Polly |
Overview
Every class—Standard Storage, Nearline Storage, Coldline Storage, and Archive Storage—will be thoroughly covered, along with some additional storage options. Whether you’re looking for a solution to store frequently accessed data or need a cost-effective method for archiving infrequently accessed data, this guide will provide you with all the important aspects needed to make informed decisions. In this blog article, we will delve deeply into each of the many storage classes that Google Cloud offers.
Pioneers in Cloud Consulting & Migration Services
- Reduced infrastructural costs
- Accelerated application deployment
Introduction
A storage class is part of the metadata used by all objects. The availability and price model of an object is influenced by its storage class set.
When making a bucket, you can indicate a default capacity lesson for the bucket. When you add an object to a bucket, it inherits this storage class unless otherwise stated. Standard Storage is assigned the default storage class if no default storage class is specified when a bucket is created. Objects already in a bucket are unaffected by changes made to its default storage class.
Architecture Diagram
Standard Storage
For data that is accessed frequently, standard storage is best. (“hot” data) or data that is stored for only a short time.
Standard storage helps keep data co-located with the Google Kubernetes Engine cluster or Compute Engine instance that uses it when used in a region. Co-locating assets maximizes the execution of data-intensive computations and diminishes organized charges.
Using dual regions optimizes performance when accessing Google Cloud products in one of the mapped regions but increases availability by storing data in geographically separate locations.
When used in multiple regions, standard storage is suitable for storing data that is accessed globally.
Use Case – Standard Storage includes serving website content, streaming video, running interactive workloads, and providing data to support mobile and gaming applications.
Nearline Storage
Nearline storage is a very long-lasting, reasonably priced storage solution for storing rarely accessed data. When lower storage costs at rest are acceptable in exchange for slightly decreased availability, a 30-day minimum retention term, and the cost of data access, nearline storage is a better option than standard storage.
Nearline storage is ideal for reading or modifying data on average less than once a month. For example, if you continually append files to your cloud storage and plan to access those files monthly for analysis, near-line storage is a good choice.
Use Case – Additionally, nearline storage is useful for data archiving, long-tail multimedia material, and data backup. Note, however, that coldline or archival storage is more cost-effective for data accessed less than once a quarter due to lower storage costs.
Coldline Storage
Coldline storage is a highly long-lasting, extremely reasonably priced storage solution for data that is not frequently accessed. When reduced storage costs at rest are acceptable in exchange for a 90-day minimum storage period, somewhat poorer availability, and higher data access costs, coldline storage is a better option than standard or nearline storage.
Use Case – Coldline Storage is ideal for data you read or change only once a quarter. However, archive storage is more economical because it offers the lowest storage costs for data only kept for backup or archival purposes.
Archive Storage
The most reasonably priced and long-lasting storage option for online backup, disaster recovery, and data archiving is archive storage. In contrast to other cloud providers’ “coldest” storage options, data is accessible in milliseconds rather than hours or days.
Like nearline and coldline storage, archival storage is slightly less available than standard storage. Archival storage also has high data access, operational costs, and a minimum retention period of 365 days.
Use Case – Archival storage is ideal for data accessed less than once a year. For example:
- Cold Data Storage – Archival data such as B. Data kept for legal or regulatory reasons can be kept inexpensively as archival storage and still available when needed.
- Disaster Recovery – Disaster Recovery: Recovery time is crucial in the case of a disaster recovery occurrence. Cloud Storage provides low-latency access to data stored as archival storage.
Google Cloud Storage Use Case Example
Additional Classes
Google Cloud Storage supports several extra storage classes. Nevertheless, the Google Cloud dashboard does not allow you to customize these classes. You should use standard storage instead of one of these additional classes unless you already use one.
Multi-region storage:
Multi-regional storage is the same as standard storage, except that it can only be used for objects stored in multiple regions or dual regions.
Regional Storage:
Regional storage is the same as standard storage, except that it can only be used for objects stored in regions.
Durable low availability (DRA) storage:
Similar to standard storage, except:
DRA is more expensive to operate. DRA performs poorly, especially regarding availability (DRA’s SLA is 99% availability).
You can move data from DRA to other storage classes by performing storage transfers.
Conclusion
If you need data storage for Google Compute Engine instances, use Regional Storage. Use multi-region storage for website content, downloads, and application data. Nearline storage is the perfect solution for statistical data, regular backups, work files, and document archives. If you need archival of old data or disaster recovery suites, use coldline storage.
Drop a query if you have any questions regarding Google Cloud Storage Classes and we will get back to you quickly.
Experience Effortless Cloud Migration with Our Expert Solutions
- Stronger security
- Accessible backup
- Reduced expenses
About CloudThat
CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.
CloudThat is the first Indian Company to win the prestigious Microsoft Partner 2024 Award and is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, AWS GenAI Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner, AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, Amazon ECS Service Delivery Partner, AWS Glue Service Delivery Partner, Amazon Redshift Service Delivery Partner, AWS Control Tower Service Delivery Partner, AWS WAF Service Delivery Partner and many more.
To get started, go through our Consultancy page and Managed Services Package, CloudThat’s offerings.
FAQs
1. What are Storage Classes in GCP?
ANS: – Storage Class is part of the metadata used by all objects. When creating a bucket, you can specify a default storage class for the bucket. When you add an object to a bucket, it inherits this storage class unless otherwise stated.
2. What is the difference between Multi-regional and Regional Storage?
ANS: – Multi-regional Storage – Multi-regional storage is the same as standard storage, except that it can only be used for objects stored in multiple regions or dual regions. Regional Storage – Regional storage is the same as standard storage, except that it can only be used for objects stored in regions.
WRITTEN BY Ravi Kose
PREV
Comments