Google Bucket
Author: Ronald Fung
Creation Date: 7 June 2023
Next Modified Date: 7 June 2024
A. Introduction
The Buckets resource represents a bucket in Cloud Storage. There is a single global namespace shared by all buckets. For more information, see bucket name requirements.
Buckets contain objects which can be accessed by their own methods. In addition to the acl property, buckets contain bucketAccessControls, for use in fine-grained manipulation of an existing bucket’s access controls.
A bucket is always owned by the associated project’s projectOwner convenience value.
B. How is it used at Seagen
As a biopharma research company, Seagen may have a need to store and manage large amounts of data, such as genomics data, clinical trial data, and research data. Here are some ways Seagen can use Google Cloud Storage buckets:
Genomics data storage: Seagen can use Google Cloud Storage buckets to store and manage genomics data, including DNA sequencing data, variant data, and related metadata. Google Cloud Storage buckets provide high scalability and durability, making it an ideal storage solution for large-scale genomics datasets.
Clinical trial data management: Seagen can use Google Cloud Storage buckets to store and manage clinical trial data, such as patient data, trial protocols, and outcomes data. Google Cloud Storage buckets provide fine-grained access control, allowing Seagen to control who can access the data and how they can access it.
Research data storage: Seagen can use Google Cloud Storage buckets to store and manage research data, such as experimental data, lab reports, and scientific publications. Google Cloud Storage buckets provide lifecycle management features, allowing Seagen to automatically transition objects to different storage classes or delete them after a certain period of time.
Backup and disaster recovery: Seagen can use Google Cloud Storage buckets for backup and disaster recovery purposes. Google Cloud Storage buckets provide high durability and multiple copies of data stored across different locations, ensuring that data is protected in the event of a disaster.
Integration with other Google Cloud Platform services: Google Cloud Storage buckets integrate with a wide range of other Google Cloud Platform services, including BigQuery, Dataflow, and Compute Engine. This integration allows Seagen to perform advanced analytics on their data and gain insights that can inform their research and development efforts.
Overall, Google Cloud Storage buckets can help Seagen store and manage large-scale data sets, including genomics data, clinical trial data, and research data. By using Google Cloud Storage in conjunction with other Google Cloud Platform services, Seagen can perform advanced analytics on their data and gain insights that can inform their research and development efforts.
C. Features
Google Cloud Storage is a service that allows you to store and retrieve data in the cloud. Google Cloud Storage uses a concept called buckets to organize your data. Here are some key features of Google Cloud Storage buckets:
Scalability: Google Cloud Storage buckets can store an unlimited amount of data, making it a highly scalable storage solution.
Durability: Google Cloud Storage buckets provide high durability for your data, with multiple copies of your data stored across different locations.
Access control: Google Cloud Storage buckets provide fine-grained access control, allowing you to control who can access your data and how they can access it.
Lifecycle management: Google Cloud Storage buckets provide lifecycle management features, allowing you to automatically transition objects to different storage classes or delete them after a certain period of time.
Versioning: Google Cloud Storage buckets support object versioning, allowing you to keep multiple versions of an object and retrieve them as needed.
Integration: Google Cloud Storage buckets integrate with a wide range of other Google Cloud Platform services, including BigQuery, Dataflow, and Compute Engine.
Cost-effective: Google Cloud Storage buckets are a cost-effective storage solution, with a variety of storage classes to choose from based on your data’s access patterns and performance requirements.
Overall, Google Cloud Storage buckets provide a highly scalable, durable, and cost-effective way to store and retrieve data in the cloud. With fine-grained access control, lifecycle management, and integration with other Google Cloud Platform services, Google Cloud Storage buckets are a powerful storage solution for a wide range of applications.
D. Where Implemented
E. How it is tested
Testing Google Cloud Storage buckets involves ensuring that the buckets are functioning as expected and that data is being stored and retrieved correctly. Here are some ways to test Google Cloud Storage buckets:
Create test data: Create a small set of test data that represents the data you will be storing in Google Cloud Storage buckets. This will allow you to test the system’s ability to store and retrieve data.
Use the Cloud Storage command-line tool: The Cloud Storage command-line tool allows you to interact with Google Cloud Storage buckets and test their functionality. You can use the tool to create buckets, upload data, and perform queries.
Use the Cloud Storage client libraries: Google provides client libraries for a number of programming languages, including Java, Python, and Go. You can use these libraries to test your application’s interactions with Google Cloud Storage buckets.
Monitor performance: Use Google Cloud Storage’s monitoring tools to monitor the system’s performance and ensure that it is functioning as expected. You can use tools like Stackdriver to monitor performance metrics and set up alerts for issues.
Test access control: Test your access control settings to ensure that only authorized users have access to your data. You can use the Cloud Storage command-line tool or client libraries to test access control settings.
Overall, testing Google Cloud Storage buckets involves creating test data, using the Cloud Storage command-line tool or client libraries, monitoring performance, and testing access control settings. By testing the system thoroughly, you can ensure that it is functioning as expected and that your applications are interacting with Google Cloud Storage buckets correctly.
F. 2023 Roadmap
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G. 2024 Roadmap
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H. Known Issues
Google Cloud Storage buckets are a reliable and scalable storage solution, but like any technology, they have some known issues that users should be aware of. Here are some of the most common known issues for Google Cloud Storage buckets:
Limited consistency guarantees: Google Cloud Storage buckets provide eventual consistency for object listings and metadata updates. This means that it may take some time for changes to propagate across different regions and storage nodes. Users should design their applications to handle these consistency guarantees.
Cost: Google Cloud Storage buckets are a pay-per-usage service, and costs can quickly add up for users with large data sets or high-throughput workloads. Users should carefully monitor their usage and consider using cost-saving measures, such as data compression and efficient query design.
Access control issues: While Google Cloud Storage buckets provide fine-grained access control, misconfigured access control settings can lead to data leaks or unauthorized access. Users should carefully review their access control settings and ensure that they are correctly configured.
Limited indexing: Google Cloud Storage buckets do not provide indexing capabilities for object data, which can make it difficult to perform efficient queries on specific objects. Users must design their data models carefully to ensure efficient querying.
Service outages: Like any cloud service, Google Cloud Storage can experience service outages or disruptions. Users should have contingency plans in place to mitigate the impact of these outages.
Overall, Google Cloud Storage buckets are a reliable and scalable storage solution. Users should be aware of these known issues and take steps to optimize their applications to ensure efficient querying, minimize costs, and manage access control and consistency guarantees. By carefully monitoring usage and performance, and designing applications with these issues in mind, users can take advantage of the benefits of Google Cloud Storage buckets while minimizing their impact on their operations.
[x] Reviewed by Enterprise Architecture
[x] Reviewed by Application Development
[x] Reviewed by Data Architecture