Cloud Object Storage as a Service: IBM Cloud Object Storage from Theory to Practice - For developers, IT architects and IT specialists
An IBM Redbooks publication
Published 17 March 2017, updated 10 June 2020
IBM Form #: SG24-8385-00
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Authors: Anil Patil, Deepak Rangarao, Harald Seipp, Maciej Lasota, Reginaldo Marcelo dos Santos, Rob Markovic, Simon Casey, Stephen Bollers, Vasfi Gucer, Andy Lin, Casey Richardson, Robert Rios, Ryan VanAlstine, Tim Medlin
The digital enterprise has resulted in an explosion of data, and data volumes are expected to grow in zettabyte scale in the next few years. This explosive growth is largely fueled by unstructured data, such as video, social media, photos, and text. IBM® Cloud Object Storage (previously known as Cleversafe®) provides organizations the flexibility, scalability, and simplicity required to store, manage, and access today's rapidly growing unstructured data.
Cloud Object Storage (COS) provides access to your unstructured data via a self-service portal from anywhere in the world with RESTful APIs, including OpenStack Swift API and S3-compatible API, enterprise availability, and security.
IBM COS is available in the following deployment models:
- Private on-premises object storage
- Dedicated object storage (single-tenant)
- Public object storage (multi-tenant)
- Hybrid object storage (a mix of on-premises, dedicated or public offerings)
This IBM Redbooks® publication focuses on the IBM COS public offering, IBM COS Public Services, and hybrid solutions leveraging this offering.
This book is for solution developers, architects, and IT specialists who are implementing Cloud Object Storage solutions.
Table of contents
Part 1. IBM Cloud Object Storage concepts
Chapter 1. Introduction to object storage
Chapter 2. Introducing IBM Cloud Object Store Public Services
Chapter 3. Getting started with IBM Cloud Object Storage
Part 2. IBM Cloud Object Storage use cases and scenarios
Chapter 4. Typical applications for IBM Cloud Object Storage
Chapter 5. Building a simple Web Gallery application
Chapter 6. Simple gateway scenario
Chapter 7. IBM Spectrum Protect integration
Chapter 8. VideoRecon Video Analytics
Chapter 9. Cognitive Call Center
Appendix A. Additional material
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