There’s a common thread in recent articles: object storage and hybrid cloud will be a BIG deal in 2017. We’ve curated some recent articles that delve into these topics, and related topics including private cloud and tiering to the public cloud.
While Amazon Web Services (AWS) remains the dominant force on the scene, Microsoft and Google are continuing to ramp up their efforts in hybrid cloud to try and wrestle away some of AWS’s grip. Meanwhile, AWS is fighting back with the release of Greengrass software and Snowball hardware.
In 2017, we’ll see CIOs start reducing the amount of data being moved to the cloud due to high costs. More enterprises will instead pull back data back in-house, only utilizing the public cloud for certain types of data.
IT professionals will continue to face challenges with the costs of management, automation, and optimization. They’ll need to figure out how to manage these costs while maintaining a quality experience for their customers.
It’s undeniable that the public cloud is useful, but when enterprises indiscriminately move all their data to the cloud, they may be eating a higher cost than they should. 30-40% of enterprise apps actually cost more on the cloud than on-premises. It’s important to consider all the characteristics of an app, from the software code to security requirements.
How do you build your own private storage cloud? IT expert Chris Evans provides a thorough guide on how to integrate the standard characteristics of cloud: elasticity, delivery as a service, multi-tenancy, on-demand access, and reporting and billing.
Object storage is a fairly new type of storage, but it’s been continuously growing into something more and more vital. In addition to allowing customers to hold large amounts of unstructured data, object storage can also hold any type of data. Among the lengthy checklist of benefits, major ones to consider include:
- Infinite scalability
- Long-term data retention and durability
- Customizable metadata for better search and indexing
- High throughput when handling a high level of concurrent requests
- Flexibility to use commodity hardware
- Protocol support (e.g., Amazon S3)
- Lower total cost of ownership