At a high-level Container Attached Storage is software that includes microservice based storage controllers that are orchestrated by Kubernetes. These storage controllers can run anywhere that Kubernetes can run which means any cloud or even bare metal servers or on top of a traditional shared storage system.
Blockchain-enabled data storage seems to provide the advantages described above. The question is, in the context of the Enterprise how long will it be before business leaders consider it proven enough to dive in?
Physical servers and storage equipment are a data center reality. How can we ensure that the workloads are distributed correctly across this infrastructure?AI and Machine Learning can come to the rescue here as well. With these technologies, data centers can distribute workloads equally and efficiently across these servers.
Now, as the focus of many enterprises and technology vendors started to shift to edge, a new architecture may evolve as distributed applications have a different environment with a different type of latency requirement.
Industries had undergone three revolutions till. First being, mechanization and using indirect combustion for powering up mechanization through water and steam power (Industry 1.0). Second revolution brought complicated machinery for mass production and used electrical power (Industry 2.0).
With around 30 billion connected devices out there, the Internet of Things (IoT) is no longer just a buzzword. It’s very much a part of our reality. It has already started proving itself useful in the supply chain, manufacturing, automobiles, and predictive maintenance areas
There’s no longer any room for doubt that AI is transforming how the world operates. The effect of AI will only become more and more pronounced. Experts predict that the use cases of the future will be no different from the stuff sci-fi movies are made off. The question is, how will it disrupt your business model?
The software development industry sure has changed. We used “waterfall” to build software products in a phased, sequential manner. Then the Software Development Life Cycle started becoming less relevant. From Agile and DevOps to automated testing, and mobile and cloud technology –disruption hit the software development process.