Let’s discuss some advantages and disadvantages of using the mounted approach to run Linux utilities for network file systems.
It is interesting to watch the video megatrend move from rhetoric to absolute reality in the enterprise landscape, and to witness the depth of its penetration in the enterprise.
IoT, as we all know has taken the center stage in the past few years. Literally from many of the day to day appliances to automotive to flights, all data that the IoT devices send are taking the user experience and the analytics to the next level.
Kubernetes for storage is useful for storage administrator because it enables different forms of persistent, stateful data retention within Kubernetes clusters deployment, which are increasingly popular.
Kubernetes provides workload portability. That is, any workloads should spontaneously run on any type of infrastructure where Kubernetes clusters are deployed. In the case of handling stateful workloads, it may not easy to set up persistent storage but it is not impossible
Kubernetes has enabled applications to be cloud native, but application storage has not been enabled with cloud native features from the start. Rook bridges that big gap by making storage cloud native in conjunction with Ceph and other storage systems.
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.
With the new information generated per second for every human being predicted to hit 1.7 megabytes by 2020, the expectations from data are enormous. The ability to analyze critical data and unearth critical insights can take enterprises to an entirely different level.