View an infoblog on IoT Data management
Based on IDC analysis, business agility and/or the need for speed from IT and improved security are the top most important trigger factors for considering cloud, in contrast to cost. The market is in need for more consistent and standardized automated cloud resources to enable developers and line-of-business to execute at speed and in a more cost-effective manner.
Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.
Cloud Modernization may be used in varied sense of its meanings. However for businesses, it means, transforming your infrastructure and applications so that cloud provides best ROI on an ongoing basis. Using cloud modernization to unlock the value of your applications and data, by synergizing them with modern tools of analytics and AI.
View our infographic on 5G technology overview and use cases.
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.
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.
Here, we will discuss kubernetes (k8s), Docker swarm and Mesosphere (Mesos) orchestration engine with their features and limitations. We are not going to discuss orchestration engines in details.