When Public Cloud was first introduced, it took the world by storm. The fact that organizations could access resources based on their need and pay only for what they consumed made Public Cloud a great business enabler
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.
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.
The technology world is looking for flexible IT infrastructure that will easily evolve to meet changing data and performance requirements in support of the onslaught of upcoming and lucrative use cases.
Edge computing is the critical architecture for enabling most 5G use cases. However, requirements and expectations from edge node in terms of computing resources is in question, and with the growing number of devices and data it could become cumbersome.
L8istSh9y Podcast and Calsoft Inc. collaborated and had a discussion on the value of NFV for Telecom and Edge Computing. The guests invited were Pavan Gupta and Kiran Divekar, Software Architects, at Calsoft Inc. the podcast was hosted by Stephen Spector (Senior Director Digital Marketing, EdgeGravity by Ericsson) & Rob Hirschfeld (CEO, RackN).
This blog explains where cloud-native approach in NFV been this year and where it’s headed.
it is clear that most vendors are focused towards utilizing public cloud or hybrid cloud environments to archive the long-term data. Use of the hybrid cloud means that private cloud can be used to store data, which is bound by compliance and security norms critical to organizations.
This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.
Open dedupe is feature rich open source dedupe mechanism which provides support for local as well as cloud storage. And it can be very easily scaled out. Open dedupe is great fit for various data protection product, long term retention, virtualization, scale out storage’s. It also works with share point.