Powering Edge With Kubernetes: A Primer

Adoption of Kubernetes into data centers or cloud has been remarkable since it was released in 2014. As an orchestrator of lightweight application containers, Kubernetes has emerged to handle and schedule diverse IT workloads, from virtualized network functions to AI/ML and GPU hardware resources.

[Infoblog] Kubernetes and Microservices

Kubernetes supports a microservices architecture through the service construct. It allows developers to abstract away the functionality of a set of Pods and expose it to other developers through a well-defined API.

[Infoblog] Data Management in IoT

View an infoblog on IoT Data management

Is the Public Cloud in decline?

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

Analyzing Business Impact of Cloud Modernization

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.

Distributed Application Architecture for Edge-Based Service Delivery

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.

Addressing the Concerns of Data Management and Sovereignty in Multi-Cloud and Edge

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.

Serverless at the Edge: Resolving Resource Utilization Concerns

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.

Value of NFV for Telecom and Edge Computing

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).

Where the Cloud Native Approach is Taking NFV Architecture for 5G

This blog explains where cloud-native approach in NFV been this year and where it’s headed.