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Think About Migration of Your Existing vCP to 6.7/7.0
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VMware Project Pacific – Technical Overview
This project is Open source has a lot of potentials to improve, custom CRDs and Controllers can be written to integrate new tools and stacks into the vSphere infrastructure as an instance creating a MongoDB CRD, controller that can deploy a MongoDB instance by just specifying the details in the manifest and the controller can then keep a watch on the desired state.
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[Infoblog] Kubernetes for Storage
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.
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Medhavi – A Framework for Making Infrastructure Intelligent...
This article is about an open-source platform, Medhavi, to be released in Open Infrastructure Summit 2019 in Shanghai.
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Demystifying Persistent Storage Myths for Stateful Workloads in...
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
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[Infoblog] DevSecOps: An Overview
DevSecOps means thinking about application and infrastructure security from the start. It also means automating some security gates to keep the DevOps workflow from slowing down. Selecting the right tools to continuously integrate security, like agreeing on an integrated development environment (IDE) with security features, can help meet these goals.
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Why kubelet runs as a system service in...
Why kubelet runs as a system service in K8S cluster and not as pod/daemonsets? Many people have this question in mind when they deploy k8s cluster.
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How is Kubernetes Leading the Game in Enabling...
Read this article to know about how NFV core is driven by cloud-native projects, lead by Kubernetes to the orchestration of most of the projects plus managing containerized network functions.
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Analysis of Kubernetes and OpenStack Combination for Modern...
How do Kubernetes and OpenStack integrate and what are the benefits? Sagar Nangare has the answers.
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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.
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Simplify Storage for Kubernetes with Rook and Ceph
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.
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Anomaly Detection in Machine Learning: Classification Algorithms vs...
Anomaly simply means something unusual or abnormal. We often encounter anomalies in our daily life. It can be suspicious activities of an end-user on a network or malfunctioning of equipment. Sometimes it is vital to detect such anomalies to prevent a disaster.
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Let’s go beyond QA and look at QE
By integrating quality at every step of the software development lifecycle, companies can create products that set new standards of quality in the market. It’s clear that Quality Engineering is now a strategic function with the potential to deliver a competitive advantage.
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[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.
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[Infoblog] Top 10 Worldwide IT Predictions 2019
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.
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Understanding Supervised Machine Learning
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.
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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
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