Ahead in the Cloud

| July 1, 2017

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We have long been advocates of moving business operations into the cloud. The remote access, cost-savings and organizational benefits alone make it a no-brainer.

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Sandhata Technologies

We are a global niche consultancy specialising in services that span all facets of IT transformation, Integration, DevOps and Continuous Delivery.

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8 reasons to consider hyperconverged infrastructure for your data center

Article | March 1, 2020

Demand for on-premises data center equipment is shrinking as organizations move workloads to the cloud. But on-prem is far from dead, and one segment that’s thriving is hyperconverged infrastructure (HCI). HCI is a form of scale-out, software-integrated infrastructure that applies a modular approach to compute, network and storage capacity. Rather than silos with specialized hardware, HCI leverages distributed, horizontal blocks of commodity hardware and delivers a single-pane dashboard for reporting and management. Form factors vary: Enterprises can choose to deploy hardware-agnostic hyperconvergence software from vendors such as Nutanix and VMware, or an integrated HCI appliance from vendors such as HP Enterprise, Dell, Cisco, and Lenovo.

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IT modernisation series – Rancher Labs: Kubernetes is a catalyst

Article | March 17, 2020

In this series of articles we investigate how organisations are approaching the modernisation, replatforming and migration of legacy applications and related data services. We look at the tools and technologies available encompassing aspects of change management and the use of APIs and containerisation (and more) to make legacy functionality and data available to cloud-native applications. This post is written by Olivier Maes, VP EMEA for Rancher Labs – the company is known for its work in operating-system-level virtualization tools. IT modernisation can be intimidating, but it’s a necessity. Businesses that continue to rely on legacy technologies risk being left behind, while those that embrace digitalisation gain a competitive advantage.

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VMware Adds More Hybrid Cloud Features to Network Virtualization Tech

Article | April 8, 2020

VMware on Wednesday announced new versions of its NSX-T and vRealize Network Insight software that simplify network virtualization and improve network visibility and security. The two products, along with VMware SD-WAN by VeloCloud, make up VMware’s Virtual Cloud Network, the company’s portfolio of software defined networking (SDN) technologies. It allows enterprises to deploy and manage network connectivity and security from internal data centers and branch locations to multi-cloud environments. While previous versions of NSX-T network virtualization and security software for data centers added support for public clouds and platforms that run containers on bare metal, the latest release, NSX-T 3.0, adds new networking and security features that improve the company’s vision to deliver a public cloud experience on premises, VMware executives said.

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Cisco and Microsoft partner on cloud IoT stuff

Article | March 5, 2020

The move was announced in a Microsoft blog, which somehow resisted the urge to use the term ‘end-to-end’ a lot. The thinking is that Microsoft’s Azure IoT platform is great at the datacenter end of things and Cisco is pretty hot at the edge. Industries increasingly want a bit of both from their IoT so this partnership has been created to provide that.Using software-based intelligence pre-loaded onto Cisco IoT network devices, telemetry data pipelines from industry-standard protocols like OPC-Unified Architecture (OPC-UA) and Modbus can be easily established using a friendly UI directly into Azure IoT Hub,” explains the blog, “Additional telemetry processing is also supported by Cisco through local scripts developed in Microsoft Visual Studio, where filtered data can also be uploaded directly into Azure IoT Hub. This collaboration provides customers with a fully integrated solution that will give access to powerful design tools, global connectivity, advance analytics, and cognitive services for analyzing IoT data.

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