adaptive IT infrastructures

| March 1, 2017

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In terms of the infrastructure of data centres, the focus is on the need to optimally adjust climate control across all levels. This not only includes the appropriate components and necessary architecture, but also higher-level control algorithms that adaptively adjust to demand.

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How to Rapidly Scale IT Infrastructure For Remote Workers

Article | April 13, 2020

Rapid IT infrastructure scaling is always challenging. In March 2020, the coronavirus caused a surge in remote workers as organizations switched overwhelmingly to work-from-home policies. Scaling IT infrastructure to support this sudden shift proved to be a struggle for IT teams, resulting in a migration to cloud-based applications and solutions, a rush on hardware that can support a remote environment, and challenges scaling VPNs to support remote worker security. Here are some of the insights and lessons learned from IT professionals.

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Graph machine learning in distributed systems: What you need to know

Article | April 13, 2020

Just as graphs make it easier for us to understand and act on complex data, graph machine learning can take graph theory a giant step further. But can it even help today’s service providers to improve reliability and predict anomalous behaviors in complicated distributed systems? Find out below…How much do you know about graph representation of data? Over the last two decades, graph theory has become increasingly popular in both research and industry. Among other areas, it has been used in epidemiology, medicine genetics, healthcare, banking and engineering to solve challenges such as routing, finding relation, path etc.

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Infrastructure as code vs. platform as code

Article | April 13, 2020

With infrastructure as code (IaC), you write declarative instructions about compute, storage and network requirements for the infra and execute it. How does this compare to platform as code (PaC) and what did these two concepts develop in response to? In its simplest form, the tech stack of any application has three layers — the infra layer containing bare metal instances, virtual machines, networking, firewall, security etc.; the platform layer with the OS, runtime environment, development tools etc.; and the application layer which, of course, contains your application code and data. A typical operations team works on the provisioning, monitoring and management of the infra and platform layers, in addition to enabling the deployment of code.

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ARE COMPANIES INVESTING TOO MUCH IN DIGITAL INFRASTRUCTURE?

Article | April 13, 2020

Data science and big data analytics have become the new must-haves for businesses across many industries. Gone are the days when algorithm development and large-scale data mining were confined to Silicon Valley. In the modern, tech-savvy age, it’s almost an afterthought that banks, insurance brokerages, healthcare entities, and other non-tech-sector companies seek to be “the next Apple/Google/Amazon” or whatever tech behemoth completes the C-suite’s bromide. This is true not just in word, but in deed.

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