Data backup vs. data archiving – these topics aren’t so much an either or, but rather a necessary combination. With the increase in attacks that often include malware, employee sabotage, ransomware, and a host of other denial of service events, being able to recover your data is now a boardroom discussion.
Securing your company from cyber attacks can be a daunting task. External threats – including bad actors and rogue nation-states – continue to evolve their methods in an attempt to penetrate networks. Internal threats like disgruntled employees can permanently delete data before they leave. With the advent of “born-in-the-cloud” applications like Google/Gmail, O365, and others, IT organizations must become fully aware of what the service provider is responsible for backing up and what’s the responsibility of the end-user.
Most IT professionals understand the definitions of Big Data, but what they often struggle with is understanding how to monetize Big Data to deliver new insights for their organization. Ninety percent of all data was created in the past two years and continues to grow without limits. Truth be told, most IT departments focus on keeping the lights on by making sure that the hardware in their data centers stays up and running to keep the business moving. Big Data analytics are often times a “nice to have” and not a “need to have” solely based on limited internal resources, direction from the C-suite, and investment from the business. However, as IT transforms, IT becomes the business!
Projects are the lifeblood of an IT organization. Prioritizing projects are sometimes based on business drivers, like mergers & acquisitions, application development, or in some cases, refreshing legacy IT assets, all of which can be a very costly endeavor. Once these projects have been identified, companies can determine their staffing models.
The Internet of Things, or “IoT,” is constantly evolving and taking on new meanings as technology penetrates industries that generally have not relied on IT to grow. At its fundamental definition, IoT can be seen as the convergence of multiple technologies, including wireless communication, real-time analytics, machine learning, commodity sensors, and embedded systems. IoT is also the inter-networking of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity. These objects collect and exchange data, resulting in improved efficiency, accuracy, and economic benefit, in addition to reduced human intervention.
Windows 10……it’s time to make the move! Windows dominates the personal computer world, running by some estimates, more than 90 percent of all personal computers. Windows provides graphical user interface (GUI), virtual memory management, multitasking, and support for many peripheral devices. In addition to Windows OS for personal computers, Microsoft also offers operating systems for servers and personal mobile devices.
CMBD, also known as a Configuration Management Database, acts as a data repository warehouse of sorts for IT installations. They are used to keep track of the state of assets such as products, systems, software, facilities, and people at a specific point in time. IT directors are charged with keeping track of these assets to gauge how long they’ve been in service, service levels, end-of-life dates, and latest software versions, etc.
If you want a cloud infrastructure that delivers both compute-on-demand and end users demand performance, Turbonomic is the solution. Turbonomic for VMware VRealize automation provides your organization with the tools it needs to build and manage your private and hybrid-cloud environments.
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