The Do’s and Don’ts of Wi-Fi Capacity Planning

the-dos-and-donts-of
Understanding your network requirements is one of the most important components of designing and managing your network. And one of the biggest pieces of that is planning for capacity. You have to take into account utilization, bandwidth, applications, current network capacity and other network constraints. Since every environment is different, all network engineers are challenged with documenting and translating these considerations into a high performing network plan.
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OTHER ON-DEMAND WEBINARS

ThinLinc Linux Remote Desktop ServerTechnical Deep Dive - On-Demand Webinar

Join this IGEL Community Webinar for a deep dive in to the ThinLinc Linux Remote Desktop Server solution. You will be able to ask any question. We can answer anything ranging from installation questions and features to implementation details and development plans.In this webinar, we’ll cover:
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Modernize your Data Center with VMware Hyper-Converged Solutions

Dell Emc

In the world of Multi-Could environments the importance of having an agile and resilient infrastructure is essential to keep up with the demands of business. This webinar will showcase the flexibility and choice VMware offers to help customers build a Cloud ready environment with HCI.
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Virtualization AND Containers with Kubernetes

VMUG

Let’s explore the basics of Kubernetes clusters, including the many layers composed of both virtualization and containers that make every single cloud based Kubernetes cluster possible. We can dig into the pros and cons of both sets of tools, and consider the possibilities for the future. What would a Kubernetes cluster using only virtualization look like? What would the advantages and disadvantages be? Together we’ll wrap our heads more tightly around the technologies that are defining cloud native.
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Big Insights from Your Big Data using Data Virtualization

Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems.
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