Network Management Concepts In Organisations Discussions Hi Ryan , we give comment for each submission from other people for the paper that we did about Ma
Network Management Concepts In Organisations Discussions Hi Ryan , we give comment for each submission from other people for the paper that we did about Management ConceptsSmply agree or disagree like or not ?Please see attached image Networking is the center of information technology and most businesses. Over the years, network infrastructures have continuously transform as new advancements in technology become available. For example, new developments in Cloud technology, has created new value and
has become a platform for many recent IT trends. Another example is server virtualization, the process of masking physical servers into virtual servers, has become increasingly popular among IT and businesses. The research summary, Managing Networks in the Age of Cloud, SDN,
and Big Data, Network Management Megatrends 2014 “examines five major areas of change and evaluation affecting network management” (Frey & Corbo, 2014, p.1.). From my readings, the two network concepts I enjoyed reading and learning about were:
Network Management Concept 1
One of the major concepts discussed in this research paper that Cloud and Virtualization technologies. Although these advances are still a work in progress, virtualization makes it possible to make one computer (or server) act as if it were multiple computers (or servers)”
(Frey & Corbo, 2014) (White, 2016, p. 226). A concept growing increasingly popular because it greatly reduced capital ventures, along with being space saving and more energy efficient. Cloud computing is “a method of availing computing resources from a provider, on demand,
by a customer using a computer connected to a network (usually the Internet)” (Rajaraman, 2014, p. 245). Due to external cloud services being built upon virtualization technologies, the subscribers will only have access to virtual elements (Frey & Corbo, 2014).
Notably, IT organizations currently have great visibility and control within an internal data center network. On the other hand, as cloud technology becomes mainstream, the tools available to access and control the cloud’s environment and infrastructure are inadequate.
Due to the lack of visibility and control within an external cloud environment, users of this technology must ensure proper security and software is available. Reduced visibility and control when using a cloud network makes the monitoring and analysis of information more difficult
compared to an internal data center.
Network Management Concept 2
Another major concept discussed in this research summary is that big data corresponds with big impact. Interesting, when it comes to big data infrastructure a analysis, there are far fewer new technologies than vendors would have you believe (Frey & Corbo, 2014). This
type of analytics is often incompatible with most commonly used software tools. Big data analysis is “a field concerned with guided/automated mining and analysis of data contained within such big data stores” (Frey & Corbo, 2014, p. 15).
Big data analytics is most commonly used during network planning, operations monitoring, and troubleshooting diagnostics (Frey & Corbo, 2014). Further, the analytics exported during these phases are often used for broader big data projects. Big data technology is
impacting the majority of organization networks. Overall, the clear takeaway is that big data technologies are impacting networking in a way that makes it relevant to network monitoring and management” (Frey & Corbo, 2014, p. 17).
Things seem to be coming together a bit more and although I still feel as if I’m struggling quite a bit in this class and don’t understand how networks work, my big take away from this week’s reading is in understanding of how
vast and differentiated data networking is – once you get beyond cables and the basic hardware of week one – data networking is, at its core, understanding the different options and technologies available. Hopefully it’s not
required to fully understand all the technologies, but to be a master of one or more, and understand the capabilities and limitations in different situations. An analogy: I’m a data nerd. We have about five different Electronic
Medical Records (EMR) systems at my job. I don’t know all of them, but I know one of them extremely well, well enough to teach it to others on different teams. Isn’t data networking the same?
What leads me to believe this to be the case is the graph on page six of Frey and Corbo’s Managing Networks in the Age of Cloud, SDN, and Big Data: Network Management Megatrends 2014. Ten percent of large (5,000 plus
employees) organizations have over 25 network monitoring and troubleshooting tools in place. It stands to reason that a network analyst can get a good foot in any door by becoming an expert in any one or two of these tools and
learning as much as possible about the others as time goes on.
There are several factors that drive the adoption of new network tools and technologies including network security. WAN optimization, cloud projects, WLAN upgrades, network based application and delivery control, network
upgrades, and network function virtualization (Frey & Corbo. 2014). Network security should be a top priority of any organization, mitigating and reducing threats from inside the organization as well as outside. Security threats
are predicted to get worse, not better (Fruehe. 2018). Newer technology solutions for the drivers above are emerging all the time – there is always something newer, better, faster, and more expensive on the horizon.
Data nerds and network nerds need to work together. As big data, data mining, and data analytics evolve to provide quicker, cleaner data with real time predictive capabilities, network systems are increasingly burdened.
Companies are reporting increased traffic load due to big data back up and storage (38%) and increased traffic due to big data collection (31%) – a trend that required increased cooperation and communication between system
administrators and network analysts (Frey & Corbo, 2014).
Lastly, as with any business sector, understanding network trends can help predict economic and employment trends. Understanding that the Managing Networks report is now five years on in 2014 it contained valuable
predictive information about how 90% of companies planned to increase or maintain WAN connectivity (Frey & Corbo, 2014). This is a re-assuring trend for network analysts and anyone considering entering this growing job
market. Further, nearly half of the companies surveyed planned to move to local broadband connections via general or managed internet options, another predictor of where job markets may open up, as well as a trigger to invest
in companies that provide those local broadband connections (Frey & Corbo, 2014).
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