Cloudmeter Retools For Network Big Data 'Gold Mine' – IT-TNA
Initially created in 2007 to address the wealth of network traffic data not being captured, the company realized that they could not only feed data to analytics, but also for Big Data intelligence insights, said Mike Dickey, founder and CEO. “The use …
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Internet Regulation Tests Bipartisanship
April 17, 2013 | 8:00 p.m.. Political battle lines have been drawn over a contentious piece of domestic Internet regulation: network neutrality, or the principle that every piece of Web traffic ought to be treated equally no matter where it's going or …
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Pioneer Digital Offers Unmatched SEO Services to Enhance Web Traffic
Dubai, India — (SBWIRE) — 04/18/2013 — Pioneer Digital offers highly efficient and result oriented SEO services. It also offers web design services in Dubai for better customer interaction. The company has a highly efficient and dedicated team of …
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Popular Questions
What does Cloudmeter’s retooling of network big data mean for IT teams?
Cloudmeter’s approach treats network data as a valuable source of operational insight rather than simply a stream of logs. Retooling that data can help IT teams identify traffic patterns, investigate performance issues, and recognize unusual activity more efficiently. The practical value depends on collecting relevant network information and turning it into analysis that supports daily decisions.
How can Cloudmeter turn network data into a “gold mine” for businesses?
Cloudmeter can create value by organizing large volumes of network information into patterns that teams can search and analyze. Those patterns may reveal application usage, congestion, service-impacting events, and other conditions that are difficult to see in raw traffic records. Businesses should connect the resulting insights to clear operational goals instead of collecting data without a defined use.
What network problems can Cloudmeter’s big-data tools help investigate?
Cloudmeter’s network big-data capabilities can assist with investigating slow applications, unexpected traffic changes, and recurring performance problems. IT staff can compare activity across users, applications, devices, or time periods to narrow the scope of an incident. Effective investigations require consistent data collection and carefully chosen filters so analysts can separate meaningful signals from normal network activity.