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On its own, big data can lead to analysis paralysis, muddying network waters with vast amounts of raw information and no clear way to use it. With the help of IT operations analytics (ITOA), however, big data results in dramatically better network visibility. Network analytics tools offer valuable insight into performance history, helping pinpoint past problems so managers can prevent them from happening again.
This issue of Network Evolution explores how algorithmic IT operations platforms (AIOps) -- the next generation of network analytics tools -- take ITOA to the next level. AIOps identify inconsistencies and errors in real time, sometimes highlighting issues before they significantly affect performance, placing network managers squarely ahead of the curve. Analysis paralysis? Not a chance. We look at how some of these network analytics tools even automate web fixes, effectively turning analytics into action.
Also in this issue, we explore why workers increasingly eschew company-provided collaboration applications in favor of unapproved tools ("Land and expand: Unsanctioned apps gain ground") and what has driven so many organizations to abandon their in-house network test labs ("Not your parents' test lab: A new era of network testing").
SDN analytics mean smarter networks
Real-time analytics good for business
Why networks need more than just big data