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Don't Lose Sight of the Herd in a Cloud Migration

We’re quickly approaching an important inflection point in the cloud migration timeline. 451 Research estimates that by the end of next year, company-owned data centers will dip below 50% of primary IT environments as organizations move their IT investments to the cloud. They’re deciding overwhelmingly that they no longer want pets running their critical applications, they want herds of cattle.

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Level Up Your Nutanix Hyperconverged Monitoring

The demand for hyperconverged systems is being fueled by enterprise IT’s need to be more flexible and to emulate the services and speed of public cloud providers. Hyperconvergence eliminates separate storage vendors, storage device troubleshooting and storage networks while providing more granular scalability. The adoption of hyperconverged infrastructure with distributed computing architecture enables large IT teams to add resources on demand with increased flexibility.

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Reduce Toil and Maintain Security With Zenoss Cloud APIs

Managing the infrastructure monitoring system in a large-scale IT environment can be incredibly tedious. I’d be willing to bet that you’ve run into at least one of these issues or something similar. APIs exist because user interfaces can’t do everything, and we’re all very happy that they do! Zenoss Cloud supports two APIs: a JSON API for bulk administration and a streaming data ingest API to allow a wide variety of devices to publish data directly.

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Why Cisco UCS PM Users Switch to Zenoss Cloud

On July 16, 1969, the Apollo 11 space flight launched toward the moon carrying a crew of three. Several days later, on July 20, 1969, the United States successfully landed two humans on the moon. Neil Armstrong and Buzz Aldrin later relaunched from the moon’s surface to join Michael Collins and return to Earth, splashing down in the Pacific Ocean on July 24, 1969.

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How AIOps Helps Analyze Complex Machine Data

In our previous blog post, we discussed how AIOps tools can help analyze unstructured data to identify higher-level correlations that traditional IT monitoring tools wouldn’t be capable of. IT Ops teams are constantly bombarded with complex machine data, and to better monitor and troubleshoot IT environments, you must analyze and gain an accurate understanding of this data to evaluate how your systems are performing and proactively resolve any issues that may occur.

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I Came, I Saw, I Monitored: Troubleshoot Unified Communications Like a Roman Emperor

“We were born to work together like feet, hands, and eyes, like the two rows of teeth, upper and lower … like Cisco HCS, Nortel, or Skype for Business and our distributed development teams.” Marcus Aurelius, Roman Emperor, Unified Comms Futurist* * (not really) OK, so, the famed Roman emperor may not have mentioned technology in his A.D.

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How AIOps Can Help Contextualize Your Data

Defined by Gartner, artificial intelligence for IT operations (AIOps) platforms utilize big data, modern machine learning (ML) and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps addresses key areas, including data collection and storage, analytical engines (real time and deep), visualization/UI, and integration with other applications.

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The Mythical 'Average' IT Shop

In health care, doctors know the average man or average woman is in fact, mythical. Everyone has their own unique problems, capabilities and life stories. DNA can be altered by the environment. Even identical twins will have different health histories and different propensities to contract and avoid certain illnesses. Each individual is different. The same can be said of IT — no two shops are ever exactly alike.