Every data center admin knows about the myriad of ways to take a data center down: fires, power and network equipment failures, and the activities of hackers and cyber criminals.
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Itential
For enterprise networks to be compliant they must encompass two things: standards that define how networks are configured and ensuring those standards are enforced rigidly and uniformly across the network, whether it is physical, virtual, or cloud.However, today’s modern and exploded network infrastructure includes a multitude of edge devices such as switches, routers, firewalls, load balancers, and with the addition of cloud-based services it’s only getting more complex. Effective management of the network in a holistic manner is crucial for operational consistency. Regardless of your network size or type, constant configuration changes to infrastructure components based on business and technical requirements are inevitable and organizations need a modern approach to ensure configuration compliance across all network devices and services.
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The pandemic may be receding, but emergent situations like fires, hurricanes, and other events disruptive to business continue to arise frequently. The impact on business is significant, and it all amps up the need for organizations to be agile in a data-driven manner. Meanwhile, the data and analytics world has many segments, islands of functionality, areas of innovation, and ecosystems within ecosystems. That makes data technology-rich, but it can also slow down data-driven progress. To fix this, we must take an end-to-end approach to analytics.
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Smart devices on edge take a more critical role to deal with issues by themselves, instead of taking place in the cloud. Latency sensitive and data-rich applications such as self-driving cars, AR&VR and advanced manufacturing cannot be served by traditional cloud computing or telecom connectivity solutions and require edge computing support.
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