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Network design should reflect business goals. But it's also important to anticipate how your technology decisions will affect the business moving forward.
Any good network designer knows that design is driven by business. Before starting a network design, you gather business-related information such as locations, scale of the network, internal and external users, how the users will communicate with one another, and how the traffic will flow. But a great network designer should also keep in mind that design decisions may also affect the business -- in the future, if not today.

Certainly we are no strangers to increased regulations, standards and internal policies, and the resulting audits that impact most organizations – often multiple times per year.

While regulations and ensuing IT audits go beyond firewalls and firewall policies, these devices are often a good place to start when it comes to becoming "audit-ready" and gaining continuous visibility of what's going on in your network.

Here are six steps to ensure you ace your next firewall audit:

Step 1: Gathering Pertinent Information Before You Undergo an Audit

IT managers have an optimistic outlook on renewable energy and the cloud
A survey that challenged IT managers to imagine the data center of 2025 offers up some optimistic, even surprising, findings.

About 800 IT data center managers globally responded to the Emerson Network Power survey and three of its major findings foretell major changes ahead:

Organisations must become increasingly able to change quickly and easily. The business must be flexible yet capable of implementing and sustaining organisational change.
Deciding what to change is one thing. Making changes stick is another. To improve your odds, use this change management checklist:

The World Is Wary of American Cloud Computing. But It Always Was

We’re more fooled by noise than ever before, and it’s because of a nasty phenomenon called “big data.” With big data, researchers have brought cherry-picking to an industrial level.

Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much, much faster than real information.
In other words: Big data may mean more information, but it also means more false information.