From Gestalt IT

Mergers and acquisitions (M&A) are common occurrences in business. After the ink dries on a deal, IT network and security teams embark on the challenging task of welding two different parts into a single whole.

Understanding how both parties’ networks are built and run is the first order of business to joining them and gaining value from the merger. Forward Networks’ core ability to build a digital twin of an environment and layer additional features on top of it provides a way to smooth the path to unity...[KEEP READING on Gestalt IT]

Network complexity is at an all-time high. Between legacy technology, hybrid-multi-cloud environments, and networks cobbled together by mergers and acquisitions, it’s impossible for people to keep track of the network, its topology, and behavior. The idea of trying to trace a path through a multi-cloud network seems akin to being asked to pull a rabbit out of your hat.

Chris Gundermann of Gestalt IT recently wrote about “Multi-Cloud Security Requires Multi-Cloud Observability with Forward Networks.” Chris is an expert on networking and multi-cloud technology. In the article he covers the importance of observability and its benefits.

According to Gundermann, “Network observability serves as a linchpin for maintaining a secure and resilient network infrastructure. In the realm of multi-cloud, achieving that observability is even more challenging due to the absence of unified visibility across cloud platforms. Forward Networks has risen to that challenge by extending their digital twin technology to major cloud providers.”

Read the full article to understand how Forward Enterprise helps SecOps teams control their network and prevent incidents.

The average network is a collection of configuration settings that exist in their own little island. They interact with each other and create situations where that interaction causes systemic issues in other places. Half of the job of a network engineer is figuring out those interactions and anticipating how they will impact other parts of the steady-state machine that we build to operate our applications. It’s hard enough to learn where all the switches are. Asking for anything more complicated is taxing for any engineer.

With the rise of networks that need to be more reliable for things like cloud applications and important use cases for financial or medical, it’s not enough to guess about the network state any longer. We can’t just hope that a configuration was done and that it was made in such a way as to lessen the impact on other systems. We can’t wish that things were configured correctly. We have to go one step further and actually verify that everything is done correctly. Adding that verification step into our routine is a source of contention, though. It’s a lot of extra work. It requires extra steps to get the information and make sure it’s accurate. It’s not what the standard network was built to provide. There needs to be a better tool out there to give us the info we need.

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