The evolution of Savvius from infancy to its place in the modern tech world is, in essence, a coming-of-age story. The company wrote the rules of its business as it grew, allowing for experimentation with different identities along the way. It was founded in 1990 by Mahboud Zabetian and Tim McCreery as AG Group, a software company focused on protocol analysis.
“We were originally founded as a software company, and we still consider ourselves a software company today, founded on the basis of the simplicity of protocol analysis,” said Jay Botelho, Senior Director of Products at Savvius. “That’s really where things started.”
AG Group began offering a PC-based protocol analyzer for ethernet networks and soon changed its name to WildPackets Inc. Back then, the only tools available for protocol analysis were command-line oriented and DOS-based.
“So Savvius — WildPackets at the time — developed the first graphical protocol-analysis solution based on Mac and not Windows,” Jay said.
Things took off from there. Jay told us that stack continued to build, and Savvius conducted deeper decodes of the packeting in the protocols.
“It became a complete protocol analysis solution,” he said.
Soon, protocol and driver designers, as well as small, medium, and large companies started using the tool for network troubleshooting. As Jay noted, users could actually look at all the traffic on the network, decode it, and quickly solve complex problems.
Savvius Omnipliance and Omnipeek: A Robust Network Analysis Portfolio
The Savvius solutions portfolio includes Savvius Omnipliance, an industry-leading packet capture appliance; as well as Savvius Omnipeek, software used for network analytics and diagnostics.
Omnipliance, designed using the company’s vast packet intelligence expertise, enables real-time and post-event network analytics at up to 20 gigabits per second for 1G, 10G, and 40G networks.
“Omnipliance is there in the background capturing all the data,” Jay said. “Omnipeek is that window into the packets themselves — into the actual detailed network data that you’re not going to analyze at 20 gigabits per second.”
Omnipeek makes it easy to analyze segments of that data for enhanced problem solving.
“Where Omnipeek plays into that is when the end-user, IT manager, or network engineer needs to dig into the network data itself,” Jay said. “What does it look like packet by packet? Is the network acknowledging requests very quickly, but the application is taking a long time to respond to those requests? You can see all of that through Omnipeek.”
Savvius Omnipliance Ultra: Packet Capture & Analysis with Spotlight
Key to network performance investigations is Savvius Spotlight, software that provides actionable network visibility for performance monitoring.
“The issue we have seen with most network performance management and application performance management tools is, in some cases, they do too much analysis,” Jay said. “With all that data, the user still has to know what they’re looking for.”
Spotlight takes a more targeted approach. The goal is to shine a light on an organization’s problem areas.
“For example, we focus on application latency, network latency, utilization, and overall quality of the network connection — those are the four things that we analyze in detail at 30-plus gigabits per second,” Jay said.
The software allows network engineers to be on constant lookout for undesirable outcomes.
“It’s like a red beacon,” Jay said. “It’s called a spotlight for a reason; it puts the spotlight on the problems so the end user can say, ‘OK, there’s the problem, now I want to use Omnipliance to see what exactly is going on in that area, what the packet data looks like for that user or for that subnet, and why are they experiencing those problems.’”
Omnipliance Ultra combines Spotlight with Omnipliance for the ultimate in packet data capture and analysis.
“The beauty of it is you can take Spotlight and run that same software on an Omnipliance — we call that Omnipliance Ultra — so it’s all one package, the overall monitoring and then the packet storage capability,” Jay said. “Or, you can separate them out. It all depends on the use case for the customer.”
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