Technology has changed dramatically over the past decade. Cloud computing is now central to how businesses operate, artificial intelligence is driving new demands for computing power, and networks are carrying more data than ever. Behind all of this is a massive digital infrastructure that most people rarely think about.
Keeping that infrastructure running reliably is becoming more challenging. Engineers need better ways to understand network traffic, test new technologies, identify problems, and make sure systems perform as expected.
Five technologies illustrate how that challenge is being addressed: packet capture, network digital twins, PCIe 6.0, end-user experience monitoring, and hyperscale data centers.
Packet Capture: Seeing What’s Really Happening
When a network isn’t performing properly, knowing that there is a problem is only the first step. The harder question is figuring out what caused it.
Packet capture gives engineers a detailed look at the information moving through a network. By capturing and analyzing individual packets, IT and security teams can investigate performance problems, application behavior, suspicious activity, and other issues that may not be obvious from high-level monitoring tools.
VIAVI’s packet capture and network analysis resources explain how packet data can provide valuable insight into network communications. Engineers can examine details such as response times, retransmissions, protocols, and application traffic to better understand what happened.
Packet capture is also useful after an incident. Rather than trying to recreate a problem that occurred hours or days earlier, teams may be able to examine recorded traffic and determine what actually took place.
In complicated network environments, having that level of visibility can make troubleshooting much more efficient.
Network Digital Twins: Experimenting Without the Risk
Testing changes on a live network can be risky. A configuration that works perfectly in a laboratory environment may behave differently when exposed to real-world traffic, devices, and conditions.
A network digital twin provides a way to experiment in a virtual environment.
VIAVI’s network digital twin technology for 5G and 6G uses real-world data, AI-driven scenario generation, emulation, and ray tracing to create realistic virtual network environments.
Engineers can use these environments to test configurations, simulate traffic, study mobility, and evaluate potential changes before implementing them on a live network.
This is particularly useful as wireless networks become more sophisticated. Testing different scenarios digitally can help organizations discover potential problems earlier while giving engineers more freedom to experiment.
As the industry looks toward 6G, the ability to model complex network behavior before deployment could become an increasingly important part of the development process.
PCIe 6.0: Keeping Up With the Data Explosion
The demand for faster data movement isn’t limited to networks. Inside today’s servers and data centers, processors, GPUs, memory, and storage systems also need to exchange enormous amounts of information.
PCI Express, or PCIe, is one of the technologies making that possible. PCIe 6.0 doubles the data rate of PCIe 5.0 to 64 GT/s and introduces technologies such as PAM4 signaling, Forward Error Correction, and FLIT Mode.
Those improvements provide substantially more bandwidth, but they also introduce new engineering challenges.
VIAVI’s PCIe 6.0 testing and analysis resources explain the technology and the considerations involved in validating high-speed PCIe systems.
This type of testing is increasingly important for applications such as artificial intelligence, machine learning, high-performance computing, and hyperscale infrastructure. As systems move more data at higher speeds, engineers need to make sure those connections remain reliable and interoperable.
End-User Experience Monitoring: Looking Beyond Network Metrics
IT teams have long relied on technical metrics to monitor infrastructure. But there’s a problem: those metrics don’t always tell you what the user is experiencing.
A network may appear healthy while an employee is waiting several seconds for an application to respond. From the user’s perspective, something is wrong—even if the network dashboard says otherwise.
End-user experience monitoring technology focuses on that missing piece.
VIAVI uses network data and machine learning to help organizations evaluate the quality of the end-user experience and identify where performance problems originate. Issues can potentially be isolated to areas such as the application, server, network, or client.
That’s particularly valuable in modern IT environments where users and applications may be separated by multiple networks and cloud services. Instead of simply asking whether the infrastructure is working, organizations can ask a more meaningful question: Is the technology working well for the people using it?
Hyperscale Data Centers: Infrastructure at Massive Scale
The challenges become even more significant in hyperscale data centers.
These enormous facilities support thousands of servers and the networking infrastructure required to deliver cloud services, AI applications, storage, and countless other digital services.
At this scale, testing and monitoring become critical. A problem that affects one device might be relatively minor, but the same issue repeated across thousands of systems can have a much greater impact.
VIAVI’s hyperscale data center testing and monitoring resources address the challenges involved in validating and maintaining high-speed data center infrastructure.
Testing can be important throughout the data center lifecycle, from deployment and commissioning to expansion and upgrades. Operators need confidence that optical connections, network equipment, and other infrastructure are performing as expected.
The Common Thread: Visibility
Packet capture, digital twins, PCIe 6.0, end-user experience monitoring, and hyperscale data centers may seem like unrelated areas of technology. In reality, they share a common need: better visibility into increasingly complex systems.
Engineers need to see what is happening inside networks. They need safe environments for testing new ideas. Hardware developers need to validate high-speed connections. IT teams need to understand performance from the user’s perspective. Data center operators need to know that massive amounts of infrastructure are working together as intended.
Technology isn’t getting simpler. Networks are becoming more sophisticated, computing speeds are increasing, and AI is creating entirely new demands on infrastructure.
As that evolution continues, the ability to measure, test, analyze, and understand these systems will become just as important as building them in the first place. Reliable digital infrastructure doesn’t happen by accident—it depends on having the right visibility and tools to keep everything working.
