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IT Can't Afford to be Static - It's Time to Automate Visibility

Ananda Rajagopal

As any network administrator can tell you, network traffic doesn't stand still. It is constantly changing and increasing in complexity. Networks have fundamentally changed, and the demands put on them by new technology, customers, mobility, and other factors are forcing IT to develop networks that are more agile and dynamic than ever before. While it seems like IT departments are bombarded with new challenges, there are three major trends that are making it difficult to gain visibility into networks: the increased adoption of virtualized infrastructure, enterprise mobility and the rise in encrypted traffic.

Virtualization and associated software-defined networking (SDN) approaches have created tremendous change in the data center, while mobility and encryption have created blind spots in infrastructure that traditional monitoring tools do not recognize. Compounding this problem is the fact that network administrators have been compelled to meet the needs of an organization's cybersecurity initiatives – which requires that they have full visibility into their infrastructure – and it's clear how difficult the problem they are facing is. Simply put, network administrators need to be able to see every packet to guarantee the performance and security of their networks, but the accelerated rate of change, and the complexities that has wrought, have made it nearly impossible.

Since networks and infrastructure are constantly changing, the methods that are used to gain visibility into them cannot afford to be static. When done well, visibility shines light on blind spots, enables detection of anomalous behavior and gives administrators the power to fix network and application issues proactively before they become problems for end users. But, giving administrators the power to be proactive is not enough in today's complex environment. It is no longer enough to simply point to a network bottleneck or send an alert for a spike in bandwidth demand – visibility must be automated so that the information is shared instantly. Manual intervention is a point of failure for network operations and security operations teams, and can be eliminated if the tools we use for visibility are designed to take action.

To automate visibility, we must architect visibility as a critical layer of infrastructure. Once designed in this fashion, an administrator is empowered with the ability to intelligently deliver any portion of network traffic to as many appliances and tools that need to monitor and analyze it. The administrator can use policies to select specific traffic that needs to be delivered to each of these tools. Such an architectural approach to visibility has the additional benefit of abstracting the operational tools needed to secure and manage a network from the specifics of the underlying network. Once such a layer is created, all security and operational tools can get access to critical network traffic from anywhere in the infrastructure. Further, when the intelligence derived from visibility is united with the rest of the network and security infrastructure, it is possible to automate policy management so that the tools can programmatically control the information they receive from the Visibility Fabric. Such automation improves responsiveness and effectiveness, simplifies tasks and establishes a framework for continuous monitoring and analytics of the infrastructure.

Technology will continue to be transformative – in the data center and beyond. No one can afford to sit still in this environment, least of all IT departments. Automating visibility is a critical step in getting control of the dramatic changes affecting infrastructure, and one that should be taken sooner rather than later – the next big challenge is likely right around the corner.

Ananda Rajagopal is VP of Product Management at Gigamon.

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IT Can't Afford to be Static - It's Time to Automate Visibility

Ananda Rajagopal

As any network administrator can tell you, network traffic doesn't stand still. It is constantly changing and increasing in complexity. Networks have fundamentally changed, and the demands put on them by new technology, customers, mobility, and other factors are forcing IT to develop networks that are more agile and dynamic than ever before. While it seems like IT departments are bombarded with new challenges, there are three major trends that are making it difficult to gain visibility into networks: the increased adoption of virtualized infrastructure, enterprise mobility and the rise in encrypted traffic.

Virtualization and associated software-defined networking (SDN) approaches have created tremendous change in the data center, while mobility and encryption have created blind spots in infrastructure that traditional monitoring tools do not recognize. Compounding this problem is the fact that network administrators have been compelled to meet the needs of an organization's cybersecurity initiatives – which requires that they have full visibility into their infrastructure – and it's clear how difficult the problem they are facing is. Simply put, network administrators need to be able to see every packet to guarantee the performance and security of their networks, but the accelerated rate of change, and the complexities that has wrought, have made it nearly impossible.

Since networks and infrastructure are constantly changing, the methods that are used to gain visibility into them cannot afford to be static. When done well, visibility shines light on blind spots, enables detection of anomalous behavior and gives administrators the power to fix network and application issues proactively before they become problems for end users. But, giving administrators the power to be proactive is not enough in today's complex environment. It is no longer enough to simply point to a network bottleneck or send an alert for a spike in bandwidth demand – visibility must be automated so that the information is shared instantly. Manual intervention is a point of failure for network operations and security operations teams, and can be eliminated if the tools we use for visibility are designed to take action.

To automate visibility, we must architect visibility as a critical layer of infrastructure. Once designed in this fashion, an administrator is empowered with the ability to intelligently deliver any portion of network traffic to as many appliances and tools that need to monitor and analyze it. The administrator can use policies to select specific traffic that needs to be delivered to each of these tools. Such an architectural approach to visibility has the additional benefit of abstracting the operational tools needed to secure and manage a network from the specifics of the underlying network. Once such a layer is created, all security and operational tools can get access to critical network traffic from anywhere in the infrastructure. Further, when the intelligence derived from visibility is united with the rest of the network and security infrastructure, it is possible to automate policy management so that the tools can programmatically control the information they receive from the Visibility Fabric. Such automation improves responsiveness and effectiveness, simplifies tasks and establishes a framework for continuous monitoring and analytics of the infrastructure.

Technology will continue to be transformative – in the data center and beyond. No one can afford to sit still in this environment, least of all IT departments. Automating visibility is a critical step in getting control of the dramatic changes affecting infrastructure, and one that should be taken sooner rather than later – the next big challenge is likely right around the corner.

Ananda Rajagopal is VP of Product Management at Gigamon.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...