The Gigamon GigaVUE 6.0 Release to Drive Deep Observability Market Forward

Deep Observability Market to Exceed $2B by 2026

Hybrid cloud security remains the top concern for enterprise IT organizations. However, many organizations seem to be stuck in legacy-based silos, with NetOps, DevOps, and SecOps teams infrequently collaborating. While silos in an organization may have worked in the past, they don’t work anymore.

Today, over 90 percent of enterprises operate in a hybrid and multi-cloud world. Teams need to collaborate and break down silos by establishing cross-functional teams. Teams can no longer afford to work in a linear or siloed world where detection occurs in SecOps and response happens sometime later via DevOps and NetOps. The old approach simply won’t work going forward.

Deep observability and security can democratize the NetOps, DevOps, and SecOps silos. MELT (metrics, events, logs, and traces) has been great for the industry for 20–30 years. Still, more is needed to inject network-derived intelligence and insights into applications, especially when those applications have a hybrid cloud component. The enterprise needs to know the immutable truth that only packets, flows, and application data can provide.

L7 inspection requires deep observability. Otherwise, there are blind spots in the security perimeter that may be unknown to the enterprise. There are many examples where deep observability helps secure an enterprise, such as detecting unsanctioned and unknown apps and services (critical to multinational companies that might not know localized applications they need to block), services on non-standard ports, encryption vulnerabilities, and cryptocurrency. This is where MELT and network-derived intelligence come together to deliver the deep observability enterprises require to deliver defense in depth across their hybrid and multi-cloud infrastructure.

The Gigamon GigaVUE 6.0 release is the manifestation of modern deep observability into the market and is the biggest and most feature-rich release in five years. It supports AWS, Azure, and Google cloud platforms and Nutanix, Red Hat, and VMware virtualization platforms while providing universal container visibility across these vendors’ Kubernetes environments. Consumption models for Gigamon also reflect the current desire from customers to have consumption-based subscription models. In addition, with a more agile development and consumption model, we expect a faster rollout of new features in future releases.

The deep observability market is emerging as a critical component of growth for observability infrastructure vendors. We expect the deep observability market to grow at an over 60 percent CAGR and exceed $2B by 2026. Enterprises need to extract significant data from networks beyond just logs to secure and automate their hybrid and multi-cloud infrastructure. Deep observability continues to expand its value-added features, like decryption, application filtering, application metadata, and de-duplication. Over the forecast years, this will help drive networking automation and AI-based networks. 

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