Deep Observability Defined

What is Deep Observability?

And why is it key to realizing the full transformational promise of the cloud?

Deep Observability Defined: the addition of real-time network-level intelligence to amplify the power of metric, event, log and trace-based monitoring and observability tools to mitigate security risk, deliver a superior user experience, and ease operational complexity.

Today’s modern enterprises are continuing to accelerate the velocity of their digital transformation initiatives to gain agility and maintain competitive edge. Nearly every organization wants to move to the cloud with more than 90 percent embracing a multi-cloud strategy that makes use of two or more cloud infrastructure providers. Cloud solutions deliver the flexibility, scalability, and agility that organizations require to compete in today’s hyper-competitive marketplace.

But cloud migration also presents new challenges in terms of how to contend with an ever-more dangerous threat landscape, address insatiable application performance expectations and contain escalating cost and complexity associated with managing modern hybrid cloud IT environments.


What is Deep Observability?

Today’s threat landscape is evolving fast, and ransomware and other sophisticated attacks are soaring, making it difficult to assure security and compliance across cloud and on-premises applications. Furthermore, organizations that have invested in on-premises security may be hesitant to switch over to cloud-based systems; they fear that the time and money they’ve already devoted to protecting their data simply won’t transfer over to a cloud-computing model.

Multi-cloud environments are also more challenging to support, protect, and maintain compared to on-premises architectures. 74 percent of organizations use a hybrid cloud model that encompasses on-prem legacy systems, private clouds or multiple public clouds, creating a complex architecture that is both time-consuming and costly to manage. Dealing with multiple cloud providers makes it difficult to identify security threats, performance bottlenecks, and troubleshoot and fix issues.

Yet despite these challenges, end users have high expectations for applications in the cloud. They expect a superior user experience and nonstop availability, so latency and performance issues can quickly stifle productivity.

To overcome these challenges, realize the full potential of a cloud deployment, and drive digital transformation, deep observability is critical.

74% of organizations use a hybrid cloud model that incorporates on-prem legacy systems, private clouds or multiple public clouds, creating a complex architecture that is time-consuming and costly to manage.

Gateway Research: July 2021 Survey

See Why You need Deep Observability?

Why Does Deep Observability Matter?

Deep observability empowers IT to proactively mitigate security and compliance risk, deliver a superior user experience, and ease the operational complexity of managing hybrid and multi-cloud IT infrastructures. It enables you to harness actionable network-level intelligence to amplify the power of the observability tools and processes you’ve already invested in.

Deep observability lets organizations realize the full transformational promise of the cloud. It sets the stage for delivering significant value, including:


Assure security and compliance governance

Apply advanced security forensics and lateral threat detection based on immutable raw packet source to assure security, compliance and integrity of information-in-motion.


Speed root-cause analysis of performance bottlenecks

Gain in-depth application visibility, capturing known and unknown events to speed root-cause analysis of performance bottlenecks and deliver consistent, high-quality digital experiences.


Boost operational agility and control costs

Minimize the expenses associated with managing hybrid and multi-cloud IT infrastructures by identifying and eliminating security and performance blind spots, breaking down silos, and containing runaway complexity.

Closing the Cloud Visibility Gap

Deep observability provides clear advantages for cloud infrastructures of all types and is especially advantageous for hybrid clouds. Most organizations lack the tools and capacity to account for a complex hybrid and multi-cloud environments. Traditional on-prem monitoring is not up to the task, creating security and performance blind spots that continue to widen as organizations migrate more of their applications and infrastructure to cloud providers.

Deep observability closes this gap, providing a unified, comprehensive view of even the most complex hybrid networks.

Choosing a Deep Observability Pipeline

A deep observability pipeline goes beyond traditional monitoring approaches that rely exclusively on metrics, events, logs, and traces (MELT). By applying real-time network-level intelligence, derived from packets, flows and metadata, organizations can dramatically extend the value of their existing security and observability tools and investments. 

A robust deep visibility pipeline provides advanced intelligence: 

What happens when you apply real-time network intelligence? You gain the insights and agility needed to shift your organization to a proactive security posture by delivering defense-in-depth and complete performance management—to mitigate exposure to risk, and expedite troubleshooting.

Transform with Pervasive, Empowering Deep Observability

Today’s cloud infrastructures are more complex than ever before. To make the most of your cloud investments, you need an effective deep observability pipeline. Deep observability enables you to achieve all the benefits and agility of a resilient digital infrastructure without risk.

To learn more about how attaining deep observability can help you realize your full cloud potential and accelerate your transformation initiatives, read our eBook.