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.
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.