Challenges

Cloud Complexity Requires Complete Observability

Hybrid and multicloud environments rarely fail in one place. Service degradations emerge wherever infrastructure and applications interact, from cloud-native stacks and colocation facilities to SD-WAN and IoT. Managing these interactions often causes teams to toggle between fragmented tools, resulting in frustrating, time-consuming war rooms to identify the root cause rather than resolving the issue.

NETSCOUT provides complete, ecosystem-wide cloud observability across every corner of your business. Unifying network and service behavior helps teams maintain service health and resolve performance issues faster, no matter how complex the environment.

Performance Monitoring for Public Cloud Environments With NETSCOUT

Cloud Trends, Challenges, and Digital Transformation Strategies

Cloud Trends, Challenges, and Digital Transformation Strategies

To stay competitive, organizations are modernizing IT and investing in observability across increasingly complex hybrid, multi-cloud, and AI-driven environments.

Click each puzzle piece to learn more  

Cloud Trends, Challenges, and Digital Transformation Strategies

To stay competitive, organizations are modernizing IT and investing in observability across increasingly complex hybrid, multi-cloud, and AI-driven environments.

85% AI Governance Concerns of enterprises have a team or senior leader responsible for AI oversight, and 47% have formalized this into a dedicated governance function, according to Flexera.

AI Governance Concerns
of enterprises have a team or senior leader responsible for AI oversight, and 47% have formalized this into a dedicated governance function, according to Flexera.

85% AI Governance Concerns of enterprises have a team or senior leader responsible for AI oversight, and 47% have formalized this into a dedicated governance function, according to Flexera.

Cloud Trends, Challenges, and Digital Transformation Strategies

To stay competitive, organizations are modernizing IT and investing in observability across increasingly complex hybrid, multi-cloud, and AI-driven environments.

73% Evolving Cloud Economics 
of organizations now operate hybrid environments, up 3% year over year, as AI adoption and data demands reshape cloud migration and repatriation, per Flexera.

Evolving Cloud Economics
of organizations now operate hybrid environments, up 3% year over year, as AI adoption and data demands reshape cloud migration and repatriation, per Flexera.

73% Evolving Cloud Economics of organizations now operate hybrid environments, up 3% year over year, as AI adoption and data demands reshape cloud migration and repatriation, per Flexera.

Cloud Trends, Challenges, and Digital Transformation Strategies

To stay competitive, organizations are modernizing IT and investing in observability across increasingly complex hybrid, multi-cloud, and AI-driven environments.

76% Cloud Spend Climbing of decision makers report spending over $5 million monthly on cloud services, continuing the upward trend in overall public cloud costs, according to Flexera.

Cloud Spend Climbing
of decision makers report spending over $5 million monthly on cloud services, continuing the upward trend in overall public cloud costs, according to Flexera.

76% Cloud Spend Climbing of decision makers report spending over $5 million monthly on cloud services, continuing the upward trend in overall public cloud costs, according to Flexera.

Cloud Trends, Challenges, and Digital Transformation Strategies

To stay competitive, organizations are modernizing IT and investing in observability across increasingly complex hybrid, multi-cloud, and AI-driven environments.

45% GenAI Enters Production of IT leaders now use generative AI in their workflows, up from 36% in 2025, showing how fast AI is moving from experimentation into production, per Flexera.

GenAI Enters Production
of IT leaders now use generative AI in their workflows, up from 36% in 2025, showing how fast AI is moving from experimentation into production, per Flexera.

45% GenAI Enters Production of IT leaders now use generative AI in their workflows, up from 36% in 2025, showing how fast AI is moving from experimentation into production, per Flexera.

Outcomes That Matter

Prevent Downtime Across Any Network, Any Cloud

End-to-End Cloud Observability of Service Behavior in Real Time

Analyze north-south and east-west traffic at cloud interconnection points to cut mean time to knowledge (MTTK) by 90% and accelerate mean time to resolution (MTTR).

Gain Operational Resilience as Environments Scale

Deep packet inspection (DPI) at the source delivers observability into network activity, identifying migration drifts, bottlenecks, and digital transformation issues.

Catch Performance and Security Issues Before Your Customers Do

Stop guessing why customers are complaining. End fingerpointing and tool sprawl by identifying complex performance and security issues that simple vendor-provided monitoring tools miss.

Visualize and Investigate Your Entire Network Ecosystem

Configurable dashboards and deep drilldowns allow teams to examine network health and service behavior, track performance trends, and correlate issues across systems.

NETSCOUT’s Solution and How It Delivers Value

See Everything. Act Faster. Optimize the Cloud.

NETSCOUT cloud observability works in three stages:

  1. Capture network traffic at key vantage points in real time
  2. Convert packets to Smart Data using Adaptive Service Intelligence
  3. Analyze unified data in nGeniusONE for actionable insights

By analyzing real transactions across hybrid and multicloud rather than relying on sampled data or system-generated logs, nGenius solutions for observability provide a holistic view of network and service behavior at the source. NETSCOUT captures this traffic using industry-leading instrumentation.

At the core of these solutions is patented Adaptive Service Intelligence (ASI) technology. It performs deep packet inspection (DPI) at the source to convert raw traffic into Smart Data in real time. This high-fidelity metadata organizes information on service dependencies and application performance while reducing the burden on storage and bandwidth. Critical use cases include maintaining performance across: cloud migration, colocation data centers, Kubernetes environments, remote locations.

Smart Data is analyzed in nGeniusONE to provide a unified view of service health. Because it is grounded in packet-level insights, nGeniusONE also serves as a critical resource for identifying anomalies and mitigating cyber threats.

Our Cloud Partners

NETSCOUT has established strategic alliances to collaborate with best-in-class cloud partners, providing integrated solutions for our mutual customers and the success of their data center transformations.

Related Products

InfiniStreamNG Appliance

The Foundation for Comprehensive Observability Anywhere

vSTREAM Appliances

Comprehensive Visibility to Assure Performance Across Hybrid Cloud Environments

nGeniusONE Solution

Comprehensive Observability for Today’s Complex Environments

nGenius Remote Sensor

Comprehensive Observability with Smart Data from Remote Locations

Omnis KlearSight Sensor for Kubernetes

Extends Observability Without Borders to Kubernetes Environments

Packet Flow Switches (PFS) and TAPs

Deliver cost-effective and complete packet visibility while streamlining your monitoring architecture and reducing security risks.

What Our Customers Are Saying

"NETSCOUT excels in providing end-to-end service monitoring capabilities across on-premises, cloud, and hybrid environments. This is particularly useful for monitoring sales applications and supporting distributed teams."

– Dennis D., Digital Marketing Manager | Read full review

FAQs

Frequently Asked Questions

How does NETSCOUT ensure data integrity in the cloud?

By relying on the direct observation of network packets rather than system-generated logs, NETSCOUT provides an immutable source of truth. This ensures that your observability data remains objective and unalterable, even if a cloud instance or application is compromised.

How does packet data eliminate cloud blind spots?

Packets provide a granular, unchangeable record of every transaction. Unlike logs or traces that can be sampled, delayed, or incomplete, packet-based Smart Data provides the definitive evidence needed to resolve complex performance issues and identify lateral movement in security threats.

Can Smart Data be used across different cloud providers?

Yes. Smart Data provides a consistent monitoring framework across AWS, Azure, and Google Cloud. This uniformity allows teams to manage service performance and dependencies across a multicloud ecosystem through a single pane of glass.

How does nGenius Solutions for Observability accelerate cloud troubleshooting?

The platform analyzes every transaction to pinpoint whether a performance issue originates in the application, the cloud infrastructure, or the network. This eliminates finger-pointing and significantly reduces MTTK by identifying the root cause in minutes.

Does this solution impact cloud performance or egress costs?

No. NETSCOUT instrumentation is designed for high-efficiency, low-overhead monitoring. By converting raw traffic into Smart Data at the source, the solution significantly reduces the volume of data sent across the network. This minimizes bandwidth consumption and keeps egress costs low while providing an immutable record of every transaction.