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.
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.
of organizations now prioritize cloud workload migration, up from 36% in 2024, according to Flexera—highlighting a shift to cloud-first 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.
of enterprises use packet data for network observability and performance monitoring in hybrid and multi-cloud, per Enterprise Management Associates (EMA).
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.
of organizations use AI in the public cloud, the fastest-ever cloud adoption, while 76% rely on data warehouses to support AI models, 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.
of IT leaders use multicloud setups, with nearly half of all workloads and data in public clouds, often in containers or on Kubernetes, 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:
- Capture network traffic at key vantage points in real time
- Convert packets to Smart Data using Adaptive Service Intelligence
- 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
Resources
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.
