Reducing Complexity in Multi-Cloud Environments with Riverbed IQ

In today’s evolving IT landscape, managing multi-cloud environments is a growing challenge for enterprises like Bank of America. As businesses expand their digital services across public clouds, private clouds, and on-premise infrastructure, maintaining end-to-end visibility becomes critical. Without it, IT teams face performance blind spots, making it difficult to monitor, troubleshoot, and optimize the entire network efficiently.

For financial institutions like Bank of America, which depend heavily on seamless and secure digital experiences, these visibility gaps can have serious consequences. From delayed transactions to security vulnerabilities, unchecked blind spots in the IT environment can disrupt operations and affect customer trust.

The Challenge of Multi-Cloud Complexity 

Bank of America is heavily invested in multi-cloud strategies, balancing workloads across a variety of platforms including AWS, Azure, and their own private cloud. While these platforms offer scalability and flexibility, they also introduce layers of complexity—especially when it comes to network monitoring and management.  

Without a comprehensive view across these environments, IT teams struggle with: 

• Inconsistent monitoring tools across cloud platforms
• Fragmented data from various sources
• Complex troubleshooting processes that delay incident resolution

These challenges make it nearly impossible for Bank of America to ensure seamless, proactive management of their infrastructure without a robust solution to tie everything together. 

The Riverbed IQ and IBM Watson Solution 

The integration of Riverbed IQ with IBM Watson AIOps offers a game-changing solution. Riverbed IQ provides full-fidelity telemetry, delivering granular data from every layer of the IT environment—from user devices to applications, network and infrastructure—whether in the cloud or on-premise. Paired with IBM Watson’s AI-driven capabilities, Bank of America can leverage automated incident response and powerful analytics for real-time visibility across its hybrid environments.

1. Full-Fidelity Telemetry for End-to-End Visibility

Riverbed’s ability to capture 100% of network traffic data across hybrid environments ensures no performance detail goes unnoticed. By delivering granular data from every component of the IT stack, Riverbed provides Bank of America’s IT teams with a unified view of their network and infrastructure, making it easy to pinpoint where issues arise and which areas require attention. 

This eliminates the visibility blind spots that often accompany multi-cloud environments. Whether monitoring a public cloud application or an on-premise server, IT teams can see the entire network with clarity and confidence.

2. AI-Driven Insights with IBM Watson  

When integrated with IBM Watson AIOps, the Riverbed platform delivers even greater value. Watson’s AI capabilities correlate telemetry data to detect anomalies, identify patterns, and trigger automated incident responses. This AI-driven automation dramatically reduces the complexity of managing multi-cloud environments, as the system can autonomously detect, diagnose, and resolve issues without requiring manual intervention. 

For Bank of America, this means faster response times, less manual effort, and a significant reduction in Mean Time to Resolution (MTTR).

3. Seamless Integration Across Hybrid Environments

Riverbed’s ability to seamlessly integrate with third-party tools like IBM Watson means that Bank of America can leverage existing IT investments while enhancing them with best-in-class AI-driven telemetry. The solution supports public, private, and hybrid clouds, offering flexibility and scalability to grow with the bank’s expanding infrastructure. 

By consolidating all data points into a single pane of glass, Bank of America gains consistent monitoring across all environments, simplifying network management and improving decision-making.   

Key Benefits for Bank of America 

By leveraging Riverbed high-fidelity data and intelligent insights with IBM Watson, Bank of America can achieve several strategic benefits: 

• End-to-End Visibility: Gain full visibility into multi-cloud environments, eliminating blind spots and ensuring seamless performance monitoring.
• Improved Incident Resolution: AI-driven automation speeds up detection and resolution, reducing MTTR and keeping critical services operational.
• Optimized IT Operations: With automated processes and consistent data across platforms, IT teams can focus on proactive management rather than firefighting issues.
• Enhanced Security: Riverbed IQ’s comprehensive data collection supports faster detection of security anomalies, improving the bank’s overall security posture.

As Bank of America continues to grow its hybrid cloud strategy, the need for seamless IT visibility becomes more urgent. By integrating Riverbed data with IBM Watson AIOps, Bank of America’s IT teams can reduce the complexity of managing multi-cloud environments, automate incident response, and optimize network performance. With end-to-end visibility and AI-driven insights, the bank can stay ahead of IT challenges, delivering reliable, secure digital experiences to customers and employees alike. 

Riverbed full-fidelity observability telemetry is the key to future-proofing IT operations in a rapidly evolving hybrid cloud world. For Bank of America, this integration ensures seamless network visibility, reduced complexity, and enhanced productivity across its infrastructure.