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Riverbed Brings Cloud and Enterprise Network Traffic Analysis to Amazon Web Services

SteelCentral AppResponse Cloud to natively connect with new Amazon Virtual Private Cloud traffic mirroring to deliver near real-time network monitoring and troubleshooting across the hybrid enterprise

Riverbed announced support for Amazon Virtual Private Cloud (Amazon VPC) traffic mirroring from Amazon Web Services (AWS), with a new solution, SteelCentral AppResponse Cloud.

SteelCentral AppResponse Cloud will allow network and cloud operations teams to gain network-based application performance management that quickly surfaces performance anomalies across the entire hybrid enterprise.

SteelCentral AppResponse Cloud is part of Riverbed’s Digital Experience Management platform, which enables organizations to measure, analyze and manage the user’s digital experience.

SteelCentral AppResponse Cloud, a network-based application performance management solution, connects with Amazon VPC traffic mirroring to analyze cloud-based application payloads at scale. Amazon VPC traffic mirroring is a virtual network tap that enables monitoring of network traffic in Amazon VPC. Riverbed worked with Amazon Web Services to natively connect SteelCentral AppResponse Cloud with Amazon VPC traffic mirroring to deliver a passive and agentless approach to network packet capture and analysis in the cloud.

“Riverbed’s SteelCentral AppResponse Cloud uses Amazon VPC traffic mirroring from Amazon Web Services to provide rich, unparalleled network and application visibility into AWS. Riverbed enables IT Operations to quickly pinpoint performance degradations and high latency in cloud and hybrid networks, automatically identify more than 2,000 applications for detailed application analysis, as well as identify and troubleshoot issues faster and easier with aggregated traffic,” said Mike Sargent, SVP, GM- SteelCentral, at Riverbed. “As an industry leader in Digital Experience Management solutions and a six-time Leader in the Gartner Magic Quadrant for Network Performance Management and Diagnostics, we are proud to collaborate with AWS in bringing such a vital solution to the market.”

With the introduction of Amazon VPC traffic mirroring, SteelCentral AppResponse Cloud can connect with a native source of packet traffic to effectively address network and application performance management use cases, including:

- Monitoring the health and performance of networks and networked applications

- Troubleshooting network and application service problems

- Network capacity planning and management

- Cloud application assessments and migration planning

- Security monitoring and incident response

In addition to Amazon VPC traffic mirroring, SteelCentral AppResponse Cloud supports SteelCentral Agent packet mirroring, Cisco CSR 1000v, Big Switch Big Monitoring Fabric, Gigamon GigaSECURE Cloud, and Keysight/IXIA CloudLens for packet capture and troubleshooting on AWS. The update will be available by end of September 2019.

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Riverbed Brings Cloud and Enterprise Network Traffic Analysis to Amazon Web Services

SteelCentral AppResponse Cloud to natively connect with new Amazon Virtual Private Cloud traffic mirroring to deliver near real-time network monitoring and troubleshooting across the hybrid enterprise

Riverbed announced support for Amazon Virtual Private Cloud (Amazon VPC) traffic mirroring from Amazon Web Services (AWS), with a new solution, SteelCentral AppResponse Cloud.

SteelCentral AppResponse Cloud will allow network and cloud operations teams to gain network-based application performance management that quickly surfaces performance anomalies across the entire hybrid enterprise.

SteelCentral AppResponse Cloud is part of Riverbed’s Digital Experience Management platform, which enables organizations to measure, analyze and manage the user’s digital experience.

SteelCentral AppResponse Cloud, a network-based application performance management solution, connects with Amazon VPC traffic mirroring to analyze cloud-based application payloads at scale. Amazon VPC traffic mirroring is a virtual network tap that enables monitoring of network traffic in Amazon VPC. Riverbed worked with Amazon Web Services to natively connect SteelCentral AppResponse Cloud with Amazon VPC traffic mirroring to deliver a passive and agentless approach to network packet capture and analysis in the cloud.

“Riverbed’s SteelCentral AppResponse Cloud uses Amazon VPC traffic mirroring from Amazon Web Services to provide rich, unparalleled network and application visibility into AWS. Riverbed enables IT Operations to quickly pinpoint performance degradations and high latency in cloud and hybrid networks, automatically identify more than 2,000 applications for detailed application analysis, as well as identify and troubleshoot issues faster and easier with aggregated traffic,” said Mike Sargent, SVP, GM- SteelCentral, at Riverbed. “As an industry leader in Digital Experience Management solutions and a six-time Leader in the Gartner Magic Quadrant for Network Performance Management and Diagnostics, we are proud to collaborate with AWS in bringing such a vital solution to the market.”

With the introduction of Amazon VPC traffic mirroring, SteelCentral AppResponse Cloud can connect with a native source of packet traffic to effectively address network and application performance management use cases, including:

- Monitoring the health and performance of networks and networked applications

- Troubleshooting network and application service problems

- Network capacity planning and management

- Cloud application assessments and migration planning

- Security monitoring and incident response

In addition to Amazon VPC traffic mirroring, SteelCentral AppResponse Cloud supports SteelCentral Agent packet mirroring, Cisco CSR 1000v, Big Switch Big Monitoring Fabric, Gigamon GigaSECURE Cloud, and Keysight/IXIA CloudLens for packet capture and troubleshooting on AWS. The update will be available by end of September 2019.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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