
Riverbed SteelHead Interceptor
Load balancing software
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What is Riverbed SteelHead Interceptor
Riverbed SteelHead Interceptor is a network appliance/virtual appliance that intercepts and redirects traffic to SteelHead WAN optimization appliances, enabling centralized service insertion and load distribution across multiple SteelHeads. It is typically deployed by network and WAN teams in branch-to-data-center or multi-branch environments to scale optimization capacity and provide resiliency. The product operates at the network layer using interception methods such as WCCP and policy-based routing, rather than acting as an application reverse proxy.
Scales SteelHead deployments
Interceptor enables multiple SteelHead appliances to share traffic so organizations can add optimization capacity without redesigning branch routing for each device. It supports clustering and distribution of connections across SteelHeads to avoid concentrating traffic on a single optimizer. This approach fits environments where optimization is delivered as a shared network service rather than embedded per site.
Network-layer service insertion
The product integrates with common network interception techniques (for example WCCP and policy-based routing) to steer traffic to optimization appliances. This allows deployment without requiring application changes or per-application configuration typical of L7 proxy-based load balancers. It is well-suited to routing-centric architectures where traffic steering is controlled by network policy.
Resiliency for optimization path
Interceptor can provide failover behavior by redirecting traffic away from unavailable SteelHead appliances, helping maintain continuity of the optimization service. It reduces operational risk compared with static steering to a single optimizer. This is particularly relevant in hub-and-spoke designs where many branches depend on a small number of centralized appliances.
Narrow load-balancing scope
Interceptor primarily balances and redirects traffic to Riverbed SteelHead appliances rather than providing general-purpose application load balancing. It does not replace L7 reverse proxies or ingress controllers used for modern web and microservices traffic management. Buyers looking for broad HTTP/TLS routing, content-based rules, or API gateway features typically need separate tooling.
Riverbed ecosystem dependency
The product’s value depends on having SteelHead WAN optimization in place, and it is not designed as a vendor-neutral traffic distribution layer. This can limit flexibility if an organization changes WAN optimization strategy or standardizes on different network service insertion methods. It also means procurement and lifecycle management are tied to Riverbed’s appliance/software roadmap.
Operational and network complexity
Deployments often require coordination with routing, switching, and security teams to implement interception (for example WCCP/PBR) and to validate asymmetric routing and failure scenarios. Troubleshooting can be more complex than software-only load balancers because issues may span network policy, interception behavior, and optimizer state. Virtual editions can reduce hardware footprint but still require careful network design.
Seller details
Riverbed Technology, LLC
San Francisco, CA, USA
2002
Private
https://www.riverbed.com/
https://x.com/riverbed
https://www.linkedin.com/company/riverbed-technology/