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Riverbed Service Delivery Platform Introduced

Riverbed Technology introduced the Riverbed Service Delivery Platform, designed to enable service providers to deliver Network-as-a-Service, with the speed and flexibility expected by today’s digital enterprises.

The Riverbed Service Delivery Platform is designed to let service providers transform their existing NFV investments into a cloud-like Network-as-a-Service model by abstracting the complexity associated with NFV and focusing on services instead. With the Service Delivery Platform, service providers will be able to rapidly introduce new services, ensure those services are delivered as intended, give their customers the ability to scale services up and down on demand, and expand into new areas such as IoT and Edge Compute.

Some of the key benefits of the platform include:

- Seamless extension and integration of quality based MPLS services across all and any connectivity models to service provider customers with consistent policy, security and service visibility and assurance

- DevOps approach to rapid service design, on-boarding and deployment dramatically shortening time-to-market for new services

- Rapid elasticity and resource pooling enabling service providers to effectively support multi-tenancy while delivering a massively scalable and available services-based infrastructure to their customers

- Continuous service delivery optimization via closed-loop orchestration, ensuring that service levels are met while infrastructure is being utilized most effectively

- Improved customer intelligence and service assurance, enabling service providers to take on a more consultative role with their customers

- Maximized value from existing investment as the platform integrates seamlessly into a mixed hardware-virtualized environment to pave the way from traditional networking investments to 100% NFV/SDN environment

- Open and Standard-based, the platform allows for plug-and-play extensibility at each layer of the architecture, eliminating vendor lock-in

“Service providers are going through a massive transformation and are changing how they acquire, manage and deploy technologies so they can meet the needs of today’s digital customer,” said Phil Harris, GM, Service Provider Segment Vertical at Riverbed. “Riverbed’s Service Delivery Platform allows service providers to re-invent their business and evolve their infrastructure. Now, service providers have the flexibility to roll out differentiated services and deliver them to end customers quickly and efficiently.”

“We’re seeing a significant shift in the strategies and actions of service providers, as they look to be more agile in rolling out new enterprise WAN and branch services faster, including emerging solutions such as SD-WAN.” said Rohit Mehra, Research VP, Network Infrastructure, IDC. “Riverbed has been a long time partner with many leading service providers, and their advancements with this new Service Delivery Platform and technologies such as SteelConnect and SteelCentral, puts them in a strategic position with service providers as they look to evolve their offerings and roll out solutions to capture new revenue opportunities.”

The Service Delivery Platform is planned for release in the second half of 2017.

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Riverbed Service Delivery Platform Introduced

Riverbed Technology introduced the Riverbed Service Delivery Platform, designed to enable service providers to deliver Network-as-a-Service, with the speed and flexibility expected by today’s digital enterprises.

The Riverbed Service Delivery Platform is designed to let service providers transform their existing NFV investments into a cloud-like Network-as-a-Service model by abstracting the complexity associated with NFV and focusing on services instead. With the Service Delivery Platform, service providers will be able to rapidly introduce new services, ensure those services are delivered as intended, give their customers the ability to scale services up and down on demand, and expand into new areas such as IoT and Edge Compute.

Some of the key benefits of the platform include:

- Seamless extension and integration of quality based MPLS services across all and any connectivity models to service provider customers with consistent policy, security and service visibility and assurance

- DevOps approach to rapid service design, on-boarding and deployment dramatically shortening time-to-market for new services

- Rapid elasticity and resource pooling enabling service providers to effectively support multi-tenancy while delivering a massively scalable and available services-based infrastructure to their customers

- Continuous service delivery optimization via closed-loop orchestration, ensuring that service levels are met while infrastructure is being utilized most effectively

- Improved customer intelligence and service assurance, enabling service providers to take on a more consultative role with their customers

- Maximized value from existing investment as the platform integrates seamlessly into a mixed hardware-virtualized environment to pave the way from traditional networking investments to 100% NFV/SDN environment

- Open and Standard-based, the platform allows for plug-and-play extensibility at each layer of the architecture, eliminating vendor lock-in

“Service providers are going through a massive transformation and are changing how they acquire, manage and deploy technologies so they can meet the needs of today’s digital customer,” said Phil Harris, GM, Service Provider Segment Vertical at Riverbed. “Riverbed’s Service Delivery Platform allows service providers to re-invent their business and evolve their infrastructure. Now, service providers have the flexibility to roll out differentiated services and deliver them to end customers quickly and efficiently.”

“We’re seeing a significant shift in the strategies and actions of service providers, as they look to be more agile in rolling out new enterprise WAN and branch services faster, including emerging solutions such as SD-WAN.” said Rohit Mehra, Research VP, Network Infrastructure, IDC. “Riverbed has been a long time partner with many leading service providers, and their advancements with this new Service Delivery Platform and technologies such as SteelConnect and SteelCentral, puts them in a strategic position with service providers as they look to evolve their offerings and roll out solutions to capture new revenue opportunities.”

The Service Delivery Platform is planned for release in the second half of 2017.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.