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Juniper Networks and ServiceNow Collaborate on End-to-End Automation for Network Service Provisioning and Monitoring

Juniper Networks and ServiceNow announced a partnership to deliver end-to-end automation for Managed Service Providers and Enterprises.

With this newly formed collaboration leveraging Juniper Mist Cloud and ServiceNow Telecom Service Management and Order Management for Telecom, joint customers can eliminate multi-layer, multivendor solutions, thereby boosting network deployment and operational efficiencies while reducing costs.

Juniper Networks joins the ServiceNow Technology Partner Program enabling both companies to expand their global reach while delivering better experiences for Managed Service Providers and Enterprise IT teams and their end users. With their longstanding relationship as mutual customers delivering best-of-breed automation solutions, Juniper and ServiceNow come together to automate and simplify day-to-day operations. Together, Juniper and ServiceNow will provide a turnkey, AI-driven, closed-loop solution that integrates into OSS/BSS or enterprise management systems for rapid network and services deployments.

For Managed Service Providers specifically, this collaboration automates many complex, manual and multiorganizational workflows that begin with onboarding customers and continue through the customer's life cycle. The combined solution accelerates time to revenue for Service Providers offering managed services by benefiting from the automated workflows available out of the box, including:

- Customer onboarding and order management
- Reusable template-based abstractions for simplified network services deployment
- End-to-end monitoring and alerting

Joint customers and their end users can benefit from the following:

- End-to-end network service provisioning, monitoring and alerting
- Minimized manual workflows and operator errors
- Proactive auto-ticketing for detection of network and service issues through AIOps

“By leveraging the power of two industry leaders, Juniper and ServiceNow, we are able to maximize the value of our offerings and drive meaningful value for our Service Provider and Enterprise customers and their customers,” said Sudheer Matta, Group VP of Products at Juniper Networks. “By combining ServiceNow’s powerful service management capabilities with Juniper’s AI-driven network automation, customers can benefit from a comprehensive end-to-end automation solution.”

“As businesses invest in digital transformation to address the complex market environment, they’re looking for proven platforms that orchestrate and automate manual work,” said Rohit Batra, Global GM and VP of Telco, Media and Technology Industries, ServiceNow. “Together, Juniper Networks and ServiceNow are redefining the possibilities for end-to-end automation by providing both Service Provider and Enterprise customers with a complete set of intelligent tools to streamline operations, improve experiences and lower costs.”

The collaboration between Juniper and ServiceNow builds upon the long-standing relationship between the two companies, rooted in common philosophies and open architectures that maximize user experiences.

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Juniper Networks and ServiceNow Collaborate on End-to-End Automation for Network Service Provisioning and Monitoring

Juniper Networks and ServiceNow announced a partnership to deliver end-to-end automation for Managed Service Providers and Enterprises.

With this newly formed collaboration leveraging Juniper Mist Cloud and ServiceNow Telecom Service Management and Order Management for Telecom, joint customers can eliminate multi-layer, multivendor solutions, thereby boosting network deployment and operational efficiencies while reducing costs.

Juniper Networks joins the ServiceNow Technology Partner Program enabling both companies to expand their global reach while delivering better experiences for Managed Service Providers and Enterprise IT teams and their end users. With their longstanding relationship as mutual customers delivering best-of-breed automation solutions, Juniper and ServiceNow come together to automate and simplify day-to-day operations. Together, Juniper and ServiceNow will provide a turnkey, AI-driven, closed-loop solution that integrates into OSS/BSS or enterprise management systems for rapid network and services deployments.

For Managed Service Providers specifically, this collaboration automates many complex, manual and multiorganizational workflows that begin with onboarding customers and continue through the customer's life cycle. The combined solution accelerates time to revenue for Service Providers offering managed services by benefiting from the automated workflows available out of the box, including:

- Customer onboarding and order management
- Reusable template-based abstractions for simplified network services deployment
- End-to-end monitoring and alerting

Joint customers and their end users can benefit from the following:

- End-to-end network service provisioning, monitoring and alerting
- Minimized manual workflows and operator errors
- Proactive auto-ticketing for detection of network and service issues through AIOps

“By leveraging the power of two industry leaders, Juniper and ServiceNow, we are able to maximize the value of our offerings and drive meaningful value for our Service Provider and Enterprise customers and their customers,” said Sudheer Matta, Group VP of Products at Juniper Networks. “By combining ServiceNow’s powerful service management capabilities with Juniper’s AI-driven network automation, customers can benefit from a comprehensive end-to-end automation solution.”

“As businesses invest in digital transformation to address the complex market environment, they’re looking for proven platforms that orchestrate and automate manual work,” said Rohit Batra, Global GM and VP of Telco, Media and Technology Industries, ServiceNow. “Together, Juniper Networks and ServiceNow are redefining the possibilities for end-to-end automation by providing both Service Provider and Enterprise customers with a complete set of intelligent tools to streamline operations, improve experiences and lower costs.”

The collaboration between Juniper and ServiceNow builds upon the long-standing relationship between the two companies, rooted in common philosophies and open architectures that maximize user experiences.

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.