Skip to main content

Kentik Integrates with Itential

Kentik announced the integration of their two platforms, enabling NetOps teams to build and run automations to act on any event, from security risks to network optimization, and remediate the situation resulting in more accurate, secure, and efficient network infrastructure.

Kentik’s observability platform enables organizations to collect telemetry input from all critical network elements and turn that data into insights and actionable alerts for infrastructure teams. Itential enables infrastructure teams to automate network and security configuration changes across hybrid multi-cloud networks and quickly integrate with IT systems to orchestrate the entire end-to-end change management process. With Kentik’s advanced network observability platform combined with Itential’s network-centric automation and orchestration platform, NetOps teams can enable closed-loop automations in response to intelligently generated network events, ensuring critical infrastructure operates more securely and reliably than ever before.

“Automation and observability have long been independent pillars of network innovation. As infrastructure becomes increasingly distributed, enterprises now require observability data to integrate with and drive their automation efforts, said Chris Wade, CTO of Itential. “Our partnership with Kentik highlights the demand for seamless integration between observability and automation platforms at the API level, empowering NetOps teams to swiftly and confidently address issues faster and with greater confidence through automation.”

The technical alliance between Kentik and Itential brings security, reliability, and agility to networking, making it easier for enterprises to automate and manage complex hybrid multi-cloud networks. By integrating these two platforms together, network teams can build automations that utilize Kentik’s unique observability features, making changes to the network in real time for high priority incidents and notify the appropriate teams of these changes via group messaging and IT change management systems.

“Customers choose Kentik because of two things – first, we offer the most comprehensive and innovative network observability solution in the industry,” said Christoph Pfister, CPO, Kentik. “And second, they want a solution that can be fully and easily integrated with the rest of their operations stack, in order to leverage Kentik’s powerful AI-based insights for automating responses to network incidents. Our vision has always been to link insights to automation, and today we are taking big steps forward by providing an out-of-the-box integration with Itential’s best-in-class automation solution.

“The Network Automation Forum was founded to drive effective and practical network automation adoption, in much the same way that other technology sectors have done successfully,” said Scott Robohn, co-founder and managing director of the Network Automation Forum. “When modern technology vendors like Itential and Kentik combine their efforts by integrating their solutions, they streamline the path and accelerate the adoption of network automation.”

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

Kentik Integrates with Itential

Kentik announced the integration of their two platforms, enabling NetOps teams to build and run automations to act on any event, from security risks to network optimization, and remediate the situation resulting in more accurate, secure, and efficient network infrastructure.

Kentik’s observability platform enables organizations to collect telemetry input from all critical network elements and turn that data into insights and actionable alerts for infrastructure teams. Itential enables infrastructure teams to automate network and security configuration changes across hybrid multi-cloud networks and quickly integrate with IT systems to orchestrate the entire end-to-end change management process. With Kentik’s advanced network observability platform combined with Itential’s network-centric automation and orchestration platform, NetOps teams can enable closed-loop automations in response to intelligently generated network events, ensuring critical infrastructure operates more securely and reliably than ever before.

“Automation and observability have long been independent pillars of network innovation. As infrastructure becomes increasingly distributed, enterprises now require observability data to integrate with and drive their automation efforts, said Chris Wade, CTO of Itential. “Our partnership with Kentik highlights the demand for seamless integration between observability and automation platforms at the API level, empowering NetOps teams to swiftly and confidently address issues faster and with greater confidence through automation.”

The technical alliance between Kentik and Itential brings security, reliability, and agility to networking, making it easier for enterprises to automate and manage complex hybrid multi-cloud networks. By integrating these two platforms together, network teams can build automations that utilize Kentik’s unique observability features, making changes to the network in real time for high priority incidents and notify the appropriate teams of these changes via group messaging and IT change management systems.

“Customers choose Kentik because of two things – first, we offer the most comprehensive and innovative network observability solution in the industry,” said Christoph Pfister, CPO, Kentik. “And second, they want a solution that can be fully and easily integrated with the rest of their operations stack, in order to leverage Kentik’s powerful AI-based insights for automating responses to network incidents. Our vision has always been to link insights to automation, and today we are taking big steps forward by providing an out-of-the-box integration with Itential’s best-in-class automation solution.

“The Network Automation Forum was founded to drive effective and practical network automation adoption, in much the same way that other technology sectors have done successfully,” said Scott Robohn, co-founder and managing director of the Network Automation Forum. “When modern technology vendors like Itential and Kentik combine their efforts by integrating their solutions, they streamline the path and accelerate the adoption of network automation.”

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...