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Splunk Observability and Cisco ThousandEyes Add New Integrations

Splunk Observability and Cisco ThousandEyes Assurance are being connected with new bidirectional integrations that connect the dots across the digital stack – from application to infrastructure to network. 

While many customers already use both solutions by way of open standards like OpenTelemetry, these new integrations go further – designed to ensure shared context for faster root cause analysis, quicker recovery times, and ultimately better performance and reliability for end users.

While Splunk empowers you to build a leading observability practice, with visibility across applications and infrastructure to see the business impact of performance problems, ThousandEyes Assurance extends this visibility with deep intelligence across owned networks you control and unowned networks you don’t (such as ISPs and cloud providers) so you can see, understand, and improve every connected experience.

By combining real-time observability with deep network intelligence across your digital footprint, Cisco enables ITOps, networking, and engineering teams to correlate telemetry data from applications, infrastructure, and external networks like ISPs into a single, unified view. With advanced analytics, AI-driven incident management, and automated workflows, the integrations help teams prevent problems, resolve issues faster, and deliver reliable digital experiences for users.

Together, Splunk and ThousandEyes are helping organizations achieve stronger digital resilience by providing a unified view across application, infrastructure, and networking domains. These integrations include:

  • The Splunk IT Service Intelligence (ITSI) integration with Cisco ThousandEyes: Splunk IT Service Intelligence (ITSI) is a premium AIOps solution for intelligent IT operations, providing AI-driven event correlation, service health and business KPI monitoring, predictive analytics and automation. With the new bidirectional integration between Splunk ITSI and ThousandEyes, ITSI customers gain deeper visibility into both owned and unowned networks, as well as critical digital experience insights for faster, smarter root cause analysis– now seamlessly integrated into their existing views. At the same time, ThousandEyes customers benefit from enriched data by accessing their network health correlated with Splunk ITSI’s service health and business impact analysis directly within the ThousandEyes platform. The result: NetOps, ITOps, and engineering teams are better equipped to prevent and contain issues, delivering AI-driven incident management across all applications, infrastructure, and networks.
  • Splunk Observability Cloud integration with Cisco ThousandEyes: This integration brings together ThousandEyes Assurance capabilities and Splunk Observability Cloud to provide customers a full view of the entire digital stack. Now, networking and engineering teams get shared context and visibility that empower them to collaborate to solve issues faster. This integration leverages new ThousandEyes distributed tracing support to pull trace data from Splunk APM into the ThousandEyes platform, showing the backend application services and interactions between them. And with in-context cross-launching capabilities, you can seamlessly navigate between platforms to further investigate issues. Now joint customers get a unified view from network to cloud to application, breaking down silos between teams so they can resolve issues faster.
  • Cisco ThousandEyes App for Splunk: The Cisco ThousandEyes App for Splunk empowers customers to automatically collect, map, and visualize digital experience intelligence from ThousandEyes within Splunk dashboards. Unlock rapid insights with seamless integration of ThousandEyes data and pre-built, customizable visualizations for instant value.

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Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

Splunk Observability and Cisco ThousandEyes Add New Integrations

Splunk Observability and Cisco ThousandEyes Assurance are being connected with new bidirectional integrations that connect the dots across the digital stack – from application to infrastructure to network. 

While many customers already use both solutions by way of open standards like OpenTelemetry, these new integrations go further – designed to ensure shared context for faster root cause analysis, quicker recovery times, and ultimately better performance and reliability for end users.

While Splunk empowers you to build a leading observability practice, with visibility across applications and infrastructure to see the business impact of performance problems, ThousandEyes Assurance extends this visibility with deep intelligence across owned networks you control and unowned networks you don’t (such as ISPs and cloud providers) so you can see, understand, and improve every connected experience.

By combining real-time observability with deep network intelligence across your digital footprint, Cisco enables ITOps, networking, and engineering teams to correlate telemetry data from applications, infrastructure, and external networks like ISPs into a single, unified view. With advanced analytics, AI-driven incident management, and automated workflows, the integrations help teams prevent problems, resolve issues faster, and deliver reliable digital experiences for users.

Together, Splunk and ThousandEyes are helping organizations achieve stronger digital resilience by providing a unified view across application, infrastructure, and networking domains. These integrations include:

  • The Splunk IT Service Intelligence (ITSI) integration with Cisco ThousandEyes: Splunk IT Service Intelligence (ITSI) is a premium AIOps solution for intelligent IT operations, providing AI-driven event correlation, service health and business KPI monitoring, predictive analytics and automation. With the new bidirectional integration between Splunk ITSI and ThousandEyes, ITSI customers gain deeper visibility into both owned and unowned networks, as well as critical digital experience insights for faster, smarter root cause analysis– now seamlessly integrated into their existing views. At the same time, ThousandEyes customers benefit from enriched data by accessing their network health correlated with Splunk ITSI’s service health and business impact analysis directly within the ThousandEyes platform. The result: NetOps, ITOps, and engineering teams are better equipped to prevent and contain issues, delivering AI-driven incident management across all applications, infrastructure, and networks.
  • Splunk Observability Cloud integration with Cisco ThousandEyes: This integration brings together ThousandEyes Assurance capabilities and Splunk Observability Cloud to provide customers a full view of the entire digital stack. Now, networking and engineering teams get shared context and visibility that empower them to collaborate to solve issues faster. This integration leverages new ThousandEyes distributed tracing support to pull trace data from Splunk APM into the ThousandEyes platform, showing the backend application services and interactions between them. And with in-context cross-launching capabilities, you can seamlessly navigate between platforms to further investigate issues. Now joint customers get a unified view from network to cloud to application, breaking down silos between teams so they can resolve issues faster.
  • Cisco ThousandEyes App for Splunk: The Cisco ThousandEyes App for Splunk empowers customers to automatically collect, map, and visualize digital experience intelligence from ThousandEyes within Splunk dashboards. Unlock rapid insights with seamless integration of ThousandEyes data and pre-built, customizable visualizations for instant value.

The Latest

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...