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Splunk Expands Portfolio for IT Operations

Splunk announced enhancements to Splunk’s portfolio for IT Operations, including the launch of Splunk® Service Intelligence for SAP solutions, a new version of Splunk IT Service Intelligence (ITSI), Splunk Infrastructure Monitoring Add-On and Splunk IT Essentials.

With Splunk’s advanced IT solutions, customers can embrace cloud-driven transformation no matter where they are in their IT modernization journey.

While the shift to cloud is unlocking value for organizations of all sizes, the Data Age is driving exponential change and IT teams need dynamic solutions to meet these rapidly evolving business demands. Splunk’s IT Operations portfolio provides the most comprehensive, flexible and analytics-driven monitoring solution for all multicloud, on-premises and hybrid environments, equipping organizations with the solutions they need to navigate their cloud journey.

“Digital transformation and the rise of imperative digital business services have only accelerated over the past year due to the global pandemic, as more organizations migrate their mission critical business services and infrastructure to the cloud,” said Kia Behnia, VP, IT Operations, Splunk. “Splunk’s expanded and enhanced IT Operations solutions empower our customers to accelerate their cloud migration and manage their multicloud environment with confidence, providing the speed, scale, analytics and end-to-end visibility required to ensure the performance of their business and mission-critical services.”

Splunk Brings the Power of AI-Driven Monitoring to SAP Solutions

To thrive in the Data Age, organizations need a complete view of their data. This is further amplified through the tens of thousands of SAP customers who need visibility across their business to protect performance and ensure customer success. Building upon Splunk and SAP’s strategic partnership, Splunk Service Intelligence for SAP solutions, now in limited release, couples the power of artificial intelligence (AI)-based monitoring, with SAP technology stacks, creating end-to-end visibility across both the SAP solution-based and entire IT environment.

With Service Intelligence for SAP solutions, existing and new ITSI customers can gain a high-level view into the health of their services, as well as a deeper dive into different incidents so they can monitor, triage, resolve and report on mission-critical business services to prevent costly downtimes.

“SAP and Splunk continue to build on our partnership goal of enabling the Intelligent Enterprise with the launch of Splunk’s new Service Intelligence for SAP solutions on SAP App Center,” said Tom Roberts, Global Head of Software Solution Partners, SAP. “This collaboration with Splunk demonstrates our joint commitment to customer success, enabling organizations to run at their best, with a resilient and agile approach to today’s challenging environment.”

Splunk IT Solutions Deliver Efficiency and Business Impact, In Any Environment

In today’s digital world, outages can be costly and IT teams using multiple, disconnected monitoring tools are often left grappling with inefficient processes and incomplete visibility when trying to resolve incidents. The latest version of Splunk IT Service Intelligence gives teams end-to-end visibility, operational efficiency and business intelligence so organizations can predict incidents before they impact customers, whether their deployment is cloud-based or on-premises.

Organizations in any environment can use Splunk ITSI to correlate and apply machine learning (ML) to all data, for real-time performance monitoring, intelligent alerting and integrated incident management. With enhanced service monitoring dashboards, high-performance event analytics and updated ML capabilities, customers can now spend less time troubleshooting and more time driving business impact.

Additionally, the Splunk Infrastructure Monitoring Add-On allows organizations to seamlessly collect and integrate Splunk Infrastructure Monitoring (formerly SignalFx Infrastructure Monitoring) metrics data with the Splunk Data-to-Everything Platform, enabling holistic monitoring and investigation across all environments. For Splunk ITSI customers, this integration further enables organizations with KPI service monitoring and alert management to increase both productivity and visibility throughout the environment.

Other advancements include the new Splunk IT Essentials, for Splunk Cloud, now available in beta, offering curated step-by-step guidance for new users looking to monitor and gain insights from common IT sources. This in addition to Splunk’s enhanced capabilities across the IT Operations portfolio allows organizations to deliver faster time to insight and accelerate their IT modernization journey with ease.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

Splunk Expands Portfolio for IT Operations

Splunk announced enhancements to Splunk’s portfolio for IT Operations, including the launch of Splunk® Service Intelligence for SAP solutions, a new version of Splunk IT Service Intelligence (ITSI), Splunk Infrastructure Monitoring Add-On and Splunk IT Essentials.

With Splunk’s advanced IT solutions, customers can embrace cloud-driven transformation no matter where they are in their IT modernization journey.

While the shift to cloud is unlocking value for organizations of all sizes, the Data Age is driving exponential change and IT teams need dynamic solutions to meet these rapidly evolving business demands. Splunk’s IT Operations portfolio provides the most comprehensive, flexible and analytics-driven monitoring solution for all multicloud, on-premises and hybrid environments, equipping organizations with the solutions they need to navigate their cloud journey.

“Digital transformation and the rise of imperative digital business services have only accelerated over the past year due to the global pandemic, as more organizations migrate their mission critical business services and infrastructure to the cloud,” said Kia Behnia, VP, IT Operations, Splunk. “Splunk’s expanded and enhanced IT Operations solutions empower our customers to accelerate their cloud migration and manage their multicloud environment with confidence, providing the speed, scale, analytics and end-to-end visibility required to ensure the performance of their business and mission-critical services.”

Splunk Brings the Power of AI-Driven Monitoring to SAP Solutions

To thrive in the Data Age, organizations need a complete view of their data. This is further amplified through the tens of thousands of SAP customers who need visibility across their business to protect performance and ensure customer success. Building upon Splunk and SAP’s strategic partnership, Splunk Service Intelligence for SAP solutions, now in limited release, couples the power of artificial intelligence (AI)-based monitoring, with SAP technology stacks, creating end-to-end visibility across both the SAP solution-based and entire IT environment.

With Service Intelligence for SAP solutions, existing and new ITSI customers can gain a high-level view into the health of their services, as well as a deeper dive into different incidents so they can monitor, triage, resolve and report on mission-critical business services to prevent costly downtimes.

“SAP and Splunk continue to build on our partnership goal of enabling the Intelligent Enterprise with the launch of Splunk’s new Service Intelligence for SAP solutions on SAP App Center,” said Tom Roberts, Global Head of Software Solution Partners, SAP. “This collaboration with Splunk demonstrates our joint commitment to customer success, enabling organizations to run at their best, with a resilient and agile approach to today’s challenging environment.”

Splunk IT Solutions Deliver Efficiency and Business Impact, In Any Environment

In today’s digital world, outages can be costly and IT teams using multiple, disconnected monitoring tools are often left grappling with inefficient processes and incomplete visibility when trying to resolve incidents. The latest version of Splunk IT Service Intelligence gives teams end-to-end visibility, operational efficiency and business intelligence so organizations can predict incidents before they impact customers, whether their deployment is cloud-based or on-premises.

Organizations in any environment can use Splunk ITSI to correlate and apply machine learning (ML) to all data, for real-time performance monitoring, intelligent alerting and integrated incident management. With enhanced service monitoring dashboards, high-performance event analytics and updated ML capabilities, customers can now spend less time troubleshooting and more time driving business impact.

Additionally, the Splunk Infrastructure Monitoring Add-On allows organizations to seamlessly collect and integrate Splunk Infrastructure Monitoring (formerly SignalFx Infrastructure Monitoring) metrics data with the Splunk Data-to-Everything Platform, enabling holistic monitoring and investigation across all environments. For Splunk ITSI customers, this integration further enables organizations with KPI service monitoring and alert management to increase both productivity and visibility throughout the environment.

Other advancements include the new Splunk IT Essentials, for Splunk Cloud, now available in beta, offering curated step-by-step guidance for new users looking to monitor and gain insights from common IT sources. This in addition to Splunk’s enhanced capabilities across the IT Operations portfolio allows organizations to deliver faster time to insight and accelerate their IT modernization journey with ease.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...