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Splunk Introduces Splunk App for NetApp Data ONTAP v2.0

Splunk announced version 2.0 of the Splunk App for NetApp Data ONTAP, which provides comprehensive visibility into the operational health of NetApp Data ONTAP storage systems.

The app correlates NetApp data with all other IT data in Splunk Enterprise for a central real-time view of key performance indicators across the entire IT infrastructure. Learn more about the Splunk App for NetApp Data ONTAP on the Splunk website and download the App today for free from the Splunk Apps website.

“The Splunk App for NetApp Data ONTAP provides an essential building block in data center infrastructure monitoring,” said Leena Joshi, senior director of solutions marketing, Splunk. “The app provides the ability to gain operational analytics relevant to NetApp data, such as those required for resource or capacity optimization and also enables end-to-end visibility and correlation across multiple technology layers with Splunk Enterprise.”

"NetApp Data ONTAP software delivers a unified storage platform for scalability and flexibility and features clustering capabilities to keep our customers' business running nonstop," said Glenn Rhodes, senior director, product marketing Data ONTAP, NetApp. "Splunk software complements existing NetApp OnCommand products and helps them correlate their storage infrastructure data with other technology tiers for reduced time to resolution and advanced analytics such as security intelligence and alert monitoring."

The Splunk App for NetApp Data ONTAP enables organizations to reduce problem investigation and resolution times, optimize storage resources and meet critical applications and storage SLAs through proactive monitoring of NetApp Data ONTAP systems.

In addition, Splunk Enterprise enables organizations to correlate storage data with data from all other physical and virtual technology tiers.

With the Splunk App for NetApp Data ONTAP, organizations can:

- Visualize the operational health of NetApp Data ONTAP systems in both 7-Mode and Cluster-Mode with visibility to storage controllers, clusters, disk aggregates, volumes, logical unit numbers (LUNs) and qtrees.

- Get real-time notification of important NetApp Data ONTAP events such as syslog and performance metrics for easy identification of anomalies across all storage systems.

- Improve storage monitoring efficiency and proactively plan storage capacity allocation by customizing any of the built-in 30 reports.

- Correlate data from NetApp Data ONTAP systems with data from applications, network, virtual and physical compute and OS infrastructure for enterprise-wide visibility with Splunk Enterprise.

- Gain the ability to easily correlate data from Data ONTAP storage environment with Splunk App for VMware storage constructs.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Splunk Introduces Splunk App for NetApp Data ONTAP v2.0

Splunk announced version 2.0 of the Splunk App for NetApp Data ONTAP, which provides comprehensive visibility into the operational health of NetApp Data ONTAP storage systems.

The app correlates NetApp data with all other IT data in Splunk Enterprise for a central real-time view of key performance indicators across the entire IT infrastructure. Learn more about the Splunk App for NetApp Data ONTAP on the Splunk website and download the App today for free from the Splunk Apps website.

“The Splunk App for NetApp Data ONTAP provides an essential building block in data center infrastructure monitoring,” said Leena Joshi, senior director of solutions marketing, Splunk. “The app provides the ability to gain operational analytics relevant to NetApp data, such as those required for resource or capacity optimization and also enables end-to-end visibility and correlation across multiple technology layers with Splunk Enterprise.”

"NetApp Data ONTAP software delivers a unified storage platform for scalability and flexibility and features clustering capabilities to keep our customers' business running nonstop," said Glenn Rhodes, senior director, product marketing Data ONTAP, NetApp. "Splunk software complements existing NetApp OnCommand products and helps them correlate their storage infrastructure data with other technology tiers for reduced time to resolution and advanced analytics such as security intelligence and alert monitoring."

The Splunk App for NetApp Data ONTAP enables organizations to reduce problem investigation and resolution times, optimize storage resources and meet critical applications and storage SLAs through proactive monitoring of NetApp Data ONTAP systems.

In addition, Splunk Enterprise enables organizations to correlate storage data with data from all other physical and virtual technology tiers.

With the Splunk App for NetApp Data ONTAP, organizations can:

- Visualize the operational health of NetApp Data ONTAP systems in both 7-Mode and Cluster-Mode with visibility to storage controllers, clusters, disk aggregates, volumes, logical unit numbers (LUNs) and qtrees.

- Get real-time notification of important NetApp Data ONTAP events such as syslog and performance metrics for easy identification of anomalies across all storage systems.

- Improve storage monitoring efficiency and proactively plan storage capacity allocation by customizing any of the built-in 30 reports.

- Correlate data from NetApp Data ONTAP systems with data from applications, network, virtual and physical compute and OS infrastructure for enterprise-wide visibility with Splunk Enterprise.

- Gain the ability to easily correlate data from Data ONTAP storage environment with Splunk App for VMware storage constructs.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...