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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.

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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.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...