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Splunk Updates Splunk Cloud, Data Stream Processor and Connected Experiences

Splunk announced the latest enhancements to Splunk Cloud, Splunk Data Stream Processor (DSP) and Splunk Connected Experiences that enables customers to bring a broader variety of data to every decision, question and action.

These improvements strengthen the foundational technologies of the Splunk platform and extend its cloud and machine learning (ML) capabilities.

“As organizations evolve, they face many challenges including the transition from on-premises to the cloud, which increases operational complexity,” said Sendur Sellakumar, CPOr, Splunk. “With Splunk’s cloud and platform solutions, organizations can minimize those complexities and make the shift to the cloud with high scale and performance in order to achieve business value much faster.”

Splunk Helps Customers Shift to the Cloud with Accelerated Splunk Cloud Advancements

In order to allow customers to embrace their growing data sources, Splunk is bringing innovations faster to customers with Splunk Cloud and an accelerated release schedule for premium solutions on Splunk Cloud. Splunk IT Service Intelligence (ITSI) 4.5 for Splunk Cloud delivers a centralized framework for monitoring and investigation in one view, and enhanced service monitoring and event management features to support large deployments.

Available with Splunk Cloud or Splunk Enterprise, the Splunk Machine Learning Toolkit (MLTK) has been updated with a simplified, customizable interface that provides broader access of the tool to less technical users and removes many barriers for machine learning exploration. MLTK version 5.2 provides visualization capabilities, a new family of Smart Assistants offering step-by-step guided workflows and additional SPL commands for machine learning algorithms. This toolkit enables users to build models for needs like forecasting, clustering and outlier detection. The Spunk MLTK extends the value of the Splunk platform by enabling customers to act as citizen data scientists. Customers can apply machine learning to their data to identify actionable insights that can help deliver key services and valuable business outcomes. The Splunk MLTK 5.2 app is now available for download and is complimentary with any Splunk Cloud or Splunk Enterprise entitlement.

Splunk further expanded its cloud capabilities through a strategic partnership with Google Cloud that brings customers a single-pane view for investigating, monitoring, analyzing and acting on their data in Google Cloud’s infrastructure. Splunk Cloud on Google Cloud gives customers more options on their cloud journey with Splunk.

Splunk Strengthens Core IT, Security and DevOps Capabilities with Data Stream Processor 1.1

With the continued increase of data that exists in multiple locations across organizations, customers need help harnessing information wherever it is and get it to the right teams and systems, in order to generate real-time insights. Splunk DSP 1.1 is a real-time stream processing solution that continuously collects, processes, and delivers data to the Splunk platform or other destinations within milliseconds. The latest release brings customers more control, visibility and insights with the ability to collect data into a single unified location for better visibility and leverage advanced streaming capabilities. Additionally, DSP 1.1 lets organizations mask customer or sensitive information on the stream and then route data to different locations within their organization with data guarantees.

Splunk Connected Experiences Add Mobile Device Management to Analyze Data and Act on Insights Anywhere

Splunk Connected Experiences deliver insights on-the-go through augmented reality, virtual reality and mobile devices that provide users with the ability to securely access their data anywhere at any time. Splunk has expanded Connected Experiences capabilities to support popular mobile device management (MDM) providers such as MobileIron and AirWatch which allow customers to securely deploy Splunk Mobile at scale and bring Splunk solutions to an increasingly mobile workforce.

Organizations are seeing a shift in the way teams are working together, and they spend a significant amount of time creating security and corporate policies in order to help keep themselves safe and compliant with relevant regulations. With the addition of MDM support, Splunk provides out-of-the-box integrations designed to align to corporate MDM policies and further facilitate the use of Splunk Mobile in the workforce.

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Splunk Updates Splunk Cloud, Data Stream Processor and Connected Experiences

Splunk announced the latest enhancements to Splunk Cloud, Splunk Data Stream Processor (DSP) and Splunk Connected Experiences that enables customers to bring a broader variety of data to every decision, question and action.

These improvements strengthen the foundational technologies of the Splunk platform and extend its cloud and machine learning (ML) capabilities.

“As organizations evolve, they face many challenges including the transition from on-premises to the cloud, which increases operational complexity,” said Sendur Sellakumar, CPOr, Splunk. “With Splunk’s cloud and platform solutions, organizations can minimize those complexities and make the shift to the cloud with high scale and performance in order to achieve business value much faster.”

Splunk Helps Customers Shift to the Cloud with Accelerated Splunk Cloud Advancements

In order to allow customers to embrace their growing data sources, Splunk is bringing innovations faster to customers with Splunk Cloud and an accelerated release schedule for premium solutions on Splunk Cloud. Splunk IT Service Intelligence (ITSI) 4.5 for Splunk Cloud delivers a centralized framework for monitoring and investigation in one view, and enhanced service monitoring and event management features to support large deployments.

Available with Splunk Cloud or Splunk Enterprise, the Splunk Machine Learning Toolkit (MLTK) has been updated with a simplified, customizable interface that provides broader access of the tool to less technical users and removes many barriers for machine learning exploration. MLTK version 5.2 provides visualization capabilities, a new family of Smart Assistants offering step-by-step guided workflows and additional SPL commands for machine learning algorithms. This toolkit enables users to build models for needs like forecasting, clustering and outlier detection. The Spunk MLTK extends the value of the Splunk platform by enabling customers to act as citizen data scientists. Customers can apply machine learning to their data to identify actionable insights that can help deliver key services and valuable business outcomes. The Splunk MLTK 5.2 app is now available for download and is complimentary with any Splunk Cloud or Splunk Enterprise entitlement.

Splunk further expanded its cloud capabilities through a strategic partnership with Google Cloud that brings customers a single-pane view for investigating, monitoring, analyzing and acting on their data in Google Cloud’s infrastructure. Splunk Cloud on Google Cloud gives customers more options on their cloud journey with Splunk.

Splunk Strengthens Core IT, Security and DevOps Capabilities with Data Stream Processor 1.1

With the continued increase of data that exists in multiple locations across organizations, customers need help harnessing information wherever it is and get it to the right teams and systems, in order to generate real-time insights. Splunk DSP 1.1 is a real-time stream processing solution that continuously collects, processes, and delivers data to the Splunk platform or other destinations within milliseconds. The latest release brings customers more control, visibility and insights with the ability to collect data into a single unified location for better visibility and leverage advanced streaming capabilities. Additionally, DSP 1.1 lets organizations mask customer or sensitive information on the stream and then route data to different locations within their organization with data guarantees.

Splunk Connected Experiences Add Mobile Device Management to Analyze Data and Act on Insights Anywhere

Splunk Connected Experiences deliver insights on-the-go through augmented reality, virtual reality and mobile devices that provide users with the ability to securely access their data anywhere at any time. Splunk has expanded Connected Experiences capabilities to support popular mobile device management (MDM) providers such as MobileIron and AirWatch which allow customers to securely deploy Splunk Mobile at scale and bring Splunk solutions to an increasingly mobile workforce.

Organizations are seeing a shift in the way teams are working together, and they spend a significant amount of time creating security and corporate policies in order to help keep themselves safe and compliant with relevant regulations. With the addition of MDM support, Splunk provides out-of-the-box integrations designed to align to corporate MDM policies and further facilitate the use of Splunk Mobile in the workforce.

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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 ...