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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.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...