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Splunk Enhances Observability Portfolio

Splunk announced the latest enhancements to the Splunk observability portfolio including advanced product innovations for Splunk Application Performance Monitoring (APM), Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring, Splunk Log Observer, Splunk Infrastructure Monitoring and Splunk IT Service Intelligence.

With these expanded observability capabilities, Splunk customers gain increased visibility across all environments, significantly accelerating performance, productivity and innovation, all the while propelling their data-driven transformations forward.

In today’s hyper-digital world, IT and DevOps teams are feeling pressure from all sides of the business to innovate faster, keep services reliable and deliver exceptional customer experiences. This strain is only intensified by the continued adoption of cloud-native technologies and the increasingly complex infrastructure and applications that accompany them. The Splunk observability portfolio provides customers with a unified solution that offers full-stack, service-centric, AI-powered observability and complete control of their data — metrics, traces and logs — from the front-end device to the back-end application service, all in real-time and at scale. With Splunk’s observability capabilities, customers gain increased visibility and actionable insights across the complete user experience, enabling them with faster time-to-value to drive business outcomes.

“Observability at its core is a data opportunity, and to use that data effectively organizations need a solution that can help ingest and analyze high-velocity data across increasingly dynamic environments and architectures,” said Spiros Xanthos, VP of Product Management, Observability and IT Operations, Splunk. “Our advanced observability capabilities bring monitoring into the modern era, empowering IT and DevOps teams to find, fix and prevent issues at any stage of their digital transformation journeys so they can deliver optimal user experiences.”

Splunk Expands Breadth and Depth of Industry-Leading Observability

Splunk has increased the breadth and depth of its industry-leading observability portfolio, enabling customers with the most comprehensive view of their services, infrastructure, applications and users. To enhance the reliability and performance of customers’ existing monolithic applications, Splunk unveiled the new AlwaysOn Profiling for Splunk APM, currently in preview. Splunk AlwaysOn Profiling extends existing full-fidelity tracing to provide customers with continuous code-level visibility and analysis so they can find and fix service bottlenecks, along with identifying resource optimization and cloud cost savings opportunities. Splunk is also previewing enhanced Database Visibility for Splunk APM, which automatically uncovers slow queries that are causing transaction latency, without having to instrument their databases. With these innovations, Splunk APM customers can now monitor and troubleshoot application performance issues up to 80% faster, accelerating code deployments and reducing service interruptions before they impact the end user.

With the general availability of Splunk RUM for Mobile Applications based on OpenTelemetry standards, customers gain comprehensive performance monitoring and directed troubleshooting for native and hybrid mobile applications on iOS and Android. Splunk is also providing on-call site reliability engineers and developers with the flexibility to be responsive and productive, no matter where they are in the world, with the general availability of Splunk Observability Cloud for Mobile. Splunk Observability Cloud for Mobile allows teams to quickly view, respond to and triage incidents right from their mobile devices.

Splunk Accelerates Time-To-Value for Customers with Out-of-the-Box Capabilities and Integrations

Splunk is making it easier to get started with observability. With the new integration between Splunk Log Observer and Splunk Enterprise, currently in preview, existing Splunk customers can leverage Splunk’s intuitive observability interface to explore and troubleshoot any logs in the Splunk platform. This helps customers centralize their log data in Splunk Enterprise, as well as correlate metric and trace data in observability with those logs.

Splunk is also ramping up customers’ ability to turn data into insight, fast. With new out-of-the-box dashboards and detectors, Splunk customers gain instant value and reduce any heavy lifting with initial setup. The new Splunk Infrastructure Monitoring AutoDetect, currently in preview, simplifies onboarding and accelerates time-to-value by automatically discovering infrastructure anomalies and intuitively incorporating alert status into dashboards. Additionally, the Splunk App for Content Packs act as a one-stop shop for prepackaged content, out-of-the-box searches and dashboards for common IT infrastructure apps and services — including new Content Packs for managing Microsoft365, Third-party APM tools and Synthetic Monitoring.

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Splunk Enhances Observability Portfolio

Splunk announced the latest enhancements to the Splunk observability portfolio including advanced product innovations for Splunk Application Performance Monitoring (APM), Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring, Splunk Log Observer, Splunk Infrastructure Monitoring and Splunk IT Service Intelligence.

With these expanded observability capabilities, Splunk customers gain increased visibility across all environments, significantly accelerating performance, productivity and innovation, all the while propelling their data-driven transformations forward.

In today’s hyper-digital world, IT and DevOps teams are feeling pressure from all sides of the business to innovate faster, keep services reliable and deliver exceptional customer experiences. This strain is only intensified by the continued adoption of cloud-native technologies and the increasingly complex infrastructure and applications that accompany them. The Splunk observability portfolio provides customers with a unified solution that offers full-stack, service-centric, AI-powered observability and complete control of their data — metrics, traces and logs — from the front-end device to the back-end application service, all in real-time and at scale. With Splunk’s observability capabilities, customers gain increased visibility and actionable insights across the complete user experience, enabling them with faster time-to-value to drive business outcomes.

“Observability at its core is a data opportunity, and to use that data effectively organizations need a solution that can help ingest and analyze high-velocity data across increasingly dynamic environments and architectures,” said Spiros Xanthos, VP of Product Management, Observability and IT Operations, Splunk. “Our advanced observability capabilities bring monitoring into the modern era, empowering IT and DevOps teams to find, fix and prevent issues at any stage of their digital transformation journeys so they can deliver optimal user experiences.”

Splunk Expands Breadth and Depth of Industry-Leading Observability

Splunk has increased the breadth and depth of its industry-leading observability portfolio, enabling customers with the most comprehensive view of their services, infrastructure, applications and users. To enhance the reliability and performance of customers’ existing monolithic applications, Splunk unveiled the new AlwaysOn Profiling for Splunk APM, currently in preview. Splunk AlwaysOn Profiling extends existing full-fidelity tracing to provide customers with continuous code-level visibility and analysis so they can find and fix service bottlenecks, along with identifying resource optimization and cloud cost savings opportunities. Splunk is also previewing enhanced Database Visibility for Splunk APM, which automatically uncovers slow queries that are causing transaction latency, without having to instrument their databases. With these innovations, Splunk APM customers can now monitor and troubleshoot application performance issues up to 80% faster, accelerating code deployments and reducing service interruptions before they impact the end user.

With the general availability of Splunk RUM for Mobile Applications based on OpenTelemetry standards, customers gain comprehensive performance monitoring and directed troubleshooting for native and hybrid mobile applications on iOS and Android. Splunk is also providing on-call site reliability engineers and developers with the flexibility to be responsive and productive, no matter where they are in the world, with the general availability of Splunk Observability Cloud for Mobile. Splunk Observability Cloud for Mobile allows teams to quickly view, respond to and triage incidents right from their mobile devices.

Splunk Accelerates Time-To-Value for Customers with Out-of-the-Box Capabilities and Integrations

Splunk is making it easier to get started with observability. With the new integration between Splunk Log Observer and Splunk Enterprise, currently in preview, existing Splunk customers can leverage Splunk’s intuitive observability interface to explore and troubleshoot any logs in the Splunk platform. This helps customers centralize their log data in Splunk Enterprise, as well as correlate metric and trace data in observability with those logs.

Splunk is also ramping up customers’ ability to turn data into insight, fast. With new out-of-the-box dashboards and detectors, Splunk customers gain instant value and reduce any heavy lifting with initial setup. The new Splunk Infrastructure Monitoring AutoDetect, currently in preview, simplifies onboarding and accelerates time-to-value by automatically discovering infrastructure anomalies and intuitively incorporating alert status into dashboards. Additionally, the Splunk App for Content Packs act as a one-stop shop for prepackaged content, out-of-the-box searches and dashboards for common IT infrastructure apps and services — including new Content Packs for managing Microsoft365, Third-party APM tools and Synthetic Monitoring.

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 ...