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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.

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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 ...