Dell EMC announced an expanded relationship with Spunk that will provide organizations with an analytics-driven approach to resolve infrastructure and application problems faster, reduce downtime and increase customer satisfaction.
By combining technology from both Dell EMC and Splunk, customers can leverage a simpler path to the adoption and expansion of Splunk through a pre-engineered portfolio of purpose-built systems for Splunk Enterprise.
The new Dell EMC Ready Systems for Splunk help organizations of all sizes combine the power of Splunk with the simplicity and scalability of Dell EMC VxRail Appliances and Dell EMC VxRack System FLEX.
Machine data can reveal valuable information about user transactions, customer behavior, machine behavior, IT operations analytics, security threats, fraudulent activity and more. Dell EMC Ready Systems are engineered to handle this high-volume, high-velocity and highly diverse data set, enabling customers to harness the power of Splunk’s monitoring, analytics, and machine learning capabilities with the simplified deployment and scalability of Dell EMC hyper-converged infrastructure.
Splunk makes it simple to collect, analyze and act upon the untapped value of machine data generated by infrastructure, security solutions and business applications – giving organizations more insights to drive operational performance and business results as well as up to 90% reduction in mean time to resolution. Designed for customers looking to maximize their Splunk investment, the new Dell EMC Ready Systems for Splunk helps consolidate, simplify and protect machine data. The new Dell EMC Ready System maximizes customer’s Splunk investments through the scale and ease of deployment Dell EMC hyper-converged infrastructure brings to the table.
Two flavors of Dell EMC Ready Systems for Splunk are now available. For small- to medium-sized businesses standardized on VMware, Dell EMC Ready System for Splunk on VxRail offers the benefits of the only Splunk appliances powered by Dell EMC PowerEdge platforms that are fully integrated and pre-tested with VMware vSAN to seamlessly extend existing VMware environments, simplify deployment and enable IT organizations to leverage in-house expertise and operational processes.
Dell EMC Ready System for Splunk on VxRack FLEX is ideal for medium- to large-sized businesses that require data center rack scale, and support for multiple hypervisors, operating systems and bare-metal configurations, and want to run multiple workloads in a single rack.
Availability
The Dell EMC Ready System for Splunk solutions are now globally available directly through Dell EMC and its channel partners.
The Latest
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 ...