Splunk announced Partner+ Program innovations and enhancements to the expanding partner ecosystem.
The Partner+ Program provides support and investments to drive the success of more than 1,600 Splunk partners around the world, including global system integrators, distributors, value-added resellers, technology alliance partners, OEMs and managed service providers.
“Splunk continues to invest in our partner’s success through our Partner+ Program,” said Susan St. Ledger, President, Worldwide Field Operations, Splunk. “We are committed to delivering business outcomes no matter the organization, team or dataset, working with our partners leveraging the natural chaos of the world of data to drive insight and value for customers. Our strong relationships exist due to the investment and enhancements made in the past year through increased partner engagement.”
Formed in 2017 the enhanced Partner+ Portal lets Splunk partners manage, grow, train and execute their Splunk business through a comprehensive experience. In the past year, the portal had more than 200,000 user logins, more than double the previous year. Recent Partner+ Portal enhancements include expanded single sign-on for easy access to partner tools, automated not-for-resale software delivery, a joint business planning tool and expanded business planning and reporting available to partners. A monthly enhancement cadence was also introduced, providing partners with new features on a continuing basis.
Further Partner+ Program enhancements and investments include:
- Introduced at the Global Partner Summit 2018, the Distribution Program went live in August 2018 and provides a global program framework, along with pay-for-performance incentives.
- An expanded global Rebate Incentive that improves offerings to partners, including sales engineer training and new logo rebates, demonstrating Splunk increasing investment in partners.
- An upgrade to the Splunk Certification Program that includes all new exam content, three new certifications and a more secure exam platform.
- Investment in new program tracks, including OEM and System Integrators (SIs). The OEM track will enable software developers and solution providers to embed Splunk’s powerful platform into their products to enable turnkey reporting, data forensics and big data analytics. The System Integrator track will enable SIs to build vertical solutions on Splunk. Both programs will launch at Global Partner Summit 2019.
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 ...