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Splunk Pledges $100 Million to Bring Technology Resources to the World

Splunk announced Splunk Pledge, a new philanthropic program through its Splunk4Good initiative.

Splunk Pledge commits to donate a minimum of $100 million over a 10-year period in software licenses, training, support, education and volunteerism to nonprofit organizations and educational institutions in order to support academic research and generate social impact.

“Splunk is deeply passionate in our belief that big data can bring societal good. That is the driving force behind Splunk Pledge,” said Doug Merritt, President and CEO, Splunk. “At nonprofits, IT budgets typically average one percent - making it challenging to fully leverage technology to accomplish their mission. By committing to help nonprofits and educational institutions with resources readily available, like free licenses and support, free education, and volunteerism by our staff, we can make a difference in the world.”

Software, Training and Support for Nonprofits: Nonprofit organizations often rely on donations from commercial partners to make their budgets go further and deliver on their core missions. By providing free software, Splunk Pledge will enable these organizations to reduce operating costs, improve their cybersecurity posture, streamline IT operations, perform research, analyze diverse data sources and gain visibility into their infrastructure. Splunk will also offer complimentary training and support for organizations receiving technology donations, ensuring each beneficiary can use the donation to its full potential.

Educating the Workforce of Tomorrow: Splunk is also announcing the global expansion of its successful Splunk Academic Program to train the workforce of tomorrow. The program currently has a nationwide reach of 339 institutions and more than 5 million students through Splunk partner Internet2, the nation’s largest research and education network. With global expansion, even more students around the world will have access to free Splunk education and training, empowering them to cultivate skills for jobs that are in high demand and receive exceptional pay benefits. Splunk welcomes any educational organization around the world to join the program and receive free education for their students.

Giving Back Through Volunteerism: In addition, Splunk employees receive paid time off to volunteer at the nonprofit organization of their choice through Splunk Pledge. Collectively, Splunk employees together will contribute up to 60,000 hours of paid volunteer time each year, providing support to the organizations, causes and social issues they are passionate about.

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Splunk Pledges $100 Million to Bring Technology Resources to the World

Splunk announced Splunk Pledge, a new philanthropic program through its Splunk4Good initiative.

Splunk Pledge commits to donate a minimum of $100 million over a 10-year period in software licenses, training, support, education and volunteerism to nonprofit organizations and educational institutions in order to support academic research and generate social impact.

“Splunk is deeply passionate in our belief that big data can bring societal good. That is the driving force behind Splunk Pledge,” said Doug Merritt, President and CEO, Splunk. “At nonprofits, IT budgets typically average one percent - making it challenging to fully leverage technology to accomplish their mission. By committing to help nonprofits and educational institutions with resources readily available, like free licenses and support, free education, and volunteerism by our staff, we can make a difference in the world.”

Software, Training and Support for Nonprofits: Nonprofit organizations often rely on donations from commercial partners to make their budgets go further and deliver on their core missions. By providing free software, Splunk Pledge will enable these organizations to reduce operating costs, improve their cybersecurity posture, streamline IT operations, perform research, analyze diverse data sources and gain visibility into their infrastructure. Splunk will also offer complimentary training and support for organizations receiving technology donations, ensuring each beneficiary can use the donation to its full potential.

Educating the Workforce of Tomorrow: Splunk is also announcing the global expansion of its successful Splunk Academic Program to train the workforce of tomorrow. The program currently has a nationwide reach of 339 institutions and more than 5 million students through Splunk partner Internet2, the nation’s largest research and education network. With global expansion, even more students around the world will have access to free Splunk education and training, empowering them to cultivate skills for jobs that are in high demand and receive exceptional pay benefits. Splunk welcomes any educational organization around the world to join the program and receive free education for their students.

Giving Back Through Volunteerism: In addition, Splunk employees receive paid time off to volunteer at the nonprofit organization of their choice through Splunk Pledge. Collectively, Splunk employees together will contribute up to 60,000 hours of paid volunteer time each year, providing support to the organizations, causes and social issues they are passionate about.

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.