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.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...