Skip to main content

Splunk Names New CEO

Splunk announced that Gary Steele has been appointed Chief Executive Officer of Splunk, and as a member of the company’s Board of Directors, effective April 11, 2022.

Steele is a highly regarded technology executive with over 30 years of experience and a proven track record of successfully scaling SaaS operations and growing multi-billion dollar global enterprises. Steele was the founding CEO of Proofpoint, and over the past two decades, he led the company’s growth from an early-stage start-up to a leading, publicly traded security-as-a-service provider to some of the world's best known organizations. As a public company, Proofpoint had a long history of strong growth combined with compelling free cash flow. Prior to Proofpoint, Steele was CEO of Portera and held various leadership roles at Sybase, Sun Microsystems and Hewlett-Packard.

“Gary is a visionary leader whose software and cybersecurity expertise, deep understanding of SaaS and recurring revenue models, and unwavering commitment to driving innovation and customer success on a global scale will be invaluable to Splunk on our path to $5 billion and beyond,” said Graham Smith, Interim CEO and Chair of Splunk. “We’re thrilled to welcome Gary to the Splunk team, and look forward to working with him to further scale the business and extend the value we provide our customers and partners.”

“Splunk has built one of the most respected brands in tech and is at the forefront of security and observability. I’m honored to join the company at such an important moment – for both Splunk and the industry,” said Steele. “I’ve dedicated my career to helping companies around the world safeguard their data, systems and infrastructure, and know firsthand how critical Splunk’s products and solutions have become to customers as they navigate hybrid, multi-cloud environments with increasingly complex attacks and threat actors. Splunk is executing against a tremendous opportunity, and I look forward to working with the team to ensure the business reaches its full potential.”

Steele continued, “Splunk has incredible talent and an innovative and customer-centric ethos. I can’t wait to get started and earn the right to call myself a Splunker.”

In connection with this announcement, Graham Smith, who has served as Interim CEO since November 2021, will return to his role as Chair of the Splunk Board when Steele joins the company.

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 ...

Splunk Names New CEO

Splunk announced that Gary Steele has been appointed Chief Executive Officer of Splunk, and as a member of the company’s Board of Directors, effective April 11, 2022.

Steele is a highly regarded technology executive with over 30 years of experience and a proven track record of successfully scaling SaaS operations and growing multi-billion dollar global enterprises. Steele was the founding CEO of Proofpoint, and over the past two decades, he led the company’s growth from an early-stage start-up to a leading, publicly traded security-as-a-service provider to some of the world's best known organizations. As a public company, Proofpoint had a long history of strong growth combined with compelling free cash flow. Prior to Proofpoint, Steele was CEO of Portera and held various leadership roles at Sybase, Sun Microsystems and Hewlett-Packard.

“Gary is a visionary leader whose software and cybersecurity expertise, deep understanding of SaaS and recurring revenue models, and unwavering commitment to driving innovation and customer success on a global scale will be invaluable to Splunk on our path to $5 billion and beyond,” said Graham Smith, Interim CEO and Chair of Splunk. “We’re thrilled to welcome Gary to the Splunk team, and look forward to working with him to further scale the business and extend the value we provide our customers and partners.”

“Splunk has built one of the most respected brands in tech and is at the forefront of security and observability. I’m honored to join the company at such an important moment – for both Splunk and the industry,” said Steele. “I’ve dedicated my career to helping companies around the world safeguard their data, systems and infrastructure, and know firsthand how critical Splunk’s products and solutions have become to customers as they navigate hybrid, multi-cloud environments with increasingly complex attacks and threat actors. Splunk is executing against a tremendous opportunity, and I look forward to working with the team to ensure the business reaches its full potential.”

Steele continued, “Splunk has incredible talent and an innovative and customer-centric ethos. I can’t wait to get started and earn the right to call myself a Splunker.”

In connection with this announcement, Graham Smith, who has served as Interim CEO since November 2021, will return to his role as Chair of the Splunk Board when Steele joins the company.

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 ...