ScienceLogic announced that Mike Denning was named Chief Operating Officer and Brant Kennedy was named Chief Revenue Officer.
As Chief Operating Officer at ScienceLogic, Mike Denning will lead product management, development, IT operations, support, and service delivery. Mike brings deep management experience to ScienceLogic, having previously run several globally-diverse, at-scale businesses. Most recently, Denning ran the Global Security Practice for Verizon Enterprise Solutions, a provider of managed security services. Prior to that, he was the GM of the Identity and Access Management business for CA Technologies, where he oversaw the successful acquisition and integration of Layer 7 Technologies and Arcot Systems. At VeriSign, Denning led and grew multiple security and IT management-related businesses.
“It’s great to be joining the team during such an exciting time, with forward momentum across the IT monitoring industry at large and at ScienceLogic in particular,” said Denning. “I look forward to rolling up my sleeves and helping many more enterprises and service providers reap the benefits of our hybrid IT monitoring software.”
As Chief Revenue Officer, Brant Kennedy is responsible for all revenue-generating activities at ScienceLogic. He has a rich history developing strategic direction for sales go-to-market, sales engineering, marketing, and channel programs. With over 25 years of sales and marketing experience in IT networking and IT security, he has developed highly effective sales organizations in government, enterprise, telco, service provider, and global account markets at both startups and market leaders. Prior to ScienceLogic, Kennedy held executive and sales leadership positions at ForeScout, Sybase, Orchestria, Nokia, and Cabletron.
“Enterprise, governments and service providers face unprecedented challenges with device proliferation, traditional legacy monitoring approaches, and cloud network convergence,” said Kennedy. “ScienceLogic’s customer-first approach delivers world class solutions that customers need. I’m excited to be joining a great company and a great team.”
The Latest
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...