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InRule Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Alan Young, Chief Product Officer at InRule, has joined the DEVOPSdigest Vendor Forum.

Young joined InRule in 2019 and leads InRule’s engineering, architecture and product design teams and is responsible for translating InRule’s corporate vision and strategy into product delivery. Young brings extensive technology and business strategy expertise to InRule. Prior to joining InRule, he served in product and technology leadership roles for enterprise software and services providers such as CA Technologies (Office of the CTO, corporate vice president), BEA Systems (Office of the CTO, vice president and corporate architect), and Progress Software (senior vice president and general manager), and Pricewaterhouse Coopers (Global Innovation Software Labs, chief technology officer). He holds more than 10 patents related to business events, business processes and integrated data analysis and management. Young holds an MBA from Boston University’s School of Management and a Bachelor of Science in Computer Science from the University of Texas, El Paso.

InRule Technology enables enterprises to understand and automate decisions with unparalleled speed, agility, accuracy and transparency. IT and business personnel rely on InRule’s decision platform, including its Business Rules Management System (BRMS), to increase productivity, grow revenue and enhance customer service. With its "author first" approach, InRule empowers both technical and business rule authors to write and manage rules. From on-premises, to the cloud and via mobile, InRule allows organizations to run rules anywhere for extreme flexibility and scalability.

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InRule Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Alan Young, Chief Product Officer at InRule, has joined the DEVOPSdigest Vendor Forum.

Young joined InRule in 2019 and leads InRule’s engineering, architecture and product design teams and is responsible for translating InRule’s corporate vision and strategy into product delivery. Young brings extensive technology and business strategy expertise to InRule. Prior to joining InRule, he served in product and technology leadership roles for enterprise software and services providers such as CA Technologies (Office of the CTO, corporate vice president), BEA Systems (Office of the CTO, vice president and corporate architect), and Progress Software (senior vice president and general manager), and Pricewaterhouse Coopers (Global Innovation Software Labs, chief technology officer). He holds more than 10 patents related to business events, business processes and integrated data analysis and management. Young holds an MBA from Boston University’s School of Management and a Bachelor of Science in Computer Science from the University of Texas, El Paso.

InRule Technology enables enterprises to understand and automate decisions with unparalleled speed, agility, accuracy and transparency. IT and business personnel rely on InRule’s decision platform, including its Business Rules Management System (BRMS), to increase productivity, grow revenue and enhance customer service. With its "author first" approach, InRule empowers both technical and business rule authors to write and manage rules. From on-premises, to the cloud and via mobile, InRule allows organizations to run rules anywhere for extreme flexibility and scalability.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

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 ...