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CA Technologies and Fujitsu Form Strategic Alliance

New Partnership to Help Assure Service Quality Across the Application Infrastructure and Support Cloud Development

CA Technologies and Fujitsu Limited have formed a strategic alliance that will enhance each company’s service assurance product portfolio and cloud computing strategy.

In the initial stage of the alliance, the companies have signed an OEM agreement under which Fujitsu will sell CA Application Performance Management (CA APM) in Japan, and offer it with their SOA middleware suites and system management software suites. In addition, CA Technologies will offer Fujitsu’s Interstage Business Process Manager Analytics product worldwide, as CA Business Process Performance Analytics (CA BPPA), as an add-on option to CA APM.

This partnership enhances the ability of both CA Technologies and Fujitsu to help organizations improve management of heterogeneous enterprise IT environments and dynamically optimize IT supply chains. Using the solutions from CA Technologies and Fujitsu, organizations can launch new cloud initiatives with comprehensive transaction and business process performance visibility across the application infrastructure. CA says this will help assure that service delivery is meeting end user expectations and business objectives.

“The combination of CA Technologies and Fujitsu products will make both companies' IT and business solution offerings more comprehensive and competitive,” said Masato Nitta, president of Fujitsu’s Middleware Business Unit. “CA APM proactively pinpoints and resolves performance problems with key IT services in real time to assure the consistently high service delivery levels customers demand. Fujitsu Interstage Business Process Manager Analytics complements CA APM by correlating and translating application performance problems into business and business process contexts.”

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CA Technologies and Fujitsu Form Strategic Alliance

New Partnership to Help Assure Service Quality Across the Application Infrastructure and Support Cloud Development

CA Technologies and Fujitsu Limited have formed a strategic alliance that will enhance each company’s service assurance product portfolio and cloud computing strategy.

In the initial stage of the alliance, the companies have signed an OEM agreement under which Fujitsu will sell CA Application Performance Management (CA APM) in Japan, and offer it with their SOA middleware suites and system management software suites. In addition, CA Technologies will offer Fujitsu’s Interstage Business Process Manager Analytics product worldwide, as CA Business Process Performance Analytics (CA BPPA), as an add-on option to CA APM.

This partnership enhances the ability of both CA Technologies and Fujitsu to help organizations improve management of heterogeneous enterprise IT environments and dynamically optimize IT supply chains. Using the solutions from CA Technologies and Fujitsu, organizations can launch new cloud initiatives with comprehensive transaction and business process performance visibility across the application infrastructure. CA says this will help assure that service delivery is meeting end user expectations and business objectives.

“The combination of CA Technologies and Fujitsu products will make both companies' IT and business solution offerings more comprehensive and competitive,” said Masato Nitta, president of Fujitsu’s Middleware Business Unit. “CA APM proactively pinpoints and resolves performance problems with key IT services in real time to assure the consistently high service delivery levels customers demand. Fujitsu Interstage Business Process Manager Analytics complements CA APM by correlating and translating application performance problems into business and business process contexts.”

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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 ...