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CA Technologies Marketing Associate Joins the Vendor Forum

Pete Goldin
APMdigest

Matthew Dubie, Marketing Associate at CA Technologies, has joined the APMdigest Vendor Forum.

Dubie has worked with the social media, corporate communications and product marketing teams. He holds a bachelor’s degree for business administration in management from the University of Massachusetts Amherst. Dubie enjoys staying on top of the latest trends in technology and writing about their impact on the application economy.

CA Technologies creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. From planning, to development, to management and security, CA is working with companies worldwide to change the way we live, transact, and communicate – across mobile, private and public cloud, distributed and mainframe environments.

Application Performance Management (APM) from CA Technologies helps make every user interaction a loyalty-building experience. Designed to scale to your organization’s needs, CA APM can manage billions of transactions from any device, automatically correlating multiple metrics to help you sort through the data and act decisively to protect the customer experience.

CA APM is designed with the sole purpose of protecting and building your brand reputation, and today app-brand-reputation is directly tied to the business outcome. With CA APM, you can deliver better performance and ensure an exceptional end-user experience for critical applications. Uniquely offering 360° Root-cause Diagnostics, Embedded Multi-Variant Analytics, Enterprise-Scale Metric Analysis so that every user transaction becomes a loyalty-building interaction. The largest and most innovative global organizations use CA APM to proactively manage applications so every user transaction becomes a loyalty-building interaction.

CA APM is a premier APM solution in the marketplace for enterprise organizations who demand the absolute best when monitoring applications they rely upon to drive revenue and strengthen their brand reputation.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...

CA Technologies Marketing Associate Joins the Vendor Forum

Pete Goldin
APMdigest

Matthew Dubie, Marketing Associate at CA Technologies, has joined the APMdigest Vendor Forum.

Dubie has worked with the social media, corporate communications and product marketing teams. He holds a bachelor’s degree for business administration in management from the University of Massachusetts Amherst. Dubie enjoys staying on top of the latest trends in technology and writing about their impact on the application economy.

CA Technologies creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. From planning, to development, to management and security, CA is working with companies worldwide to change the way we live, transact, and communicate – across mobile, private and public cloud, distributed and mainframe environments.

Application Performance Management (APM) from CA Technologies helps make every user interaction a loyalty-building experience. Designed to scale to your organization’s needs, CA APM can manage billions of transactions from any device, automatically correlating multiple metrics to help you sort through the data and act decisively to protect the customer experience.

CA APM is designed with the sole purpose of protecting and building your brand reputation, and today app-brand-reputation is directly tied to the business outcome. With CA APM, you can deliver better performance and ensure an exceptional end-user experience for critical applications. Uniquely offering 360° Root-cause Diagnostics, Embedded Multi-Variant Analytics, Enterprise-Scale Metric Analysis so that every user transaction becomes a loyalty-building interaction. The largest and most innovative global organizations use CA APM to proactively manage applications so every user transaction becomes a loyalty-building interaction.

CA APM is a premier APM solution in the marketplace for enterprise organizations who demand the absolute best when monitoring applications they rely upon to drive revenue and strengthen their brand reputation.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...