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CA Introduces Ten New Cloud Solution Releases

CA Technologies is helping simplify “cloud choice” with new and updated products and solutions for enterprises and service providers.

CA Business Service Insight 8.0

· Developed to manage the service performance of both cloud-based and traditional services, CA Business Service Insight helps enterprises plan and assure cloud initiatives. By offering features to discover, compare and measure services and service levels, customers can make the best informed choices around service options.

· Customers can benchmark and compare internal and external services and their performance by using the Service Measurement Index hosted at Cloud Commons. In addition, Business Service Insight provides the ability to research different service options using social interaction. Valuable service opinion and comparison data can be collected by creating questionnaires to poll peers in the industry.

· Business Service Insight also helps customers reduce performance and security risk by providing the ability to discover the traditional and cloud services currently running in an IT environment.

· Finally, customers can improve business agility and increase customer satisfaction by providing the business level visibility needed to help assure services are performing at operational and contractual service levels.

CA Automation Suite for Data Centers 12.5

· Delivers the ultimate in enabling cloud choice. The integrated solution for automated data center management allows IT to respond to business needs, such as requirements for additional computing capacity on demand. This “cloud-bursting” capability allows customers to move workloads from private to public clouds as needed to meet demand and SLAs.

· Advances in CA Technologies rapid server imaging technology help prevent vendor lock-in. Customers can seamlessly move applications and workloads into, out of and across public cloud provider platforms from vendors such as Amazon Web Services, Rackspace and Terremark.

· Comprised of new releases of CA Server Automation, CA Virtual Automation, CA Configuration Automation and CA Process Automation, CA Automation Suite for Data Centers offers a comprehensive, step-wise approach to automation. It provides dynamic provisioning, configuration management, deployment and elastic scaling of IT services and infrastructure combined with policy-based server automation to maximize business service quality and availability.

CA AppLogic 3.0

· This turnkey cloud computing platform allows enterprises to design and deliver virtual business services across private and public clouds. With an intuitive visual interface, enterprises can define infrastructure, provision, deploy and manage applications, as well as monitor operations, using only a browser. With this release, customers can now run applications and services using VMware ESX and Xen hypervisors on the same grid, providing a new level of freedom and flexibility for delivering cloud services. In addition, customers can import workloads using the Open Virtualization Format (OVF), making smart use of existing virtualization investments.

· The new Global Fabric Controller adds detection and inventory functions to simplify installation and help reduce operating costs, and the role-based access control capabilities provide new options to enhance security. Enterprises running internal applications on the CA AppLogic cloud platform can easily move those applications to any of the global ecosystem of public cloud providers also using the CA AppLogic cloud platform.

CA Automation Suite for Clouds 1.0

· A new pre-integrated solution to deliver private cloud services. This out-of-the-box solution enables rapid, predictable and secure provisioning and delivers cloud infrastructure and critical services designed for hybrid environments.

· The pre-tested and extensible framework is designed for customers and partners to rapidly implement and accelerate time to value. It includes pre-designed workflows for automated, self-service delivery of virtual and physical infrastructure and application services, making it ideal for both foundational IaaS environments and easy extensibility to current and future automated cloud services. CA Automation Suite for Clouds is comprised of CA Server Automation, CA Virtual Automation, CA Process Automation, CA Configuration Automation and CA Service Catalog.

CA Virtual Placement Manager 1.0

· Helps enterprises design and deliver virtual infrastructure. It brings to market a revolutionary approach to capacity management by automatically solving for optimal workload assignment, predicting capacity needs, and addressing performance and response time risks while also right-sizing new and existing virtual machines. Users can perform these analyses with both existing and hypothetical infrastructure components.

· The placement and balancing solution, based on technology further developed from the Hyperformix acquisition, incorporates an infrastructure library and leverages performance and capacity utilization data from third party agents to support multi-vendor analysis. CA Virtual Placement Manager helps address problems of VM stall and sprawl by leveraging patented analytics to safely increase overall host to VM ratios.

Additional Enhanced Products

CA Virtual Assurance for Infrastructure Managers 12.5 to help assure application performance across virtual, cloud and traditional IT environments;

CA Identity Manager 12.5 and CA Role & Compliance Manager 12.5 to help secure and control identity and access across virtual, cloud and traditional IT environments;

CA Data Manager 4.3 for designing data center efficiency; and

CA Automation Suite for Cisco UCS 12.5 for delivering dynamic service and application automation across physical, virtual and cloud infrastructures.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

CA Introduces Ten New Cloud Solution Releases

CA Technologies is helping simplify “cloud choice” with new and updated products and solutions for enterprises and service providers.

CA Business Service Insight 8.0

· Developed to manage the service performance of both cloud-based and traditional services, CA Business Service Insight helps enterprises plan and assure cloud initiatives. By offering features to discover, compare and measure services and service levels, customers can make the best informed choices around service options.

· Customers can benchmark and compare internal and external services and their performance by using the Service Measurement Index hosted at Cloud Commons. In addition, Business Service Insight provides the ability to research different service options using social interaction. Valuable service opinion and comparison data can be collected by creating questionnaires to poll peers in the industry.

· Business Service Insight also helps customers reduce performance and security risk by providing the ability to discover the traditional and cloud services currently running in an IT environment.

· Finally, customers can improve business agility and increase customer satisfaction by providing the business level visibility needed to help assure services are performing at operational and contractual service levels.

CA Automation Suite for Data Centers 12.5

· Delivers the ultimate in enabling cloud choice. The integrated solution for automated data center management allows IT to respond to business needs, such as requirements for additional computing capacity on demand. This “cloud-bursting” capability allows customers to move workloads from private to public clouds as needed to meet demand and SLAs.

· Advances in CA Technologies rapid server imaging technology help prevent vendor lock-in. Customers can seamlessly move applications and workloads into, out of and across public cloud provider platforms from vendors such as Amazon Web Services, Rackspace and Terremark.

· Comprised of new releases of CA Server Automation, CA Virtual Automation, CA Configuration Automation and CA Process Automation, CA Automation Suite for Data Centers offers a comprehensive, step-wise approach to automation. It provides dynamic provisioning, configuration management, deployment and elastic scaling of IT services and infrastructure combined with policy-based server automation to maximize business service quality and availability.

CA AppLogic 3.0

· This turnkey cloud computing platform allows enterprises to design and deliver virtual business services across private and public clouds. With an intuitive visual interface, enterprises can define infrastructure, provision, deploy and manage applications, as well as monitor operations, using only a browser. With this release, customers can now run applications and services using VMware ESX and Xen hypervisors on the same grid, providing a new level of freedom and flexibility for delivering cloud services. In addition, customers can import workloads using the Open Virtualization Format (OVF), making smart use of existing virtualization investments.

· The new Global Fabric Controller adds detection and inventory functions to simplify installation and help reduce operating costs, and the role-based access control capabilities provide new options to enhance security. Enterprises running internal applications on the CA AppLogic cloud platform can easily move those applications to any of the global ecosystem of public cloud providers also using the CA AppLogic cloud platform.

CA Automation Suite for Clouds 1.0

· A new pre-integrated solution to deliver private cloud services. This out-of-the-box solution enables rapid, predictable and secure provisioning and delivers cloud infrastructure and critical services designed for hybrid environments.

· The pre-tested and extensible framework is designed for customers and partners to rapidly implement and accelerate time to value. It includes pre-designed workflows for automated, self-service delivery of virtual and physical infrastructure and application services, making it ideal for both foundational IaaS environments and easy extensibility to current and future automated cloud services. CA Automation Suite for Clouds is comprised of CA Server Automation, CA Virtual Automation, CA Process Automation, CA Configuration Automation and CA Service Catalog.

CA Virtual Placement Manager 1.0

· Helps enterprises design and deliver virtual infrastructure. It brings to market a revolutionary approach to capacity management by automatically solving for optimal workload assignment, predicting capacity needs, and addressing performance and response time risks while also right-sizing new and existing virtual machines. Users can perform these analyses with both existing and hypothetical infrastructure components.

· The placement and balancing solution, based on technology further developed from the Hyperformix acquisition, incorporates an infrastructure library and leverages performance and capacity utilization data from third party agents to support multi-vendor analysis. CA Virtual Placement Manager helps address problems of VM stall and sprawl by leveraging patented analytics to safely increase overall host to VM ratios.

Additional Enhanced Products

CA Virtual Assurance for Infrastructure Managers 12.5 to help assure application performance across virtual, cloud and traditional IT environments;

CA Identity Manager 12.5 and CA Role & Compliance Manager 12.5 to help secure and control identity and access across virtual, cloud and traditional IT environments;

CA Data Manager 4.3 for designing data center efficiency; and

CA Automation Suite for Cisco UCS 12.5 for delivering dynamic service and application automation across physical, virtual and cloud infrastructures.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...