CA Technologies today announced the general availability of CA Workload Automation 11.3, which provides the ability to initiate, monitor and manage workloads in private, public and hybrid clouds for increased agility and better business outcomes.
Supporting an expanded breadth of applications and events, this new version of CA Workload Automation also enables workload cloud bursting and dynamic workload placement that was first demonstrated at VMworld Europe last October.
“Organizations understand that it’s cost-prohibitive to maintain dedicated infrastructure to support peak demands in workload processing. As a result, many of the world’s largest enterprises use CA Workload Automation to process millions of business transactions daily to more cost-effectively run their businesses,” said Roger Pilc, general manager, Virtualization and Automation, CA Technologies. “The new capabilities in this version provide the increased agility customers need to keep up with their ever-growing business demands, and to process more workloads reliably and cost-effectively on all platforms and in all types of environments.”
Key capabilities in CA Workload Automation 11.3 include:
• Support for new applications: CA Workload Automation’s deep integration into the application stack allow for the detection of business events that trigger workloads. Specific enhancements have been added that extend support for managing workloads for web services, J2EE, relational databases, and other components. This deeper integration reduces the need for customers to use costly scripts and other custom integration methods.
• Dynamic workload placement: CA Workload Automation enables customers to quickly move and process workloads in different cloud environments when demand for processing spikes. This makes it possible through dynamic workload placement, enabling customers to quickly provision and process workloads from a physical infrastructure to a virtualized private cloud or to a public cloud such as Amazon EC2.
• Self-service for workload management: CA Workload Automation extends its self-service interface and gives end-users the ability to request and execute workload processing controlled by workload policy and governance processes. End-users no longer need to depend on administrators to make changes as they are now empowered to manage their own workload processing. This helps provide higher levels of efficiency and control, while giving the business more control over their own services.
• Release management for workload automation: CA Workload Automation now automates the process of moving workloads from test and development environments into production. This is done using a policy-driven approach that includes automatic migration of complex configurations from development to production. A large financial institution was able to reduce this process from two weeks to just 20 minutes using the new version of the product.
CA Workload Automation 11.3 reinforces CA Technologies broad application management capabilities, which include configuration management, capacity management, discovery and dependency mapping, performance management, and self-service and administrator provisioning. This growing set of solutions helps customers optimally match dynamic applications and their workloads to increasingly dynamic and virtualized IT infrastructure in a ‘just-in-time’ manner.
“This release of CA Workload Automation adds important new capabilities for customers looking to process a broader set of workloads, and to do so in the cloud,” said Tim Grieser, program vice president, Enterprise System Management Software, IDC. “Dynamic workload management will help customers utilize public, private and hybrid cloud resources to optimize service delivery.”
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...