CA Technologies Releases CA Workload Automation 11.3
Enabling Dynamic Service and Application Automation Across Physical, Virtual and Cloud Infrastructures
April 06, 2011
Share this

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.”

Share this

The Latest

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...