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BMC Introduces Control-M 9 for Digital Enterprise Automation Performance

BMC announced Control-M 9, the latest version of its industry leading workload automation solution, which accelerates application time-to-value while simultaneously delivering stability, lowering operating costs, and increasing enterprise application services performance.

BMC’s Control-M 9 is a part of BMC’s Digital Enterprise Management strategy designed to make digital business fast and seamless and optimize every environment from mainframe to mobile to cloud.

High-speed IT innovation requires companies to deliver continuous application availability while simultaneously maintaining stability, control, and enterprise application services performance. The Control-M 9 solution enables competitive advantage by providing both IT operations and application developers with a new way to collaborate by automatically promoting application workflows across the stages of development through production with built-in stability and production performance.

“Control-M 9 is a game changer for companies that must deliver high-speed IT digital innovation,” said Gur Steif, President, BMC Workload Automation. “Our new automated application promotion gives the Ops and AppDev teams a friction-free way to meet their simultaneous need for speed and stability. With a host of other innovations that reduce total cost of ownership and improve business value, Control-M 9 delivers better bottom line business results.”

The Control-M 9 solution continues to improve workload automation services’ performance, usability, and cost reduction. New capabilities include risk-reducing high availability, out-of-the-box single view predictive analytics across the enterprise, automated agent and client deployment for faster upgrades, and maintenance, and improved data security. The solution also provides native interface capability to any application with Application Integrator, open platform support for JDBC-compliant databases, and a native interface for Apache Spark, complementing the Control-M solution’s leading position in native Big Data application integration support.

“Control-M 9 offers BMC’s customers an important set of enhanced automation capabilities that enable both IT operations and application developer teams to simplify and streamline complex business process workflows and data transformations,” said Mary Johnston Turner, Research VP for Enterprise Systems Management at IDC. “Control-M 9 is a vital part of BMC’s broader Digital Enterprise Management portfolio. By enabling customers to reduce operational complexity and cost-effectively link traditional compute platforms with emerging cloud and mobile applications, Control-M 9 will help many organizations execute their digital business strategies while continuing to maximize the value of existing applications and infrastructure.”

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BMC Introduces Control-M 9 for Digital Enterprise Automation Performance

BMC announced Control-M 9, the latest version of its industry leading workload automation solution, which accelerates application time-to-value while simultaneously delivering stability, lowering operating costs, and increasing enterprise application services performance.

BMC’s Control-M 9 is a part of BMC’s Digital Enterprise Management strategy designed to make digital business fast and seamless and optimize every environment from mainframe to mobile to cloud.

High-speed IT innovation requires companies to deliver continuous application availability while simultaneously maintaining stability, control, and enterprise application services performance. The Control-M 9 solution enables competitive advantage by providing both IT operations and application developers with a new way to collaborate by automatically promoting application workflows across the stages of development through production with built-in stability and production performance.

“Control-M 9 is a game changer for companies that must deliver high-speed IT digital innovation,” said Gur Steif, President, BMC Workload Automation. “Our new automated application promotion gives the Ops and AppDev teams a friction-free way to meet their simultaneous need for speed and stability. With a host of other innovations that reduce total cost of ownership and improve business value, Control-M 9 delivers better bottom line business results.”

The Control-M 9 solution continues to improve workload automation services’ performance, usability, and cost reduction. New capabilities include risk-reducing high availability, out-of-the-box single view predictive analytics across the enterprise, automated agent and client deployment for faster upgrades, and maintenance, and improved data security. The solution also provides native interface capability to any application with Application Integrator, open platform support for JDBC-compliant databases, and a native interface for Apache Spark, complementing the Control-M solution’s leading position in native Big Data application integration support.

“Control-M 9 offers BMC’s customers an important set of enhanced automation capabilities that enable both IT operations and application developer teams to simplify and streamline complex business process workflows and data transformations,” said Mary Johnston Turner, Research VP for Enterprise Systems Management at IDC. “Control-M 9 is a vital part of BMC’s broader Digital Enterprise Management portfolio. By enabling customers to reduce operational complexity and cost-effectively link traditional compute platforms with emerging cloud and mobile applications, Control-M 9 will help many organizations execute their digital business strategies while continuing to maximize the value of existing applications and infrastructure.”

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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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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