BMC Control-M Workload Archiving - license - 1 CPU
$19.99
Mfg # LAFBL.0.0.00
CDW # 5917555
Know your gear
Control-M simplifies workflow orchestration, making it easy to define, schedule, manage and monitor application and data workflows, ensuring visibility and reliability, and improving SLAs.
Control-M integrates, automates, and orchestrates workflows on-premises, and in public and private clouds, so your jobs and business services are delivered on time, every time. With a single unified view, you can orchestrate all your workflows, including file transfers, applications, data sources and infrastructure with a rich library of plug-ins. Easily provisioned in any cloud, Control-M leverages the ephemeral capabilities of cloud compute services.
Using a Jobs-as-Code approach with REST APIs and JSON, within the CI/CD toolchain, workflows become version able, testable and maintainable, so developers and DevOps engineers can work collaboratively. With Control-M Workbench, a no-fee, personal sandbox, developers can unit-test their workflows before committing to a code repository.
Control-M simplifies the creation, integration and automation of data pipelines across on-premises and cloud technologies, allowing you to ingest and process data from platforms including Hadoop, Spark, Amazon EMR, Snowflake, Amazon Redshift and others. Because most data moves as a file transfer, Control-M provides a single interface to create, monitor and ensure delivery of files as part of your data pipeline.
Control-M integrates, automates, and orchestrates workflows on-premises, and in public and private clouds, so your jobs and business services are delivered on time, every time. With a single unified view, you can orchestrate all your workflows, including file transfers, applications, data sources and infrastructure with a rich library of plug-ins. Easily provisioned in any cloud, Control-M leverages the ephemeral capabilities of cloud compute services.
Using a Jobs-as-Code approach with REST APIs and JSON, within the CI/CD toolchain, workflows become version able, testable and maintainable, so developers and DevOps engineers can work collaboratively. With Control-M Workbench, a no-fee, personal sandbox, developers can unit-test their workflows before committing to a code repository.
Control-M simplifies the creation, integration and automation of data pipelines across on-premises and cloud technologies, allowing you to ingest and process data from platforms including Hadoop, Spark, Amazon EMR, Snowflake, Amazon Redshift and others. Because most data moves as a file transfer, Control-M provides a single interface to create, monitor and ensure delivery of files as part of your data pipeline.