Complex application workflows? Problem solved.
- Streamline the orchestration of business applications—delivering better apps faster—by embedding workflow orchestration into your CI/CD pipeline
- Extend Dev and Ops collaboration with a Jobs-as-Code approach
- Simplify workflows across hybrid and multi-cloud environments with native AWS and Azure integrations
- Deliver data-driven outcomes faster, managing big data workflows in a scalable way
- Take control of your file transfer operations with intelligent file movement and enhanced visibility
Get end-to-end workflow orchestration across hybrid and multi-cloud environments
Application Workflow Orchestration
Workflow orchestration meets operational standards
Control-M provides advanced operational capabilities easily consumed by Dev, Ops and lines of business.
- Advanced workflow orchestration capabilities and connectivity to any application, any data source, and all your critical systems of record, from mainframe to cloud
- Proactive SLA management with intelligent predictive analytics
- Robust support for audits, compliance, and governance
- Proven stability with thousands of companies scaling from tens to millions of jobs with zero downtime
DevOps
Workflow orchestration, embedded in your DevOps toolchain
DevOps teams require solutions that support both processes and people to successfully develop and deliver applications and services faster with high quality.
- With Control-M Automation API, developers can define, test, and debug scripts earlier in the software development lifecycle
- Leverage Jobs-as-Code to shift-left job scheduling to speed time to delivery and increase application quality
- Speed development with APIs and CLIs exposing a rich set of functions to automate workflows across the entire application lifecycle
- Easily embed workflow orchestration, written in JSON, into automated CI/CD pipelines that include your favorite tools like Jenkins, GIT and others
Big Data
Make your data work for you
Control-M for Big Data simplifies the creation, integration and automation of data pipelines across on-premises and cloud technologies.
- Easily ingest and process data from platforms like Hadoop, Spark, EMR, Snowflake, and RedShift
- Quickly create jobs, collaborate on workflows, and schedule and manage business services
- Accelerate time to market since you no longer need to build manual scripts for common tasks
- Ensure delivery of critical data files as part of your data pipeline, from a single interface
File transfers
Control-M Managed File Transfer lets you manage file transfers and related workflows holistically, which helps you deliver better services, faster.
- Centralize and automate file transfers and simplify scheduling
- Easily move files to and from AWS S3 buckets
- Align file transfers with business process flows
- Provide instant visibility into the status of file transfers with an operational dashboard and powerful file transfer search capabilities
- Application Workflow Orchestration
- DevOps
- Big Data
- File transfers
Application Workflow Orchestration
Workflow orchestration meets operational standards
Control-M provides advanced operational capabilities easily consumed by Dev, Ops and lines of business.
- Advanced workflow orchestration capabilities and connectivity to any application, any data source, and all your critical systems of record, from mainframe to cloud
- Proactive SLA management with intelligent predictive analytics
- Robust support for audits, compliance, and governance
- Proven stability with thousands of companies scaling from tens to millions of jobs with zero downtime
DevOps
Workflow orchestration, embedded in your DevOps toolchain
DevOps teams require solutions that support both processes and people to successfully develop and deliver applications and services faster with high quality.
- With Control-M Automation API, developers can define, test, and debug scripts earlier in the software development lifecycle
- Leverage Jobs-as-Code to shift-left job scheduling to speed time to delivery and increase application quality
- Speed development with APIs and CLIs exposing a rich set of functions to automate workflows across the entire application lifecycle
- Easily embed workflow orchestration, written in JSON, into automated CI/CD pipelines that include your favorite tools like Jenkins, GIT and others
Big Data
Make your data work for you
Control-M for Big Data simplifies the creation, integration and automation of data pipelines across on-premises and cloud technologies.
- Easily ingest and process data from platforms like Hadoop, Spark, EMR, Snowflake, and RedShift
- Quickly create jobs, collaborate on workflows, and schedule and manage business services
- Accelerate time to market since you no longer need to build manual scripts for common tasks
- Ensure delivery of critical data files as part of your data pipeline, from a single interface
File transfers
Control-M Managed File Transfer lets you manage file transfers and related workflows holistically, which helps you deliver better services, faster.
- Centralize and automate file transfers and simplify scheduling
- Easily move files to and from AWS S3 buckets
- Align file transfers with business process flows
- Provide instant visibility into the status of file transfers with an operational dashboard and powerful file transfer search capabilities