Jett – Your new, Generative Artificial Intelligence (GenAI) Advisor

Jett delivers instant knowledge of Control-M SaaS workflow details, accelerating common scenarios like troubleshooting and audit verification, while unlocking new possibilities such as workflow optimization and anomaly detection. Users can ask questions in their own words and language and receive answers that anyone can understand.

• Simplify exploration - Easily find workflow details without needing specialized technical knowledge.
• Solve problems quickly – Rapidly identify key workflow aspects, including failures, user actions, past executions, and recent changes.
• Streamline compliance – Effortlessly sift through extensive workflow data to ensure audit requirements are met.
• Enhance efficiency – Analyze workflows that show repeated problems or unusual durations.

• Take a tour of Jett Jett Datasheet

Control-M Workflow Insights

• Application and data workflow observability: Increased confidence that SLAs are being met for Control-M users and IT leaders
• Comprehensive control and management capabilities: Enhanced dashboards and reporting with constant telemetry and intelligent analysis on executing workflows
• Self-service visibility: In-depth reporting to help teams work autonomously

• Datenblatt: Control-M Workflow Insights

Simplify and scale data pipelines

• Get a 360-degree view of data pipelines at every stage—from ingestion, to processing, to analytics
• Ingest and process data from Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) cloud services, and data technologies like Airflow, Spark, EMR, Snowflake, and RedShift
• Resolve SLA issues before they become critical

• Datenblatt: End-to-end orchestration of data pipelines Blog: How to Orchestrate a Data Pipeline on AWS

Simplify application workflow orchestration across cloud environments

• End-to-end orchestration of complex workflows across hybrid clouds environments
• Instant provisioning on any machine, any time—including AWS and Azure
• Out-of-the-box support and integrations for cloud services like AWS Lambda, Step Functions, and Batch; Azure Logic Apps, Functions, and Batch AWS Glue; Azure Data Factory; AWS Databricks; Azure Databricks; Azure Functions; Boomi; GCP Dataflow; GCP Cloud Functions; GCP Dataproc; Informatica Cloud; Power BI; UI Path; and others
• Leverage the flexibility and scalability of cloud ecosystems
• End-to-end orchestration across hybrid and cloud environment

• Datenblatt: Control-M Multi-Cloud Orchestration

Application workflow orchestration embedded in your DevOps toolchain

• Take a Jobs-as-Code approach with REST APIs and JSON to accelerate app build, test, and validation times
• Extend Dev and Ops collaboration
• Cut costs and improve quality by finding defects and bugs earlier in the software development lifecycle

• Datenblatt: Control-M Automation API

Consider your file transfers delivered

• Intelligently move internal and external file transfers from a central interface
• Improve visibility and control by integrating file transfers with related application workflows
• Securely move files to and from AWS, Azure, GCP, Oracle storage, and Microsoft SharePoint online platform
• Time is money—cut time between file transfers and next processing steps

• Datenblatt: Control-M Managed File Transfer

Orchestrate workflows anytime, from anywhere

• Make it easy to deliver secure access for differing roles across the organization with Control-M’s robust web interface
• Stay connected on your iOS or Android mobile devices wherever you go
• Focus on work, not training—tackle complex challenges with ease from an intuitive interface
• Rest easy—ensure compliance with automatically enforced security policies
• Be up and running in minutes with easy installation

• E-book: Simplify Self-Service Application and Data Workflow Orchestration for Your Business

Deliver critical business services on time, every time

• See what matters most with a clear graphical view of jobs as services
• Solve problems and stay in the know with automated alerts and predictive SLA delay detection
• Know what’s next with extensive simulation capabilities that help you prevent conflicts and save time

• Datenblatt: Control-M SLA Management

Easily integrate any application workload

• Innovate faster by controlling when applications get integrated
• Improve critical app services by designing job types for your service needs
• Realize return on investment (ROI) by leveraging crowd-sourced job types from a community of experts

• Datenblatt: Control-M Application Integrator

What you don’t know can hurt you

• Identify and resolve issues faster with historical data
• Simplify audits and ensure compliance with easy-to-navigate historical records
• Deliver the right troubleshooting information quickly with flexible search capabilities

• Datenblatt: Control-M Workload Archiving

Simplify and automate business application delivery

• Get better insight and control over creating application and data workflows and improved service delivery
• Increase business agility with a scalable solution that accelerates change requests by up to 80 percent
• Improve application quality with automated enforcement of site standards
• Create drag-and-drop workflows that eliminate the need for manual scripting

• Datenblatt: Control-M Workload Change Manager

A single-source workload automation solution for your mainframe

• Manage increasingly large and complex data center workloads
• Improve productivity with an enterprise view of your mainframe
• Reduce manual intervention and risk with change impact forecasts
• Enhance service levels and optimize workloads with predictive analytics

Discover and convert third-party schedulers automatically

• Reduce errors that could occur during manual conversions
• Cut costs by decreasing conversion times
• Simplify conversion with automation

• The Real Cost of Not Having a Single Application Workflow Orchestration Platform