Enterprise Workload Automation Software
JAMS Scheduler runs and monitors workloads across Windows, Linux, and cloud environments from one console, with SAP, JD Edwards, and Azure Data Factory jobs in the same schedule. Jobs follow dependencies across platforms, failures alert the right people, and every run is logged.
What Is Workload Automation?
Workload automation is software that schedules, runs, and monitors jobs across servers, applications, and clouds from one place. It replaces separate schedulers like cron, SQL Server Agent, and Windows Task Scheduler with one system that handles dependencies, retries, alerts, and run history. Here’s how workload automation differs from job scheduling.
JAMS Scheduler does this for hybrid environments: one schedule for on-premises servers, AWS, and Azure, with consistent naming, versioning, and access controls across all of it.
Design Automated Workflows
Designing an automated workflow in JAMS starts with a few key decisions about structure, dependencies, and error handling. This tutorial walks through the workflow design process so your automation is built to be reliable, visible, and maintainable from day one.
Plan and structure a multi-step automated workflow
Configure job dependencies and execution order
Set up error handling and conditional branching
Review your workflow in the visual job diagram
Deploy JAMS Workload Automation
Here is a practical sequence for implementing JAMS as your workload automation solution.
Initial Setup
Initial Setup
Review these steps for how to set it up:
Install the scheduler: Choose your deployment model — on-premise or in the cloud, on AWS, or on Azure, and follow the installation guide to configure the JAMS database, web client, and thick client.
Plan topology and access: Set up folders, roles, and permissions. Establish naming conventions, parameters, and calendars to maintain consistent definitions and ensure clarity. Also, configure the credential vault to remove hardcoded secrets.
Deploy agents: Install JAMS agents on Windows and Linux hosts that run your jobs and define queues and resources.
Create or Move a Job Into JAMS
Create or Move a Job Into JAMS
Create or move jobs into JAMS as needed, implementing automation one process at a time:
Configure integrations: Connect built-in integrations, including SAP, SQL databases, Azure Data Factory, PowerShell, and Python. Test connections and capture return codes and logs.
Define jobs: Create job definitions with timeouts, exit code handling, retries, and notifications. Externalize variables and credentials to simplify promotion across environments.
Orchestrate workflows: Build multistep sequences with dependency checking and conditional logic. Add event triggers for files, emails, or API calls so jobs start from real system signals.
Add monitoring and SLA guards: Use centralized monitoring and the diagram view to see workflow state and upstream dependencies. You can configure alerts and diagnostics to surface jobs that may impact SLAs.
Migrate existing schedules: Use the conversion utility to import schedules, exceptions, credentials, and job sources from popular scheduling tools. Review flagged edge cases, such as complex dependencies, and address them with migration services if needed.
Test and Promote
Test and Promote
Run sample workloads in a non-production folder. Inject failures, validate retries and notifications, review run history, and audit entries. Promote to production using consistent names, parameters, and calendars.
Manage Promotion Jobs
Manage Promotion Jobs
To manage promotion jobs:
Tune and promote: Use diagnostics to optimize performance and adjust queues and resource limits. Standardize calendars and maintenance windows to stabilize throughput and reduce noise.
Extend with APIs and MFT: Automate programmatically through the REST API and .NET API. Use the managed file transfer client for reliable file movement within workflows.
Maintain Consistency Throughout the Process
Maintain Consistency Throughout the Process
Reference full documentation and Help Videos for task-by-task guidance. Enroll in JAMS University for training and best practices. Access 24/7 support or professional services when you want expert help.
Why IT Teams Choose JAMS Scheduler for Workload Automation
You want a partner who helps you standardize orchestration, reduce noise in production, and maintain SLAs. Here is how JAMS workload automation tools support that goal:
Trusted by Enterprises: Leading companies, such as Coca-Cola Canada and Teradata, rely on JAMS for end-to-end workload automation. Public reviews on G2, PeerSpot, and TrustRadius reflect real-world outcomes and day-two operations.
Real humans on three continents. Support lives in the United States, the United Kingdom, and Australia. We will never outsource this team.
Enablement That Accelerates Adoption: JAMS University teaches you how to orchestrate workload automation across multiple platforms and applications. Help Videos make it easier to teach your standards, reinforce naming and calendar conventions, and onboard new operators.
Straightforward, Scalable Pricing: Simple pricing and unlimited executions help you expand automation without reworking contracts or constraining workloads.
Centralize Workload Automation Across Windows, Linux, and Cloud
Consolidate Windows, Linux, and cloud workloads under a single scheduler and user interface. Standardize names, parameters, and calendars so jobs behave consistently across environments. Scale with unlimited executions and deploy on AWS or Azure without changing how you operate.
JAMS Variables and Parameters
Variables and parameters are what turn static JAMS jobs into dynamic, reusable automation. This tutorial covers how to define, pass, and reference them so you can build jobs that adapt at runtime without manual edits.
Unlock Job Adaptability
Customize batch jobs dynamically with powerful parameters.
Leverage variables for intelligent, conditional processing.
Maximize job reusability and minimize setup time.
Streamline Your Workflows
Automate complex sequences by passing precise inputs to jobs.
Reduce manual intervention and human error in your operations.
Ensure consistent and reliable execution of every batch task.
Gain Operational Insight
Understand how JAMS utilizes variables for responsive task management.
Track and manage job configurations with ease.
Achieve greater control and transparency over your batch environment.
