Event-Driven Automation Software: Jobs That Start When Data Lands
Start jobs when a file lands, a job finishes, a variable changes, or an email arrives, instead of polling on a timer.
Event-driven automation starts a job when something happens instead of at a fixed time. JAMS Scheduler watches for files, completed or failed jobs, variable changes, and incoming email, then submits the job and resets to watch for the next occurrence.
The problem
The cost of polling on a timer
A job that checks for new data every hour can leave that data waiting for up to an hour, and a job that checks every minute wastes most of its runs. Either way, the schedule is guessing when the work is ready.
How it works
Event-based job scheduling in JAMS Scheduler
A trigger submits the job the moment its event happens, then resets to watch for the next one. Dependencies can still decide when the submitted job starts.
01
Trigger
A time, file, job, variable, or email submits the job
02
Dependencies
The entry waits until every precondition is met
03
Queue and Resources
Limits decide what runs now and what runs together
04
Agent
Runs on Windows, Linux, UNIX, IBM i, OpenVMS, or z/OS
05
Result and Events
History, alerts, and recovery jobs fire on the outcome
The trigger submits the job the moment its event happens. A dependency on the same job can still decide when it starts.
Capabilities
Triggers JAMS Scheduler watches for
See it before you talk to anyone
Click through JAMS Scheduler in a few minutes, no sign-up needed.
Customer results
Event-driven automation results from JAMS Scheduler customers
We have a whole chain of dependencies so that everything flows through JAMS.
Seminole Electric
4 sec
Shortest recurrence for jobs running 100 to 150 times an hour
Southwest Power Pool
Migrations
Moving from another scheduler
Free migration tool
Move your jobs to JAMS Scheduler without rebuilding them
JUMP (JAMS Universal Migration Platform) converts your existing job definitions into JAMS jobs. Start with a free Dry Run report that previews every converted job before anything moves.
The Cutover video series
Watch a real migration, start to finish
Control-M to JAMS Scheduler
Start to finish, on YouTube
Tidal to JAMS Scheduler
Start to finish, on YouTube
ActiveBatch to JAMS Scheduler
Start to finish, on YouTube
Fit
Where JAMS Scheduler fits
A strong fit when
Data that arrives at unpredictable times. Processes that should start the moment an upstream job finishes. Teams replacing polling jobs that check every few minutes.
Related use cases
Job scheduling
Every server's jobs in one console
Batch processing
Nightly and period-end runs on time
Workload automation
Flows that span many systems
PowerShell automation
Scripts with credentials, logs, alerts
Data pipeline orchestration
SSIS, ADF, and Python in one flow
Managed file transfer
SFTP, FTPS, and S3 as scheduled jobs
