Job Concurrency Limit
The maximum number of workflow runs allowed in parallel to protect downstream systems or licenses.
A job concurrency limit caps how many workflow instances run at once. It prevents overwhelming downstream systems, hitting rate limits, or exhausting licenses.
Operations teams set concurrency for email sends, CRM updates, ETL jobs, and AI inference to keep throughput steady without breaking dependencies.
It fits into orchestration and queueing layers: runs queue when the limit is reached, then drain as capacity frees up. The impact is stability and predictable performance during spikes.
Frequently Asked Questions
How do I choose a concurrency limit?
Assess downstream capacity, rate limits, and SLA targets. Start conservative, then raise based on monitoring.
What happens when the limit is reached?
New jobs queue until slots free up. Ensure queues have retention and visibility so work is not lost.
How do concurrency limits interact with retries?
Retries also consume slots. Stagger retries with backoff to avoid bursts that exceed limits.
Should limits differ by job type?
Yes—set lower limits for heavy or high-risk jobs, higher for lightweight tasks. Isolate critical paths with dedicated limits.
How do I monitor concurrency?
Track active jobs, queue depth, wait times, and downstream error rates. Alert when saturation or timeouts rise.
Can limits be dynamic?
Yes—adjust based on time of day, downstream health, or priority queues. Automate adjustments with guardrails.
What tools enforce concurrency?
Orchestrators, job queues, and worker pools. Use locks or semaphores for shared resources.
How do I test new limits?
Run load tests in staging, simulate spikes, and observe downstream behavior. Roll out gradually with monitoring.
Can concurrency limits hurt SLAs?
They can increase wait time but protect reliability. Balance limits with capacity and add more workers if delays breach SLAs.
Agentic AI
An AI approach where models autonomously plan next steps, choose tools, and iterate toward an objective within guardrails.
Agentic Workflow
A sequence where an AI agent plans, executes tool calls, evaluates results, and loops until success criteria are met.
Agent Handoff
A pattern where one AI agent passes context and state to another specialized agent to keep multi-step automation modular.
Ship glossary-backed automations
Bring your terms into GrowthAX delivery—map them to owners, SLAs, and instrumentation so your automations launch with shared language.
Plan Your First 90 Days