description Temporal Overview
Temporal is a workflow orchestration platform that ensures your code executes reliably. It provides a durable execution environment where workflows can run for seconds, days, or even months.
By persisting the state of every step, Temporal guarantees that if a worker fails, another can pick up exactly where the previous one left off. It is highly recommended for complex business logic involving multiple steps and external API calls.
help Temporal FAQ
What happens in Temporal if a worker crashes mid-workflow?
Temporal stores workflow state in an event history, so another worker can resume from the last recorded step instead of starting from scratch. That durable execution model is the core difference between Temporal and a simple background job queue.
Is Temporal closer to Airflow, Celery, or Kubernetes CronJobs?
Temporal overlaps with job queues and schedulers, but it is built for long-running code workflows that can survive retries, crashes, and time gaps. Airflow is usually used for data pipelines, while Celery and CronJobs are more basic task execution tools.
Which programming languages can use Temporal?
Temporal has official SDKs for languages including Go, Java, TypeScript, Python, and PHP. Teams usually write workflows and activities in normal application code rather than in a separate DSL.
Can Temporal workflows run for months?
Yes, Temporal is designed for workflows that can run from seconds to months because timers and state are persisted outside the worker process. A common example is an order, subscription, or onboarding flow that waits days between steps.
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