Temporal SDKs are open-source tools enabling scalable and reliable application development. They feature APIs for Workflow and Activity execution, automatic retries, and resilience mechanisms, making it easier to build fault-tolerant applications.
Learn how to define a Temporal Activity; Activity Types, parameters, constraints, idempotency, and retry behavior for the function your Worker runs.
Learn how to start an Activity as a durable Activity Execution with built-in retries, timeouts, and failure handling.
Enable Worker Versioning on your Workers with UseVersioning, Deployment Version, and default Versioning Behavior.
How the Temporal Client, Server, and Worker interact during a Workflow and Activity lifecycle, with a step-by-step walkthrough and interactive demo.
Learn about Local Activities that run in the same Worker process as the Workflow that schedules it, trading full durability for lower latency and a smaller Event History.
Implement Worker Versioning without the Temporal Worker Controller by deploying backward-compatible versioned Workers alongside existing ones and gradually shifting traffic before full migration.
Build a multi-step business process that pauses when it hits a permanent failure, then resumes from where it stopped without restarting.
Roll back, identify, and recover pinned Workflows affected by a faulty Worker Deployment Version using Versioning Override and Reset-with-Move.
Roll out Worker Deployment Versions with the CLI, mark Workflow Types as Pinned, move pinned Workflows, and migrate to Auto-Upgrade.
Learn about durable job processing with Standalone Activities that run independently from a Workflow.
A Client can start a single Nexus Operation directly, without a caller Workflow, using the same Service and Worker setup.
Drain and sunset old Worker Deployment Versions, then garbage-collect unused versions.
A comprehensive guide to Temporal's architecture, covering how the platform orchestrates durable Workflow Executions through its Frontend, backend services, and Worker coordination.
Prepare a self-hosted Temporal Service for production with guidance on scaling, metrics, load testing, and Workflow versioning.
Use Temporal's provided Kubernetes controller to programmatically scale your Worker deployments.
Programmatically scale and deploy your Temporal Workers into common production environments using our provided tooling and best practices.
Upgrade pinned Workflows to a new Worker Deployment Version by Continue-as-New when a Target Version becomes available.
Learn how Temporal turns a plain function you write into a Temporal Activity and durably executes it as a Workflow step or background job.
Temporal is a scalable platform that ensures the Durable Execution of application code, allowing reliable and resilient Workflow Executions even in the face of failures like network outages or server crashes.
Temporal enhances Workflow reliability, productivity, and state visibility for developers by offering Durable Execution, simplified code structures, and robust monitoring tools.
Use Worker Versioning to pin Workflow revisions to individual Worker Deployment Versions, avoiding the need for patching to support multiple code paths.
Learn about Activities started as a step in a Workflow, scoped to that Workflow's lifetime and recorded in Workflow Event History.