Temporal WorkFlow Training

Live Online & Classroom Enterprise Training

Temporal Workflow lets developers write workflows as regular code (in languages like Go, Java, TypeScript, Python), while the Temporal server ensures they run reliably, even across failures or restarts.

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What is Temporal WorkFlow Training about?

This course provides a practical foundation in designing, implementing, and managing long-running workflows using Temporal. Learners will explore core concepts such as Activities, Workers, Task Queues, State Management, and Workflow Reliability. Through hands-on exercises and real-world examples, the training helps participants build robust microservices that can gracefully handle failures, retries, and complex business processes across distributed systems.

What are the objectives of Temporal WorkFlow Training ?

Understand Temporal architecture, components, and workflow execution model.
Design and implement durable workflows and Activities.
Build Workers, Task Queues, and integrate Temporal into microservices.
Handle retries, errors, timeouts, and workflow state management.
Deploy, monitor, and scale Temporal applications in production environments.

Who is Temporal WorkFlow Training for?

Software developers working with distributed applications.
DevOps engineers managing workflow orchestration systems.
Solution architects designing fault-tolerant enterprise systems.
Backend engineers building microservices with long-running processes.
Technical teams adopting Temporal for workflow modernization.

What are the prerequisites for Temporal WorkFlow Training?

Prerequisites:

Basic understanding of microservices and distributed systems.
Familiarity with programming languages like Java, Go, or TypeScript.
Knowledge of APIs and service-to-service communication.
Understanding of cloud deployment and CI/CD concepts.
Experience with workflow or orchestration tools (optional but helpful).

Learning Path:

Introduction to Temporal Concepts and Architecture.
Building Workflows & Activities using preferred programming SDK.
Developing and Deploying Workers & Task Queues.
Error handling, retries, and workflow versioning best practices.
Monitoring, debugging, and scaling Temporal in production environments.

Related Courses:

Workflow Orchestration with Apache Airflow.
Microservices Architecture & Design Patterns.
Kubernetes for Application Deployment & Scaling.
Event-Driven Architecture with Kafka.

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Temporal

What is Temporal and why use it?

Workflow orchestration vs choreography

Key components: Workers, Activities, Workflows, Task Queues

Temporal platform architecture

Module 2: Temporal Core Concepts

Deterministic workflows

Workflow state, history, and event sourcing

Activities and retry logic

Idempotency and execution guarantees

Module 3: Temporal SDKs and Development Setup

Overview of SDKs (Java, Go, TypeScript, Python)

Setting up Temporal server locally

Building your first workflow and activity

Running workers and testing workflows

Module 4: Advanced Workflow Features

Signals and Queries

Child workflows and workflow chaining

Timers, schedules, and cron workflows

Versioning and long-term workflow evolution

Module 5: Error Handling & Reliability Patterns

Automatic retries and backoff policies

Handling activity failures

Ensuring workflow consistency

Designing fault-tolerant distributed processes

Module 6: Temporal Web UI & Monitoring

Navigating workflow history

Tracking state, errors, and activity execution

Workflow debugging techniques

Observability and logging best practices

Module 7: Integrations & Microservices Architecture

Integrating Temporal with REST APIs, message brokers, and databases

Using Temporal in event-driven systems

Orchestrating microservices with Temporal

Module 8: Deployment & Production Best Practices

Running Temporal on Docker / Kubernetes

Scaling workers and clusters

Security considerations

Production-level performance guidelines

Who is the instructor for this training?

The trainer for this Temporal WorkFlow Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

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