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  1. Guide
  2. Automate Multi-Step File Transfers in a Single Workflow

Automate Multi-Step File Transfers in a Single Workflow

Build multi-step file workflows with triggers, chained operations, parallel deployment, branching, result processing, and run tracking.

IT EngineersDevelopers
  • Automating the End-to-End Workflow for AI Training Data and Model Files
  • Deploy AI Model Files to Multiple Edge Devices
  • Securely Importing and Exporting Files in Air-Gapped and Network-Segmented Environments
  • Simultaneously Distributing Approved Files to Multiple Locations
  • Transfer Files from Azure Blob to an On-Premises Server
  • Automatically Transferring DB Dumps, Backup, and Archive Files to Remote Storage
  • Centrally Collecting Files from Branches, Factories, and Edge Devices
  • Deploy CI/CD Build Artifacts to Multiple Servers
  • Move Files Between Different Cloud Storage Services
  • Transfer Files Between S3 Buckets in Different AWS Accounts
  • Provide Customer-Specific File Workspaces
  • Provide Customers with Large-File Download Links That Expire
  • Let Customers Upload Large Files Through a Browser
  • Send Large Files Directly to a Customer Workspace
  • Store Database Backup Files in Object Storage
  • Receive File Transfer Failure and Recovery Alerts in Datadog
  • Add File Transfer Capabilities to Web, App, and Business Systems
  • Run Validation, Conversion, and Follow-Up Tasks After File Arrival
  • Migrate Large Volumes of Files from NAS and File Servers to the Cloud
  • Convert FTP Batch Jobs to Managed File Flows
  • Transfer Directly from Google Cloud Storage to Amazon S3
  • Create a File Transfer Status Dashboard in Grafana
  • Automatically Verify File Integrity Using Hash Values
  • Automatically Transfer New Files to a Designated Destination
  • Send Result Files from Kubernetes to Object Storage
  • Automatically Transfer Large Files and Build Artifacts Outside Git
  • Automatically Deliver Files That Are Difficult to Manage with Git
  • Collect Logs and Diagnostic Files from Distributed Servers into a Central Location
  • Automatically Transfer Media Sources and Processing Results Step by Step
  • Scan Received Files with Microsoft Defender and Perform Follow-up Processing
  • Automate Multi-Step File Transfers in a Single Workflow
  • Automatically Transfer Media Sources and Processing Results Step by Step
  • Automatically Route Partner Files to Internal Business Systems
  • Exchange Files Regularly with Partners and Supply Chain Systems
  • Automating Recurring File Transfers Daily and Weekly
  • Automatically Resume File Transfers After a Network Interruption
  • Convert rsync Jobs to Managed File Flows
  • Schedule Recurring File Transfers
  • Distribute Software and Firmware to Multiple Devices and Review Results
  • Distributing Software Packages to Multiple Servers and Branches
  • Automatically Apply Team Folder Changes Across Multiple Devices
  • Automatically Reflect a Team Work Folder Across Multiple PCs
  • Find and Transfer Files Across Multiple Devices from One Place
  • Add Large File Upload and Download to Your Website

Getting Started#

Basic Concept#

Connect transfers, processing, and conditional branches into one file-processing workflow

File processing often involves more than a single transfer. You may need to transfer files to another system, run a processing program, distribute the results to multiple locations, or run different tasks depending on the processing outcome.

For example, you can transfer source files to a processing server, run a conversion job, and then distribute the generated results to multiple servers and storage systems at the same time.

If each task runs independently, you may need to manage which task should start after the previous one completes, whether multiple tasks should run in parallel, and which path the workflow should follow based on processing results.

With INNORIX Flow, file-transfer and processing tasks that previously ran independently can be connected into one execution flow built around the overall file-processing objective.

Each stage can run sequentially based on the completion result of the previous stage, branch to multiple targets in parallel, or continue along different paths based on conditions.

                   Start
                     │
                     ▼
              File Transfer
                     │
                     ▼
                 Process
                     │
            ┌────────┴────────┐
            │                 │
            ▼                 ▼
        Server A          Server B
            │                 │
            └────────┬────────┘
                     │
                     ▼
                Result Check
                     │
               ┌─────┴─────┐
               ▼           ▼
            Complete      Review

A workflow is not limited to arranging multiple tasks in sequence. Depending on the file-processing objective, you can combine sequential execution, parallel processing, conditional branching, and result verification to define the required task relationships.

Configuration Method How It Is Used
Sequential Execution Start the next task after the previous transfer or processing job completes
Parallel Execution Transfer one file to multiple servers or storage systems at the same time
Conditional Branching Run different tasks based on file type or processing result
Result Chaining Pass the completion or failure result of the previous task to the next stage
Post-Processing Run validation, conversion, or another program after transfer completion

For example, after transferring a source file to a processing server and generating the converted output, you can distribute the result to multiple targets in parallel and review the outcome of each task.

Source File
     │
     ▼
Transfer to Processing Server
     │
     ▼
Run Processing
     │
     ▼
Result Files
     │
 ┌───┼───────────────┐
 ▼   ▼               ▼
Web Server      Archive Storage
     │               │
     └───────┬───────┘
             ▼
        Result Check

This lets you manage multi-stage file operations such as file preparation → transfer → processing → result generation → distribution by target → execution result verification within a single Flow instead of running and checking each transfer and processing task separately.

Execution Methods#

Process tasks in sequence or branch to multiple targets in parallel

Not every task in a Flow needs to run the same way.

Connect tasks sequentially when one stage must finish before the next can start, and use parallel branches when the same file needs to be distributed to multiple systems.

Execution Method Use
Sequential Execution Start the next task after the previous task completes
Parallel Execution Transfer to multiple Targets at the same time
Conditional Branching Run different tasks based on processing results
Result Chaining Connect results from multiple tasks to the next stage

For example, you can process one source file first, then distribute the generated output to multiple environments in parallel.

Raw Data
    │
    ▼
Processing Server
    │
    ▼
Result File
    │
 ┌──┼───────────┐
 ▼  ▼           ▼
NAS Cloud    Backup
 │    │           │
 └────┴─────┬─────┘
            ▼
       Result Check

This allows different execution structures to be combined within one Flow based on the file movement path and task characteristics.

Automation Scope#

Continue through post-transfer processing and result verification

A workflow does not end after a file is transferred once.

You can build a single flow that runs a processing program after the file arrives, transfers the result to other systems, and verifies the completion status of the overall job.

┌──────────┐
│ Source   │
└────┬─────┘
     │
     ▼
┌──────────┐
│ Transfer │
└────┬─────┘
     │
     ▼
┌──────────┐
│ Process  │
└────┬─────┘
     │
     ▼
┌──────────┐
│ Distribute│
└────┬─────┘
     │
     ▼
┌──────────┐
│ Complete │
└──────────┘

This lets you manage multi-stage file work such as file collection → transfer → processing → branched distribution → result verification as a single automation unit.

IT Engineers#

Start Conditions#

Configure the event and execution criteria that start the file workflow

First, define the condition that starts the overall workflow.

The workflow can start when a new file is created or be triggered after a specific transfer job completes.

Start conditions can be configured differently depending on the workflow purpose.

Start Condition Example Configuration
File Created Start when a new file is created in a designated folder
File Changed Run again when an existing file is modified
Scheduled Run Run repeatedly at specified dates and times
Transfer Completed Start after a previous file transfer completes
External Request Start the Flow through an API or URL request

Configuring start conditions lets you automate not just individual stages, but the entire file-processing workflow itself.

Chain Stages#

Continue to the next task based on the completion result of the previous stage

When multiple stages must run in order, use the result of the previous task as the execution condition for the next stage.

For example, start conversion on the processing server only after the source file transfer completes, then transfer the result file to the next system after conversion finishes.

Stage 1                 Stage 2                 Stage 3

Source
   │
   ▼
Transfer ──────► Process ──────► Result Transfer
   │                  │                  │
Completed          Completed          Completed

When sequential execution is required, stage relationships can be configured using criteria like the following.

  • Start processing only after the source file transfers successfully

  • Run the next task after file validation completes

  • Transfer the result file after processing generates the output

  • Wait or stop subsequent tasks if the previous stage fails

  • End the overall Flow after all required stages complete

This makes the execution order of each task explicit and manageable.

Parallel Distribution#

Transfer one file to multiple systems at the same time

When the same file or processing result is required in multiple environments, branch from one stage into multiple transfer jobs.

For example, you can transfer a processed file to a production server, backup storage, and a cloud environment in parallel.

                    Result File
                         │
                         ▼
                  ┌────────────┐
                  │ Distribution│
                  └──────┬─────┘
              ┌──────────┼──────────┐
              ▼          ▼          ▼
         Production    Backup      Cloud
           Server     Storage     Storage

Parallel distribution lets multiple target operations run together instead of waiting for one target transfer to finish before starting another.

Distribution Target Example Use
Production Server Apply files to the live service environment
Backup Environment Store source or result files separately
Cloud Share data with external systems
Analytics Server Run downstream data processing and analysis
Multiple Branches Distribute the same file to regional systems

This lets you manage distribution of the same file to multiple work environments within a single stage.

Conditional Branching#

Run different tasks based on file state and processing results

Not every file needs to follow the same processing path.

You can define different processing paths based on file type, validation result, or whether the previous task succeeded.

                    File Check
                        │
                ┌───────┴────────┐
                │                │
           Valid File        Invalid File
                │                │
                ▼                ▼
           Processing       Error Storage
                │                │
                ▼                ▼
          Result Transfer    Review Queue

Conditional branching can be used in situations like the following.

Decision Criteria Branch Example
File Type Send image and data files to different servers
File Name Run different processing according to business file-naming rules
Validation Result Process valid files and store invalid files separately
Transfer Result Continue on success or run exception handling on failure
File Size Process large files and standard files through different flows

This allows a Flow to select the appropriate processing path automatically based on file state.

Result Processing#

Collect results from multiple stages and connect them to the next task

When sequential and parallel tasks are combined, manage the overall workflow result based on the completion state of each stage.

For example, after distributing files to multiple servers, you can record the final result or start the next workflow once all required targets complete successfully.

        Processing Complete
                │
       ┌────────┼────────┐
       ▼        ▼        ▼
    Server A  Server B  Server C
       │        │        │
       ✓        ✓        ✓
       └────────┼────────┘
                ▼
          Result Collected
                │
                ▼
           Next Workflow

At the final stage, connect the next task based on the overall execution result.

  • Mark the workflow complete when files are applied successfully to all targets

  • Start the next Flow after confirming results from the required targets

  • Record a needs-review state when some tasks encounter problems

  • Transfer processing results to another system or storage location

  • Send the overall execution result to notification or monitoring systems

This lets you manage processing status at the workflow level instead of checking each task result separately.

Run Tracking#

Review the status of the overall Flow and each individual stage together

In a multi-stage workflow, it is important to know not only whether the overall job has completed, but also which stage is currently running.

In Runs, you can review overall progress and the result of each stage for a workflow execution.

For example, you can review the overall flow as follows.

Workflow Run

[✓] File Transfer
        │
[✓] Validation
        │
[✓] Processing
        │
 ┌──────┼──────┐
[✓]    [✓]    [!] 
Server A Server B Server C
                  │
                  ▼
             Needs Review

Review workflow status using items like the following.

Item Details
Workflow Overall Flow that was executed
Current Stage Stage currently in progress
Previous Result Processing result from the previous task
Branch Branched task path
Target Status Transfer result by target
Started Overall job start time
Completed Final completion time

This lets you track both the overall flow and individual stage status even when multiple transfer and processing jobs are connected.

Exception Flow#

Review the overall job state and reprocess only the required part when a stage fails

In a multi-stage workflow, a failure in one stage does not always require restarting the entire job.

Use the execution results to identify the failed stage and affected downstream tasks, then rerun only the necessary portion.

                    Workflow Run
                         │
                         ▼
                 ┌──────────────┐
                 │ Failed Stage │
                 └──────┬───────┘
                        │
            ┌───────────┼───────────┐
            ▼           ▼           ▼
        Source       Condition      Target
         Check         Check         Check
            │           │           │
            └───────────┼───────────┘
                        ▼
                   Fix Settings
                        │
                        ▼
                    Retry Stage
                        │
                        ▼
                 Continue Workflow

When a problem occurs, identify the cause based on the characteristics of the failed stage instead of reviewing the entire Flow at once.

Problem Area What to Check Response
Transfer Stage Source and Target connection state Check connections and paths
Processing Stage Program and execution environment Adjust execution conditions
Conditional Branch File conditions and previous results Review branching criteria
Parallel Task Execution status by target Identify the affected target
Result Stage Overall completion criteria Review result-processing criteria

A multi-stage file workflow extends beyond simple file transfer by connecting sequential processing → parallel distribution → conditional branching → result collection → exception handling within one Flow.

Instead of running and managing each task separately, combine the required operations according to the flow of files and processing results to build an automation structure that matches the actual work environment.

PreviousScan Received Files with Microsoft Defender and Perform Follow-up ProcessingNextAutomatically Transfer Media Sources and Processing Results Step by Step

On this page

  • Getting Started
  • Basic Concept
  • Execution Methods
  • Automation Scope
  • IT Engineers
  • Start Conditions
  • Chain Stages
  • Parallel Distribution
  • Conditional Branching
  • Result Processing
  • Run Tracking
  • Exception Flow