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  • Quick start
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          • Connectors release 08/20/2024
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      • Release notes 2022
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      • Release notes 2021
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    • AI Pair Programmer
    • Digibeectl
      • Getting started
        • How to install Digibeectl on Windows
      • Digibeectl syntax
      • Digibeectl operations
  • Digibee in action
    • Use Cases in Action
      • Improving integration performance with API pagination
      • Automating file storage with Digibee
      • Reprocessing strategy in event-driven integrations
      • Key practices for securing sensitive information in pipelines with Digibee
      • OAuth2 for secure API access
      • Secure your APIs with JWT in Digibee
      • Integration best practices for developers on the Digibee Integration Platform
      • How to use Event-driven architecture on the Digibee Integration Platform
      • Dynamic file download with Digibee
      • Microservices: Circuit Breaker pattern for improving resilience
      • Error handling strategy in event-driven integrations
    • Troubleshooting
      • Integration guidance
        • How to resolve common pipeline issues
        • How to resolve Error 409: “You cannot update a pipeline that is not on draft mode”
        • How to resolve the "Pipeline execution was aborted" error
        • Integrated authentication with Microsoft Entra ID
        • How to resolve the "Failed to initialize pool: ONS configuration failed" error
        • How to perform IP address mapping with Progress database
        • How to build integration flows that send error notifications
        • How to send logs to external services
        • How JSONPath differs in connectors and the Execution panel
        • Using JSONPath to validate numbers with specific initial digits
        • How to analyze the "Network error: Failed to fetch" in the Execution panel
        • How to handle request payloads larger than 5MB
        • How to configure Microsoft Entra ID to display groups on the Digibee Integration Platform
        • How to build an HL7 message
      • Connectors behavior and configuration
        • Timeout in the Pipeline Executor connector
        • How to use DISTINCT and COUNT in the Object Store
        • Understanding @@DGB_TRUNCATED@@ on the Digibee Integration Platform
        • How to resolve names without a DNS - REST, SOAP, SAP (web protocols)
        • How to read and write files inside a folder
        • AuthToken Reuse for Salesforce connector
        • How to resolve the "Invalid payload" error in API Integration
        • Supported databases
          • Functions and uses for databases
      • Connectors implementation and usage examples
        • Google Storage: Usage scenarios
        • DB V2: Usage scenarios
        • For Each: Usage example
        • Template and its uses
        • Digibee JWT implementation
        • Email V1: Usage example (Deprecated)
      • JOLT applications
        • Transformer: Getting to know JOLT
        • Transformer: Transformations with JOLT
        • Transformer: Add values to list elements
        • Transformer: Operations overview
        • Transformer: Date formatting using split and concat
        • Transformer: Simple IF-ELSE logic with JOLT
      • Platform access and performance tips
        • How to solve login problems on the Digibee Integration Platform
        • How to receive updates from Digibee Status Page
        • How to clean the Digibee Integration Platform cache
      • Governance troubleshooting guidance
        • How to consume Internal API pipelines using ZTNA
        • How to use Internal API with and without a VPN
        • How to generate, convert, and register SSH Keys
        • mTLS authentication
          • How to configure mTLS on the Digibee Integration Platform
          • FAQs: Certificates in mTLS
        • How to connect Digibee to Oracle RAC
        • How to connect Digibee to SAP
        • How to connect Digibee to MongoDB Atlas using VPN
        • How to manage IPs on the Digibee Integration Platform
        • Configuring the Dropbox account
        • How to use your Gmail account with the Digibee email component (SMTP)
        • How to use the CORS policy on the Digibee Integration Platform
      • Deployment scenarios
        • Solving the “Out of memory” errors in deployment
        • Warning of route conflicts
    • Best practices
      • Best practices for building a pipeline
      • Best practices on validating messages in a consumer pipeline
      • Avoiding loops and maximizing pipeline efficiency
      • Naming: Global, Accounts, and API Keys
      • Pagination tutorial
        • Pagination tutorial - part 1
        • Pagination tutorial - part 2
        • Pagination tutorial - part 3
        • Pagination tutorial - part 4
      • Pagination example
      • Event-driven architecture
      • Notification model in event-driven integrations
      • OAuth2 integration model with Digibee
      • Best practices for error handling in pipelines
    • Digibee Academy
      • Integration Developer Bootcamp
  • Reference guides
    • Connectors
      • AWS
        • S3 Storage
        • SQS
        • AWS Secrets Manager
        • AWS Athena
        • AWS CloudWatch
        • AWS Elastic Container Service (ECS)
        • AWS Eventbridge
        • AWS Identity and Access Management (IAM)
        • AWS Kinesis
        • AWS Kinesis Firehose
        • AWS Key Management Service (KMS)
        • AWS Lambda
        • AWS MQ
        • AWS Simple Email Service (SES)
        • AWS Simple Notification System (SNS)
        • AWS Security Token Service (STS)
        • AWS Translate
      • Azure
        • Azure CosmosDB
        • Azure Event Hubs
        • Azure Key Vault
        • Azure ServiceBus
        • Azure Storage DataLake Service
        • Azure Storage Queue Service
      • Enterprise applications
        • SAP
        • Salesforce
        • Braintree
        • Facebook
        • GitHub
        • Jira
        • ServiceNow
        • Slack
        • Telegram
        • Twilio
        • WhatsApp
        • Wordpress
        • Workday
        • Zendesk
      • File storage
        • Blob Storage (Azure)
        • Digibee Storage
        • Dropbox
        • FTP
        • Google Drive
        • Google Storage
        • OneDrive
        • SFTP
        • WebDav V2
        • WebDav (Deprecated)
      • Files
        • Append Files
        • Avro File Reader
        • Avro File Writer
        • CSV to Excel
        • Excel
        • File Reader
        • File Writer
        • GZIP V2
        • GZIP V1 (Deprecated)
        • Parquet File Reader
        • Parquet File Writer
        • Stream Avro File Reader
        • Stream Excel
        • Stream File Reader
        • Stream File Reader Pattern
        • Stream JSON File Reader
        • Stream Parquet File Reader
        • Stream XML File Reader
        • XML Schema Validator
        • ZIP File
        • NFS
      • Flow
        • Delayer
      • Google/GCP
        • Google BigQuery
        • Google BigQuery Standard SQL
        • Google Calendar
        • Google Cloud Functions
        • Google Mail
        • Google PubSub
        • Google Secret Manager
        • Google Sheets
      • Industry solutions
        • FHIR (Beta)
        • Gupy Public API
        • HL7
        • HubSpot: Sales and CMS
        • Mailgun API
        • Oracle NetSuite (Beta)
        • Orderful
        • Protheus: Billing and Inventory of Cost
      • Logic
        • Block Execution
        • Choice
        • Do While
        • For Each
        • Retry
        • Parallel Execution
      • Queues and messaging
        • Event Publisher
        • JMS
        • Kafka
        • RabbitMQ
      • Security
        • AES Cryptography
        • Asymmetric Cryptography
        • CMS
        • Digital Signature
        • JWT (Deprecated)
        • JWT V2
        • Google IAP Token
        • Hash
        • Digibee JWT (Generate and Decode)
        • LDAP
        • PBE Cryptography
        • PGP
        • RSA Cryptography
        • Symmetric Cryptography
      • Structured data
        • CassandraDB
        • DB V2
        • DB V1 (Deprecated)
        • DynamoDB
        • Google Big Table
        • Memcached
        • MongoDB
        • Object Store
        • Relationship
        • Session Management
        • Stored Procedure
        • Stream DB V3
        • Stream DB V1 (Deprecated)
        • ArangoDb
        • Caffeine Cache
        • Caffeine LoadCache
        • Couchbase
        • CouchDB
        • Ehcache
        • InfluxDB
      • Tools
        • Assert V2
        • Assert V1 (Deprecated)
        • Base64
        • CSV to JSON V2
        • CSV to JSON V1 (Deprecated)
        • HL7 Message Transformer (Beta)
        • HTML to PDF
        • Transformer (JOLT) V2
        • JSLT
        • JSON String to JSON Transformer
        • JSON to JSON String Transformer
        • JSON to XML Transformer
        • JSON to CSV V2
        • JSON to CSV Transformer (Deprecated)
        • JSON Path Transformer V2
        • JSON Path Transformer
        • JSON Transformer
        • Log
        • Pipeline Executor
        • QuickFix (Beta)
        • SSH Remote Command
        • Script (JavaScript)
        • Secure PDF
        • Store Account
        • Template Transformer
        • Throw Error
        • Transformer (JOLT)
        • Validator V1 (Deprecated)
        • Validator V2
        • XML to JSON Transformer
        • XML Transformer
        • JSON Generator (Mock)
      • Web protocols
        • Email V2
        • Email V1 (Deprecated)
        • REST V2
        • REST V1 (Deprecated)
        • SOAP V1 (Deprecated)
        • SOAP V2
        • SOAP V3
        • WGet (Download HTTP)
        • gRPC
    • Triggers
      • Web Protocols
        • API Trigger
        • Email Trigger
        • Email Trigger V2
        • HTTP Trigger
        • HTTP File Trigger
          • HTTP File Trigger - Downloads
          • HTTP File Trigger - Uploads
        • REST Trigger
      • Scheduling
        • Scheduler Trigger
      • Messaging and Events
        • Event Trigger
        • JMS Trigger
        • Kafka Trigger
        • RabbitMQ Trigger
      • Others
        • DynamoDB Streams Trigger
        • HL7 Trigger
        • Salesforce Trigger - Events
    • Double Braces
      • How to reference data using Double Braces
      • Double Braces functions
        • Math functions
        • Utilities functions
        • Numerical functions
        • String functions
        • JSON functions
        • Date functions
        • Comparison functions
        • File functions
        • Conditional functions
      • Double Braces autocomplete
  • Development cycle
    • Build
      • Canvas
        • AI Assistant
        • Smart Connector User Experience
        • Execution panel
        • Design and Inspect Mode
        • Linter: Canvas building validation
        • Connector Mocking
      • Pipeline
        • How to create a pipeline
        • How to scaffold a pipeline using an OpenAPI specification
        • How to create a project
        • Pipeline version history
        • Pipeline versioning
        • Messages processing
        • Subpipelines
      • Capsules
        • How to use Capsules
          • How to create a Capsule collection
            • Capsule header dimensions
          • How to create a Capsule group
          • How to configure a Capsule
          • How to build a Capsule
          • How to test a Capsule
          • How to save a Capsule
          • How to publish a Capsule
          • How to change a Capsule collection or group
          • How to archive and restore a Capsule
        • Capsules versioning
        • Public capsules
          • SAP
          • Digibee Tools
          • Google Sheets
          • Gupy
          • Send notifications via email
          • Totvs Live
          • Canvas LMS
        • AI Assistant for Capsules Docs Generation
    • Run
      • Run concepts
        • Autoscalling
      • Deployment
        • Deploying a pipeline
        • How to redeploy a pipeline
        • How to promote pipelines across environments
        • How to check the pipeline deployment History
        • How to rollback to a previous deployment version
        • Using deployment history advanced functions
        • Pipeline deployment status
      • How warnings work on pipelines in Run
    • Monitor
      • Monitor Insights (Beta)
      • Completed executions
        • Pipeline execution logs download
      • Pipeline logs
      • Pipeline Metrics
        • Pipeline Metrics API
          • How to set up Digibee API metrics with Datadog
          • How to set up Digibee API metrics with Prometheus
        • Connector Latency
      • Alerts
        • How to create an alert
        • How to edit an alert
        • How to activate, deactivate or duplicate an alert
        • How to delete an alert
        • How to configure alerts on Slack
        • How to configure alerts on Telegram
        • How to configure alerts through a webhook
        • Available metrics
        • Best practices about alerts
        • Use cases for alerts
      • VPN connections monitoring
        • Alerts for VPN metrics
  • Connectivity management
    • Connectivity
    • Zero Trust Network Access (ZTNA)
      • Prerequisites for using ZTNA
      • How to view connections (Edge Routers)
      • How to view the Network Mappings associated with an Edge Router
      • How to add new ZTNA connections (Edge Routers)
      • How to delete connections (Edge Routers)
      • How to view routes (Network Mapping)
      • How to add new routes (Network Mapping)
      • How to add routes in batch for ZTNA
      • How to edit routes (Network Mapping)
      • How to delete routes (Network Mapping)
      • How to generate new keys (Edge Router)
      • How to change the environment of Edge routers
      • ZTNA Inverse Flow
      • ZTNA Groups
    • Virtual Private Network (VPN)
  • Platform administration
    • Administration
      • Audit
      • Access control
        • Users
        • Groups
        • Roles
          • List of permissions by service
          • Roles and responsibilities: Governance and key stakeholder identification
      • Identity provider integration
        • How to integrate an identity provider
        • Authentication rules
        • Integration of IdP groups with Digibee groups
          • How to create a group integration
          • How to test a group integration
          • How to enable group integrations
          • How to edit a group integration
          • How to delete a group integration
      • User authentication and authorization
        • How to activate and deactivate two-factor authentication
        • Login flow
      • Organization groups
    • Settings
      • Globals
        • How to create Globals
        • How to edit or delete Globals
        • How to use Globals
      • Accounts
        • Configuring each account type
        • Monitor changes to account settings in deployed pipelines
        • OAuth2 Architecture
          • Registration of new OAuth providers
      • Consumers (API Keys)
      • Relationship model
      • Multi-Instance
        • Deploying a multi-instance pipeline
      • Log Streaming
        • How to use Log Streaming with Datadog
    • Governance
      • Policies
        • Security
          • Internal API access policy
          • External API access policy
          • Sensitive fields policy
        • Transformation
          • Custom HTTP header
          • CORS HTTP header
        • Limit of Replicas policy
    • Licensing
      • Licensing models
        • Consumption Based model
      • Capacity and quotas
      • License consumption
    • Digibee APIs
      • How to create API credentials
  • Digibee concepts
    • Pipeline Engine
      • Digibee Integration Platform Pipeline Engine v2
      • Support Dynamic Accounts (Restricted Beta)
    • Digibee Integration Platform Dedicated SaaS
      • Digibee Integration Platform architecture on Dedicated Saas model
      • Requirements for Digibee Dedicated Saas model
      • Site-to-Site VPN for dedicated SaaS customer support
      • Dedicated Saas customer responsibilities
      • Custom Images of Kubernetes Nodes
      • Digibee Dedicated SaaS installation on AWS
        • How to install requirements before installing Digibee Integration Platform on EKS
        • Permissions to use Digibee Integration Platform on EKS
        • How to create custom nodes for EKS (Golden Images)
    • Introduction to ZTNA
  • Help & FAQ
    • Digibee Customer Support
    • Request documentation, suggest features, or send feedback
    • Beta Program
    • Security and compliance
    • About Digibee
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On this page
  • Operation architecture
  • Key concepts
  • Pipeline sizes: For vertical scalability
  • Consumers
  • Resources (CPU and Memory)
  • Replicas: For horizontal scalability
  • Timeouts and Expiration
  • Execution control
  • FAQ

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  1. Digibee concepts

Pipeline Engine

Learn how the Pipeline Engine interprets and runs your integration pipelines.

The Pipeline Engine of the Digibee Integration Platform is responsible for interpreting and executing pipelines created through the interface.

Take a look at the concepts to better understand how the Pipeline Engine works:

  • Pipeline Engine: Responsible for the execution of the flows built on the Digibee Integration Platform.

  • Trigger: Receives invocations from different technologies and forwards them to Pipeline Engine.

  • Queues mechanism: Central mechanism for managing queues on the Digibee Integration Platform.

Operation architecture

Each flow (pipeline) is converted into a Docker container, executed with the Kubernetes technology — base of the Digibee Integration Platform. This operation model has guarantees such as:

  • Isolation: Each container runs on the infrastructure individually. Memory usage and CPU consumption vary for each pipeline.

  • Safety: Pipelines don’t interfere with each other, unless this interaction is intentionally configured through the interfaces provided by the Digibee Integration Platform.

  • Specific scalability: You can adjust the number of pipeline replicas based on performance needs — scaling up for higher demand or scaling down when less processing power is required.

Key concepts

Pipeline sizes: For vertical scalability

Digibee uses the serverless concept so you don't need to worry about infrastructure details for the execution of your pipelines. That way, each pipeline must have its size defined during the deployment. The Digibee Integration Platform allows the pipelines to be used in 3 different sizes:

  • SMALL: 10 consumers, 20% of 1 CPU, 64 MB memory

  • MEDIUM: 20 consumers, 40% of 1 CPU, 128 MB memory

  • LARGE: 40 consumers, 80% of 1 CPU, 256 MB memory

Consumers

Consumers define how many concurrent messages a pipeline can process. For example, a pipeline with 10 consumers can handle 10 messages in parallel, while 1 with a single consumer processes messages sequentially.

Resources (CPU and Memory)

Pipeline size also defines the performance and memory allocation. The performance is defined by the cycle quantity of a CPU to which the pipeline has access to.

  • CPU: Controls how many cycles the pipeline can use.

  • Memory: Defines the amount of memory available to process and store data during execution.

Replicas: For horizontal scalability

Triggers act as the messages entry point for pipeline execution on the Digibee Integration Platform. These messages are routed to the queue mechanism and available for the pipeline’s consumption.

When deploying a pipeline, you can configure the number of replicas. For example, a SMALL pipeline with 2 replicas has twice the processing capacity compared to one with a single replica. The replicas not only provide more processing and scalability, but also guarantee higher availability. For example, if one of the replicas fails, there are others to take over.

Usage examples

While multiple SMALL pipelines can match the throughput of a LARGE pipeline in some cases, workloads involving large message processing may require vertically scaled pipelines (for example MEDIUM or LARGE).

Even if a pipeline of LARGE size is equivalent to 4 pipelines of SMALL size according to the logic of the infrastructure, it doesn't mean that they are equivalent for all workloads. In many situations, especially those involving the processing of large messages, only pipelines that are scaled vertically can deliver the expected results.

Timeouts and Expiration

Triggers can be configured with the following time controls:

  • Timeout: Maximum time the trigger waits for a pipeline response.

  • Expiration: Maximum time a message can stay in the queue before being picked up.

Timeout

Expiration

Not all triggers support expiration configuration. For example:

Internally, the Platform assigns a non-configurable expiration for synchronous triggers to prevent message loss.

Execution control

Message processing occurs per consumer, sequentially. If a pipeline is deployed with only 1 consumer, it processes one message at a time. While a message is being processed:

  • It’s marked as "in use".

  • Other replicas won’t process it concurrently.

If the pipeline crashes or is restarted, the message in execution is returned to the queue for reprocessing.

Messages returned to the processing queue

Messages returned to the processing queue become available for the consumption of other pipeline replicas or even by the same replica after restart. In this case, it’s possible to configure the pipeline to determine what to do when messages need to be reprocessed. All triggers in the Platform have a configuration called Allow Redeliveries:

  • If enabled: The message can be reprocessed.

  • If disabled: The message is identified as a retry and rejected with an error.

The retry window is defined by:

  • Maximum timeout (for synchronous triggers)

  • Expiration time (for asynchronous triggers)

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FAQ

How long can pipelines run before they time out?

The timeout varies according to the time (in milliseconds) established on the trigger configuration form in the Maximum Timeout field.

Does the timeout differ between the production and test environments?

No. Timeout differences only exist across different versions of the pipeline.

PreviousHow to create API credentialsNextDigibee Integration Platform Pipeline Engine v2

Last updated 7 days ago

Was this helpful?

The trigger timeout should be greater than the sum of the timeouts of all external connectors. This ensures that the pipeline has enough time to handle potential errors before it’s terminated. Check out these .

(asynchronous) can hold messages in the queue longer, making it useful to define the expiration time.

(synchronous) rely on immediate responses, so expiration is not useful to configure the expiration time.

You can also detect if a message is being reprocessed using by accessing the metadata scope. For example:

Event Trigger
REST Trigger
Double Braces
tips for setting timeout values