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Amazon Bedrock Flows Cheat Sheet

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Amazon Bedrock Flows Cheat Sheet

  

  • Amazon Bedrock Flows is a core feature for implementing production-ready, complex generative AI applications. It abstracts the heavy lifting of coding integrations, state management, and deployment pipelines into a drag-and-drop visual interface or API. This allows teams—from developers to subject-matter experts—to collaborate and rapidly iterate on AI workflows, moving from prototyping to scalable, versioned deployments in minutes.

 

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Amazon Bedrock Flows Features

  • Visual, Low-Code/No-Code Builder
    • Design workflows using a drag-and-drop interface in Amazon Bedrock Studio. Link nodes representing Prompts, Foundation Models (FMs), Knowledge Bases, AWS Lambda functions, Amazon Lex bots, and other AWS services to define business logic without writing integration code.
  • Broad Component Integration
    • Seamlessly integrate the core building blocks of Amazon Bedrock and AWS:
    • Bedrock Services: Foundation Models, Prompts, Knowledge Bases (for RAG), Guardrails (for safety), and Agents.

    • AWS Services: Invoke AWS Lambda for custom logic, retrieve/store data with Amazon S3, integrate chatbots with Amazon Lex, and more.

    • Logic & Flow Control: Use iterator, collector, and condition nodes to handle loops, data aggregation, and branching.

  • Built-in Testing, Versioning, and Deployment
    • Test Iteratively: Run and debug flows directly in the console with full traceability of inputs and outputs at each node.
    • Version & Rollback: Create immutable, versioned snapshots of your flow for reliable rollbacks, A/B testing, and staged promotions.

    • Serverless Execution: Deploy by simply publishing a version and invoking it via a secure InvokeFlow API endpoint. No infrastructure to provision or manage.

  • Collaboration & Governance
    • Hosted in Amazon Bedrock Studio, an SSO-enabled workspace that provides a unified environment for teams to experiment, share, and co-create flows with appropriate access controls.

 

Amazon Bedrock Flows Use Cases

  • Automated Content Processing & Summarization
    • Create a flow that fetches documents from S3, uses an iterator node to summarize each document with a foundation model, aggregates the results, and writes a final report back to S3—ideal for processing news, research papers, or customer feedback.
  • Enhanced Customer Support Automation
    • Build a workflow where a customer query triggers a Knowledge Base search for accurate information, passes the context to a model to generate a tailored response, applies a Guardrail for safety checks, and finally invokes a Lambda function to create a support ticket if needed.
  • Data-Driven Report Generation
    • Develop a flow that queries a business database for sales metrics, uses a foundation model to analyze trends and generate narrative insights, formats the output, and automatically publishes a daily or weekly report to a company portal or email list.

 

Amazon Bedrock Flows Implementation 

Core Architecture: The Node-Based Flow
A Flow is a directed graph of nodes (processing units) connected by edges (data flow). Execution proceeds from a starting node (like an Input), through connected nodes (like a Prompt or Lambda), to an endpoint (Output).

Workflow Lifecycle

  1. Design: Drag, drop, and connect nodes in the visual builder. Configure each node (e.g., select a specific FM, specify a Lambda ARN, define a prompt).

  2. Test & Iterate: Use the “Prepare” function to stage changes, then run tests with sample inputs. Inspect traces at each node to debug.

  3. Version: “Publish” the flow to create an immutable version (e.g., v1). This snapshot can be invoked via API.

  4. Deploy & Invoke: Create an Alias (e.g., Prod) pointing to a published version. Your application calls the InvokeFlow API against the alias.

Key API for Integration

  • InvokeFlow: The primary API to execute a published version or alias of your flow from any application.

 

Amazon Bedrock Flows Security

  • IAM Permissions
    • Flows require IAM roles with precise permissions for the AWS services they interact with (e.g., bedrock:InvokeModel for FMs, lambda:InvokeFunction). The principle of least privilege should be applied when creating the flow’s execution role.
  • Data Isolation & Encryption
    • Workflow execution runs in a secure, serverless environment. Data in transit between nodes is protected. You maintain control over data persistence, as defined by your node configuration (e.g., not storing intermediate data unless explicitly coded in a Lambda).
  • Auditing with AWS CloudTrail
    • API calls to create, publish, or invoke flows can be logged and monitored via AWS CloudTrail for security and compliance auditing.

 

Amazon Bedrock Flows Best Practices

  • Start Simple, Iterate Visibly
    • Begin with a linear, 3-4 node flow to understand data passing. Use the built-in traceability heavily during testing to see exact inputs/outputs at each step before adding complexity like loops or branches.
  • Leverage Versioning for Lifecycle Management
    • Use aliases (e.g., DevStagingProd) to manage which version is live. Promote new versions by updating the alias pointer, enabling instant rollbacks if issues arise.
  • Optimize Cost with Node Design
    • Be mindful that you are charged per node transition. Structure your flows efficiently—for example, use an iterator node to process a list of items within a single flow execution rather than making separate API calls for each item.
  • Parameterize for Reusability
    • Use input nodes to pass variables (like customer IDs, search terms, or date ranges) into your flow. This makes a single flow template reusable for many scenarios without modification.

 

Amazon Bedrock Flows Pricing

Bedrock Flows uses a consumption-based pricing model. You incur two primary cost components:

Component What You Pay For Details & Example
Flow Execution Node Transitions $0.035 per 1,000 node transitions. A “node transition” is counted each time a node in your workflow is executed.
AWS Services Underlying Resource Usage Standard pricing for all services invoked by your flow (e.g., per-token charges for Foundation Models, request charges for Lambda, storage/request fees for S3).

Pricing Example:
A daily report flow runs 20 times per month. Each execution traverses 15 nodes.

  • Node Transition Cost: 20 executions * 15 nodes * ($0.035 / 1000) = $0.0105

  • Total Cost: $0.0105 + charges for Foundation Model tokens, Lambda invocations, etc., used within those nodes.

 

Amazon Bedrock Flows Cheat Sheet References:

https://aws.amazon.com/bedrock/flows/
https://docs.aws.amazon.com/bedrock/latest/userguide/flows.html

 

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Written by: Joshua Emmanuel Santiago

Joshua, a college student at Mapúa University pursuing BS IT course, serves as an intern at Tutorials Dojo.

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