Validate and Evaluate Amazon Data Firehose Streaming Workflows

A Kiro Power that gives your AI agent expert knowledge for validating and evaluating Amazon Data Firehose delivery streams end-to-end.

What it does

When you mention Firehose, delivery streams, or streaming pipelines, this power activates and provides:

• Workflow Evaluation — Score your pipeline across 8 dimensions (throughput, latency, cost, data quality, resilience, scalability, security, observability) with a structured report template
• Architecture Pattern Matching — Identify which of 6 canonical patterns your pipeline follows and surface anti-patterns
• Delivery Stream Health — Validate ingestion metrics, buffering config, throttling, and recommended alarms
• Transformation Validation — Verify Lambda response format, error handling, and performance
• Destination Reachability — Check IAM, connectivity, and delivery success per destination type (S3, Redshift, OpenSearch, Snowflake, Splunk, HTTP)
• End-to-End Data Flow — Full pipeline validation with latency measurement, record reconciliation, and troubleshooting decision tree

Install

From Kiro IDE

1. Open the Powers panel
2. Click Add Custom Power → Import power from GitHub
3. Enter: https://github.com/stharolz/aws-firehose-streaming-validation

From folder

1. Clone this repo
2. Open Kiro → Powers panel → Add Custom Power → Import power from a folder
3. Select the cloned directory

Usage

Once installed, mention any Firehose-related topic in your Kiro chat:

• "Evaluate my Firehose streaming workflow"
• "Validate the delivery stream health"
• "Is my Firehose pipeline following best practices?"
• "Check my Firehose transformation function"
• "Score my data pipeline architecture"

The power activates automatically based on keywords.

Structure

aws-firehose-streaming-validation/
├── POWER.md                              # Power metadata, onboarding, steering map
├── LICENSE                               # MIT License
├── PRIVACY.md                            # Privacy policy
├── README.md                             # This file
└── steering/
    ├── workflow-evaluation.md            # 8-dimension scoring framework
    ├── architecture-patterns.md          # 6 patterns + anti-patterns reference
    ├── delivery-stream-health.md         # Ingestion, buffering, throttling, alarms
    ├── transformation-validation.md      # Lambda response format, errors, testing
    ├── destination-reachability.md       # Per-destination validation (6 types)
    └── end-to-end-data-flow.md           # Full pipeline validation + decision tree

License

MIT

Support

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