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tyrrestrup

ssis-adf-agent

by tyrrestrup
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Python
Hybrid

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    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct and non-overlapping purpose: analyze_ssis_package examines SSIS packages for metrics and insights, convert_ssis_package transforms them to ADF JSON, deploy_to_adf deploys those artifacts, scan_ssis_packages discovers packages, and validate_adf_artifacts checks JSON validity. The descriptions clearly differentiate their functions, eliminating any ambiguity in tool selection.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structure: analyze_ssis_package, convert_ssis_package, deploy_to_adf, scan_ssis_packages, and validate_adf_artifacts. The naming is predictable and aligns well with the actions each tool performs, making the set easy to navigate and understand.

    Tool Count5/5

    With 5 tools, this server is well-scoped for its purpose of migrating and managing SSIS packages to Azure Data Factory. Each tool serves a critical step in the workflow—discovery, analysis, conversion, validation, and deployment—without being overly sparse or bloated, making the count ideal for the domain.

    Completeness5/5

    The tool set provides complete coverage for the SSIS to ADF migration lifecycle: it starts with scanning and analyzing packages, converts them to ADF artifacts, validates the output, and deploys to Azure. There are no obvious gaps, as it supports the entire process from source discovery to deployment, ensuring agents can handle the migration end-to-end.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources