Skip to main content
Glama

browse_s3_logs

Navigate S3 log directories to locate and access logs for troubleshooting EMR Serverless jobs and Airflow pipelines across development, test, and production environments.

Instructions

Browse the S3 log directory structure. Navigate into folders to find logs.

Args: prefix: S3 prefix/path to browse (default: EMR_LOG_PREFIX from config, e.g. 'spark-logs/'). Use the output to navigate deeper, e.g. 'spark-logs/ttdgeo_metadata_SE/'. bucket: S3 bucket (default from config). max_items: Max items to show (default 50). env: Target environment — 'dev', 'uat', 'test', or 'prod'. IMPORTANT: Do NOT guess or default. Ask the user which environment if not specified.

Returns a directory listing of the S3 prefix showing folders and files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prefixNo
bucketNo
max_itemsNo
envNo

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SrujanReddyKallu2024/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server