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observability-pipeline

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exajobs / observability-collection

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An ongoing & curated collection of awesome software, frameworks and libraries, learning tutorials and videos, technical guidelines and best practices on the Observability Ecosystem

logging logging-server observer-pattern observability monitoring-alerts monitoring-plugins metrics-gathering monitoring-daemon metrics-visualization monitoring-pipeline observability-pipeline observability-analysis metrics-api observability-data observability-as-code
  • Updated Feb 18, 2022

Trojan3877 / AWS-SageMaker-Snowflake-ML-Pipeline

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The **AWS SageMaker + Snowflake ML Pipeline** is a fully production-grade, end-to-end machine learning workflow designed to ingest large-scale data from Snowflake, perform feature engineering with Apache Spark, and train, tune, and deploy models on AWS SageMaker—all orchestrated and versioned with CI/CD, Terraform, and Ansible.

data-engineering infrastructure-as-code ci-cd-pipeline observability-pipeline model-training-and-tuning dev-mlops
  • Updated Jun 6, 2025
  • Python

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