Stories by Scarlett Attensil
Kubernetes Observability: Metrics, Alerts, and Best Practices
Kubernetes observability lets you collect and correlate logs, metrics, and traces, configure actionable alerts, and improve production incident response.
Scarlett Attensil
Machine learning model deployment
Machine learning model deployment moves trained models to production. Learn deployment patterns for ML models, CI/CD, and feature-flag rollouts.
Scarlett Attensil
MLOps Solutions for Production Machine Learning
Learn how MLOps solutions support experiment tracking, model serving, monitoring, feature management, governance, and production rollouts.
Scarlett Attensil
The software factory stack everyone forgot to finish
Most software factory diagrams stop the moment software becomes consequential.
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MLOps pipeline: Stages, tools, and deployment workflow
Learn how an MLOps pipeline manages data validation, feature engineering, training, evaluation, deployment, and production feedback loops.
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Best CI/CD Pipelines for Containerized AI Development
Containerized AI applications require sophisticated deployment infrastructure to manage Docker images.
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ML Experiment Tracking: What to Track Across Models, Data, and Production
The vast majority of teams working on large language models (LLMs) and machine learning (ML) systems diligently track hyperparameters.
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Best Practices for Experiment Tracking in MLOps
Machine learning experimentation scales quickly.
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Why AI deployment breaks standard CI/CD
Learn why AI deployment can break standard CI/CD and how runtime controls, shadow testing, rollouts, and rollback reduce risk.
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The Complete AI Experimentation Guide: Test, compare, validate, and ship safely
Artificial intelligence tools aren’t like traditional software.
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MLOps lifecycle: Stages, workflow, and best practices
Understand the MLOps lifecycle from data preparation to monitoring.
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AI pipeline: Preventing drift in production systems
Learn why uncontrolled AI pipeline changes can cause failures in prod.
Scarlett Attensil
LLM observability: Tutorial and best practices
LLM observability analyzes how models behave across development, testing, and production.
Scarlett Attensil
LLM pricing comparison: Tutorial and best practices
Large language models (LLMs) power a wide range of AI applications today.
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