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Kubernetes Production Guide on AWS
From Beginner to Expert for Cloud & DevOps Engineers
Shell Scripting Handbook
From Beginner to Expert for Cloud & DevOps Engineers
Linux Master Handbook
From Beginner to Expert for Cloud & DevOps Engineers
Ultimate DevOps Bundle: Kubernetes Handbook, Terraform Masterbook, Freelancing Masterbook & Job Search Toolkit
Use these eBooks to deepen your understanding of Kubernetes, Terraform, and Freelancing, and accelerate your job hunt with the included Job Search Tracker (Exclusive for LearnXops Premium members)
Batch Inference Pipelines at Scale
Score Thousands of Rows on a Schedule by Chunking, Fanning Out in Parallel, and Writing Idempotent Parquet Back to S3. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 54)
Airflow Operators for ML: Python, Docker, and Kubernetes
Keep Airflow Thin and Push Training Into Containers and Kubernetes Pods With DockerOperator and KubernetesPodOperator. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 53)
Introduction to Apache Airflow for ML Workflows
Turn Your Training Scripts Into a Scheduled, Retryable, Observable Airflow DAG That Runs Every Day Without You. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 52)
Model Governance and ML Metadata Management
Record Where Every Model Came From, What It Was Trained On, and When It Shipped So Any Prediction Can Be Traced Back in Minutes. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 51)
A/B Testing and Shadow Deployment for ML Models
Ship a New Model Without Betting Everything on It: Shadow It, Canary It, Split Traffic 80/20, and Let Statistics Decide the Winner. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 50)
Week 7 Review: Monitoring and Observability Stack
Run Metrics, Logs, Traces, Alerts, and One ML Dashboard Together in a Single Docker Compose Stack, Then Hunt for the Gaps. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 49)
