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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)
Introduction to Helm for ML Application Packaging
Package, Configure, Deploy, Upgrade, and Roll Back ML Applications on Kubernetes with Helm (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 26)
ML Model inference Scaling on Kubernetes Using Horizontal Pod Autoscaling and Rolling Updates
Make ML Models running on Kubernetes survive a traffic spike, and ship a new model version without a single failed prediction (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 25)
Kubernetes ConfigMaps, Secrets, and Persistent Volumes for ML Models
Managing Application Configuration, Credentials, and Persistent Model Storage in Kubernetes (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 24)
Deploying ML Models on Kubernetes
From Docker Containers to Production-Ready Kubernetes Deployments (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 23)
Introduction to Kubernetes for MLOps Engineers
Kubernetes core concepts and architecture (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 22)
Week 3 Review: The Cloud ML Workflow, End-to-End
Consolidate everything from cloud storage through SageMaker training to a live inference endpoint, then put a price tag on running it in production. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 21)
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