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AWS
Developer
Overview
Last minute notes
Caching Strategies
Resources
Enhanced Plan
Recommended
AWS Technical Essentials
Deploying Applications with AWS Elastic Beanstalk
Introduction to Containers
Solutions Architect
Overview
Domains
Design secure architectures
Design resilient architectures
Design high-performing architectures
Design cost-optimized architectures
Courses
Mainframe Migration and Modernization
Resources
ML Engineer
Overview
Domain 1
Collect, Ingest, and Store Data
Transform Data
Validate Data and Prepare for Modeling
Domain 2
Choose a Modelling Approach
Train Models
Refine Models
Analyze Model Performance
Domain 3
Select a Deployment Infrastructure
Create and Script Infrastructure
Automate Deployment
Domain 4
Monitor Model Performance and Data Quality
Monitor and Optimize Infrastructure and Costs
Secure AWS ML Resources
Services
AI Services
Bedrock
SageMaker
Resources
Enhanced Plan
Random Notes
Sample Questions
Resources
Data Engineer
Overview
Plan
Foundations
A Data Lake
A Data Warehouse
A Batch Data Pipeline
A Streaming Data Pipeline
Course
Overview
Fundamentals
Storage
Simple Storage Service (S3)
Elastic Block Store (EBS)
Elastic File System (EFS)
Database
Amazon DynamoDB
Amazon Redshift
Amazon DocumentDB
Amazon MemoryDB
Amazon Keyspaces
Amazon Neptune
Amazon Timestream
Amazon Redshift
Migration & Transfer
Migration Services
Database Migration Service (DMS)
AWS DataSync
AWS Snow Family
Application Integration
Simple Queue Service (SQS)
Simple Notification Service (SNS)
Practice Exams
Sample Questions
Exam 1
Random
Fact Tables
Resources
Enhanced Plan
Generative AI
MLOps
Foundations and Principles
MLOps on Azure Databricks
LLMOps
Courses
LLMOps Specialization
Home
Introduction
Module 2
Kubernetes
Basics
Learn Kubernetes
Create a cluster
Deploy an app
Explore your app
Expose your app publicly
Scale up your app
Update your app
Minikube
Hello Minikube
LFS158x
Introduction to Kubernetes
From Monolith to Microservices
Container Orchestration
Kubernetes
Kubernetes Architecture
Installing Kubernetes
Minikube
Acessing Minikube
Kubernetes Building Blocks
Authentication & Authorization
Deploying a Stand-Alone Application
Services
Kubernetes Volume Management
ConfigMaps & Secrets
Ingress
Advanced Topics
Kubernetes Community
Neo4j
Overview
Fundamentals
Neo4j Fundamentals
Graph Thinking
Property Graphs
Explore Neo4j
Cypher Fundamentals
Reading Data from Neo4j
Generative AI
Neo4j & LLM Fundamentals
Introduction to Neo4j & GenAI
Avoiding Hallucination
References
Python
Tools
uv
Hatch
Snippets
Archive
Archive
EDA vs MDA
Status HTTP vs RESTful APIs
HTTP Codes vs RESTful APIs pt-BR
Cache para Serviços Backend (pt-BR)
Responses in MDA
Choosing MDA
Cache for Kotlin backend
BFF Reference Architecture
Optimizing a Spring Boot BFF
BFF EKS Spring Optimization
Why TypeScript?
API Gateway vs Reverse Proxy
OpenAPI doc guide
Grafana LGTM Stack
Helm
Distroless Containers
GitOps
Software Licenses
mTLS
mTLS Explained
mTLS with Istio Ambient
Microsoft
ai-engineer
Azure AI Engineer Associate
Snowflake
Overview
Badges
1: Data Warehousing
Getting Set Up
Identity and Access
Twelve Factor App
Codebase
Dependencies
Config
CI/CD
Pacote Completo de Proposta CI/CD
Proposta de Modernização CI/CD
Proposta de Arquitetura CI/CD
Diagramas CI/CD Pipeline
Exemplos Práticos de Configuração CI/CD
Monitor and Optimize Infrastructure and Costs
Monitor Infrastructure
Section titled “Monitor Infrastructure”
Importance of Monitoring ML Infrastructure
Section titled “Importance of Monitoring ML Infrastructure”
Monitoring Performance Metrics
Section titled “Monitoring Performance Metrics”
Monitoring and Observability
Section titled “Monitoring and Observability”
Monitoring Tools for Performance and Latency
Section titled “Monitoring Tools for Performance and Latency”
Observability and Auditing Your ML Solution
Section titled “Observability and Auditing Your ML Solution”
Setting Up Dashboards
Section titled “Setting Up Dashboards”
Optimize Infrastructure
Section titled “Optimize Infrastructure”
Rightsizing Compute Infrastructure for ML Solutions
Section titled “Rightsizing Compute Infrastructure for ML Solutions”
Demo: Amazon SageMaker Inference Recommender
Section titled “Demo: Amazon SageMaker Inference Recommender”
Optimize Costs
Section titled “Optimize Costs”
Reducing Monitoring Costs
Section titled “Reducing Monitoring Costs”
Balancing Capacity, Cost, and Performance
Section titled “Balancing Capacity, Cost, and Performance”
Using AWS Cost Management Tools with ML Solutions
Section titled “Using AWS Cost Management Tools with ML Solutions”
Purchasing Option to Optimize ML Infrastructure Costs
Section titled “Purchasing Option to Optimize ML Infrastructure Costs”
Resources
Section titled “Resources”