Udemy - Python Microservices - Build, Scale, And Deploy Like A Pro!

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[ WebToolTip.com ] Udemy - Python Microservices - Build, Scale, And Deploy Like A Pro!
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Overview of Microservices Architecture.mp4 (27.2 MB)
    • 2 - Why Choose Python for Microservices.mp4 (27.2 MB)
    10 - Orchestrating Microservices with Kubernetes
    • 30 - Basics of Kubernetes and Its Role in Microservices.mp4 (46.1 MB)
    • 31 - Setting up Kubernetes with Minikube.mp4 (75.0 MB)
    • 32 - Creating Kubernetes Deployments and Services.mp4 (51.8 MB)
    11 - Testing and Continuous IntegrationContinuous Deployment CICD
    • 33 - Writing Unit tests and integration test for microservices.mp4 (74.3 MB)
    • 34 - Setting Up a GKE for CICD.mp4 (69.4 MB)
    • 35 - Deploying microservices to production.mp4 (78.8 MB)
    • 36 - Next Steps.mp4 (40.9 MB)
    2 - Setting Up the Development Environment
    • 3 - Installing Python and Pip.mp4 (28.9 MB)
    • 4 - Setting Up a Virtual Environment.mp4 (42.7 MB)
    • 5 - Overview of Python Microservices Frameworks Flask FastAPI.mp4 (55.1 MB)
    3 - Creating Your First Microservice
    • 6 - Building a Simple Service with FastAPI.mp4 (37.1 MB)
    • 7 - Defining Endpoints and Routes with FastAPI.mp4 (18.6 MB)
    • 8 - Handling HTTP Methods GET POST PUT DELETE with.mp4 (60.8 MB)
    • 9 - JSON Handling and Response Formatting with FastAPI.mp4 (65.0 MB)
    4 - Creating Microservices with Flask
    • 10 - Building a Simple Service with Flask.mp4 (37.2 MB)
    • 11 - Handling HTTP Methods with Flask.mp4 (63.4 MB)
    5 - Containerizing the Microservice with Docker
    • 12 - Introduction to Docker and Containers.mp4 (44.6 MB)
    • 13 - Writing a Dockerfile for the Microservice.mp4 (46.9 MB)
    • 14 - Building and Running the Docker Image.mp4 (41.8 MB)
    • 15 - Writing a Dockercompose for a microservice.mp4 (34.3 MB)
    6 - Interservice Communication
    • 16 - RESTful APIs for Synchronous Communication.mp4 (30.7 MB)
    • 17 - Asynchronous Communication with Message Queues eg RabbitMQ Kafka.mp4 (59.4 MB)
    • 18 - Implementing gRPC for Efficient Data Transfer.mp4 (47.9 MB)
    7 - Managing State and Data Persistence
    • 19 - Setting up a database with postgreSQL.mp4 (81.0 MB)
    • 20 - Connecting Microservices to Databases SQL NoSQL.mp4 (69.2 MB)
    • 21 - Implementing the Database Per Service Pattern.mp4 (55.3 MB)
    • 22 - Using Caching for Performance Optimization eg Redis.mp4 (66.0 MB)
    8 - Securing Microservices
    • 23 - Implementing Authentication and Authorization.mp4 (89.8 MB)
    • 24 - API Gateway for Centralized Security.mp4 (35.4 MB)
    • 25 - Secure Communication with HTTPS and SSLTLS.mp4 (75.5 MB)
    9 - Monitoring and Logging
    • 26 - Setting Up Logging with Python eg Logstash.mp4 (36.7 MB)
    • 27 - Monitoring Microservices with Prometheus and Grafana.mp4 (34.8 MB)
    • 28 - Distributed Tracing eg Jaeger for Debugging.mp4 (54.7 MB)
    • 29 - Managing pods and scaling services.mp4 (58.0 MB)
    • Bonus Resources.txt (0.1 KB)

Description

Python Microservices: Build, Scale, And Deploy Like A Pro!

https://WebToolTip.com

Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.82 GB | Duration: 4h 6m

Learn to build, secure, and scale Python microservices with FastAPI, Flask, Docker, and Kubernetes.

What you'll learn
Design scalable microservices using Python frameworks like FastAPI and Flask.
Build RESTful APIs with efficient data handling and endpoint design.
Containerize microservices using Docker and Docker Compose.
Implement interservice communication with REST, RabbitMQ, and gRPC.
Connect microservices to SQL and NoSQL databases with PostgreSQL.
Optimize microservices with caching solutions like Redis.
Secure APIs with authentication, HTTPS, and API gateways.
Monitor microservices with Prometheus, Grafana, and logging tools.
Orchestrate microservices deployments using Kubernetes.
Set up CI/CD pipelines for seamless microservices integration.

Requirements
Basic Python programming knowledge
A computer with minimum 8GB RAM
A computer with internet access
No prior microservices experience needed



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Udemy - Python Microservices - Build, Scale, And Deploy Like A Pro!

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1.8 GB
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Udemy - Python Microservices - Build, Scale, And Deploy Like A Pro!

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