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Introduction to the course
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What is RabbitMQ, Why do you need it?
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How RabbitMQ works on a high level
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Clients we will be using: .Net & Python
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Erlang: the power behind RabbitMQ
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Setup for the course: Docker container
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Management UI for visualization of RabbitMQ
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Visualize Message Flow in RabbitMQ
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Message Flow: Direct Exchange
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Message Flow: Topic Exchange
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Message Publishing: Exchanges
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Connect to a Rabbit: Connections and Channels
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Vhost and logical seperations
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Create a Consumer with RabbitMQ.Client
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Create a Publisher with RabbitMQ.Client
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An easier way to use the Rabbit Client for .Net
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Summary of Server basics
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Close look at queues: Declare and Bind
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Declare and Bind queues with the pika library
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Queue properties: Durable, Auto-delete, exclusive
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Queue properties 2: Advanced properties and their use
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Message TTL and Queue Expiry with RabbitMQ.Client
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MessagePatterns explained
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MessagePattern: RPC or Request Response
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Message Reliability explained
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Message delivery guaranteed: Publisher confirms (.Net)
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Message consumption guaranteed: Consumer Acks (Python)
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Summary closer look at Messaging
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Intro to vhosts and access control
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Access Control: Set and use permissions
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Plugins in RabbitMQ
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What are Policies
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CLI for RabbitMQ
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Manage RabbitMQ with the HTTP API
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Configuration of the RabbitMQ Server
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Configure via Configuration Files
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Configure with Environment Variables
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Summary Rabbitmq Management
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Intro to Optimization of RabbitMQ
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Tools for Optimization: Built in Clustering
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How to create a simple local cluster
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High Availability: Replicate Queues with mirroring
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High availability: Shovels
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Implementing a Dynamic Shovel from management UI
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High Throughput with Clustering
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Summary Performance and High availability
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Monitoring and Logging with RabbitMQ
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Enable Tracing Plugin for debugging
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Logging with Queues
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Use the HTTP REST API for Health checks
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Summary Monitoring and Logging
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Python config watchdog
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Dead Letter Exchange Example
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Better RPC with RabbitMQ - Concepts
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Better RPC with pika (python)
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UseCases Introduction
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Use Case:Load balancer explained
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Classic example: Load balancing with monitoring of Queue levels and auto scaling
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Intro: Temporary BLOB Storage with Redis
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Temporary BLOB Storage with Redis - Code
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Intro to the application: What we are building
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Setup the solution structure
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Setup the Middleware: Messages and Bus Library
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Setup the Consumer with access to the database
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Setup RabbitMQ and the database itself
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Setup the Rest API and do a first integration of the system
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Create the Database access code and Insert the Order
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Integrate the full system