RabbitMQ on Kubernetes

Introduction to RabbitMQ and then Deploying RabbitMQ on Kubernetes, Introducing Importance of Event Driven Architecture and How to Achieve It.

Fundamentals:
- Sync vs Async messaging
- Producers and consumers
- Messaging Brokers

Messaging patterns:
- Pub/Sub
- Worker queues

Benefits of messaging systems:
- Scaling
- Batching
- Architecture decoupling
- Reliability and Persistence

Features of RabbitMQ
- Ease of use
- Delivery Acknowledgement and consumer confirms
- Distributed network
- Tools + plugins
- RabbitMQ Cluster Kubernetes Operator

Workshop:
- Install Glasskube
- Install the RabbitMQ cluster operator
- Configure a RabbitMQ Instance
- Access the RabbitMQ dashboard on Kubernetes
- Build a RabbitMQ cluster

Starting with Next.js and Kubernetes

This presentation will examine how a Next.js application can be deployed to a Kubernetes cluster. I do not intend to explain how to develop a Next.js application but I do start from the beginning.

Using MongoDB Clustered Collection to Boost Query Performance

Sessions Include:
- Overview of MongoDB Clustered Collections
- Normal Collections vs Clustered Collections
- Query Performance in Clustered Collection
- Matrices for Comparing Efficiency
- Where to Use Clustered Collections
- Live Coding Example on MongoDB Atlas

Real Life Applications of Generative AI - LLMs and GPT

Session Include:
- Define Generative AI
- Explain How Generative AI Works
- Describe Generative AI Model Types
- Generative AI Application - LLM and GPT
- Real-Life Applications of Generative AI
- Vertex AI and Gen AI Sudio
- Working Code in Bard

Next.JS - Performance Optimization Techniques With Code Examples

(1) Server-Side Rendering (SSR) and Static Site Generation (SSG)
(2) Code Splitting and Dynamic Imports
(3) Image Optimization
(4) Prefetching Pages
(5) Caching Strategies
(6) Optmize Fonts
(7) Removing Unused CSS

Snowflake Toronto, Toronto JS