LLMOps
AI Infrastructure
LLM Serving
Explore the foundational AI infrastructure required for robust, scalable, and cost-efficient LLM serving, covering hardware, software, and …
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LLM Inference
GPU Optimization
Learn how to build, optimize, and scale robust LLM inference pipelines. Explore pre-processing, model serving, post-processing, GPU optimization …
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Scaling
Kubernetes
Explore strategies for scaling Large Language Model (LLM) deployments, from managing single instances to orchestrating resilient, high-throughput …
ACCESS_FILE >>Jenkins
Maven
Gradle
Build a fully-automated CI/CD pipeline for Java web applications using Jenkins, Maven, and Docker.
ACCESS_FILE >>Microservices
Sidecar Pattern
Distributed Systems
Explore the Sidecar Pattern: Learn how to enhance microservices with auxiliary processes for common tasks like logging, monitoring, and security, …
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LLM Inference
Model Routing
Master dynamic model routing and A/B testing strategies for LLMs to optimize performance, cost, and user experience in production environments.
ACCESS_FILE >>Kubernetes
Containerization
Orchestration
Learn Kubernetes core concepts and how to manage containerized applications at scale.
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Monitoring
Observability
Master monitoring and observability for production LLMs. Learn key metrics, tools like Prometheus and Grafana, and strategies for detecting …
ACCESS_FILE >>Kubernetes
Scaling
Configuration
Learn how to scale applications automatically, manage configurations, and protect secrets in Kubernetes.
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Cost Optimization
GPU
Learn how to significantly reduce the operational costs of Large Language Model (LLM) inference by mastering advanced techniques like GPU …
ACCESS_FILE >>Trigger.dev
Self-Hosting
Docker
Explore the intricacies of self-hosting Trigger.dev, covering core architecture, local Docker Compose setup, and essential production deployment …
ACCESS_FILE >>SpaceTimeDB
Scaling
Deployment
Dive deep into scaling SpaceTimeDB applications. Explore distributed architectures, sharding, replication, and modern deployment strategies using …
ACCESS_FILE >>Prompt Engineering
Agentic AI
LLMs
Take your AI agents from prototype to production. Learn critical strategies for scaling, optimizing costs, and ensuring ethical and responsible …
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RAG
LLM
Learn how to build a robust, scalable, and cost-efficient Retrieval Augmented Generation (RAG) system using LLMOps best practices for production …
ACCESS_FILE >>Docker
Kubernetes
Containerization
Learn how to deploy and scale AI agents in production using Docker and Kubernetes.
ACCESS_FILE >>Kubernetes
Deployment
Multi-Service
Learn how to deploy a multi-service application to Kubernetes, including understanding YAML configurations and service communication.
ACCESS_FILE >>MetaDataHub
Airflow
Docker
Learn how to deploy a production-ready data workflow using MetaDataHub, Docker, and Apache Airflow.
ACCESS_FILE >>kubernetes
release
version
Kubernetes 1.36 released. MutatingAdmissionPolicy promoted to GA (v1) and enabled by default, enhancing admission control security.. Finer-grained …
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LLM
AI Infrastructure
Learn to deploy and manage Large Language Models (LLMs) in production. This guide covers inference pipelines, model routing, caching, GPU …
ACCESS_FILE >>Linux
Git
Docker
A comprehensive guide to mastering DevOps, covering tools like Linux, Git, Docker, and Kubernetes.
ACCESS_FILE >>Docker
Kubernetes
CI/CD
A comprehensive guide to mastering Docker, from zero to production.
ACCESS_FILE >>Docker
Swarm
Orchestration
Learn how to set up and manage a Docker Swarm for container orchestration.
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Troubleshooting
Debugging
Learn how to effectively troubleshoot and debug Docker containers, images, networks, and volumes.
ACCESS_FILE >>Docker
Kubernetes
Swarm
Learn how to manage containerized applications at scale with Docker orchestration platforms like Kubernetes and Swarm.
ACCESS_FILE >>Helm
Kubernetes
AKS
Learn to deploy, manage, and scale applications using Helm, Kubernetes, and AKS.
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