DevOps to MLOps Bootcamp - Build & Deploy ML Systems End-to-End

LICENSE

z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/LICENSE

README.md

z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/README.md

007. End-to-End CI and CD Pipelines for ML App.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/007. End-to-End CI and CD Pipelines for ML App.mp4

001. Module Intro.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/001. Module Intro.mp4

002. GitOps Concepts.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/002. GitOps Concepts.en.srt

002. GitOps Concepts.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/002. GitOps Concepts.mp4

003. GitOps Principle 2 - Start Revision Controlling the Code.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/003. GitOps Principle 2 - Start Revision Controlling the Code.en.srt

003. GitOps Principle 2 - Start Revision Controlling the Code.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/003. GitOps Principle 2 - Start Revision Controlling the Code.mp4

004. GitOps Principle 4 - Setup an Agent - ArgoCD.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/004. GitOps Principle 4 - Setup an Agent - ArgoCD.en.srt

004. GitOps Principle 4 - Setup an Agent - ArgoCD.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/004. GitOps Principle 4 - Setup an Agent - ArgoCD.mp4

005. Overview of Argo Application CRD.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/005. Overview of Argo Application CRD.en.srt

005. Overview of Argo Application CRD.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/005. Overview of Argo Application CRD.mp4

006. Continuous Delivery with ArgoCD Applications.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/006. Continuous Delivery with ArgoCD Applications.en.srt

006. Continuous Delivery with ArgoCD Applications.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/006. Continuous Delivery with ArgoCD Applications.mp4

007. End-to-End CI and CD Pipelines for ML App.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/007. End-to-End CI and CD Pipelines for ML App.en.srt

008. Summary.en.srt

Chapter 8 GitOps Based Deployments for ML LLM Apps/008. Summary.en.srt

008. Summary.mp4

Chapter 8 GitOps Based Deployments for ML LLM Apps/008. Summary.mp4

002. What is MLOps.en.srt

Chapter 1 Introduction to MLOps/002. What is MLOps.en.srt

002. What is MLOps.mp4

Chapter 1 Introduction to MLOps/002. What is MLOps.mp4

003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.en.srt

Chapter 1 Introduction to MLOps/003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.en.srt

003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4

Chapter 1 Introduction to MLOps/003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4

004. Comparing Three Approaches to AI.en.srt

Chapter 1 Introduction to MLOps/004. Comparing Three Approaches to AI.en.srt

004. Comparing Three Approaches to AI.mp4

Chapter 1 Introduction to MLOps/004. Comparing Three Approaches to AI.mp4

005. MLOps Case Studies Learning from the Pioneers.en.srt

Chapter 1 Introduction to MLOps/005. MLOps Case Studies Learning from the Pioneers.en.srt

005. MLOps Case Studies Learning from the Pioneers.mp4

Chapter 1 Introduction to MLOps/005. MLOps Case Studies Learning from the Pioneers.mp4

006. Comparing DevOps vs MLOps.en.srt

Chapter 1 Introduction to MLOps/006. Comparing DevOps vs MLOps.en.srt

006. Comparing DevOps vs MLOps.mp4

Chapter 1 Introduction to MLOps/006. Comparing DevOps vs MLOps.mp4

007. Emergence of MLOps Engineer.en.srt

Chapter 1 Introduction to MLOps/007. Emergence of MLOps Engineer.en.srt

007. Emergence of MLOps Engineer.mp4

Chapter 1 Introduction to MLOps/007. Emergence of MLOps Engineer.mp4

001. Course Introduction.mp4

Chapter 1 Introduction to MLOps/001. Course Introduction.mp4

001. Course Introduction.en.srt

Chapter 1 Introduction to MLOps/001. Course Introduction.en.srt

001. Module Intro.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/001. Module Intro.mp4

002. Use Case House Price Predictor Regression.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/002. Use Case House Price Predictor Regression.en.srt

002. Use Case House Price Predictor Regression.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/002. Use Case House Price Predictor Regression.mp4

003. Understanding End to End ML Practices and MLOps.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/003. Understanding End to End ML Practices and MLOps.en.srt

003. Understanding End to End ML Practices and MLOps.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/003. Understanding End to End ML Practices and MLOps.mp4

004. Environment Setup Overview.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/004. Environment Setup Overview.en.srt

004. Environment Setup Overview.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/004. Environment Setup Overview.mp4

005. Setting up Docker Podman with Compose.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/005. Setting up Docker Podman with Compose.en.srt

005. Setting up Docker Podman with Compose.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/005. Setting up Docker Podman with Compose.mp4

006. Launching MLflow for Experiment Tracking.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/006. Launching MLflow for Experiment Tracking.en.srt

006. Launching MLflow for Experiment Tracking.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/006. Launching MLflow for Experiment Tracking.mp4

007. Understanding the Project Directory and Scaffold.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/007. Understanding the Project Directory and Scaffold.en.srt

007. Understanding the Project Directory and Scaffold.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/007. Understanding the Project Directory and Scaffold.mp4

008. Setting up Python Virtual Environment with UV.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/008. Setting up Python Virtual Environment with UV.en.srt

008. Setting up Python Virtual Environment with UV.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/008. Setting up Python Virtual Environment with UV.mp4

009. Working with Jupyter Notebooks.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/009. Working with Jupyter Notebooks.en.srt

009. Working with Jupyter Notebooks.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/009. Working with Jupyter Notebooks.mp4

010. Summary.en.srt

Chapter 2 Getting Started with the Use Case and Environment Setup/010. Summary.en.srt

010. Summary.mp4

Chapter 2 Getting Started with the Use Case and Environment Setup/010. Summary.mp4

001. Module Intro.en.srt

Chapter 3 From Raw Data to Models/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 3 From Raw Data to Models/001. Module Intro.mp4

002. Learning Data Engineering.en.srt

Chapter 3 From Raw Data to Models/002. Learning Data Engineering.en.srt

002. Learning Data Engineering.mp4

Chapter 3 From Raw Data to Models/002. Learning Data Engineering.mp4

003. Experimental Data Analysis.en.srt

Chapter 3 From Raw Data to Models/003. Experimental Data Analysis.en.srt

003. Experimental Data Analysis.mp4

Chapter 3 From Raw Data to Models/003. Experimental Data Analysis.mp4

004. Understanding Feature Engineering Concepts.en.srt

Chapter 3 From Raw Data to Models/004. Understanding Feature Engineering Concepts.en.srt

004. Understanding Feature Engineering Concepts.mp4

Chapter 3 From Raw Data to Models/004. Understanding Feature Engineering Concepts.mp4

005. Building New Features for House Price Predictor.en.srt

Chapter 3 From Raw Data to Models/005. Building New Features for House Price Predictor.en.srt

005. Building New Features for House Price Predictor.mp4

Chapter 3 From Raw Data to Models/005. Building New Features for House Price Predictor.mp4

006. Preparing for Model Experimentation.en.srt

Chapter 3 From Raw Data to Models/006. Preparing for Model Experimentation.en.srt

006. Preparing for Model Experimentation.mp4

Chapter 3 From Raw Data to Models/006. Preparing for Model Experimentation.mp4

007. Data Splitting with x train, y train, x test, y test.en.srt

Chapter 3 From Raw Data to Models/007. Data Splitting with x train, y train, x test, y test.en.srt

007. Data Splitting with x train, y train, x test, y test.mp4

Chapter 3 From Raw Data to Models/007. Data Splitting with x train, y train, x test, y test.mp4

008. Defining Algorithms and Hyperparameter Grids.en.srt

Chapter 3 From Raw Data to Models/008. Defining Algorithms and Hyperparameter Grids.en.srt

008. Defining Algorithms and Hyperparameter Grids.mp4

Chapter 3 From Raw Data to Models/008. Defining Algorithms and Hyperparameter Grids.mp4

009. Running Model Experiments to Find the Best Model and Hyperparameters.en.srt

Chapter 3 From Raw Data to Models/009. Running Model Experiments to Find the Best Model and Hyperparameters.en.srt

009. Running Model Experiments to Find the Best Model and Hyperparameters.mp4

Chapter 3 From Raw Data to Models/009. Running Model Experiments to Find the Best Model and Hyperparameters.mp4

010. Module Summary.en.srt

Chapter 3 From Raw Data to Models/010. Module Summary.en.srt

010. Module Summary.mp4

Chapter 3 From Raw Data to Models/010. Module Summary.mp4

001. Module Intro.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/001. Module Intro.mp4

002. Handover from Data Scientist to ML Engineer MLOps.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/002. Handover from Data Scientist to ML Engineer MLOps.en.srt

002. Handover from Data Scientist to ML Engineer MLOps.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/002. Handover from Data Scientist to ML Engineer MLOps.mp4

003. Running Feature Engineering and Preprocessing Jobs.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/003. Running Feature Engineering and Preprocessing Jobs.en.srt

003. Running Feature Engineering and Preprocessing Jobs.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/003. Running Feature Engineering and Preprocessing Jobs.mp4

004. Building and Training Final Model with Configs from Da.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/004. Building and Training Final Model with Configs from Da.mp4

004. Building and Training Final Model with Configs from Data Scientists.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/004. Building and Training Final Model with Configs from Data Scientists.en.srt

005. Wrapping the Model with FastAPI with Streamlit Client .mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/005. Wrapping the Model with FastAPI with Streamlit Client .mp4

005. Wrapping the Model with FastAPI with Streamlit Client Apps.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/005. Wrapping the Model with FastAPI with Streamlit Client Apps.en.srt

006. Writing Dockerfile to Package Model with FastAPI Wrapp.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/006. Writing Dockerfile to Package Model with FastAPI Wrapp.mp4

006. Writing Dockerfile to Package Model with FastAPI Wrapper.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/006. Writing Dockerfile to Package Model with FastAPI Wrapper.en.srt

007. Debugging and Fixing Image Failures, Launch and Valida.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/007. Debugging and Fixing Image Failures, Launch and Valida.mp4

007. Debugging and Fixing Image Failures, Launch and Validate FastAPI.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/007. Debugging and Fixing Image Failures, Launch and Validate FastAPI.en.srt

008. Packaging and Testing Streamlit App.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/008. Packaging and Testing Streamlit App.en.srt

008. Packaging and Testing Streamlit App.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/008. Packaging and Testing Streamlit App.mp4

009. Packaging and Model Serving Infra with Docker Compose.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/009. Packaging and Model Serving Infra with Docker Compose.en.srt

009. Packaging and Model Serving Infra with Docker Compose.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/009. Packaging and Model Serving Infra with Docker Compose.mp4

010. Summary.en.srt

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/010. Summary.en.srt

010. Summary.mp4

Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/010. Summary.mp4

001. Module Intro.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/001. Module Intro.mp4

002. DAGs, GitHub Actions and our MLOps CI Workflow.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/002. DAGs, GitHub Actions and our MLOps CI Workflow.en.srt

002. DAGs, GitHub Actions and our MLOps CI Workflow.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/002. DAGs, GitHub Actions and our MLOps CI Workflow.mp4

003. Understanding GitHub Actions Syntax.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/003. Understanding GitHub Actions Syntax.en.srt

003. Understanding GitHub Actions Syntax.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/003. Understanding GitHub Actions Syntax.mp4

004. Writing and Executing Our First GitHub Actions Workflow.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/004. Writing and Executing Our First GitHub Actions Workflow.en.srt

004. Writing and Executing Our First GitHub Actions Workflow.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/004. Writing and Executing Our First GitHub Actions Workflow.mp4

005. Adding Data and Feature Engineering Steps with Model Training.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/005. Adding Data and Feature Engineering Steps with Model Training.en.srt

005. Adding Data and Feature Engineering Steps with Model Training.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/005. Adding Data and Feature Engineering Steps with Model Training.mp4

006. Model Training Step with MLFlow for Tracking.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/006. Model Training Step with MLFlow for Tracking.en.srt

006. Model Training Step with MLFlow for Tracking.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/006. Model Training Step with MLFlow for Tracking.mp4

007. Adding Image Build and Publish Step with Docker.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/007. Adding Image Build and Publish Step with Docker.en.srt

007. Adding Image Build and Publish Step with Docker.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/007. Adding Image Build and Publish Step with Docker.mp4

008. Configuring Registry Token and Publishing Image to DockerHub.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/008. Configuring Registry Token and Publishing Image to DockerHub.en.srt

008. Configuring Registry Token and Publishing Image to DockerHub.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/008. Configuring Registry Token and Publishing Image to DockerHub.mp4

009. Modular, Multi-Stage MLOps CI Workflow Pipeline.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/009. Modular, Multi-Stage MLOps CI Workflow Pipeline.en.srt

009. Modular, Multi-Stage MLOps CI Workflow Pipeline.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/009. Modular, Multi-Stage MLOps CI Workflow Pipeline.mp4

010. Summary.en.srt

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/010. Summary.en.srt

010. Summary.mp4

Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/010. Summary.mp4

001. Module Intro.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/001. Module Intro.mp4

002. Designing Scalable Infrastructure for Model Inference.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/002. Designing Scalable Infrastructure for Model Inference.en.srt

002. Designing Scalable Infrastructure for Model Inference.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/002. Designing Scalable Infrastructure for Model Inference.mp4

003. Introduction to Kubernetes for Machine Learning.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/003. Introduction to Kubernetes for Machine Learning.en.srt

003. Introduction to Kubernetes for Machine Learning.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/003. Introduction to Kubernetes for Machine Learning.mp4

004. Kubernetes Core Concepts Pods, Deployments and Services.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/004. Kubernetes Core Concepts Pods, Deployments and Services.en.srt

004. Kubernetes Core Concepts Pods, Deployments and Services.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/004. Kubernetes Core Concepts Pods, Deployments and Services.mp4

005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.en.srt

005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.mp4

006. Deploying Streamlit Frontend App with Kubernetes.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/006. Deploying Streamlit Frontend App with Kubernetes.en.srt

006. Deploying Streamlit Frontend App with Kubernetes.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/006. Deploying Streamlit Frontend App with Kubernetes.mp4

007. Exposing the Streamlit App with Kubernetes NodePort Service.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/007. Exposing the Streamlit App with Kubernetes NodePort Service.en.srt

007. Exposing the Streamlit App with Kubernetes NodePort Service.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/007. Exposing the Streamlit App with Kubernetes NodePort Service.mp4

008. Creating Deployment & Service for the Model Wrapped in FastAPI.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/008. Creating Deployment & Service for the Model Wrapped in FastAPI.en.srt

008. Creating Deployment & Service for the Model Wrapped in FastAPI.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/008. Creating Deployment & Service for the Model Wrapped in FastAPI.mp4

009. Connecting Streamlit with Model using Kubernetes Native DNS Bas.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/009. Connecting Streamlit with Model using Kubernetes Native DNS Bas.mp4

009. Connecting Streamlit with Model using Kubernetes Native DNS Based Service Discovery.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/009. Connecting Streamlit with Model using Kubernetes Native DNS Based Service Discovery.en.srt

010. Easy Way to Generate Kubernetes Manifests and YAML.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/010. Easy Way to Generate Kubernetes Manifests and YAML.en.srt

010. Easy Way to Generate Kubernetes Manifests and YAML.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/010. Easy Way to Generate Kubernetes Manifests and YAML.mp4

011. Summary.en.srt

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/011. Summary.en.srt

011. Summary.mp4

Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/011. Summary.mp4

001. Module Intro.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/001. Module Intro.en.srt

001. Module Intro.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/001. Module Intro.mp4

002. Project Spec.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/002. Project Spec.en.srt

002. Project Spec.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/002. Project Spec.mp4

003. Installing Prometheus and Grafana with Helm.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/003. Installing Prometheus and Grafana with Helm.en.srt

003. Installing Prometheus and Grafana with Helm.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/003. Installing Prometheus and Grafana with Helm.mp4

004. Exploring Monitoring Metrics with Grafana and Prometheus.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/004. Exploring Monitoring Metrics with Grafana and Prometheus.en.srt

004. Exploring Monitoring Metrics with Grafana and Prometheus.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/004. Exploring Monitoring Metrics with Grafana and Prometheus.mp4

005. Adding Instrumentation for FastAPI along with Custom Dashboard.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/005. Adding Instrumentation for FastAPI along with Custom Dashboard.en.srt

005. Adding Instrumentation for FastAPI along with Custom Dashboard.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/005. Adding Instrumentation for FastAPI along with Custom Dashboard.mp4

006. Automatic Capacity Scaling Concepts.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/006. Automatic Capacity Scaling Concepts.en.srt

006. Automatic Capacity Scaling Concepts.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/006. Automatic Capacity Scaling Concepts.mp4

007. Installing KEDA and Configuring Resource Spec.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/007. Installing KEDA and Configuring Resource Spec.en.srt

007. Installing KEDA and Configuring Resource Spec.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/007. Installing KEDA and Configuring Resource Spec.mp4

008. Configuring Scaled Objects with KEDA.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/008. Configuring Scaled Objects with KEDA.en.srt

008. Configuring Scaled Objects with KEDA.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/008. Configuring Scaled Objects with KEDA.mp4

009. Getting Started with Load Testing Model Inference.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/009. Getting Started with Load Testing Model Inference.en.srt

009. Getting Started with Load Testing Model Inference.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/009. Getting Started with Load Testing Model Inference.mp4

010. AI Based Troubleshooting Monitoring with ChatGPT.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/010. AI Based Troubleshooting Monitoring with ChatGPT.en.srt

010. AI Based Troubleshooting Monitoring with ChatGPT.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/010. AI Based Troubleshooting Monitoring with ChatGPT.mp4

011. Running Load Test and Analyzing Autoscaling.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/011. Running Load Test and Analyzing Autoscaling.en.srt

011. Running Load Test and Analyzing Autoscaling.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/011. Running Load Test and Analyzing Autoscaling.mp4

012. CPU Based Auto Scaling with KEDA.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/012. CPU Based Auto Scaling with KEDA.en.srt

012. CPU Based Auto Scaling with KEDA.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/012. CPU Based Auto Scaling with KEDA.mp4

013. Adding a Vertical Pod Autoscaler (VPA).en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/013. Adding a Vertical Pod Autoscaler (VPA).en.srt

013. Adding a Vertical Pod Autoscaler (VPA).mp4

Chapter 7 Monitoring and Autoscaling an ML Model/013. Adding a Vertical Pod Autoscaler (VPA).mp4

014. Summary.en.srt

Chapter 7 Monitoring and Autoscaling an ML Model/014. Summary.en.srt

014. Summary.mp4

Chapter 7 Monitoring and Autoscaling an ML Model/014. Summary.mp4