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Премиум
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    Introduction
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    Cloud Types: Private/On-premises, Public and Hybrid Cloud
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    Multi-Cloud Strategy
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    Evolution of Cloud Platforms: Cloud Hosting Models: IaaS - CaaS - PaaS - FaaS
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    Cloud-Native Application Architecture
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    Evolution of Application Architectures: Monolithic, Microservices, Serverless
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    Deep Dive into Cloud-Native Pillars - Course Section Flow
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    Way of Learning - The Course Flow
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    Hands-on Projects
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    How to Follow the Course & Course Slides
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    What is Cloud-Native ?
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    Cloud Native Definition from CNCF
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    What Is Cloud Native Architecture ?
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    Cloud Native Architecture Design Principles and Key Characteristics
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    Benefits of Cloud-Native Architectures
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    Challenges of Cloud-Native Architectures
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    The Cloud Path of Legacy Applications - Modernization of Legacy Apps with Cloud
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    Introduction - Cloud-Native Fundamentals - Conway's Law and 12 Factor App
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    The Conway's Law
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    The impact of Conway's Law on Cloud-Native Microservices
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    12-Factors - The Twelve-Factor Application
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    I. Codebase - The Twelve-Factor Application
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    II. Dependencies - The Twelve-Factor Application
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    III. Config - The Twelve-Factor Application
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    IV. Backing services - The Twelve-Factor Application
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    V. Build, release, run - The Twelve-Factor Application
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    VI. Processes - The Twelve-Factor Application
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    VII. Port binding - The Twelve-Factor Application
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    VIII. Concurrency - The Twelve-Factor Application
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    IX. Disposability - The Twelve-Factor Application
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    X. Dev/prod parity - The Twelve-Factor Application
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    XI. Logs - The Twelve-Factor Application
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    XII. Admin processes - The Twelve-Factor Application
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    Introduction - Cloud-Native Deep Dive - Landscape, TrialMap and Pillars
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    Cloud Native Computing Foundation (CNCF)
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    Quick Tour on Cloud Native Computing Foundation (CNCF)
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    What Is the CNCF Landscape ?
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    Deep Dive into CNCF Landscape Categories
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    Complicated with CNCF Projects ? - Funny Break
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    CNCF Cloud Native Trail Map
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    The Four Pillars of Cloud-Native Applications
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    All Cloud Native Pillars - Extended for Course Structure
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    Introduction to Pillar1: Microservices
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    12-Factor App and Cloud-native Trial Map - Microservices
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    Evolution of Architectures; Monolithic, Microservices, Serverless
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    What are Microservices ?
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    What is Microservices Architecture ?
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    Microservices Characteristics
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    Benefits of Microservices Architecture
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    Challenges of Microservices Architecture
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    When to Use Microservices Architecture - Best Practices
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    When Not to Use Microservices - Anti-Patterns of Microservices
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    Monolithic vs Microservices Architecture Comparison
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    The Database-per-Service Pattern - Polygot Persistence
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    Explore: Languages and Frameworks for Microservices
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    Explore: Cloud-Native Microservices Frameworks
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    Explore: Cloud Managed and Serverless Microservices Frameworks
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    Design: Cloud-Native Microservices Architecture - Way of Learning
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    Understand E-Commerce Domain: Analysis and Decompose E-Commerce Microservices
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    Identifying and Decomposing Microservices for E-Commerce Domain
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    Design: Cloud-Native E-commerce Microservices Architecture
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    Choose Microservices Language and Frameworks for Cloud-Native Microservices
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    Reference Project: .Net Microservices - Cloud-Native E-commerce App
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    Reference Project: AWS Serverless Microservices - Cloud-Native E-commerce App
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    Introduction - Hands-on: Develop a RESTful Microservices with CRUD endpoints
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    Primary Programming Languages and Frameworks among Microservices Developers
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    Why .Net for Microservices Development ?
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    Install Prerequisites
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    Developing Product Microservices
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    Run the Application - Product Microservices
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    Create Product Microservices with AWS Serverless Services: AWS Lambda, API Gw
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    Hands-on: Create Product Microservices with AWS Lambda, API Gateway and DynamoDB
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    Introduction to Pillar2: Containers
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    12-Factor App and Cloud-native Trial Map - Containers
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    Evolution of Cloud Platforms: Cloud Hosting Models: IaaS - CaaS - PaaS - FaaS
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    What are Container ?
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    Why use Containers for developing Cloud-native Microservices ?
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    Best Practices of using Containers
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    How Containers Works ?
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    What is Container Runtimes ?
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    What is a Container Registry ?
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    Containerization: Running Microservices in Containers
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    What is Docker ?
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    Docker Containers, Images, and Registries
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    Docker Architecture
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    Explore Container tools: Container Runtimes, Registries, Deployments
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    Explore: Container Registries
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    Explore: Container Deployment Options
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    Explore: Cloud Container Services: Abstraction Level of Container Deployments
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    Explore The Most Popular Container Images: Redis, Postgres, ElasticSearch, Kafka
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    Design: Cloud-Native E-commerce Microservices Architecture with Containers
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    Reference Project: .Net Microservices - Cloud-Native E-commerce App
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    Build and Run Microservices with Docker Compose
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    Introduction - Hands-on: Containerize .Net Microservices with Docker
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    Install Prerequisites
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    Write Dockerfile for Product Microservices
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    Create Docker Image for Product Microservices
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    Run Docker Image for Product Microservices
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    Push Docker Image to Docker Hub for Product Microservices
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    Deploy Container to Cloud: AWS Apprunner, Google Cloud Run, Azure Container Inst
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    Prepare your AWS Environment: AWS Account, IAM User, Programmatic Access Key
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    Download and Configure AWS CLI for Programmatic Access
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    Hands-on: Pushing Docker Image to Amazon Elastic Container Registry (ECR)
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    Deploy ProductService Container to AWS AppRunner
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    IMPORTANT - CLEAR AWS RESOURCES
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    Introduction to Container Orchestrators
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    12-Factor App and Cloud-native Trial Map - Container Orchestrators
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    Cloud-native Trial Map - Container Orchestrators
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    Why need Orchestrator for Containers ?
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    What are Container Orchestrators ?
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    Container Orchestrators Usage for Cloud-native Microservices
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    Best Practices of using Container Orchestrators
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    How Container Orchestrators works ?
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    Explore: Container Orchestrator tools: Kubernetes, Docker Swarm, Apache Mesos
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    Explore: Cloud Container Orchestrator tools: EKS, GKS, AKS, Red Hat OpenShift
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    Datadog Container Reports: Kubernetes is defacto standard for Containers
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    Design: Cloud-Native E-commerce Microservices Architecture with Container Orch
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    Design with Managed Kubernetes Services - Cloud-Native E-commerce Microservices
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    Introduction - Deep Dive into Kubernetes - Defacto Standart for Containers
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    CNCF 2022 Annual Survey - The year cloud native became the new normal
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    Kubernetes is Emerging as the 'Operating System' of the Cloud
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    Cloud-Native Landscape and Trial Map - Kubernetes: Container Orchestrator
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    What Is Kubernetes and why we use them for microservices deployments ?
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    Uses Cases of Kubernetes
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    Kubernetes Architecture
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    Kubernetes Components: Pods, ReplicaSet, Deployments, Service
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    How Kubernetes Works
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    Declarative and Imperative way of Kubernetes
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    Introduction - Hands-on: Deploy Microservices to Kubernetes
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    Install Minikube and kubectl
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    Getting Started with Minikube
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    ASP.NET Container Expose Port - CONFIGURE TO LISTEN - 0.0.0.0:8080
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    Create a Pod
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    Apply a Pod in K8s
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    Why Should not Create Pod on Kubernetes ?
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    Create a Deployment on Kubernetes
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    Apply a Deployment in K8s
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    Create a Service on K8s
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    Apply a Service in K8s
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    Best Practice of Creating Deployment and Services for Microservices
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    Create Ingress for External Access of Product Microservice
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    Create ConfigMaps and Secrets for Product Microservice
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    Scale a Container Instance in Kubernetes
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    Kubernetes Deploy and Service with Minikube
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    Clean up resources
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    Introduction - Helm : Managing Kubernetes Applications with Helm
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    Cloud-Native Landscape and Trial Map - Helm: Managing Kubernetes Applications
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    What is Helm and Helm Charts ?
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    Benefits of Helm Charts and Artifact Hub for Centralized Repository
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    How Helm Charts is works ?
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    Understanding Helm Chart Structure
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    Install and Use Helm
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    Getting Started with Helm: Install and Launch Wordpress Helm from ArtifactHub
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    Hands-on Lab: Deploy Product Microservices with Helm Charts
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    Introduction to Cloud-Native Communications
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    12-Factor App and Cloud-native Trial Map - Cloud-Native Communications
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    Cloud-native Trial Map - Cloud-Native Communications
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    Communications in Cloud-Native Architectures
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    Microservices Communication Types: Synchronous or Asynchronous Communication
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    Microservices Communication Styles: Request-Driven or Event-Driven Architecture
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    Microservices Synchronous Communications and Best Practices
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    Designing HTTP based RESTful APIs for Microservices
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    gRPC: High Performance Remote Procedure Calls
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    How gRPC works ?
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    gRPC Usage in Microservices Communication
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    CN Communication Patterns: API Gateway Pattern
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    A Request Flow of API Gateway Pattern
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    CN Communication Patterns: Service Registry/Discovery Pattern
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    CN Communication Patterns: Sidecar Pattern
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    CN Communication Patterns: Service Mesh Pattern
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    Service Mesh Communication in Cloud-Native Microservices
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    Explore: CN Communication tools: Service Proxy (envoy), API Gateway(kong)
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    Explore: CN Communication tools: Service Proxy (envoy, nginx, haproxy)
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    Explore: CN Communication tools: API Gateway(kong, krakenD, kubeGateway)
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    Explore: CN Communication tools: Service Meshes (istio, linkerd)
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    Explore: Cloud Serverless Communication tools: AWS, Azure Service Proxy, API Gw
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    Service Meshes are still early and Istio dominates usage
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    Design: Cloud-Native E-commerce Microservices Architecture with Service Meshes
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    Design with Cloud Managed Services - AWS API Gateway, Service Mesh
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    Introduction Hands-on: Deploy Microservices to Kubernetes w/ Service Mesh Istio
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    What is Istio Service Mesh and How Istio Service Mesh works ?
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    Getting Started Hands-on - The Architecture with Istio and Envoy
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    Download and Install Istio Service Mesh onto Minikube K8s cluster
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    Install Istio
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    Deploy the Microservices Application
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    Open the Application to Outside Traffic with Istio Ingress Gateway
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    View the dashboard - Deploy the Kiali dashboard, along with Prometheus, Grafana
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    Analysis the Dashboard
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    Uninstall Istio Workloads
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    Introduction to Cloud-Native Backing Services: Databases, Caching,Message Broker
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    12-Factor App - Cloud-Native Backing Services
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    Cloud-native Trial Map - Cloud-Native Backing Services
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    Dynatrace Kubernetes Report - Kubernetes Growth Areas are Open Source Databases
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    Backing Services for Cloud-Native Microservices
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    Starting to CN Data Management, Caching, Message Brokers (K8s and Serverless)
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    Introduction to CN Data Management (K8s and Serverless Databases)
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    Cloud-native Trial Map – Backing Services: Databases
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    Database as a Service - DBaaS for Cloud-Native Microservices
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    Relational Databases
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    No-SQL Databases
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    NoSQL Databases Types - Document, Key-value, Graph-based, Column-based Databases
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    When to Use Relational Databases ?
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    When to Use No-SQL Databases ?
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    Best Practices When Choosing Data Store - Use Right Tool for Right Job
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    How to Choose a Database for Microservices
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    NewSQL Databases
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    Comparison with Relational, NoSQL and NewSQL Databases
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    The Rise of the Kubernetes Native Database and Architecture
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    Most Usage Databases in Kubernetes for Cloud-Native Apps
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    Explore: CN Databases: Horizontally Scalable Distributed Cloud-native Databases
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    Explore: Relational Databases: PostgreSQL, MySQL, Oracle, SQL Server
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    Explore: NoSQL Databases: MongoDB, Redis, Cassandra
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    Explore: NewSQL Kubernetes Database: Vitess, TiDB, TiKV, CockroachDB, YugabyteDB
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    Explore: Kubernetes Databases: YugabyteDB: The Scalable Cloud Native Database
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    Explore: CN Kubernetes Databases: Vitess: Scalable. Reliable. MySQL-compatible.
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    Explore: CN Kubernetes Databases: CockroachDB: A distributed SQL database built
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    Explore: Cloud Serverless Databases: Amazon DynamoDB, Azure CosmosDB, Google DB
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    Design: Cloud-Native E-commerce Microservices with Relational and NoSQL Database
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    Design: Cloud-Native E-commerce Microservices with NewSQL Kubernetes Databases
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    Design with Cloud Serverless Databases: AWS DynamoDB, Aurora DB, Azure CosmosDB
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    Introduction - Hands-on: Deploy CockroachDB in a Single Kubernetes Cluster
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    What is Kubernetes Operator and Why use Operators ?
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    Step 1. Start Kubernetes - minikube start
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    Step 2. Start CockroachDB - Deploy CockroachDB in a Single Kubernetes Cluster
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    Step 2.1 Start CockroachDB - Initialize the cluster - Apply the custom resource
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    Step 3. Use the built-in SQL client
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    Step 4. Access the DB Console
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    Step 5. Simulate node failure and node scales
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    Step 6. Stop the cluster
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    Introduction - Hands-on: Building RESTful Microservices with Serverless
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    What Is Amazon DynamoDB ?
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    Amazon DynamoDB Core Concepts - Tables, Items, Attributes, Indexes
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    Create a DynamoDB Table
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    Create a Lambda Function
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    Create an API Gateway
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    Test - RESTful Microservices with AWS Lambda, Api Gateway and DynamoDb
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    AWS Console microservice-http-endpoint Lambda Blueprint
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    Resource Cleanup
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    Introduction to CN Caching (K8s and Serverless Caching)
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    Cloud-native Trial Map – Backing Services: Caching
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    What is Caching ?
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    Types of Caching
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    Distributed Caching in Microservices
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    Cache Hit and Cache Miss
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    Caching Strategies in Distributed Caching for Microservices
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    Cache-Aside Pattern for Microservices
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    Best Practices of using Cache in Cloud-native Apps
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    Explore: CN Caching: Horizontally scalable Distributed Caches
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    Explore: CN Distributed Caches: Redis, Memcached, TiKV, etcd
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    Explore: Cloud Serverless Caches: Amazon ElastiCache, Azure Cache for Redis
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    Explore: Upstash Redis: Serverless fully managed globally distributed Redis
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    Design: Cloud-Native E-commerce Microservices with Distributed Caching
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    Design with Cloud Serverless Caches - AWS ElastiCache, Azure Cache for Redis
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    Introduction - Hands-on: Deploy Redis Cache in a Single Kubernetes Cluster
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    Hands-on: Deploy Redis Cache in a Single Kubernetes Cluster with Minikube
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    Start Redis - Deploying Redis Cluster in Kubernetes with Bitnami Helm Charts
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    Use the built-in Redis Client - Run Redis Commands on Redis Interactive Terminal
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    Simulate Redis Node Failure and Node Scales
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    Stop the cluster - Clear Resources
  • Урок 260. 00:01:52
    Hands-on: Create Cache Cluster with Amazon ElastiCache for Redis
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    Create Redis Cache Cluster with Amazon ElastiCache for Redis
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    Introduction to Cloud-Native Message Brokers (Async communication, event-driven)
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    Cloud-native Trial Map – Backing Services: Message Brokers
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    Microservices Asynchronous Communication
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    Benefits of Asynchronous Communication
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    Challenges of Asynchronous Communication
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    Fan-Out Publish/Subscribe Messaging Pattern
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    Topic-Queue Chaining & Load Balancing Pattern
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    Event-Driven Microservices Architecture
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    Real-time Processing and High Volume Events in Event-Driven Microservices
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    Event Hubs and Event Streaming in Event-Driven Microservices Architecture
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    Real-world Examples of Event-Driven Microservices Architecture
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    Explore: CN Message Broker: Horizontally Scalable Distributed
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    Explore: CN Message Brokers: Kafka, RabbitMQ, Redis Pub/Sub, cloudevents
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    What is Apache Kafka ?
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    Apache Kafka Use Cases
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    Kafka Components: Topic, Partitions, Offset and Replication Factor
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    What is RabbitMQ ?
  • Урок 279. 00:01:29
    RabbitMQ Components: Producer, Queue, Consumer, Message, Exchange, Binding, FIFO
  • Урок 280. 00:05:07
    Explore: Cloud Serverless Message Brokers: Amazon SNS, EventBridge, Azure Bus
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    Explore: Upstash Kafka: Message Broker and Memphis.dev for Event Streaming
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    Design: Cloud-Native E-commerce Microservices with Distributed Message Broker
  • Урок 283. 00:02:31
    Design: Event-Driven E-commerce Microservices Architecture with Event Hubs
  • Урок 284. 00:03:48
    Design with Cloud Serverless Message Brokers - Amazon SNS - EventBridge
  • Урок 285. 00:01:26
    Introduction - Hands-on: Deploy Kafka in Kubernetes Cluster with Minikube
  • Урок 286. 00:02:51
    Apache Kafka Cluster Architecture
  • Урок 287. 00:02:23
    Apache Kafka Core APIs
  • Урок 288. 00:02:14
    Hands-on: Deploy Kafka Message Broker in a Single Kubernetes Cluster w/ Minikube
  • Урок 289. 00:02:14
    Start Kafka - Deploying Kafka Cluster in Kubernetes with Bitnami Helm Charts
  • Урок 290. 00:03:52
    Use the built-in Kafka Client - Publish and Subscribe Topic with sending message
  • Урок 291. 00:03:47
    Simulate Kafka Node Failure and Node Scales
  • Урок 292. 00:02:31
    Stop the cluster - Clear Resources
  • Урок 293. 00:01:18
    Introduction Hands-on: Amazon SNS Notifications Topic Subscribe From AWS Lambda
  • Урок 294. 00:01:00
    Amazon SNS Features and Benefits
  • Урок 295. 00:01:52
    Amazon SNS Common Use Cases
  • Урок 296. 00:01:23
    Create Notification Amazon SNS topic
  • Урок 297. 00:02:27
    Create Lambda Function for Asnyc Invocations from Amazon SNS
  • Урок 298. 00:03:06
    Create Lambda Subscription to Amazon SNS topic
  • Урок 299. 00:03:10
    Develop Lambda function for incoming event from Amazon SNS topic
  • Урок 300. 00:01:48
    Publish Message from Amazon SNS
  • Урок 301. 00:00:36
    Clean up Resources
  • Урок 302. 00:01:39
    Introduction to Scalability: Kubernetes Horizontal Pod Autoscaler (HPA) and KEDA
  • Урок 303. 00:02:14
    12-Factor App - Cloud-Native Scalability
  • Урок 304. 00:01:39
    Cloud-native Trial Map - Cloud-Native Scalability
  • Урок 305. 00:01:32
    What is Scalability ?
  • Урок 306. 00:01:46
    Vertical Scaling - Scale up
  • Урок 307. 00:01:17
    Horizantal Scaling - Scale out
  • Урок 308. 00:04:48
    Scaling Cloud-native Applications in Kubernetes - Kubernetes Scalability Options
  • Урок 309. 00:01:30
    Best Practices of Scaling Cloud-native Applications in Kubernetes
  • Урок 310. 00:05:59
    KEDA Event-driven Autoscaling Cloud-native Applications in Kubernetes
  • Урок 311. 00:06:25
    Explore:CN Scalability tools: KEDA, Knative, Kubeless, Virtual Kubelet, OpenFunc
  • Урок 312. 00:03:17
    Explore: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps
  • Урок 313. 00:05:23
    Design: Cloud-Native E-commerce Microservices with Cloud-Native Scalability
  • Урок 314. 00:04:36
    Design: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps
  • Урок 315. 00:01:03
    Hands-on: Scale Kubernetes Pods (VPA,HPA,KEDA) on a Kubernetes Cluster Minikube
  • Урок 316. 00:07:19
    Step 1. Manually Horizontal and Vertical scaling pods into Kubernetes Cluster
  • Урок 317. 00:13:09
    Step 2. Horizontal Pod Autoscaler (HPA) to auto scale pods on a Kubernetes
  • Урок 318. 00:03:44
    Why needed Kubernetes Event-Driven Autoscaling (KEDA) instead of Horizontal Pod
  • Урок 319. 00:22:22
    Step 3. Kubernetes Event-Driven Autoscaling (KEDA) to auto scale pods on a K8s
  • Урок 320. 00:11:25
    Hands-on: Auto-scaling Spring Boot Microservices in Kubernetes with Prometheus
  • Урок 321. 00:04:19
    Introduction - Deploy on Cloud Serverless Kubernetes - AWS Fargate for EKS
  • Урок 322. 00:03:45
    Dynatrace Report: Kubernetes moved to the cloud in 2022
  • Урок 323. 00:03:25
    Datadog Report: Serverless Kubernetes grow for all major public clouds
  • Урок 324. 00:03:19
    AWS Compute Services: AWS App Runner, ECS, EKS, Fargate, AWS Lambda
  • Урок 325. 00:01:59
    Hands-on: Deploying Microservices on Amazon EKS Fargate
  • Урок 326. 00:04:20
    Step 1. Installing or updating eksctl to interact Kubernetes Cluster on EKS
  • Урок 327. 00:06:38
    Step 2. Create an EKS Cluster with Fargate using eksctl
  • Урок 328. 00:03:18
    Step 3. Deploy Nginx microservices on EKS Cluster w/ Fargate using eksctl
  • Урок 329. 00:03:43
    Expose Nginx Service on EKS Cluster w/ Fargate using eksctl
  • Урок 330. 00:04:18
    Remember Product Microservice
  • Урок 331. 00:06:17
    Step 4. Create an ECR repository and Push Docker Image to Container Registry
  • Урок 332. 00:07:47
    Step 5. Deploy Product microservices on EKS Cluster w/ Fargate using eksctl
  • Урок 333. 00:04:52
    AWS Fargate Auto-scale Deploy Product microservices on EKS Cluster
  • Урок 334. 00:06:55
    Clean Up Resources - IMPORTANT
  • Урок 335. 00:01:51
    Introduction to Pillar7: Devops, CI/CD, IaC and GitOps
  • Урок 336. 00:01:32
    12-Factor App and Cloud-native Trial Map - Devops CI/CD
  • Урок 337. 00:00:59
    Cloud-native Trial Map - Devops and CI/CD
  • Урок 338. 00:01:38
    Devops in Cloud-native Applications: Devops/DevSecOps, CI/CD, IaC, GitOps
  • Урок 339. 00:02:24
    What is DevOps ? How DevOps is Used in Cloud-Native Microservices ?
  • Урок 340. 00:02:17
    What is DevSecOps ? - Key Aspects of DevSecOps
  • Урок 341. 00:03:06
    DevOps Stages: Software Development and Deployment Lifecycle
  • Урок 342. 00:02:45
    Explore: DevOps Tools
  • Урок 343. 00:02:58
    What is CI/CD ? How CI/CD used in Cloud-native Microservices ?
  • Урок 344. 00:03:19
    CI/CD Pipeline Steps for Microservices Deployments
  • Урок 345. 00:03:12
    CI/CD Flow and Tools for Microservices Deployments
  • Урок 346. 00:02:26
    Deployment Strategies for Microservices: Blue-green, rolling and canary deploy
  • Урок 347. 00:01:48
    Explore: CI/CD Pipelines
  • Урок 348. 00:04:54
    Explore: CI/CD Pipelines: GitHub Actions, GitLab CI/CD, Jenkins X, CircleCI
  • Урок 349. 00:01:35
    What is GitHub Actions ?
  • Урок 350. 00:02:42
    How GitHub Actions work - Components of GitHub Actions
  • Урок 351. 00:06:30
    Deploy Microservices to Kubernetes with GitHub Actions
  • Урок 352. 00:03:25
    Explore: Cloud Serverless CI/CD Pipelines: Azure Pipelines, AWS CodePipeline
  • Урок 353. 00:02:31
    What is IaC ? How IaC used in Cloud-native Microservices ?
  • Урок 354. 00:02:18
    IaC usage in Cloud-native Microservices
  • Урок 355. 00:01:42
    Explore: IaC Tools
  • Урок 356. 00:04:47
    Explore: IaC Tools: Terraform, Ansible, Puppet, Chef, Pulumi
  • Урок 357. 00:02:38
    Explore: Terraform - Automate infrastructure on any cloud with Terraform
  • Урок 358. 00:03:38
    Terraform IaC Steps - How Terraform Works ?
  • Урок 359. 00:04:26
    Explore: Cloud Serverless IaC Tools: AWS CloudFormation, SAM, CDK,Azure Resource
  • Урок 360. 00:03:16
    What is GitOps ? How GitOps used in Cloud-native Microservices ?
  • Урок 361. 00:01:35
    CNCF 2022 Annual Survey - Organizations Favor GitOps
  • Урок 362. 00:02:13
    Key Principles of GitOps
  • Урок 363. 00:04:35
    How GitOps Works ? - Steps of GitOps workflow
  • Урок 364. 00:04:09
    GitOps Real-world Use Case - Black Friday Sale E-Commerce
  • Урок 365. 00:01:45
    Explore: GitOps Tools
  • Урок 366. 00:01:56
    CNCF Survey GitOps Tools - Argo and Flux Graduated Projects
  • Урок 367. 00:03:29
    Explore: GitOps tools: ArgoCD, Flux, Jenkins X, Codefresh, Tekton
  • Урок 368. 00:01:56
    Explore: Argo CD - GitOps Continuous Delivery Tool for Kubernetes
  • Урок 369. 00:05:26
    Argo CD deploy microservices in Kubernetes with CI/CD
  • Урок 370. 00:05:40
    Design: Cloud-Native E-commerce Microservices with Devops, CI/CD, IaC and GitOps
  • Урок 371. 00:01:51
    Hands-on: Terraform IaC provision AWS EC2 instance
  • Урок 372. 00:04:04
    Terraform Workflow and Development Loop w/ Terraform Commands
  • Урок 373. 00:03:38
    Step 1. Install and Setup Terraform
  • Урок 374. 00:05:41
    Terraform Providers
  • Урок 375. 00:04:52
    Step 2. Terraform Develop IaC: Write configuration the Desired State
  • Урок 376. 00:02:42
    Step 3. Terraform Init: Initializing the Working Directory
  • Урок 377. 00:03:01
    Step 4. Terraform Plan: Validate the resource declaration
  • Урок 378. 00:04:03
    Step 5. Terraform Apply: Create infrastructure w/ Applying the Plan
  • Урок 379. 00:04:19
    Step 6. Change Infrastructure w/ Config Changes and Apply Changes
  • Урок 380. 00:03:41
    Step 7. Terraform Variables: Parameterizing the Configuration w/ Input Variables
  • Урок 381. 00:02:28
    Step 8. Terraform Destroy: Destroy Infrastructure
  • Урок 382. 00:01:27
    Hands-on: GitHub Actions CI/CD for Build & Push Docker Images to DockerHub
  • Урок 383. 00:01:03
    Step 1. Create Repository on GitHub
  • Урок 384. 00:04:08
    Step 2. Clone Repository and and push Product microservices codes w/ Dockerfile
  • Урок 385. 00:02:22
    Step 3. Create GitHub Secrets for DockerHub Username and Token
  • Урок 386. 00:04:35
    Step 4. Create and Define a GitHub Actions Workflow File
  • Урок 387. 00:01:48
    Step 5. Commit Push and Monitor Workflow, check DockerHub
  • Урок 388. 00:03:28
    Step 6. Change code and commit push to monitor new GitHub Actions workflow
  • Урок 389. 00:03:09
    Deploy to Kubernetes cluster with GitHub Actions workflow
  • Урок 390. 00:01:44
    Introduction to Pillar8: Monitoring & Observability with Distributed Logging and
  • Урок 391. 00:02:01
    12-Factor App and Cloud-native Trial Map - Monitoring & Observability
  • Урок 392. 00:01:36
    Cloud-native Trial Map - Monitoring & Observability
  • Урок 393. 00:02:11
    Monitoring & Observability in Cloud-native Applications: Monitor, Observe, Log
  • Урок 394. 00:01:32
    CNCF and Dynatrace Report: Observability show biggest growth in Kubernetes
  • Урок 395. 00:01:53
    Why Monitoring Tools increases in K8s Workloads ?
  • Урок 396. 00:03:13
    Monitoring in Cloud-native Microservices
  • Урок 397. 00:04:34
    Deep Dive into Monitoring Types: System, Service and Application Monitoring
  • Урок 398. 00:02:51
    Backing Services Monitoring and Kafka, Redis, DB Metrics
  • Урок 399. 00:05:50
    Application Performance and Business Monitoring (APM, ABM)
  • Урок 400. 00:02:54
    Microservices Health Checks: Liveness, Readiness and Performance Checks
  • Урок 401. 00:01:11
    Explore: Monitoring Tools
  • Урок 402. 00:04:56
    Explore: Monitoring Tools: Prometheus, Grafana, Dynatrace, Datadog, New Relic
  • Урок 403. 00:04:37
    Prometheus - Open-source monitoring and alerting tool
  • Урок 404. 00:07:09
    Prometheus Architecture
  • Урок 405. 00:03:11
    How Prometheus Works ? Steps of Monitoring Cloud-native microservices in K8s
  • Урок 406. 00:01:47
    Explore: Cloud Serverless Monitoring Tools: Amazon CloudWatch, Google Stackdrive
  • Урок 407. 00:02:22
    What is Distributed Logging ? How Distributed Logging used in Cloud-native ms
  • Урок 408. 00:04:26
    Microservices Observability with Distributed Logging and Distributed Tracing
  • Урок 409. 00:02:02
    Explore: Distributed Logging, Distributed Tracing Tools
  • Урок 410. 00:03:55
    Explore: Logging and Tracing Tools: ELK Stack, Fluentd, Jeager, Zipkin
  • Урок 411. 00:05:38
    Elastic Stack for Microservices Observability with Distributed Logging
  • Урок 412. 00:03:37
    Microservices Distributed Tracing with OpenTelemetry using Zipkin
  • Урок 413. 00:04:29
    Explore: Cloud Serverless Logging-Tracing Tools: Amazon CloudWatch, Google Stack
  • Урок 414. 00:06:43
    Design: Cloud-Native E-commerce Microservices Architecture with Monitoring
  • Урок 415. 00:04:14
    Hands-on: Prometheus & Grafana Monitoring On Kubernetes Using Helm
  • Урок 416. 00:01:53
    Step 1. Prepare environment (Start Docker Desktop, minikube k8s cluster and helm
  • Урок 417. 00:05:54
    Step 2. Setup and Install Prometheus
  • Урок 418. 00:06:59
    Step 3. Access Prometheus Dashboard
  • Урок 419. 00:03:04
    Prometheus Metrics, Alerts and Business Custom Metrics
  • Урок 420. 00:03:31
    Step 4. Setup and Install Grafana
  • Урок 421. 00:03:20
    Step 5. Access Grafana Dashboard
  • Урок 422. 00:02:25
    Step 6. Add Grafana Data source for Prometheus Server
  • Урок 423. 00:04:26
    Step 7. Create Kubernetes Cluster Dashboard on Grafana
  • Урок 424. 00:02:10
    Step 8. Cleanup Resources (helm, kubectl, minikube)
  • Урок 425. 00:08:09
    Spring Boot Microservices in Kubernetes Monitor Custom Metrics with Prometheus
  • Урок 426. 00:01:03
    Thanks