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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
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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 ?
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RabbitMQ Components: Producer, Queue, Consumer, Message, Exchange, Binding, FIFO
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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
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Design: Event-Driven E-commerce Microservices Architecture with Event Hubs
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Design with Cloud Serverless Message Brokers - Amazon SNS - EventBridge
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Introduction - Hands-on: Deploy Kafka in Kubernetes Cluster with Minikube
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Apache Kafka Cluster Architecture
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Apache Kafka Core APIs
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Hands-on: Deploy Kafka Message Broker in a Single Kubernetes Cluster w/ Minikube
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Start Kafka - Deploying Kafka Cluster in Kubernetes with Bitnami Helm Charts
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Use the built-in Kafka Client - Publish and Subscribe Topic with sending message
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Simulate Kafka Node Failure and Node Scales
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Stop the cluster - Clear Resources
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Introduction Hands-on: Amazon SNS Notifications Topic Subscribe From AWS Lambda
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Amazon SNS Features and Benefits
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Amazon SNS Common Use Cases
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Create Notification Amazon SNS topic
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Create Lambda Function for Asnyc Invocations from Amazon SNS
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Create Lambda Subscription to Amazon SNS topic
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Develop Lambda function for incoming event from Amazon SNS topic
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Publish Message from Amazon SNS
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Clean up Resources
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Introduction to Scalability: Kubernetes Horizontal Pod Autoscaler (HPA) and KEDA
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12-Factor App - Cloud-Native Scalability
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Cloud-native Trial Map - Cloud-Native Scalability
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What is Scalability ?
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Vertical Scaling - Scale up
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Horizantal Scaling - Scale out
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Scaling Cloud-native Applications in Kubernetes - Kubernetes Scalability Options
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Best Practices of Scaling Cloud-native Applications in Kubernetes
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KEDA Event-driven Autoscaling Cloud-native Applications in Kubernetes
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Explore:CN Scalability tools: KEDA, Knative, Kubeless, Virtual Kubelet, OpenFunc
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Explore: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps
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Design: Cloud-Native E-commerce Microservices with Cloud-Native Scalability
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Design: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps
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Hands-on: Scale Kubernetes Pods (VPA,HPA,KEDA) on a Kubernetes Cluster Minikube
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Step 1. Manually Horizontal and Vertical scaling pods into Kubernetes Cluster
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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