Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD
25h 25m 22s
English
Paid
Course description
In this course, we’re going to learn how to Design and Build Cloud-Native Apps with Microservices Architecture, Kubernetes Deployments, Communications, Backing Services, CI/CD pipelines and Monitoring Patterns and Best Practices.
Cloud-native is a huge topic that need to organize how to digest all topics well. We will follow Cloud-Native Trial Map that starts with Containerization and Orchestrations, and continues with CI/CD, Service Meshes, Scalability, Distributed Databases.. In every step, we will follow Cloud-native Pillars, with learning Cloud-Native architecture and visit Cloud-Native tools, explore and understand these tools, design architecture with these tools and finally develop +20 Hands-on real-world project on Kubernetes clusters.
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| # | Title | Duration |
|---|---|---|
| 1 | Introduction | 07:10 |
| 2 | Cloud Types: Private/On-premises, Public and Hybrid Cloud | 03:48 |
| 3 | Multi-Cloud Strategy | 01:31 |
| 4 | Evolution of Cloud Platforms: Cloud Hosting Models: IaaS - CaaS - PaaS - FaaS | 02:53 |
| 5 | Cloud-Native Application Architecture | 04:34 |
| 6 | Evolution of Application Architectures: Monolithic, Microservices, Serverless | 02:57 |
| 7 | Deep Dive into Cloud-Native Pillars - Course Section Flow | 04:54 |
| 8 | Way of Learning - The Course Flow | 04:22 |
| 9 | Hands-on Projects | 07:05 |
| 10 | How to Follow the Course & Course Slides | 03:35 |
| 11 | What is Cloud-Native ? | 02:28 |
| 12 | Cloud Native Definition from CNCF | 01:37 |
| 13 | What Is Cloud Native Architecture ? | 01:27 |
| 14 | Cloud Native Architecture Design Principles and Key Characteristics | 03:17 |
| 15 | Benefits of Cloud-Native Architectures | 01:40 |
| 16 | Challenges of Cloud-Native Architectures | 02:57 |
| 17 | The Cloud Path of Legacy Applications - Modernization of Legacy Apps with Cloud | 05:47 |
| 18 | Introduction - Cloud-Native Fundamentals - Conway's Law and 12 Factor App | 00:48 |
| 19 | The Conway's Law | 01:54 |
| 20 | The impact of Conway's Law on Cloud-Native Microservices | 03:40 |
| 21 | 12-Factors - The Twelve-Factor Application | 04:56 |
| 22 | I. Codebase - The Twelve-Factor Application | 01:35 |
| 23 | II. Dependencies - The Twelve-Factor Application | 02:26 |
| 24 | III. Config - The Twelve-Factor Application | 02:27 |
| 25 | IV. Backing services - The Twelve-Factor Application | 02:14 |
| 26 | V. Build, release, run - The Twelve-Factor Application | 03:15 |
| 27 | VI. Processes - The Twelve-Factor Application | 01:33 |
| 28 | VII. Port binding - The Twelve-Factor Application | 01:24 |
| 29 | VIII. Concurrency - The Twelve-Factor Application | 02:06 |
| 30 | IX. Disposability - The Twelve-Factor Application | 02:23 |
| 31 | X. Dev/prod parity - The Twelve-Factor Application | 01:29 |
| 32 | XI. Logs - The Twelve-Factor Application | 01:33 |
| 33 | XII. Admin processes - The Twelve-Factor Application | 01:32 |
| 34 | Introduction - Cloud-Native Deep Dive - Landscape, TrialMap and Pillars | 00:26 |
| 35 | Cloud Native Computing Foundation (CNCF) | 01:56 |
| 36 | Quick Tour on Cloud Native Computing Foundation (CNCF) | 04:37 |
| 37 | What Is the CNCF Landscape ? | 06:33 |
| 38 | Deep Dive into CNCF Landscape Categories | 08:20 |
| 39 | Complicated with CNCF Projects ? - Funny Break | 01:53 |
| 40 | CNCF Cloud Native Trail Map | 04:34 |
| 41 | The Four Pillars of Cloud-Native Applications | 01:22 |
| 42 | All Cloud Native Pillars - Extended for Course Structure | 04:54 |
| 43 | Introduction to Pillar1: Microservices | 01:51 |
| 44 | 12-Factor App and Cloud-native Trial Map - Microservices | 03:28 |
| 45 | Evolution of Architectures; Monolithic, Microservices, Serverless | 02:57 |
| 46 | What are Microservices ? | 01:26 |
| 47 | What is Microservices Architecture ? | 01:51 |
| 48 | Microservices Characteristics | 03:09 |
| 49 | Benefits of Microservices Architecture | 04:04 |
| 50 | Challenges of Microservices Architecture | 04:03 |
| 51 | When to Use Microservices Architecture - Best Practices | 03:13 |
| 52 | When Not to Use Microservices - Anti-Patterns of Microservices | 03:10 |
| 53 | Monolithic vs Microservices Architecture Comparison | 02:39 |
| 54 | The Database-per-Service Pattern - Polygot Persistence | 02:37 |
| 55 | Explore: Languages and Frameworks for Microservices | 04:23 |
| 56 | Explore: Cloud-Native Microservices Frameworks | 05:23 |
| 57 | Explore: Cloud Managed and Serverless Microservices Frameworks | 04:05 |
| 58 | Design: Cloud-Native Microservices Architecture - Way of Learning | 01:00 |
| 59 | Understand E-Commerce Domain: Analysis and Decompose E-Commerce Microservices | 04:12 |
| 60 | Identifying and Decomposing Microservices for E-Commerce Domain | 01:50 |
| 61 | Design: Cloud-Native E-commerce Microservices Architecture | 03:19 |
| 62 | Choose Microservices Language and Frameworks for Cloud-Native Microservices | 03:12 |
| 63 | Reference Project: .Net Microservices - Cloud-Native E-commerce App | 08:35 |
| 64 | Reference Project: AWS Serverless Microservices - Cloud-Native E-commerce App | 09:15 |
| 65 | Introduction - Hands-on: Develop a RESTful Microservices with CRUD endpoints | 02:29 |
| 66 | Primary Programming Languages and Frameworks among Microservices Developers | 02:00 |
| 67 | Why .Net for Microservices Development ? | 04:38 |
| 68 | Install Prerequisites | 05:20 |
| 69 | Developing Product Microservices | 08:31 |
| 70 | Run the Application - Product Microservices | 07:04 |
| 71 | Create Product Microservices with AWS Serverless Services: AWS Lambda, API Gw | 01:57 |
| 72 | Hands-on: Create Product Microservices with AWS Lambda, API Gateway and DynamoDB | 04:42 |
| 73 | Introduction to Pillar2: Containers | 01:26 |
| 74 | 12-Factor App and Cloud-native Trial Map - Containers | 03:25 |
| 75 | Evolution of Cloud Platforms: Cloud Hosting Models: IaaS - CaaS - PaaS - FaaS | 06:59 |
| 76 | What are Container ? | 02:45 |
| 77 | Why use Containers for developing Cloud-native Microservices ? | 02:49 |
| 78 | Best Practices of using Containers | 03:04 |
| 79 | How Containers Works ? | 02:52 |
| 80 | What is Container Runtimes ? | 02:17 |
| 81 | What is a Container Registry ? | 02:45 |
| 82 | Containerization: Running Microservices in Containers | 02:39 |
| 83 | What is Docker ? | 00:56 |
| 84 | Docker Containers, Images, and Registries | 01:57 |
| 85 | Docker Architecture | 03:29 |
| 86 | Explore Container tools: Container Runtimes, Registries, Deployments | 04:04 |
| 87 | Explore: Container Registries | 04:24 |
| 88 | Explore: Container Deployment Options | 03:36 |
| 89 | Explore: Cloud Container Services: Abstraction Level of Container Deployments | 07:36 |
| 90 | Explore The Most Popular Container Images: Redis, Postgres, ElasticSearch, Kafka | 03:04 |
| 91 | Design: Cloud-Native E-commerce Microservices Architecture with Containers | 03:38 |
| 92 | Reference Project: .Net Microservices - Cloud-Native E-commerce App | 04:28 |
| 93 | Build and Run Microservices with Docker Compose | 11:27 |
| 94 | Introduction - Hands-on: Containerize .Net Microservices with Docker | 01:18 |
| 95 | Install Prerequisites | 01:29 |
| 96 | Write Dockerfile for Product Microservices | 05:38 |
| 97 | Create Docker Image for Product Microservices | 03:21 |
| 98 | Run Docker Image for Product Microservices | 06:56 |
| 99 | Push Docker Image to Docker Hub for Product Microservices | 04:28 |
| 100 | Deploy Container to Cloud: AWS Apprunner, Google Cloud Run, Azure Container Inst | 06:24 |
| 101 | Prepare your AWS Environment: AWS Account, IAM User, Programmatic Access Key | 07:42 |
| 102 | Download and Configure AWS CLI for Programmatic Access | 06:41 |
| 103 | Hands-on: Pushing Docker Image to Amazon Elastic Container Registry (ECR) | 05:54 |
| 104 | Deploy ProductService Container to AWS AppRunner | 06:40 |
| 105 | IMPORTANT - CLEAR AWS RESOURCES | 02:00 |
| 106 | Introduction to Container Orchestrators | 01:25 |
| 107 | 12-Factor App and Cloud-native Trial Map - Container Orchestrators | 02:13 |
| 108 | Cloud-native Trial Map - Container Orchestrators | 02:12 |
| 109 | Why need Orchestrator for Containers ? | 02:29 |
| 110 | What are Container Orchestrators ? | 02:36 |
| 111 | Container Orchestrators Usage for Cloud-native Microservices | 04:19 |
| 112 | Best Practices of using Container Orchestrators | 03:27 |
| 113 | How Container Orchestrators works ? | 03:28 |
| 114 | Explore: Container Orchestrator tools: Kubernetes, Docker Swarm, Apache Mesos | 03:49 |
| 115 | Explore: Cloud Container Orchestrator tools: EKS, GKS, AKS, Red Hat OpenShift | 05:04 |
| 116 | Datadog Container Reports: Kubernetes is defacto standard for Containers | 03:36 |
| 117 | Design: Cloud-Native E-commerce Microservices Architecture with Container Orch | 03:48 |
| 118 | Design with Managed Kubernetes Services - Cloud-Native E-commerce Microservices | 02:30 |
| 119 | Introduction - Deep Dive into Kubernetes - Defacto Standart for Containers | 00:38 |
| 120 | CNCF 2022 Annual Survey - The year cloud native became the new normal | 04:03 |
| 121 | Kubernetes is Emerging as the 'Operating System' of the Cloud | 03:14 |
| 122 | Cloud-Native Landscape and Trial Map - Kubernetes: Container Orchestrator | 02:19 |
| 123 | What Is Kubernetes and why we use them for microservices deployments ? | 01:09 |
| 124 | Uses Cases of Kubernetes | 01:53 |
| 125 | Kubernetes Architecture | 04:41 |
| 126 | Kubernetes Components: Pods, ReplicaSet, Deployments, Service | 04:35 |
| 127 | How Kubernetes Works | 04:37 |
| 128 | Declarative and Imperative way of Kubernetes | 03:44 |
| 129 | Introduction - Hands-on: Deploy Microservices to Kubernetes | 00:53 |
| 130 | Install Minikube and kubectl | 02:06 |
| 131 | Getting Started with Minikube | 05:08 |
| 132 | ASP.NET Container Expose Port - CONFIGURE TO LISTEN - 0.0.0.0:8080 | 11:26 |
| 133 | Create a Pod | 04:24 |
| 134 | Apply a Pod in K8s | 08:27 |
| 135 | Why Should not Create Pod on Kubernetes ? | 03:16 |
| 136 | Create a Deployment on Kubernetes | 05:05 |
| 137 | Apply a Deployment in K8s | 03:47 |
| 138 | Create a Service on K8s | 06:40 |
| 139 | Apply a Service in K8s | 04:56 |
| 140 | Best Practice of Creating Deployment and Services for Microservices | 03:08 |
| 141 | Create Ingress for External Access of Product Microservice | 10:04 |
| 142 | Create ConfigMaps and Secrets for Product Microservice | 08:40 |
| 143 | Scale a Container Instance in Kubernetes | 09:53 |
| 144 | Kubernetes Deploy and Service with Minikube | 04:30 |
| 145 | Clean up resources | 03:40 |
| 146 | Introduction - Helm : Managing Kubernetes Applications with Helm | 00:31 |
| 147 | Cloud-Native Landscape and Trial Map - Helm: Managing Kubernetes Applications | 02:09 |
| 148 | What is Helm and Helm Charts ? | 04:26 |
| 149 | Benefits of Helm Charts and Artifact Hub for Centralized Repository | 04:33 |
| 150 | How Helm Charts is works ? | 03:19 |
| 151 | Understanding Helm Chart Structure | 01:54 |
| 152 | Install and Use Helm | 03:57 |
| 153 | Getting Started with Helm: Install and Launch Wordpress Helm from ArtifactHub | 15:28 |
| 154 | Hands-on Lab: Deploy Product Microservices with Helm Charts | 16:27 |
| 155 | Introduction to Cloud-Native Communications | 01:36 |
| 156 | 12-Factor App and Cloud-native Trial Map - Cloud-Native Communications | 01:49 |
| 157 | Cloud-native Trial Map - Cloud-Native Communications | 01:41 |
| 158 | Communications in Cloud-Native Architectures | 03:23 |
| 159 | Microservices Communication Types: Synchronous or Asynchronous Communication | 04:33 |
| 160 | Microservices Communication Styles: Request-Driven or Event-Driven Architecture | 05:29 |
| 161 | Microservices Synchronous Communications and Best Practices | 01:31 |
| 162 | Designing HTTP based RESTful APIs for Microservices | 03:04 |
| 163 | gRPC: High Performance Remote Procedure Calls | 01:36 |
| 164 | How gRPC works ? | 01:10 |
| 165 | gRPC Usage in Microservices Communication | 02:00 |
| 166 | CN Communication Patterns: API Gateway Pattern | 02:47 |
| 167 | A Request Flow of API Gateway Pattern | 03:15 |
| 168 | CN Communication Patterns: Service Registry/Discovery Pattern | 03:22 |
| 169 | CN Communication Patterns: Sidecar Pattern | 04:10 |
| 170 | CN Communication Patterns: Service Mesh Pattern | 03:14 |
| 171 | Service Mesh Communication in Cloud-Native Microservices | 03:30 |
| 172 | Explore: CN Communication tools: Service Proxy (envoy), API Gateway(kong) | 01:24 |
| 173 | Explore: CN Communication tools: Service Proxy (envoy, nginx, haproxy) | 04:24 |
| 174 | Explore: CN Communication tools: API Gateway(kong, krakenD, kubeGateway) | 04:40 |
| 175 | Explore: CN Communication tools: Service Meshes (istio, linkerd) | 04:12 |
| 176 | Explore: Cloud Serverless Communication tools: AWS, Azure Service Proxy, API Gw | 02:47 |
| 177 | Service Meshes are still early and Istio dominates usage | 02:04 |
| 178 | Design: Cloud-Native E-commerce Microservices Architecture with Service Meshes | 04:09 |
| 179 | Design with Cloud Managed Services - AWS API Gateway, Service Mesh | 01:49 |
| 180 | Introduction Hands-on: Deploy Microservices to Kubernetes w/ Service Mesh Istio | 01:34 |
| 181 | What is Istio Service Mesh and How Istio Service Mesh works ? | 03:56 |
| 182 | Getting Started Hands-on - The Architecture with Istio and Envoy | 06:38 |
| 183 | Download and Install Istio Service Mesh onto Minikube K8s cluster | 02:47 |
| 184 | Install Istio | 01:48 |
| 185 | Deploy the Microservices Application | 04:42 |
| 186 | Open the Application to Outside Traffic with Istio Ingress Gateway | 05:57 |
| 187 | View the dashboard - Deploy the Kiali dashboard, along with Prometheus, Grafana | 06:12 |
| 188 | Analysis the Dashboard | 06:19 |
| 189 | Uninstall Istio Workloads | 05:05 |
| 190 | Introduction to Cloud-Native Backing Services: Databases, Caching,Message Broker | 01:57 |
| 191 | 12-Factor App - Cloud-Native Backing Services | 01:46 |
| 192 | Cloud-native Trial Map - Cloud-Native Backing Services | 01:44 |
| 193 | Dynatrace Kubernetes Report - Kubernetes Growth Areas are Open Source Databases | 03:57 |
| 194 | Backing Services for Cloud-Native Microservices | 06:50 |
| 195 | Starting to CN Data Management, Caching, Message Brokers (K8s and Serverless) | 01:58 |
| 196 | Introduction to CN Data Management (K8s and Serverless Databases) | 00:59 |
| 197 | Cloud-native Trial Map – Backing Services: Databases | 01:55 |
| 198 | Database as a Service - DBaaS for Cloud-Native Microservices | 04:39 |
| 199 | Relational Databases | 02:14 |
| 200 | No-SQL Databases | 01:14 |
| 201 | NoSQL Databases Types - Document, Key-value, Graph-based, Column-based Databases | 03:23 |
| 202 | When to Use Relational Databases ? | 02:48 |
| 203 | When to Use No-SQL Databases ? | 03:59 |
| 204 | Best Practices When Choosing Data Store - Use Right Tool for Right Job | 03:32 |
| 205 | How to Choose a Database for Microservices | 04:29 |
| 206 | NewSQL Databases | 03:02 |
| 207 | Comparison with Relational, NoSQL and NewSQL Databases | 03:10 |
| 208 | The Rise of the Kubernetes Native Database and Architecture | 06:50 |
| 209 | Most Usage Databases in Kubernetes for Cloud-Native Apps | 02:26 |
| 210 | Explore: CN Databases: Horizontally Scalable Distributed Cloud-native Databases | 01:51 |
| 211 | Explore: Relational Databases: PostgreSQL, MySQL, Oracle, SQL Server | 03:24 |
| 212 | Explore: NoSQL Databases: MongoDB, Redis, Cassandra | 03:11 |
| 213 | Explore: NewSQL Kubernetes Database: Vitess, TiDB, TiKV, CockroachDB, YugabyteDB | 04:00 |
| 214 | Explore: Kubernetes Databases: YugabyteDB: The Scalable Cloud Native Database | 07:30 |
| 215 | Explore: CN Kubernetes Databases: Vitess: Scalable. Reliable. MySQL-compatible. | 02:44 |
| 216 | Explore: CN Kubernetes Databases: CockroachDB: A distributed SQL database built | 05:51 |
| 217 | Explore: Cloud Serverless Databases: Amazon DynamoDB, Azure CosmosDB, Google DB | 06:01 |
| 218 | Design: Cloud-Native E-commerce Microservices with Relational and NoSQL Database | 02:05 |
| 219 | Design: Cloud-Native E-commerce Microservices with NewSQL Kubernetes Databases | 03:29 |
| 220 | Design with Cloud Serverless Databases: AWS DynamoDB, Aurora DB, Azure CosmosDB | 03:27 |
| 221 | Introduction - Hands-on: Deploy CockroachDB in a Single Kubernetes Cluster | 03:37 |
| 222 | What is Kubernetes Operator and Why use Operators ? | 03:08 |
| 223 | Step 1. Start Kubernetes - minikube start | 01:22 |
| 224 | Step 2. Start CockroachDB - Deploy CockroachDB in a Single Kubernetes Cluster | 05:02 |
| 225 | Step 2.1 Start CockroachDB - Initialize the cluster - Apply the custom resource | 04:31 |
| 226 | Step 3. Use the built-in SQL client | 06:20 |
| 227 | Step 4. Access the DB Console | 04:34 |
| 228 | Step 5. Simulate node failure and node scales | 04:42 |
| 229 | Step 6. Stop the cluster | 03:42 |
| 230 | Introduction - Hands-on: Building RESTful Microservices with Serverless | 02:38 |
| 231 | What Is Amazon DynamoDB ? | 01:57 |
| 232 | Amazon DynamoDB Core Concepts - Tables, Items, Attributes, Indexes | 03:42 |
| 233 | Create a DynamoDB Table | 00:57 |
| 234 | Create a Lambda Function | 04:24 |
| 235 | Create an API Gateway | 04:00 |
| 236 | Test - RESTful Microservices with AWS Lambda, Api Gateway and DynamoDb | 02:27 |
| 237 | AWS Console microservice-http-endpoint Lambda Blueprint | 02:10 |
| 238 | Resource Cleanup | 01:02 |
| 239 | Introduction to CN Caching (K8s and Serverless Caching) | 01:27 |
| 240 | Cloud-native Trial Map – Backing Services: Caching | 01:43 |
| 241 | What is Caching ? | 01:31 |
| 242 | Types of Caching | 01:20 |
| 243 | Distributed Caching in Microservices | 02:54 |
| 244 | Cache Hit and Cache Miss | 01:28 |
| 245 | Caching Strategies in Distributed Caching for Microservices | 05:01 |
| 246 | Cache-Aside Pattern for Microservices | 03:29 |
| 247 | Best Practices of using Cache in Cloud-native Apps | 04:19 |
| 248 | Explore: CN Caching: Horizontally scalable Distributed Caches | 01:38 |
| 249 | Explore: CN Distributed Caches: Redis, Memcached, TiKV, etcd | 03:21 |
| 250 | Explore: Cloud Serverless Caches: Amazon ElastiCache, Azure Cache for Redis | 02:51 |
| 251 | Explore: Upstash Redis: Serverless fully managed globally distributed Redis | 01:33 |
| 252 | Design: Cloud-Native E-commerce Microservices with Distributed Caching | 04:25 |
| 253 | Design with Cloud Serverless Caches - AWS ElastiCache, Azure Cache for Redis | 02:24 |
| 254 | Introduction - Hands-on: Deploy Redis Cache in a Single Kubernetes Cluster | 01:52 |
| 255 | Hands-on: Deploy Redis Cache in a Single Kubernetes Cluster with Minikube | 03:09 |
| 256 | Start Redis - Deploying Redis Cluster in Kubernetes with Bitnami Helm Charts | 03:06 |
| 257 | Use the built-in Redis Client - Run Redis Commands on Redis Interactive Terminal | 03:53 |
| 258 | Simulate Redis Node Failure and Node Scales | 05:55 |
| 259 | Stop the cluster - Clear Resources | 02:54 |
| 260 | Hands-on: Create Cache Cluster with Amazon ElastiCache for Redis | 01:52 |
| 261 | Create Redis Cache Cluster with Amazon ElastiCache for Redis | 05:24 |
| 262 | Introduction to Cloud-Native Message Brokers (Async communication, event-driven) | 01:17 |
| 263 | Cloud-native Trial Map – Backing Services: Message Brokers | 02:41 |
| 264 | Microservices Asynchronous Communication | 03:22 |
| 265 | Benefits of Asynchronous Communication | 02:15 |
| 266 | Challenges of Asynchronous Communication | 01:43 |
| 267 | Fan-Out Publish/Subscribe Messaging Pattern | 02:45 |
| 268 | Topic-Queue Chaining & Load Balancing Pattern | 03:16 |
| 269 | Event-Driven Microservices Architecture | 01:57 |
| 270 | Real-time Processing and High Volume Events in Event-Driven Microservices | 01:59 |
| 271 | Event Hubs and Event Streaming in Event-Driven Microservices Architecture | 02:23 |
| 272 | Real-world Examples of Event-Driven Microservices Architecture | 02:26 |
| 273 | Explore: CN Message Broker: Horizontally Scalable Distributed | 01:46 |
| 274 | Explore: CN Message Brokers: Kafka, RabbitMQ, Redis Pub/Sub, cloudevents | 02:33 |
| 275 | What is Apache Kafka ? | 01:38 |
| 276 | Apache Kafka Use Cases | 01:54 |
| 277 | Kafka Components: Topic, Partitions, Offset and Replication Factor | 04:11 |
| 278 | What is RabbitMQ ? | 01:20 |
| 279 | RabbitMQ Components: Producer, Queue, Consumer, Message, Exchange, Binding, FIFO | 01:29 |
| 280 | Explore: Cloud Serverless Message Brokers: Amazon SNS, EventBridge, Azure Bus | 05:07 |
| 281 | Explore: Upstash Kafka: Message Broker and Memphis.dev for Event Streaming | 03:27 |
| 282 | Design: Cloud-Native E-commerce Microservices with Distributed Message Broker | 02:35 |
| 283 | Design: Event-Driven E-commerce Microservices Architecture with Event Hubs | 02:31 |
| 284 | Design with Cloud Serverless Message Brokers - Amazon SNS - EventBridge | 03:48 |
| 285 | Introduction - Hands-on: Deploy Kafka in Kubernetes Cluster with Minikube | 01:26 |
| 286 | Apache Kafka Cluster Architecture | 02:51 |
| 287 | Apache Kafka Core APIs | 02:23 |
| 288 | Hands-on: Deploy Kafka Message Broker in a Single Kubernetes Cluster w/ Minikube | 02:14 |
| 289 | Start Kafka - Deploying Kafka Cluster in Kubernetes with Bitnami Helm Charts | 02:14 |
| 290 | Use the built-in Kafka Client - Publish and Subscribe Topic with sending message | 03:52 |
| 291 | Simulate Kafka Node Failure and Node Scales | 03:47 |
| 292 | Stop the cluster - Clear Resources | 02:31 |
| 293 | Introduction Hands-on: Amazon SNS Notifications Topic Subscribe From AWS Lambda | 01:18 |
| 294 | Amazon SNS Features and Benefits | 01:00 |
| 295 | Amazon SNS Common Use Cases | 01:52 |
| 296 | Create Notification Amazon SNS topic | 01:23 |
| 297 | Create Lambda Function for Asnyc Invocations from Amazon SNS | 02:27 |
| 298 | Create Lambda Subscription to Amazon SNS topic | 03:06 |
| 299 | Develop Lambda function for incoming event from Amazon SNS topic | 03:10 |
| 300 | Publish Message from Amazon SNS | 01:48 |
| 301 | Clean up Resources | 00:36 |
| 302 | Introduction to Scalability: Kubernetes Horizontal Pod Autoscaler (HPA) and KEDA | 01:39 |
| 303 | 12-Factor App - Cloud-Native Scalability | 02:14 |
| 304 | Cloud-native Trial Map - Cloud-Native Scalability | 01:39 |
| 305 | What is Scalability ? | 01:32 |
| 306 | Vertical Scaling - Scale up | 01:46 |
| 307 | Horizantal Scaling - Scale out | 01:17 |
| 308 | Scaling Cloud-native Applications in Kubernetes - Kubernetes Scalability Options | 04:48 |
| 309 | Best Practices of Scaling Cloud-native Applications in Kubernetes | 01:30 |
| 310 | KEDA Event-driven Autoscaling Cloud-native Applications in Kubernetes | 05:59 |
| 311 | Explore:CN Scalability tools: KEDA, Knative, Kubeless, Virtual Kubelet, OpenFunc | 06:25 |
| 312 | Explore: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps | 03:17 |
| 313 | Design: Cloud-Native E-commerce Microservices with Cloud-Native Scalability | 05:23 |
| 314 | Design: Cloud Serverless Scalability: AWS Fargate, Azure Container Apps | 04:36 |
| 315 | Hands-on: Scale Kubernetes Pods (VPA,HPA,KEDA) on a Kubernetes Cluster Minikube | 01:03 |
| 316 | Step 1. Manually Horizontal and Vertical scaling pods into Kubernetes Cluster | 07:19 |
| 317 | Step 2. Horizontal Pod Autoscaler (HPA) to auto scale pods on a Kubernetes | 13:09 |
| 318 | Why needed Kubernetes Event-Driven Autoscaling (KEDA) instead of Horizontal Pod | 03:44 |
| 319 | Step 3. Kubernetes Event-Driven Autoscaling (KEDA) to auto scale pods on a K8s | 22:22 |
| 320 | Hands-on: Auto-scaling Spring Boot Microservices in Kubernetes with Prometheus | 11:25 |
| 321 | Introduction - Deploy on Cloud Serverless Kubernetes - AWS Fargate for EKS | 04:19 |
| 322 | Dynatrace Report: Kubernetes moved to the cloud in 2022 | 03:45 |
| 323 | Datadog Report: Serverless Kubernetes grow for all major public clouds | 03:25 |
| 324 | AWS Compute Services: AWS App Runner, ECS, EKS, Fargate, AWS Lambda | 03:19 |
| 325 | Hands-on: Deploying Microservices on Amazon EKS Fargate | 01:59 |
| 326 | Step 1. Installing or updating eksctl to interact Kubernetes Cluster on EKS | 04:20 |
| 327 | Step 2. Create an EKS Cluster with Fargate using eksctl | 06:38 |
| 328 | Step 3. Deploy Nginx microservices on EKS Cluster w/ Fargate using eksctl | 03:18 |
| 329 | Expose Nginx Service on EKS Cluster w/ Fargate using eksctl | 03:43 |
| 330 | Remember Product Microservice | 04:18 |
| 331 | Step 4. Create an ECR repository and Push Docker Image to Container Registry | 06:17 |
| 332 | Step 5. Deploy Product microservices on EKS Cluster w/ Fargate using eksctl | 07:47 |
| 333 | AWS Fargate Auto-scale Deploy Product microservices on EKS Cluster | 04:52 |
| 334 | Clean Up Resources - IMPORTANT | 06:55 |
| 335 | Introduction to Pillar7: Devops, CI/CD, IaC and GitOps | 01:51 |
| 336 | 12-Factor App and Cloud-native Trial Map - Devops CI/CD | 01:32 |
| 337 | Cloud-native Trial Map - Devops and CI/CD | 00:59 |
| 338 | Devops in Cloud-native Applications: Devops/DevSecOps, CI/CD, IaC, GitOps | 01:38 |
| 339 | What is DevOps ? How DevOps is Used in Cloud-Native Microservices ? | 02:24 |
| 340 | What is DevSecOps ? - Key Aspects of DevSecOps | 02:17 |
| 341 | DevOps Stages: Software Development and Deployment Lifecycle | 03:06 |
| 342 | Explore: DevOps Tools | 02:45 |
| 343 | What is CI/CD ? How CI/CD used in Cloud-native Microservices ? | 02:58 |
| 344 | CI/CD Pipeline Steps for Microservices Deployments | 03:19 |
| 345 | CI/CD Flow and Tools for Microservices Deployments | 03:12 |
| 346 | Deployment Strategies for Microservices: Blue-green, rolling and canary deploy | 02:26 |
| 347 | Explore: CI/CD Pipelines | 01:48 |
| 348 | Explore: CI/CD Pipelines: GitHub Actions, GitLab CI/CD, Jenkins X, CircleCI | 04:54 |
| 349 | What is GitHub Actions ? | 01:35 |
| 350 | How GitHub Actions work - Components of GitHub Actions | 02:42 |
| 351 | Deploy Microservices to Kubernetes with GitHub Actions | 06:30 |
| 352 | Explore: Cloud Serverless CI/CD Pipelines: Azure Pipelines, AWS CodePipeline | 03:25 |
| 353 | What is IaC ? How IaC used in Cloud-native Microservices ? | 02:31 |
| 354 | IaC usage in Cloud-native Microservices | 02:18 |
| 355 | Explore: IaC Tools | 01:42 |
| 356 | Explore: IaC Tools: Terraform, Ansible, Puppet, Chef, Pulumi | 04:47 |
| 357 | Explore: Terraform - Automate infrastructure on any cloud with Terraform | 02:38 |
| 358 | Terraform IaC Steps - How Terraform Works ? | 03:38 |
| 359 | Explore: Cloud Serverless IaC Tools: AWS CloudFormation, SAM, CDK,Azure Resource | 04:26 |
| 360 | What is GitOps ? How GitOps used in Cloud-native Microservices ? | 03:16 |
| 361 | CNCF 2022 Annual Survey - Organizations Favor GitOps | 01:35 |
| 362 | Key Principles of GitOps | 02:13 |
| 363 | How GitOps Works ? - Steps of GitOps workflow | 04:35 |
| 364 | GitOps Real-world Use Case - Black Friday Sale E-Commerce | 04:09 |
| 365 | Explore: GitOps Tools | 01:45 |
| 366 | CNCF Survey GitOps Tools - Argo and Flux Graduated Projects | 01:56 |
| 367 | Explore: GitOps tools: ArgoCD, Flux, Jenkins X, Codefresh, Tekton | 03:29 |
| 368 | Explore: Argo CD - GitOps Continuous Delivery Tool for Kubernetes | 01:56 |
| 369 | Argo CD deploy microservices in Kubernetes with CI/CD | 05:26 |
| 370 | Design: Cloud-Native E-commerce Microservices with Devops, CI/CD, IaC and GitOps | 05:40 |
| 371 | Hands-on: Terraform IaC provision AWS EC2 instance | 01:51 |
| 372 | Terraform Workflow and Development Loop w/ Terraform Commands | 04:04 |
| 373 | Step 1. Install and Setup Terraform | 03:38 |
| 374 | Terraform Providers | 05:41 |
| 375 | Step 2. Terraform Develop IaC: Write configuration the Desired State | 04:52 |
| 376 | Step 3. Terraform Init: Initializing the Working Directory | 02:42 |
| 377 | Step 4. Terraform Plan: Validate the resource declaration | 03:01 |
| 378 | Step 5. Terraform Apply: Create infrastructure w/ Applying the Plan | 04:03 |
| 379 | Step 6. Change Infrastructure w/ Config Changes and Apply Changes | 04:19 |
| 380 | Step 7. Terraform Variables: Parameterizing the Configuration w/ Input Variables | 03:41 |
| 381 | Step 8. Terraform Destroy: Destroy Infrastructure | 02:28 |
| 382 | Hands-on: GitHub Actions CI/CD for Build & Push Docker Images to DockerHub | 01:27 |
| 383 | Step 1. Create Repository on GitHub | 01:03 |
| 384 | Step 2. Clone Repository and and push Product microservices codes w/ Dockerfile | 04:08 |
| 385 | Step 3. Create GitHub Secrets for DockerHub Username and Token | 02:22 |
| 386 | Step 4. Create and Define a GitHub Actions Workflow File | 04:35 |
| 387 | Step 5. Commit Push and Monitor Workflow, check DockerHub | 01:48 |
| 388 | Step 6. Change code and commit push to monitor new GitHub Actions workflow | 03:28 |
| 389 | Deploy to Kubernetes cluster with GitHub Actions workflow | 03:09 |
| 390 | Introduction to Pillar8: Monitoring & Observability with Distributed Logging and | 01:44 |
| 391 | 12-Factor App and Cloud-native Trial Map - Monitoring & Observability | 02:01 |
| 392 | Cloud-native Trial Map - Monitoring & Observability | 01:36 |
| 393 | Monitoring & Observability in Cloud-native Applications: Monitor, Observe, Log | 02:11 |
| 394 | CNCF and Dynatrace Report: Observability show biggest growth in Kubernetes | 01:32 |
| 395 | Why Monitoring Tools increases in K8s Workloads ? | 01:53 |
| 396 | Monitoring in Cloud-native Microservices | 03:13 |
| 397 | Deep Dive into Monitoring Types: System, Service and Application Monitoring | 04:34 |
| 398 | Backing Services Monitoring and Kafka, Redis, DB Metrics | 02:51 |
| 399 | Application Performance and Business Monitoring (APM, ABM) | 05:50 |
| 400 | Microservices Health Checks: Liveness, Readiness and Performance Checks | 02:54 |
| 401 | Explore: Monitoring Tools | 01:11 |
| 402 | Explore: Monitoring Tools: Prometheus, Grafana, Dynatrace, Datadog, New Relic | 04:56 |
| 403 | Prometheus - Open-source monitoring and alerting tool | 04:37 |
| 404 | Prometheus Architecture | 07:09 |
| 405 | How Prometheus Works ? Steps of Monitoring Cloud-native microservices in K8s | 03:11 |
| 406 | Explore: Cloud Serverless Monitoring Tools: Amazon CloudWatch, Google Stackdrive | 01:47 |
| 407 | What is Distributed Logging ? How Distributed Logging used in Cloud-native ms | 02:22 |
| 408 | Microservices Observability with Distributed Logging and Distributed Tracing | 04:26 |
| 409 | Explore: Distributed Logging, Distributed Tracing Tools | 02:02 |
| 410 | Explore: Logging and Tracing Tools: ELK Stack, Fluentd, Jeager, Zipkin | 03:55 |
| 411 | Elastic Stack for Microservices Observability with Distributed Logging | 05:38 |
| 412 | Microservices Distributed Tracing with OpenTelemetry using Zipkin | 03:37 |
| 413 | Explore: Cloud Serverless Logging-Tracing Tools: Amazon CloudWatch, Google Stack | 04:29 |
| 414 | Design: Cloud-Native E-commerce Microservices Architecture with Monitoring | 06:43 |
| 415 | Hands-on: Prometheus & Grafana Monitoring On Kubernetes Using Helm | 04:14 |
| 416 | Step 1. Prepare environment (Start Docker Desktop, minikube k8s cluster and helm | 01:53 |
| 417 | Step 2. Setup and Install Prometheus | 05:54 |
| 418 | Step 3. Access Prometheus Dashboard | 06:59 |
| 419 | Prometheus Metrics, Alerts and Business Custom Metrics | 03:04 |
| 420 | Step 4. Setup and Install Grafana | 03:31 |
| 421 | Step 5. Access Grafana Dashboard | 03:20 |
| 422 | Step 6. Add Grafana Data source for Prometheus Server | 02:25 |
| 423 | Step 7. Create Kubernetes Cluster Dashboard on Grafana | 04:26 |
| 424 | Step 8. Cleanup Resources (helm, kubectl, minikube) | 02:10 |
| 425 | Spring Boot Microservices in Kubernetes Monitor Custom Metrics with Prometheus | 08:09 |
| 426 | Thanks | 01:03 |
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