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