Microservices Masterclass By David Farley

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Free Download Microservices Masterclass By David Farley
Released 9/2025
By David Farley
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lessons ( 3h 25m ) | Size: 1.38 GB

Microservices are a great approach for building software at scale. But although the ideas at the root of microservices may sound simple, this is not a simple approach. There are several big traps along the way, and it's important to avoid them...
Hi, I'm Dave Farley. If you've watched any of my YouTube videos, particularly those on the topic of microservices, you know that I care deeply about building high quality software.
Microservices are a great approach for building software at scale. But although the ideas at the root of microservices may sound simple, this is not a simple approach. There are several big traps along the way, and it's important to avoid them if you want to gain the benefits of a microservices approach.
In this microservices masterclass, to help you to avoid some of these traps, we've curated some of my most important free videos, along with key segments from my engineering room interviews, and lots of other material to guide your learning. We've structured all of this into a proper training course. You'll find clear learning objectives, helpful introductions, transcripts, key takeaways, exercises, quizzes, and you can earn a certificate at the end if you get all the way through.
If you're an executive or a team lead, this course will help you to make better decisions and to avoid some of those commonest of mistakes.
If you're a developer, I'll give you the clarity and context to build smarter systems from the beginning, and so guide you on your path towards better outcomes.
If you're an architect, our course will sharpen your thinking and reinforce the principles that matter the most in the real world of building complex distributed software that are at the heart of microservices.
While much of this content is freely available, scattered across hundreds of videos on my YouTube channel, this course pulls it together into a more coherent whole and transforms it into a more focused journey, offering a structured learning experience designed to help you to move from passive watching to active mastery.
I hope that you enjoy it, and I hope that you find it helpful in your future endeavors. Enjoy the course.
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AWS EKS Kubernetes-Masterclass | DevOps, Microservices
2025-05-14
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 12.87 GB | Duration: 23h 44m​

Docker, EBS, RDS, CLB, NLB, ALB, Fargate, ECR, CloudWatch, Route53, Certificate Manager, X-Ray, Ingress, Autoscaling,SNS

What you'll learn
You will write kubernetes manifests with confidence after going through live template writing sections
You will learn 30+ kubernetes concepts and use 18 AWS Services in combination with EKS
You will learn Kubernetes Fundamentals in both imperative and declarative approaches
You will learn writing & deploying k8s manifests for storage concepts like storage class, persistent volume claim pvc, mysql and EBS CSI Driver
You will learn to switch from native EBS Storage to RDS Database using k8s external name service
You will learn writing and deploying load balancer k8s manifests for Classic and Network load balancers
You will learn writing ingress k8s manifests by enabling features like context path based routing, SSL, SSL Redirect and External DNS.
You will learn writing k8s manifests for advanced fargate profiles and do mixed mode workload deployments in both EC2 and Fargate Serverless
You will learn using ECR - Elastic Container Registry in combination with EKS.
You will implement DevOps concepts with AWS Code Services like CodeCommit, CodeBuild and CodePipeline
You will implement microservices core cocepts like Service Discovery, Distributed Tracing using X-Ray and Canary Deployments
You will learn to enable Autoscaling features like HPA,VPA and Cluster Autoscaler
You will learn to enable monitoring and logging for EKS cluster and workloads in cluster using CloudWatch Container Insights
You will learn Docker fundamentals by implementing usecases like download image from Docker Hub and run on local desktop and build an image locally, test and push to Docker Hub.
You will slowly start by learning Docker Fundamentals and move on to Kubenetes.
You will master many kubectl commands over the process

Requirements
You must have an AWS account to follow with me for hands-on activities.
You dont need to have any basic Docker or kubernetes knowledge to start this course.

Description
Important Note: This course requires you to download Docker Desktop from Docker website . If you are a Udemy Business user, please check with your employer before downloading software.Course Overview Welcome to this Amazing course on AWS EKS Kubernetes - Masterclass | DevOps, Microservices. Below is the list of modules covered in this course. Course ModulesCreate AWS EKS Cluster using eksctl CLI Docker FundamentalsKubernetes Fundamentals (Pods, ReplicaSets, Deployments & Services)EKS Storage with AWS EBS CSI Driver Kubernetes Important Concepts for Application Deployments Kubernetes - Secrets Kubernetes - Init Containers Kubernetes - Liveness & Readiness Probes Kubernetes - Requests & Limits Kubernetes - Namespaces, Limit Range and Resource Quota EKS Storage with AWS RDS MySQL Database Load Balancing using CLB & NLB Load Balancing using CLB - AWS Classic Load Balancer Load Balancing using NLB - AWS Network Load Balancer Load Balancing using ALB - AWS Application Load Balancer ALB Ingress Controller - Install ALB Ingress - Basics ALB Ingress - Context path-based routing ALB Ingress - SSL ALB Ingress - SSL Redirect HTTP to HTTPS ALB Ingress - External DNS Deploy Kubernetes workloads on AWS Fargate Serverless AWS Fargate Profiles - Basic AWS Fargate Profiles - Advanced using YAML Build and Push Container to AWS ECR and use that in EKS DevOps with AWS Developer Tools CodeCommit, CodeBuild and CodePipeline Microservices Deployment on EKS - Service Discovery Microservices Distributed Tracing using AWS X-Ray Microservices Canary Deployments EKS HPA - Horizontal Pod Autosaler EKS VPA - Vertical Pod Autosaler EKS CA - Cluster Autosaler EKS Monitoring using CloudWatch Agent & Fluentd - Container Insights AWS Services CoveredAWS EKS - Elastic Kubernetes ServiceAWS EBS - Elastic Block StoreAWS RDS - Relational Database Service MySQLAWS CLB - Classic Load BalancerAWS NLB - Network Load BalancerAWS ALB - Application Load BalancerAWS Fargate - ServerlessAWS ECR - Elastic Container RegistryAWS Developer Tool - CodeCommitAWS Developer Tool - CodeBuildAWS Developer Tool - CodePipelineAWS X-RayAWS CloudWatch - Container InsightsAWS CloudWatch - Log Groups & Log InsightsAWS CloudWatch - AlarmsAWS Route53AWS Certificate ManagerEKS CLI - eksctlAWS SNS - Simple Notification ServiceKubernetes Concepts CoveredKubernetes Architecture Pods ReplicaSets Deployments Services - Node Port Service Services - Cluster IP Service Services - External Name Service Services - Load BalancersServices - Ingress Service Services - Ingress SSL & SSL Redirect Services - Ingress & External DNS Imperative - with kubectl Declarative - Declarative with YAML SecretsInit ContainersLiveness & Readiness ProbesRequests & LimitsNamespaces - ImperativeNamespaces - Limit RangeNamespaces - Resource QuotaStorage ClassesPersistent VolumesPersistent Volume ClaimsAnnotationsCanary DeploymentsHPA - Horizontal Pod AutoscalerVPA - Vertical Pod AutoscalerCA - Cluster AutoscalerDaemonSetsDaemonSets - Fluentd for logsConfig MapsEach of my courses come withAmazing Hands-on Step By Step Learning ExperiencesReal Implementation ExperienceFriendly Support in the Q&A section30 Day "No Questions Asked" Money Back Guarantee!

Who this course is for:
Any beginner who is interested in learning kubernetes on cloud using AWS EKS., Any beginner who is interested in learning Kubernetes DevOps and Microservices deployments on Kubernetes, AWS Architects or Sysadmins or Developers who are planning to master Elastic Kubernetes Service (EKS) for running applications on Kubernetes

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