Paul Furlan

🎯🚀 THE ULTIMATE KUBERNETES STUDY RESOURCE IS HERE! 🎯🚀 📚💡 Calling all #DevOpsEngineers, #CloudArchitects, #KubernetesLearners, and #TechStudents! I’m beyond excited to share this power-packed, 100+ page PDF guide that covers EVERYTHING you need to know to master Kubernetes – from theory to practicals, beginner to expert! 💯💥 🧠 What makes this PDF special? 🔸 Based on real-world Kubernetes deployments 🔸 Inspired by live DevOps workshops & masterclasses 🔸 Explained in simple, clear language with diagrams & commands 🔸 No fluff, just focused, practical knowledge! ✅ 📘 🚢 INSIDE THIS PDF: 🔍 Intro to Containers & Kubernetes ➡️ Why we need orchestration tools like Kubernetes ➡️ What happens when Docker isn't enough? 🧱 Kubernetes Architecture 🧠 Master Node vs Worker Node breakdown 🔧 Components: kube-apiserver, etcd, kube-scheduler, controller-manager, kubelet, kube-proxy and more! 📦 Core K8s Concepts ➡️ YAML Manifests ➡️ Pods, ReplicaSets, Deployments, DaemonSets, StatefulSets ➡️ Horizontal & Cluster Autoscaling ➡️ Services – ClusterIP, NodePort, LoadBalancer ➡️ Health Checks – Liveness & Readiness probes ➡️ Labels, Selectors, Annotations 📂 Persistent Storage in K8s ➡️ Volumes, PVs, PVCs, StorageClasses ➡️ HostPath, emptyDir, Dynamic Provisioning ➡️ Real-life MySQL Pod with persistent volume setup 🌐 Kubernetes Networking Deep Dive ➡️ Pod-to-Pod, Pod-to-Service, External-to-Service Routing ➡️ iptables, bridges, DNS, CNI plugins, and more! 🧪 K8s Job, CronJob, Ingress & ConfigMap Use-Cases 🔐 Secrets, 🔁 Rolling Updates, 🧭 Load Balancing 🚀 Multi-Cloud Support ➡️ Amazon EKS – Setup from scratch ➡️ Azure AKS – Portal, CLI, and PowerShell methods ➡️ Google GKE insights 📦 Bonus Topics 🎯 Helm – K8s package manager 🎯 Resource limits & requests 🎯 Real-time CLI commands (kubectl) + cheat sheet 🎯 Activities with example YAML files (Hands-on ready!) 🎯 Interview-ready explanations 🧑‍💻 🎓 Perfect for: ✅ MCA / BTech / MTech / BCA students ✅ Beginner to Intermediate DevOps Engineers ✅ Anyone preparing for CKA, CKAD, or cloud interviews 📎 Download PDF Now! 💬 Let’s connect if you're interested in: 📁 Sample YAML Manifests 🔄 Real Kubernetes deployment pipelines 👨‍🏫 1:1 mentorship or group sessions 🙌 If this helps you or your peers, do drop a ❤️ or 🔁 💬 Tag someone who’s learning Kubernetes! 📢 Comment “K8s⚙️Master” if you're ready to deploy your first app! #Kubernetes #K8s #DevOps #Docker #CloudNative #AWS #GCP #Azure #CKA #CKAD #Microservices #Containerization #InfrastructureAsCode #HelmCharts #Linux #OpenSource #LearnToCode #CloudComputing #YAML #kubectl #MCAProject #EngineeringNotes

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📥 AWS Community Builders Program is now accepting applications! Here are my tips ⬇️ The AWS CB Program is an amazing opportunity for cloud enthusiasts to learn, share, and connect with others. Application period: Jan 6 - Jan 20 Here's how to increase your chances of getting accepted: 1️⃣ Be Active in the Community: Join AWS events, participate in discussions, and support others in online forums. This demonstrates interest in helping the community grow. 2️⃣ Create & Share Content: Start now! Write blogs, make tutorials, or post videos that share your knowledge of AWS services and solutions. This shows your dedication to helping others learn. 3️⃣ Showcase Your Expertise: Highlight your AWS projects or any unique work you’ve done. Demonstrating what you’ve built is necessary. 4️⃣ Network with Current Builders: Reach out and connect with AWS Community Builders to hear their stories and get tips. Learning from their experiences can give you valuable inspiration. 5️⃣ Stay Curious and Keep Learning: AWS is constantly evolving, so stay updated on new services and features. 💬 Are you ready to apply? Let me know in the comments 👇 ♻️ Found this helpful Share this post to help others who may be interested. 🗞 For more Cloud and AI-related advice, subscribe to my Cloud & AI newsletter: https://www.cloudbites.ai #AWS #AWSCommunityBuilders #CloudComputing #TechwithLucy

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Kubernetes Troubleshooting – Step by Step 🛠️ Running workloads on Kubernetes can be powerful, but sometimes pods get stuck in a Pending state. Instead of guessing, a structured troubleshooting approach helps identify and fix the root cause quickly. Here’s a simple breakdown to follow when pods won’t schedule: ✅ Check Node Resources – Scale up the cluster or optimize resource requests. ✅ Taints & Tolerations – Ensure workloads have the right tolerations. ✅ Node Selectors & Affinity – Verify affinity/anti-affinity rules. ✅ Persistent Volume Claims – Confirmstorage availability and capacity. ✅ Scheduler Errors – Analyze logs to resolve unexplained pending states. With this systematic approach, you can go from problem ➝ diagnosis ➝ solution efficiently. #Kubernetes #CloudComputing #DevOps #Troubleshooting #Containers

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𝟓 𝐒𝐭𝐞𝐩𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮 𝐭𝐨 𝐦𝐢𝐠𝐫𝐚𝐭𝐞 𝐭𝐡𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐃𝐨𝐜𝐤𝐞𝐫 𝐭𝐨 𝐤𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐭𝐞𝐩𝟏-Understand the Basics of Kubernetes Before you begin the migration process, it's important to understand the core components of Kubernetes: Pods: The smallest deployable units in Kubernetes, which can contain one or more containers. Deployments: A controller to manage stateless applications, ensuring the correct number of pods are running. Services: Expose your pods to the external network or other parts of the cluster. Volumes: For persistent storage, if needed. Namespaces: Used to organize and isolate resources within a Kubernetes cluster. 𝐒𝐭𝐞𝐩𝟐-Prepare Your Application a. Dockerfile Optimization Ensure your Dockerfile is optimized for Kubernetes. This includes making sure that: Your Docker image is small (use multi-stage builds if needed). The application in your Docker container is stateless (or the state is managed through external services like databases, object storage, etc.). Logging and monitoring are set up properly (consider using logging tools like Fluentd, Logstash, or other Kubernetes logging systems). 𝐒𝐭𝐞𝐩𝟑-Set Up a Kubernetes Cluster Local development: Use Minikube or Docker Desktop (Kubernetes is included with Docker Desktop). Cloud providers: Use managed Kubernetes services like AWS EKS, Google GKE, or Azure AKS. On-premise: Set up a Kubernetes cluster using kubeadm, or use solutions like Rancher or OpenShift. 𝐒𝐭𝐞𝐩𝟒-Create Kubernetes Configuration Files Kubernetes uses YAML files to describe the state of your application. Here are the common configuration files you'll need: a. Pod Definition In Kubernetes, containers are grouped into pods. apiVersion: v1 kind: Pod metadata: name: my-app-pod spec: containers: - name: my-app image: my-app-image:latest ports: - containerPort: 80 b. Deployment Definition A Deployment manages a set of identical pods. It ensures that a specified number of pods are always running. c. Service Definition A Service is used to expose your application to other services or external users. 𝐒𝐭𝐞𝐩𝟓-Deploy Your Application to Kubernetes kubectl apply -f deployment.yaml kubectl apply -f service.yaml

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✨ AWS Solutions Architect – Associate (SAA-C03) Exam with These 100 Scenario-Based Questions! Preparing for the AWS SAA-C03 certification? Put your knowledge to the test with these real-world, domain-aligned questions designed to challenge your architect-style thinking. Key Domains Covered: ✅ Resilient Architectures 🔲 Secure Architectures 🔲 High-Performance Architectures 🔲 Cost-Optimized Architectures What to Expect: 🔲 Which design ensures HIPAA compliance without exposing encryption keys? 🔲 How can you cache APIs across Availability Zones using weighted targets? 🔲 Should you opt for S3 pre-signed URLs, EventBridge, Athena, or FIFO queues for your use case? Each question comes with detailed explanations—because mastering AWS isn’t just about the "what," but the "why." 📢 Repost if someone on your team is prepping for SAA-C03! 🔗 Follow for more insights → Samir Kumar #AWSCertified #AWS #SAA #CloudComputing #AWSSolutionsArchitect #TechCertification #CareerGrowth #CloudArchitecture #AWSExamPrep #LinkedInLearning #CloudSkills

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If you are learning #Devops in 2025, I strongly recommend this TOOLS/PATH👇 📌Linux: Crucial for understanding server environments and working with most DevOps tools. 📌Networking Basics: Important for troubleshooting and understanding the flow of data in distributed systems. 📌Git: Version control is a must for collaboration and tracking code changes. 📌Python (optional for beginners) & Bash scripting: ✓ Python: A great tool for automation, scripting, and writing custom solutions. ✓ Bash scripting: Essential for automating routine tasks, managing servers, and working with Linux environments efficiently. 📌YAML: Widely used for configuration management and defining infrastructure as code (e.g., in Kubernetes, Ansible). 📌 Cloud (AWS, Azure or GCP): Cloud platforms are essential for deploying, scaling, and managing applications. 📌 Terraform: Infrastructure as code is key for provisioning resources in a repeatable, reliable and scalable way. 📌Docker: Containerization is foundational for consistent and portable application environments. 📌 Kubernetes: Orchestration of containers, essential for managing large-scale applications. 📌 GitHub Actions or Gitlab: (CI/CD) Continuous integration and deployment pipelines are essential for automating testing and deployment of your applications 📌 Ansible: Configuration management tool, great for automating setup, configuration and deployment of infrastructure. 📌 Prometheus & Grafana: Monitoring and alerting are crucial for ensuring application performance and reliability. Why? These tools are widely adopted in the industry, and mastering them will give you a strong position. As you progress, you can easily learn additional tools and technologies to enhance your DevOps skills. Do you agree? comment 👇 #devopsroadmap #cloud #techwithhelen

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******Some AWS Interview Question****** 1. What is the role of IAM roles and policies? 2. Can you explain the Terraform plan and its purpose? 3. What is AWS Lambda, and how does it work? 4. How do you invoke a Lambda function, and where do you configure it? 5. Can you describe how Lambda handles scaling and event-based invocations? 6. What is Amazon CloudWatch, and have you configured any custom metrics? 7. What metrics are available on your CloudWatch dashboard? 8. How do you configure CPU utilization on your CloudWatch dashboard? 9. How do you attach an SSL certificate to an S3 bucket? 10. What type of encryption have you implemented in your project? 11. If an S3 bucket has a read-only policy, can you modify objects in the bucket? 12. Why did you choose Terraform over Boto3 for infrastructure provisioning? 13. What is a Content Delivery Network (CDN), and how does it work? 14. Have you created a Jenkins pipeline for your project? 15. How do you attach policies to IAM users, either individually or by group? 16. What type of deployment strategies are you using in your project? 17. Have you used any tools to create customized Amazon Machine Images (AMIs)? 18. What is connection draining, and how does it work? 19. How does an Elastic Load Balancer (ELB) distribute traffic? 20. What is auto-scaling, and how does it work? 21. Can you describe the different types of Load Balancers and provide examples? 22. What is the maximum runtime for a Lambda function? 23. What is the maximum memory size for a Lambda function? 24. How can you increase the runtime for a Lambda function? 25. What automations have you performed using Lambda in your project? 26. Why did you choose Terraform over Boto3 for infrastructure provisioning? 27. What modules have you used in your Lambda function? 28. Have you created an SNS topic for your project? 29. If you've exhausted IP addresses in your VPC, how would you provision new resources? 30. What is Groovy, and how is it used in Jenkins? 31. Why do you use Groovy in Jenkins, and where do you save Jenkins files? 32. What is Ansible, and what is its purpose? 33. What language do you use in Ansible? 34. Where do you run Terraform code, remotely or locally? 35. What is the purpose of access keys and secret keys in AWS? 36. What are Terraform modules, and have you used any in your project? 37. What environments have you set up for your project? 38. Do you use the same AWS account for all environments? 39. Do you have separate Jenkins servers for each environment? 40. Where do you write and save your Lambda function code? #AWS #DevOps #Linux

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🧠 Terraform Best Practices Manual — Real-World DevOps at Scale This isn’t another “intro to Terraform” PDF. It’s a hands-on guide written by someone who’s been deep in the trenches — with real advice on how to structure your Terraform codebase across environments, teams, and clouds. What’s Inside: ✅ Directory structure for multi-account (dev, qa, prod) setups ✅ Module creation, versioning, and state separation ✅ Why NOT to rely on Terraform workspaces ✅ Tagging strategy (mandatory, optional, autogenerated) ✅ Naming conventions for portable, reusable infra ✅ AWS-specific examples for SQS, VPC, tagging policies 💡 Ideal for: • DevOps Engineers • Cloud Infrastructure Architects • Platform & SRE Teams • Anyone managing real infra on AWS, Azure, or Google Cloud 📌 Save this. Share with your team. Refer back before every architecture decision. Follow me for more battle-tested Terraform, AWS & DevOps resources every week. 👇 Drop “🚀” in the comments if you want a visual directory structure template next. #Terraform #TerraformModules #AWS #AWSCertified #AWSInfrastructure #InfrastructureAsCode #IaC #DevOps #DevOpsBestPractices #TerraformTips #CloudComputing #Azure #GoogleCloud #SRE #DevOpsArchitecture #HashiCorp #AWSCloud #TerraformState #MultiCloud #CloudEngineer #CloudStrategy #TechCommunity #FollowMeForMore #Automation #PlatformEngineering #CloudInfra #TerraformTagging #OpenSourceTools

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𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬 Learning Terraform commands is essential for efficient infrastructure management. These commands allow you to automate, plan, and apply changes to your infrastructure safely and effectively. By mastering Terraform, you can: Destroy resources with terraform destroy, ensuring clean resource cleanup. Plan changes with terraform plan, allowing for careful review before application. Update modules using terraform get, keeping your configuration current. Manage state through terraform state, giving you control over your infrastructure's state. View outputs with terraform show and terraform output, aiding in debugging and resource management. Import existing resources via terraform import, facilitating migration to Terraform management. Handle multiple environments using terraform workspace, enhancing environment segregation. Control resource lifecycle with terraform taint and terraform untaint, ensuring resources are correctly managed. Initialize configurations using terraform init, setting up your working directory for Terraform operations. Mastering these commands enhances your ability to manage infrastructure as code, improves deployment efficiency, and reduces the risk of errors, making Terraform an invaluable tool for modern DevOps practices. Credits to Satyender Sharma for this insightful creation. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐮𝐬 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 👉🏻 https://lnkd.in/e2sq98PN https://lnkd.in/e-9dJf8i 𝐅𝐨𝐥𝐥𝐨𝐰 𝐮𝐬 𝐨𝐧 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤 👉🏻 https://lnkd.in/eWcXVwAt 𝐅𝐨𝐥𝐥𝐨𝐰 𝐮𝐬 𝐨𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 👉🏻https://lnkd.in/ehA5ePqX

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