DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

𝐋𝐢𝐬𝐭 𝐨𝐟 𝐟𝐫𝐞𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐦𝐮𝐬𝐭 𝐭𝐫𝐲 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔢. 𝐏𝐲𝐭𝐡𝐨𝐧: A scripting language used for automation in DevOps. 🔗 https://lnkd.in/gTEsX2VC 🔢. 𝐆𝐢𝐭: Distributes version control system handles everything from small to very large projects with speed and efficiency. 🔗 https://lnkd.in/gFTyTWCC 🔢. 𝐂𝐥𝐨𝐮𝐝: Its fair to say the rapid increament of startUps is revolutionised by the cloud technology. 🔗 https://lnkd.in/gf6_8RNG 🔢. 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬: An approach of making a loosely coupled application. 🔗 https://lnkd.in/gYqdHCdF 🔢. 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬: Allows developers to build and run applications without worrying about servers. 🔗 https://lnkd.in/g8knM8uE 🔢. 𝐋𝐢𝐧𝐮𝐱: Probably the most famous primitive yet secure OS to use 🔗 https://lnkd.in/ghmZybpz 🔢. 𝐃𝐞𝐯𝐎𝐩𝐬: An exploding domain to learn (It is an ecosystem that takes care of continuous integration, delivery, deployment and monitoring) 🔗 https://lnkd.in/g6ryYv8N 🔢. 𝐃𝐨𝐜𝐤𝐞𝐫: Packages application along with dependencies and libraries required to run the application. 🔗 https://lnkd.in/ggaqmu8p 🔢. 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐎𝐩𝐞𝐧𝐒𝐡𝐢𝐟𝐭: Manages the deployment of an application and have autoscaling and autohealing capabilities. 🔗 https://lnkd.in/gsKYTciW 🔢🔢. 𝐌𝐲𝐒𝐐𝐋: Relational Database Management System 🔗 https://lnkd.in/gbmjQcsD 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔔 Here is a list of some Resume Ready DevOps projects.(Part-III) 🔔 (Part-II) - LINK | (Part-I) - LINK ➡️ Deploying Super Mario on Amazon EKS 🔗 (https://lnkd.in/d2JVCw6M) ➡️ 🚀 Designing a 10-Microservices Application Deployment on EKS! 🤖 🔗 (https://lnkd.in/dFuq9mMA) ➡️ Uber Clone DevSecOps Project 🔗 (https://lnkd.in/dTXm9_h9) ➡️ 3-Tier Robot Shop App On EKS 🔗 (https://lnkd.in/dtFK8Xj7) ➡️ Full Stack CICD Virtual Browser Project 🔗 (https://lnkd.in/d2ZErR2b) 💬 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔔 Here is a list of some Resume Ready DevOps projects (Part-II) ➡️ Real-Time CI CD Pipeline From Scratch with Jenkins:- 🔗 https://lnkd.in/day6k4GE ➡️ Creating AWS EKS Cluster using Terraform:- 🔗 https://lnkd.in/gjtjHuw4 ➡️ Cost Optimization through AWS Lambda Function:- 🔗 https://lnkd.in/drDazJ9E ➡️ AWS Ninja — Convert EBS Volume from gp2 to gp3:- 🔗 https://lnkd.in/d6mUFdEK ➡️ Real-World CI/CD DevSecOps Pipeline for Deployment of Python Web-app:- 🔗 https://lnkd.in/d-TJisDn ➡️ AWS S3 Event Triggering Shell Script Used by Netflix, Airbnb, Adobe, Expedia, and Others :- 🔗 https://lnkd.in/dXhzdwP8 ➡️ Deploy Multi Stage CICD Pipeline with Amazon EKS :- 🔗 https://lnkd.in/dEn7Vexj ➡️ Deploying Spring Boot application on K8S :- 🔗 https://lnkd.in/d8E_N_eg ➡️ Netflix Clone application via K8's:- 🔗 https://lnkd.in/d2zBUdMG 🔗 https://lnkd.in/dPVTDK9r ➡️ Deploy a Flask Application to a EKS Cluster using Jenkins and ArgoCD :- 🔗 https://lnkd.in/dn8WtnWj 🔵 Follow for more: @prodevopsguy

🔥 Here is a list of some Resume Ready DevOps projects. 1⃣ 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗜𝗖𝗗 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 🔗 https://lnkd.in/gbDBEASe 🔢 𝗗𝗲𝗽𝗹𝗼𝘆 𝗝𝗮𝘃𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 🔗 https://lnkd.in/gSJaF4VN 🔢 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗦𝗲𝘁𝘂𝗽 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 { 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 | 𝗡𝗲𝘅𝘂𝘀 | 𝗦𝗼𝗻𝗮𝗿𝗾𝘂𝗯𝗲 | 𝗧𝗼𝗺𝗰𝗮𝘁 | 𝗠𝗮𝘃𝗲𝗻 } 🔗 https://lnkd.in/gvDYKMxV 🔢 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗜𝗖𝗗 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 🔗 https://lnkd.in/g-eaM_EA 🔢 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗳𝗼𝗿 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝗦 𝗨𝘀𝗶𝗻𝗴 𝗝𝗲𝗻𝗸𝗶𝗻𝘀, 𝗚𝗶𝘁𝗛𝘂𝗯, 𝗮𝗻𝗱 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝗥 🔗 https://lnkd.in/gN7WXAnX 🔢 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴 𝟮-𝘁𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝟯-𝘁𝗶𝗲𝗿𝘀 𝗔𝗪𝗦 𝗩𝗣𝗖 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 🔗 https://lnkd.in/g2Y_Nk6N 🔢 𝗕𝗲𝘀𝘁 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗙𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 🔗 https://lnkd.in/gF93WwrB 🔢 𝗘𝗻𝗱 𝘁𝗼 𝗘𝗻𝗱 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘂𝘀𝗶𝗻𝗴 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 🔗 https://lnkd.in/gB-Vvi7r 🔢 𝗖𝗿𝗲𝗮𝘁𝗲, 𝗽𝘂𝗯𝗹𝗶𝘀𝗵, 𝗮𝗻𝗱 𝘀𝘁𝗼𝗿𝗲 𝗡𝗴𝗶𝗻𝘅 𝗗𝗼𝗰𝗸𝗲𝗿 𝗶𝗺𝗮𝗴𝗲 𝗶𝗻 𝗔𝗪𝗦 𝗦𝟯 𝘂𝘀𝗶𝗻𝗴 𝗗𝗼𝗰𝗸𝗲𝗿 𝗮𝗻𝗱 𝗕𝗮𝘀𝗵 🔗 https://lnkd.in/g4iUncv9 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 Unlock the Power of Kubernetes Scaling Strategies! 🚀 Looking to optimize your Kubernetes deployment for peak performance? Explore these cutting-edge scaling strategies: 1⃣. Horizontal Pod Autoscaling (HPA): Effortlessly adjust pod counts based on CPU usage and more. 2⃣. Vertical Pod Autoscaling (VPA): Fine-tune CPU and memory resources for optimal efficiency. 3⃣. Cluster Autoscaling: Dynamically scale your cluster to meet workload demands in real-time. 4⃣. Manual Scaling: Take control with manual replica adjustments using simple commands. 5⃣. Predictive Scaling: Harness AI to predict future demands and scale proactively with tools like PredictKube. 6⃣. Custom Metrics Based Scaling: Tailor scaling based on custom metrics beyond CPU and memory. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📌 Who said Kubernetes is simple. 😂 ➡️ Before you dream of Kubernetes auto pilot, you should have this covered: 🔣 CI/CD pipelines? Done 🔣 Per app IAM roles? Done 🔣 Pod security policies? Done 🔣 Load balancing rules? Done 🔣 Secrets management? Done 🔣 Cluster health checks? Done 🔣 CRDs for extensibility? Done 🔣 Disaster recovery plans? Done 🔣 High availability setups? Done 🔣 Role-based access control? Done 🔣 Multi-tenancy architectures? Done 🔣 Proactive capacity planning? Done 🔣 Persistent storage solutions? Done 🔣 Cost management strategies? Done 🔣 Service mesh implementation? Done 🔣 Network wide service discovery? Done 🔣 Apps Dependency management? Done 🔣 Container vulnerability scanning? Done 🔣 Per app network security policies? Done 🔣 Resource monitoring and logging? Done 🔣 Zero downtime Update strategies? Done 🔣 Machine pool isolation for services? Done 🔣 Compliance and governance checks? Done 🔣 Pod communication network policies? Done 🔣 Deployment versioning and rollbacks? Done 🔣 Fleet-wide config updates in real-time? Done 🔣 Path-based HTTP routing within cluster? Done 🔣 Efficient resources labeling and tagging? Done 🔣 Economical deployment on spot instances? Done 🔣 Auto-scaling based on performance metrics? Done Otherwise, you risk falling into a pattern of reactive responses, never fully seizing the initiative. It's like starring in your own tech horror show. 😅 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

Let's face it: the only thing more relentless than the pace of innovation in DevOps is our collective ability to find excuses not to keep up with it! 🏃💨 Embrace the chaos, love the learning, and remember: if DevOps feels like it's pushing you out of your comfort zone, it's probably because your comfort zone could use a bit of cloud-based scalability and automation. 😜 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

✅Terraform commands used on a daily basis: ✨ 1. terraform init: - Initializes a working directory containing Terraform configuration files. 2. terraform plan: - Generates an execution plan, outlining actions Terraform will take. 3. terraform apply: - Applies the changes described in the Terraform configuration. 4. terraform destroy: - Destroys all resources described in the Terraform configuration. 5. terraform validate: - Checks the syntax and validity of Terraform configuration files. 6. terraform refresh: - Updates the state file against real resources in the provider. 7. terraform output: - Displays the output values from the Terraform state. 8. terraform state list: - Lists resources within the Terraform state. 9. terraform show: - Displays a human -readable output of the current state or a specific resource’s state. 10. terraform import: - Imports existing infrastructure into Terraform state. 11. terraform fmt: - Rewrites Terraform configuration files to a canonical format. 12. terraform graph: - Generates a visual representation of the Terraform dependency graph. 13. terraform providers: - Prints a tree of the providers used in the configuration. 14. terraform workspace list: - Lists available workspaces. 15. terraform workspace select: - Switches to another existing workspace. 16. terraform workspace new: - Creates a new workspace. 17. terraform workspace delete: - Deletes an existing workspace. 18. terraform output: - Retrieves output values from a module. 19. terraform state mv: - Moves an item in the state. 20. terraform state pull: - Pulls the state from a remote backend. 21. terraform state push: - Pushes the state to a remote backend. 22. terraform state rm: - Removes items from the state. 23. terraform taint: - Manually marks a resource for recreation. 24. terraform untaint: - Removes the ‘tainted’ state from a resource. 25. terraform login: - Saves credentials for Terraform Cloud. 26. terraform logout: - Removes credentials for Terraform Cloud. 27. terraform force -unlock: - Releases a locked state. 28. terraform import: - Imports existing infrastructure into your Terraform state. 29. terraform plan -out: - Saves the generated plan to a file. 30. terraform apply -auto -approve: - Automatically applies changes without requiring approval. 31. terraform apply -target=resource: - Applies changes only to a specific resource. 32. terraform destroy -target=resource: - Destroys a specific resource. 33. terraform apply -var=”key=value”: - Sets a variable’s value directly in the command line. 34. terraform apply -var -file=filename.tfvars: - Specifies a file containing variable definitions. 35. terraform apply -var -file=filename.auto.tfvars: - Automatically loads variables from a file. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

♾ 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐭𝐨𝐨 𝐬𝐥𝐨𝐰? 𝐂𝐈/𝐂𝐃 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐥𝐚𝐮𝐧𝐜𝐡𝐩𝐚𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞! 🚀 Are endless manual deployments and sluggish release cycles holding your team back? You're not alone! But fear not, there's a solution that can turn your development process into a well-oiled machine: CI/CD (Continuous Integration/Continuous Delivery). The benefits are out of this world: ⏩Faster releases: Get features to users sooner, keeping them engaged and competitive. ⏩Improved quality: Catch and fix bugs early, reducing downtime and frustration. ⏩Happier developers: Less manual work means more time for innovation and creativity. 🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

♾ Continuous Delivery vs. Continuous Deployment ➡️ Continuous Delivery: It ensures that your code changes are always deployable, providing a reliable and automated process for building, testing, and preparing for release. However, the deployment to production is a manual step, allowing for human intervention and control over when changes go live. ➡️ Continuous Deployment: It takes automation to the next level by automatically deploying every successful change to production. This means that once code passes all tests and checks, it's automatically pushed into production without the need for manual intervention. ⭐ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🚀 𝗡𝗼𝗱𝗲𝗣𝗼𝗿𝘁 𝘃𝘀 𝗟𝗼𝗮𝗱𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 - 𝗠𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗖𝗵𝗼𝗶𝗰𝗲 🚀 Navigating Kubernetes services? Understanding when to use NodePort 🆚 LoadBalancer is crucial! 🔖 NodePort is your go-to for development, testing, or smaller-scale environments. It's simple and universal, exposing services on each node's IP at a specific port. It is ideal when external load balancers are overkill. 🔖 LoadBalancer steps in for production-grade needs, especially in cloud environments. It leverages cloud-provider capabilities for robust load balancing, offering advanced features like SSL termination and consistent external IPs. 💡 Choose wisely: - NodePort for simplicity and cost-effectiveness. - LoadBalancer for scalability and advanced features. 🌐 Whether you're a DevOps pro or a Kubernetes newcomer, making the right choice between NodePort and LoadBalancer can streamline your deployments and optimize resource usage. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔣 List of Kubernetes commands: 🔣 ➡️ ReplicaSets Management kubectl create -f <replicaset-definition.yaml>: Create a ReplicaSet. kubectl get replicasets: List all ReplicaSets. kubectl describe replicaset <replicaset-name>: Describe a specific ReplicaSet. kubectl scale replicaset <replicaset-name> –replicas=<replica-count>: Scale a ReplicaSet. ➡️ Service Management kubectl create service <service-type> <service-name> –tcp=<port>: Create a service. kubectl get services: List all services. kubectl expose deployment <deployment-name> –port=<port>: Expose a deployment as a service. kubectl describe service <service-name>: Describe a specific service. kubectl delete service <service-name>: Delete a service. kubectl get endpoints <service-name>: Get information about a service. ➡️ Config Maps and Secrets kubectl create configmap <config-map-name> –from-file=<path-to-file>: Create a config map from a file. kubectl create secret <secret-type> <secret-name> –from-literal=<key>=<value>: Create a secret. kubectl get configmaps: List all config maps. kubectl get secrets: List all secrets. kubectl describe configmap <config-map-name>: Describe a specific config map. kubectl describe secret <secret-name>: Describe a specific secret. kubectl delete secret <secret_name>: Delete a specific secret. kubectl delete configmap <config-map-name>: Delete a specific config map. ➡️ Networking kubectl port-forward <pod-name> <local-port>:<pod-port>: Port forward to a pod. kubectl expose deployment <deployment-name> –type=NodePort –port=<port>: Expose a deployment as a NodePort service. kubectl create ingress <ingress-name> –rule=<host>/<path>=<service-name> –<service-port>: Create an Ingress resource. kubectl describe ingress <ingress-name>: Get information about an Ingress. kubectl get ingress <ingress-name> -o jsonpath='{.spec.rules[0].host}’: Retrieves the most value from the first rule of the specified Ingress resource. ➡️ Storage kubectl create -f <persistent-volume-definition.yaml>: Create a PersistentVolume. kubectl get pv: List all PersistentVolumes. kubectl describe pv <pv-name>: Describe a specific PersistentVolume. kubectl create -f <persistent-volume-claim-definition.yaml>: Create a PersistentVolumeClaim. kubectl get pvc: List all PersistentVolumeClaims. kubectl describe pvc <pvc-name>: Describe a specific PersistentVolumeClaim. ➡️ StatefulSets kubectl create -f <statefulset-definition.yaml>: Create a StatefulSet. kubectl get statefulsets: List all StatefulSets. kubectl describe statefulset <statefulset-name>: Describe a specific StatefulSet. kubectl scale statefulset <statefulset-name> –replicas=<replica-count>: Scale a StatefulSet. ➡️ Monitoring and Troubleshooting kubectl get events: Check cluster events. kubectl get component statuses: Get cluster component statuses. kubectl top nodes: Get resource utilization of nodes. kubectl top pods: Get resource utilization of pods. kubectl debug <pod-name> -it –image=<debugging-image>: Enable container shell access debugging. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs