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

🟩 Docker Free Videos 🐬 🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing ❤️ Follow for more: @prodevopsguy

🔴 Architecture of a Kubernetes Cluster ☸️ A production-ready Kubernetes cluster is vastly complex. There are many non-negotiable such as High Availability, Fault Tolerance, data backups and durability requirements. Its architecture is divided into the Control Plane and Data Plane. This is what they do 👇

➡️ DATA PLANE The part of the cluster where all compute resources reside. This is where ultimately all your container applications run.

1️⃣Nodes The worker machines that actually run container workloads. These could be EC2 servers (or other cloud provider equivalents), bare-metal servers or even just your personal computer.

2️⃣Pods The smallest unit of compute that you can deploy in K8s. A Pod contains 1 or more containers running your application(s) and helper processes. A Pod runs inside a Node.

3️⃣Kubelet An agent that runs on every Node. It takes Pod specifications provided by the user and ensures that the Containers described in them are running and healthy.

4️⃣Kube-proxy Runs on every Node and manages network rules on the system to ensure network communication works smoothly between Pods and the outside world.

5️⃣Container Runtime Runs on all nodes and manages the lifecycle of container(s) deployed on them. Eg- Docker, CRI-O, etc.

➡️ CONTROL PLANE Does the administrative tasks of managing worker nodes, Pods and the cluster in general. It is basically the “brains” of the cluster that makes all decisions like scheduling, always steering the cluster towards the desired state (eg- spin up new pods in response to some pods going down to maintain the desired number of them).

🔢Kube-apiserver Exposes the Kubernetes API to the user. When you make an API request to Kubernetes or use a client like Kubectl, you request is handled by kube-apiserver and passed on for further processing.

🔢Etcd A consistent and highly available Key-value store used by Kubernetes for storing all cluster data. You should have a strong backup strategy for this datastore as it tracks all state of the cluster.

🔢Scheduler Responsible for placing Pods on to Nodes in the most optimal way possible. When a new Pod is requested, the scheduler looks for a suitable Node to run it in. Takes many different factors into consideration while scheduling, such as resource requirements, priority, user-specified criteria, etc.

🔢Controller Manager Runs Controllers. A Controller is a process that always steers the system toward a desired state. Eg- A Node controller monitors and responds when nodes go down.

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➡️Docker 🐬 and Kubernetes Free Videos 🟩 : ✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing ❤️ Follow for more: @prodevopsguy

🟩 AWS & DevOps Free Videos :– 🟩 🗯 Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing 🗯 Part -2: https://drive.google.com/drive/folders/1-9pCWtNrSwWW3Bgd0BjqfH_x0sfJcXvE?usp=sharing 🗯 Part -3 : https://drive.google.com/drive/folders/1OD3B97MfmlQbnBVB_PMbt5bb5mtjyQk9?usp=sharing ❤️ Follow for more: @prodevopsguy

https://harshhaa.hashnode.dev/deployment-of-super-mario-on-kubernetes-using-terraform Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

➡️ As a software professional, keeping up with the latest DevOps tools is essential for optimizing development and delivery. The right tools make teams more productive, applications more resilient, and organizations more innovative. Here are some of the most impactful DevOps tools I recommend learning in 🌟🌟: ✍️ Kubernetes: This open-source container orchestration system simplifies deploying and managing containerized applications. It allows scaling and balancing container workloads. ✍️ Terraform: Infrastructure as code is a must today. Terraform lets you define cloud and on-prem infrastructure in files and provision it automatically. ✍️ Docker: Containerizing apps with Docker packages software into standardized units along with dependencies to run anywhere consistently. It accelerates development. ✍️ Ansible: This configuration management and automation tool executes tasks across nodes via SSH without needing agents. It's simple yet powerful. ✍️ Prometheus: A top open-source monitoring and alerting solution that scrapes metrics and provides robust query capabilities with PromQL. ✍️ Grafana: The leading analytics and visualization platform for monitoring. It’s easy to create rich dashboards for operational insights. ✍️ ELK Stack: Combines Elasticsearch, Logstash, and Kibana for centralized logging, searching, and visualizing log data for troubleshooting. I aim to provide actionable insights on leading tools so you can advance your skills efficiently. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

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#WFH #Devops #Remote 📌 Profile - Devops engineer (#Azure ) ➡️ Exp - 2-4yrs ☄️ Remote #5daysworking ✉️ Interested candidates send mail their resume on manisha.sancheti@shalimar.com

🐬 Dockerfile Checklist 👇 Navigating the ✔️ best practices and ❌ DONT's while handling a Dockerfile 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

https://harshhaa.hashnode.dev/transform-kubernetes-manifests-into-helm-chart Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

#layoffsagain 😢

🔥 DevOps and Cloud Certifications - Tailored Combinations for Specialized Roles 👇 Navigating the certification landscape for 8 popular roles in DevOps and Cloud. 💯

1️⃣. 🚀 Cloud DevOps Engineer / Generalist: - Linux Foundation Certified Engineer - HashiCorp Certified Terraform Associate - Kubernetes and Cloud Native Associate - Certified Kubernetes Application Developer - Docker Certified Associate - Red Hat Certified Engineer - AWS DevOps Engineer Professional - Microsoft Certified: DevOps Engineer Expert - Google Cloud: Professional DevOps Engineer

2️⃣. 🏗 Cloud Solutions Architect: - Docker Certified Associate - Kubernetes and Cloud Native Associate - Certified Kubernetes Administrator - Linux Foundation Certified System Administrator - AWS Solutions Architect Professional - Microsoft Certified: Azure Solutions Architect Expert - Google Cloud: Professional Cloud Architect

3️⃣. 🔐 Cloud Security Specialist: - Certified Information Systems Security Professional - CompTIA Security+ - Certified Kubernetes Security Specialist - AWS Security Specialty - Microsoft Certified: Azure Security Engineer Associate - Google Cloud: Professional Security Engineer

4️⃣. ⚙️ Site Reliability Engineer: - Linux Foundation Certified Engineer - Kubernetes and Cloud Native Associate - Prometheus Certified Associate - AWS SysOps Administrator Associate - Microsoft Certified: Azure Administrator Associate - Google Cloud: Associate Cloud Engineer

5️⃣. 🛠 Platform Engineer: - Linux Foundation Certified Engineer - HashiCorp Certified Terraform Associate - Certified Kubernetes Administrator - Docker Certified Associate - Red Hat Certified Engineer - AWS DevOps Engineer Professional - Microsoft Certified: DevOps Engineer Expert - Google Cloud: Professional DevOps Engineer

6️⃣. ⚙️ Operations Engineer: - Linux Foundation Certified Engineer - Red Hat Certified Engineer - CompTIA Linux+ - AWS SysOps Administrator Associate - Microsoft Certified: Azure Administrator Associate - Google Cloud: Associate Cloud Engineer

7️⃣. 🌐 Network Engineer: - Juniper Networks Certified Professional (JNCIP-Cloud) - Cisco Certified Network Professional (CCNP) Cloud - AWS Advanced Networking Specialty - Microsoft Certified: Azure Network Engineer Associate - Google Cloud: Professional Network Engineer

8️⃣. 🤖 Machine Learning Engineer: - TensorFlow Developer Certificate - CompTIA Data+ - AWS Machine Learning Specialty - Microsoft Certified: Azure AI Engineer Associate - Google Cloud: Professional Machine Learning Engineer

✍️ Note: 1. Customize based on specific project and individual needs. 2. Pick a single or multi-cloud provider certification based on your preference. 🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

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🔔 DEVOPS HIRING ALERT!!

We are looking for seasoned DevOps Engineers (exp 2-6 yrs)with strong background in a 24x7 uptime Amazon AWS environment, automation experience with configuration management tools, monitoring tools, problem solving & scripting abilities.

➡️ Location: Gurgaon ✉️ Kindly share your updated resumes with anku.kumari@shiprocket.com

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