🚨 To strengthen your Kubernetes practical experience...

⭐️ You Should Know these 9 Kubernetes Open Source Github Repos

𝟭. 𝗥𝗼𝗼𝗸:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Storage
𝘙𝘦𝘱𝘰: https://lnkd.in/gvEq8kXD

𝟮. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Runtime
𝘙𝘦𝘱𝘰: https://lnkd.in/gvkKhqv7

𝟯. 𝗖𝗶𝗹𝗶𝘂𝗺:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Network
𝘙𝘦𝘱𝘰: https://lnkd.in/gggWeZzP

𝟰. 𝗞𝘂𝗯𝗲𝗘𝗱𝗴𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Automation & Configuration
𝘙𝘦𝘱𝘰: https://lnkd.in/gavND-7s

𝟱. 𝗖𝗿𝗼𝘀𝘀𝗽𝗹𝗮𝗻𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Scheduling & Orchestration
𝘙𝘦𝘱𝘰: https://lnkd.in/gvw4VMS9

𝟲. 𝗛𝗮𝗿𝗯𝗼𝗿:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Registry
𝘙𝘦𝘱𝘰: https://lnkd.in/g-sERvjv

𝟳. 𝗙𝗮𝗹𝗰𝗼:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Security & Compliance
𝘙𝘦𝘱𝘰: https://lnkd.in/g2yAc_AJ

𝟴. 𝗧𝗲𝗹𝗲𝗽𝗼𝗿𝘁:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Key Management
𝘙𝘦𝘱𝘰: https://lnkd.in/gW24Wm5z

𝟵. 𝗟𝗶𝗻𝗸𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Service Mesh
𝘙𝘦𝘱𝘰: https://lnkd.in/gNUdKEsz


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Bash Scripting Basics 📜

➡️Are you looking to automate repetitive tasks and improve efficiency? Look no further than Bash scripting! Bash, a command-line interpreter widely used in Unix-like operating systems, allows you to create and execute a series of commands in a personalized computing environment.

➡️Bash scripting offers several benefits, including automation of routine tasks, system administration, and batch processing of complex tasks. Additionally, Bash is available on most Unix-like systems, providing script portability across different environments.

➡️Cloud platforms also reap the benefits of Bash scripting. Infrastructure as Code (IaC) and automated deployment of applications and services on cloud servers are just a few use cases. Bash scripts can also facilitate dynamic resource scaling based on demand, optimize performance and cost, and automate backup processes to safeguard data on cloud storage.

➡️Enhance your cloud management with Bash scripting's ability to automate monitoring tasks, generate logs, and trigger alerts. Are you ready to improve your efficiency and streamline your processes? Consider Bash scripting for your next project.


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

☄️ 𝗕𝗲𝘀𝘁 𝐘𝐨𝐮𝐭𝐮𝐛𝐞 📱 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 ♾


🌐 LogicOps Lab by Ravish Rawat ( Real time Interview's )
🔗 https://lnkd.in/g3rtbjHb

🌐 Real time projects @mr.cloudbook
🔗 https://lnkd.in/gWWqHnJx

🌐 Train With Shubham by Shubham Londhe
🔗 https://lnkd.in/g9SwADkB

🌐 Tech Tutorials with Piyush by Piyush sachdeva (Azure and GCP cloud)
🔗 https://lnkd.in/g4iWpScc

🌐 TechWorld With Nana by Nana Janashia
🔗 https://lnkd.in/g7iFKKb9

🌐 KodeKloud by Mumshad Mannambeth
🔗 https://lnkd.in/g2jdc__p

🌐 Stéphane Maarek
🔗 https://lnkd.in/gzSbeKFt

🌐 Technical Guftgu by Bhupinder Rajput l भूपिंदर राजपूत l بھوپندر راجپوت In Hindi
🔗 https://lnkd.in/g8FYMCAS

🌐 Cloud Advocate by Krishna Chaitanya Gadhiraju (GK)
🔗 https://lnkd.in/giNb536Y

🌐 Abhishek Veeramalla
🔗 https://lnkd.in/gMfRacqy

🌐 Cloud Champ by Nasiullha Chaudhari
🔗 https://lnkd.in/gYUQ4r5x

🌐 Praveen Singampalli
🔗 https://lnkd.in/gVAeX8dZ


🔵 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

100 Terms & Services which every DevOps ♾ Engineer should be aware of:

1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🛡 Kubernetes Networking ~ 🚧

Kubernetes networking is a critical aspect of managing containerized applications in a distributed environment. It ensures that containers within a Kubernetes cluster can communicate with each other, with external users, and with other services smoothly.

Let's explore the key concepts and components of Kubernetes networking:

🔴 Pod Networking:
- Pods share the same network namespace and can communicate via localhost.
- Kubernetes assigns each Pod a unique IP address for inter-node communication.
🔴 Service Networking:
- Services provide stable endpoints for accessing Pods.
- ClusterIP, NodePort, and LoadBalancer are common Service types for internal and external access.
🔴 Ingress Networking:
- Ingress manages external access to Services based on HTTP/HTTPS rules.
- Ingress controllers handle traffic routing to Services within the cluster.
🔴 Network Policies:
- This defines rules for Pod-to-Pod communication and access to external resources.
- It enables fine-grained control over network traffic within the cluster.
🔴 Container Network Interface (CNI):
- A standard for defining plugins that handle networking in container runtimes.
- Used by Kubernetes to manage network interfaces and IP addresses.
🔴 Networking Plugins:
- Kube-Proxy manages network rules for routing traffic to Services.
- CoreDNS resolves DNS queries for Kubernetes Services and Pods.

Understanding Kubernetes networking is essential for deploying and managing containerized applications effectively within a Kubernetes cluster

😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚡️ AWS INTERVIEW QUESTIONS: ⁉️

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐂2:

🟢 What is the difference between EC2 and traditional virtualization?
🟢 Explain the concept of Elastic Load Balancing and how it works with EC2 instances.
🟢 How can you encrypt EBS volumes?
🟢 What is Amazon EC2 Container Service, and how does it work?
🟢 How do you create a custom AMI, and when would you need to do so?
🟢 Explain the concept of EC2 instance metadata.
🟢 How can you deploy a multi-tier architecture on EC2 instances?
🟢 What is an EC2 Placement Group, and when would you use it?
🟢 How can you automate EC2 instance launches using AWS CLI or SDKs?
🟢 Explain the differences between horizontal and vertical scaling in the context of EC2.
🟢 How do you troubleshoot an unresponsive EC2 instance?

➡️ 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚:

🟢 What is the maximum execution time for a Lambda function, and how can you extend it?
🟢 Explain the concept of Cold Start in AWS Lambda and how to mitigate it.
🟢 How does AWS Lambda handle asynchronous event processing?
🟢 What is the AWS Lambda Execution Environment?
🟢 Explain the concept of Dead Letter Queues in AWS Lambda.
🟢 How can you share code between multiple Lambda functions?
🟢 What are the considerations for securing environment variables in Lambda functions?
🟢 How can you integrate AWS Lambda with other AWS services?
🟢 What is the difference between Provisioned Concurrency and On-demand Concurrency in Lambda?
🟢 Explain the limitations of AWS Lambda.
🟢 How can you monitor and log AWS Lambda function execution?

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒3:

🟢 What is the maximum size of an S3 object, and how can you store larger files?
🟢 Explain the concept of eventual consistency in S3.
🟢 How does S3 handle versioning conflicts?
🟢 What is the difference between S3 Transfer Acceleration and Direct Connect?
🟢 How can you enable Cross-Origin Resource Sharing (CORS) for an S3 bucket?
🟢 What is the significance of the S3 Inventory feature?
🟢 Explain the use cases for S3 Transfer Acceleration.
🟢 How can you enforce encryption for data at rest in an S3 bucket?
🟢 What is the AWS Snowball service, and when would you use it for data transfer?
🟢 How do you implement data lifecycle policies in S3?

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐃𝐲𝐧𝐚𝐦𝐨𝐃𝐁:

🟢 Explain the differences between DynamoDB and Apache Cassandra.
🟢 What is the difference between DynamoDB Local and the actual DynamoDB service?
🟢 How can you implement fine-grained access control for DynamoDB tables?
🟢 Explain the concept of adaptive capacity in DynamoDB.
🟢 What is the importance of partition key design in DynamoDB?
🟢 How do you handle hot partitions in DynamoDB?
🟢 Explain the differences between DynamoDB Streams and Cross-Region Replication.
🟢 What is the difference between a scan and query operation in DynamoDB?
🟢 How do you implement global secondary indexes in DynamoDB?
🟢 What is DAX (DynamoDB Accelerator), and how does it improve DynamoDB performance?
🟢 Explain the considerations for backups and restores in DynamoDB.


🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

➡️ Here’s a small list of Kubernetes topics you will be learning vs what you will be performing in an actual job:

⭐️ Basics you will learn first by your-self / courses:

1. Kubernetes Fundamentals:
- Understanding Kubernetes architecture
- Pods, Nodes, and Clusters
- Namespaces

2. Setup and Configuration:
- Installing Minikube or Kubernetes on local machine
- Understanding kubeadm, kops, and kubectl

3. Basic Objects and Concepts:
- Deployments
- Services
- ReplicaSets
- ConfigMaps and Secrets

4. Networking:
- Cluster IP
- NodePort
- LoadBalancer
- Ingress basics

5. Storage:
- Persistent Volumes (PV)
- Persistent Volume Claims (PVC)
- Storage Classes

6. Basic Usage:
- Creating and managing pods
- Scaling applications
- Rolling updates and rollbacks
- Basic troubleshooting

7. Security:
- Role-Based Access Control (RBAC)
- Service Accounts

8. Monitoring and Logging:
- Basics of monitoring with Prometheus
- Logging with Elasticsearch, Fluentd, and Kibana (EFK stack)

9. Understanding YAML:
- Writing basic YAML files for Kubernetes objects

⏩Usual production tasks:

1. Deployments:
- Blue/Green deployments
- Canary deployments
- A/B testing

2. Networking:
- Service Meshes (Istio, Linkerd)
- Network Policies
- Advanced Ingress configurations
- CNI plugins (Calico, Flannel, Weave)

3. Storage:
- StatefulSets
- Dynamic provisioning
- CSI (Container Storage Interface)

4. Security:
- Pod Security Policies
- Network Policies
- Secrets management (Vault, Sealed Secrets)
- Image security and scanning (Trivy, Clair)

5. Advanced Configuration:
- Helm and Helm Charts
- Kustomize
- Operators and CRDs (Custom Resource Definitions)

6. Performance Tuning:
- Resource limits and requests
- Horizontal Pod Autoscaler (HPA)
- Vertical Pod Autoscaler (VPA)
- Cluster Autoscaler

7. Monitoring and Logging:
- Advanced Prometheus configuration
- Alerting with Alertmanager
- Distributed tracing (Jaeger, OpenTelemetry)
- Centralized logging

8. Cluster Management:
- Multi-cluster management
- Federation
- Backup and restore strategies

9. CI/CD Pipelines:
- Integrating CI/CD with Kubernetes (Jenkins X, Tekton)
- GitOps (ArgoCD, Flux)

10. Disaster Recovery:
- Backup and restore strategies
- High availability and failover planning

11. Scaling and Capacity Planning:
- Handling large-scale deployments
- Capacity planning and resource optimization

12. Service Catalog and Broker:
- Using the Kubernetes service catalog
- Integrating external services

13. Compliance and Auditing:
- Auditing with Kubernetes
- Ensuring compliance with regulatory requirements

14. Troubleshooting:
- Debugging complex issues
- Analyzing logs and metrics
- Using tools like k9s, kubectl-debug, and lens

15. Cost Management:
- Cost optimization strategies
- Using tools like Kubecost


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥 Ansible Commands which DevOps Engineers use on daily bases: 🔣

1. ansible-playbook: Executes Ansible playbooks.
ex: ansible-playbook -i <inventory_file> <playbook.yml>

2. ansible: Runs ad-hoc commands or tasks.
ex: ansible all -m copy -a "src=/path/to/local/file dest=/path/to/remote/file"
ansible all -m yum -a "name=httpd state=latest"

3. ansible-galaxy: Manages Ansible roles.
ex: ansible-galaxy install <role_name>

4. ansible-vault: Manages encrypted data within Ansible.
ex: ansible-vault encrypt <file>

5. ansible-galaxy init role_name: Initializes a new Ansible role scaffold.
ex: ansible-galaxy init <role_name>

6. ansible-inventory: Shows Ansible's inventory.
ex: ansible-inventory --list -i /path/to/inventory/hosts

7. ansible-config: Manages Ansible configuration.
ex: ansible-config list, ansible-config view

8. ansible-pull: Pulls playbooks from a version control system and executes them locally.
ex: ansible-pull -U <repository_url> <playbook.yml>

9. ansible-playbook --syntax-check: Checks playbook syntax without executing.
ex: ansible-playbook --syntax-check <playbook.yml>

10. ansible-playbook --list-hosts: Lists hosts defined in a playbook.
ex: ansible-playbook --list-hosts playbook.yml

11. ansible-playbook --tags: Runs specific tagged tasks within a playbook.
ex: ansible-playbook --tags=tag1,tag2 playbook.yml

12. ansible-playbook --limit: Limits playbook execution to specific hosts or groups.
ex: ansible-playbook --limit=<host_pattern> <playbook.yml>

13. ansible-vault edit: Edits an encrypted file.
ex: ansible-vault edit secrets.yml

14. ansible-doc: Displays documentation for Ansible modules.
ex: ansible-doc <module_name>

15. ansible-config view: Displays the current Ansible configuration.
ex: ansible-config view

16. ansible-config dump: Dumps the current Ansible configuration variables.
ex: ansible-config dump

17. ansible-config list: Lists configuration settings.
ex: ansible-config list

18. ansible-console: Starts an interactive console for executing Ansible tasks.
ex: ansible-console

19. ansible-lint: Lints Ansible playbooks for best practices and potential errors.
ex: ansible-lint <playbook.yml>

20. ansible-vault encrypt_string: Encrypts a string for use in a playbook.
ex: ansible-vault encrypt_string <string>

21. ansible-vault rekey: Rekeys an encrypted file with a new password.
ex: ansible-vault rekey <file>


⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔣 Docker is a powerful tool that allows you to package your application and its dependencies into a standardized unit called a container.

👉 𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 𝗼𝗳 𝗵𝗼𝘄 𝗗𝗼𝗰𝗸𝗲𝗿 𝘄𝗼𝗿𝗸𝘀:

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 are self-contained units that package your application code, runtime, system tools, settings, and libraries. They're like tiny virtual machines, but they share the underlying operating system kernel with other containers, making them much more lightweight and efficient.

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝗶𝗺𝗮𝗴𝗲𝘀 are blueprints that contain instructions for creating containers. They're kind of like recipes that tell Docker how to build a container with all the necessary ingredients. You can find and share images on public registries like Docker Hub, or create your custom images.

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝗱𝗮𝗲𝗺𝗼𝗻 (𝗱𝗼𝗰𝗸𝗲𝗿𝗱) is the engine that builds, runs, and manages Docker containers. It's the behind-the-scenes workhorse that makes everything tick.

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝗰𝗹𝗶𝗲𝗻𝘁 (𝗱𝗼𝗰𝗸𝗲𝗿 𝗖𝗟𝗜) is the tool you use to interact with the Docker daemon. It allows you to build, run, stop, and manage your containers using commands or a graphical user interface (GUI).

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗶𝗲𝘀 are repositories that store and share Docker images. Think of them as libraries for Docker images. Docker Hub is the most popular public registry, but there are also private registries that organizations can use to store their custom images.

➡️𝗗𝗼𝗰𝗸𝗲𝗿 𝘀𝘁𝗼𝗿𝗮𝗴𝗲 𝗱𝗿𝗶𝘃𝗲𝗿𝘀 manage how data is stored and persisted within containers. The default storage driver is overlay2, but there are other options available, such as aufs, zfs, and btrfs.

➡️𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗼𝗿𝘀 like Kubernetes and Swarm are tools that help you manage and scale large deployments of Docker containers. They take care of provisioning, scheduling, and healing your containers, making it easier to run complex applications in production.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔥 AWS Cloud ☁️ 🆓 Videos 📷


🟡 Part 1: https://drive.google.com/drive/folders/17Q3Tf3PEfmq_cGM97brqO3oCR0EPLFC8?usp=sharing

🟡 Part 2: https://drive.google.com/drive/folders/1bl8WhtUkWUXQh4XSm8_Nhf6Ykqu5rY-3?usp=sharing


❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🟩 🌐 Git/GitHub Free Videos:- 🟩

🔥 ➡️https://drive.google.com/drive/folders/1vhSsxz9oAtSh136JVo3gryaDPJAYWteF?usp=sharing

❤️ Follow for more: @prodevopsguy

➡️🐧 Linux Free Videos 🟩 :

✅Link: https://drive.usercontent.google.com/download?id=1MSo7Iwv0Xwe5bjg5fTcmjnxatULfhfLA&export=download&authuser=0


❤️ Follow for more: @prodevopsguy // Follow for DevOps DOCs: @devopsdocs

How to Get Into DevOps?

There isn't a one-size-fits-all path to DevOps.

If you come from a background in development, QA, performance, or support, you should focus on learning about the Cloud, infrastructure automation, container orchestration, and CI/CD.

Most importantly, you must work on real-world use cases.

If you are a fresher, you must concentrate on IT fundamentals, programming, OS concepts, Cloud, and Containers.

Getting a job in the DevOps domain as a newcomer can be challenging. Internships are a good starting point.

This is because most companies (primarily service-based) seek experienced individuals who can immediately contribute to projects.

As the well knowledged person, I've noticed that clients always prefer hiring experienced professionals.

Dedicate yourself to learning and avoid shortcuts.

With hard work, luck will naturally come your way. ☺️


🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚨 Everyone says, 'The best way to learn AWS is to build in the cloud.'

BUT...

'How? Where can I get a sample project?' This is the most common question I hear from aspiring and existing cloud engineers.

➡️ Here are 10 handpicked projects you can build for FREE:

➡️ Build a Serverless Web Application: https://lnkd.in/gCgdvmYK

➡️ Create Continuous Delivery Pipeline: https://lnkd.in/gSw_zaVM

➡️ Create and Connect to a MySQL Database with Amazon RDS: https://lnkd.in/gksv8u92

➡️ Amazon EC2 Backup and Restore Using AWS Backup: https://lnkd.in/gxXBasme

➡️ Batch Upload Files to Amazon S3 Using the AWS CLI: https://lnkd.in/gegNihnk

➡️ Deploy a Web App on AWS Amplify: https://lnkd.in/gPdaC65x

➡️ Remotely Run Commands on an EC2 Instance with AWS Systems Manager: https://lnkd.in/gGvd4SZ7

➡️ Detect, Analyze, and Compare Faces with Amazon Recognition: https://lnkd.in/g478VkKm

➡️ Create an Audio Transcript with Amazon Transcribe: https://lnkd.in/gukPRryX

➡️ Analyze insights in text with Amazon Comprehend: https://lnkd.in/gw-miUPm

⛔ SHARE if this was helpful to you - to benefit others ♻️


🛒 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

➡️ Let's compare Azure and AWS to help you decide which one might be better for beginners:

1. Market Share:
➡️Azure: Holds a 24% share of the worldwide market.
➡️AWS: Has a 31% share of the global computing market[1].

2. Availability Zones:
➡️Azure: Offers 140 availability zones.
➡️AWS: Provides 105 availability zones[1].

3. Storage Services:
➡️Azure:
Blob Storage
Containers
Azure Drive
Table Storage

➡️AWS:
S3 Buckets
EBS (Elastic Block Store)
SDB domains
DynamoDB

4. Networking Services:
➡️Azure:
Virtual Network
Azure Connect
Balancing Endpoints

➡️AWS:
Virtual Private Cloud (VPC)
Route 53
ELB (Elastic Load Balancing)

5. Security and Permissions:
➡️Azure: Offers permissions on the whole account.
➡️AWS: Provides security using defined roles with permission control features.

6. Ease of Use:
➡️Azure: Generally user-friendly.
➡️AWS: Offers a diverse toolkit but can be overwhelming for beginners.

7. Deployment Services:
➡️Azure: Uses \.cspkg (fancy zip file) or uploads via portal/API.
➡️AWS: Supports various deployment models, including Elastic Beanstalk and CloudFormation.

8. Pricing Models:
➡️Azure: Free trial, pay per minute.
➡️AWS: Free tier, pay per hour (rounded up).

9. Popularity and Applications:
➡️Azure is known for seamless Windows integration.
➡️AWS is widely used and trusted by companies like Adobe, Airbnb, and Netflix[1].

10. Overall:
➡️ Azure excels in Platform-as-a-Service (PaaS) and Windows integration.
➡️ AWS offers robust Infrastructure-as-a-Service (IaaS) and a diverse toolkit.
➡️Both platforms are near equals in most use cases[2]

In summary, both Azure and AWS have their strengths. For beginners, Azure might be more approachable due to its user-friendliness, while AWS provides a vast ecosystem of services. Consider your specific needs and preferences when choosing between them! 🌐🚀[1] [2].

➡️Reference links: [1] [2] [3]


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⛈ Free DevOps Courses


⚡️ Introduction to DevOps : https://lnkd.in/eewbW8xF

⚡️ IBM Applied DevOps Engineering : https://lnkd.in/erfsfEzm

⚡️ Python Scripting for DevOps Specialization : https://lnkd.in/ejaHRK8q

⚡️ Continuous Delivery & DevOps : https://lnkd.in/eBuU9Gb6

⚡️ Introduction to DevOps (Great Learning) : https://lnkd.in/e4h_vt8B

⚡️ Getting Started with DevOps on AWS : https://lnkd.in/ejchJqDN

⚡️ Introduction to DevOps (Codeacademy) : https://lnkd.in/ek-bXi8r

⚡️ DevOps - For Beginners : https://lnkd.in/ecUVWb36

⚡️ DevOps 101: What is DevOps? : https://lnkd.in/ezPfGTkU

⚡️ Bonus: Live Workshop - https://brij.guru/ai


🛒 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs