➡️ 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

🌐 𝐆𝐢𝐭 𝐖𝐨𝐫𝐤𝐅𝐥𝐨𝐰

➡️ Getting Started
- 𝗜𝗻𝗶𝘁𝗶𝗮𝗹𝗶𝘇𝗲 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆: 𝚐𝚒𝚝 𝚒𝚗𝚒𝚝 🌱
- 𝗖𝗹𝗼𝗻𝗲 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆: 𝚐𝚒𝚝 𝚌𝚕𝚘𝚗𝚎 [𝚄𝚁𝙻] 📦

➡️ Working with Remotes
- 𝗟𝗶𝘀𝘁 𝗥𝗲𝗺𝗼𝘁𝗲𝘀: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 -𝚟 📡
- 𝗔𝗱𝗱 𝗥𝗲𝗺𝗼𝘁𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 𝚊𝚍𝚍 [𝚗𝚊𝚖𝚎] [𝚄𝚁𝙻] ➕📡
- 𝗥𝗲𝗺𝗼𝘃𝗲 𝗥𝗲𝗺𝗼𝘁𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 𝚛𝚖 [𝚗𝚊𝚖𝚎] ➖📡
- 𝗙𝗲𝘁𝗰𝗵 𝗥𝗲𝗺𝗼𝘁𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚏𝚎𝚝𝚌𝚑 [𝚛𝚎𝚖𝚘𝚝𝚎] 🔄
- 𝗣𝘂𝗹𝗹 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚙𝚞𝚕𝚕 [𝚛𝚎𝚖𝚘𝚝𝚎] [𝚋𝚛𝚊𝚗𝚌𝚑] 🔽
- 𝗣𝘂𝘀𝗵 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚙𝚞𝚜𝚑 [𝚛𝚎𝚖𝚘𝚝𝚎] [𝚋𝚛𝚊𝚗𝚌𝚑] 🔼

➡️ Branching & Merging
- 𝗟𝗶𝘀𝘁 𝗕𝗿𝗮𝗻𝗰𝗵𝗲𝘀: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑 🌿
- 𝗖𝗿𝗲𝗮𝘁𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑 [𝚗𝚊𝚖𝚎] ➕🌿
- 𝗦𝘄𝗶𝘁𝗰𝗵 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚌𝚔𝚘𝚞𝚝 [𝚗𝚊𝚖𝚎] ↔️ 🌿
- 𝗖𝗿𝗲𝗮𝘁𝗲 & 𝗦𝘄𝗶𝘁𝗰𝗵 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚌𝚔𝚘𝚞𝚝 -𝚋 [𝚗𝚊𝚖𝚎] ➕↔️ 🌿
- 𝗠𝗲𝗿𝗴𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚖𝚎𝚛𝚐𝚎 [𝚋𝚛𝚊𝚗𝚌𝚑] 🔄 🌿
- 𝗗𝗲𝗹𝗲𝘁𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑 -𝚍 [𝚗𝚊𝚖𝚎] 😀 🌿

➡️ Making Changes
- 𝗦𝘁𝗮𝘁𝘂𝘀: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚝𝚞𝚜 📊
- 𝗔𝗱𝗱 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚊𝚍𝚍 [𝚏𝚒𝚕𝚎/𝚍𝚒𝚛𝚎𝚌𝚝𝚘𝚛𝚢] ➕📄
- 𝗖𝗼𝗺𝗺𝗶𝘁 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚌𝚘𝚖𝚖𝚒𝚝 -𝚖 "[𝚖𝚎𝚜𝚜𝚊𝚐𝚎]" 👨‍💻
- 𝗔𝗺𝗲𝗻𝗱 𝗖𝗼𝗺𝗺𝗶𝘁: 𝚐𝚒𝚝 𝚌𝚘𝚖𝚖𝚒𝚝 --𝚊𝚖𝚎𝚗𝚍 👨‍💻
- 𝗥𝗲𝘀𝗲𝘁: 𝚐𝚒𝚝 𝚛𝚎𝚜𝚎𝚝 [𝚏𝚒𝚕𝚎] ⏪
- 𝗛𝗮𝗿𝗱 𝗥𝗲𝘀𝗲𝘁: 𝚐𝚒𝚝 𝚛𝚎𝚜𝚎𝚝 --𝚑𝚊𝚛𝚍 [𝚌𝚘𝚖𝚖𝚒𝚝] ⏪ 💥

➡️ Reviewing History
- 𝗟𝗼𝗴: 𝚐𝚒𝚝 𝚕𝚘𝚐 📜
- 𝗟𝗼𝗴 (𝗚𝗿𝗮𝗽𝗵): 𝚐𝚒𝚝 𝚕𝚘𝚐 --𝚐𝚛𝚊𝚙𝚑 📊 📜
- 𝗦𝗵𝗼𝘄 𝗖𝗵𝗮𝗻𝗴𝗲: 𝚐𝚒𝚝 𝚜𝚑𝚘𝚠 [𝚌𝚘𝚖𝚖𝚒𝚝] 🔍
- 𝗗𝗶𝗳𝗳: 𝚐𝚒𝚝 𝚍𝚒𝚏𝚏 [𝚋𝚛𝚊𝚗𝚌𝚑] 🆚

➡️ Cleanup & Maintenance
- 𝗦𝘁𝗮𝘀𝗵 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚜𝚑 📥
- 𝗔𝗽𝗽𝗹𝘆 𝗦𝘁𝗮𝘀𝗵: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚜𝚑 𝚙𝚘𝚙 📤
- 𝗖𝗹𝗲𝗮𝗻 𝗨𝗻𝘁𝗿𝗮𝗰𝗸𝗲𝗱 𝗙𝗶𝗹𝗲𝘀: 𝚐𝚒𝚝 𝚌𝚕𝚎𝚊𝚗 -𝚏 🧽

➡️ Advanced & Miscellaneous
- 𝗥𝗲𝗯𝗮𝘀𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚋𝚊𝚜𝚎 [𝚋𝚛𝚊𝚗𝚌𝚑] 🏗️
- 𝗖𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚛𝚛𝚢-𝚙𝚒𝚌𝚔 [𝚌𝚘𝚖𝚖𝚒𝚝] 🍒
- 𝗧𝗮𝗴: 𝚐𝚒𝚝 𝚝𝚊𝚐 [𝚗𝚊𝚖𝚎] 🏷️
- 𝗦𝗲𝗮𝗿𝗰𝗵 𝗟𝗼𝗴: 𝚐𝚒𝚝 𝚕𝚘𝚐 --𝚐𝚛𝚎𝚙="[𝚙𝚊𝚝𝚝𝚎𝚛𝚗]" 🔍 📜


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

🛠 Essential AWS CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install AWS CLI
pip install awscli

# Configure AWS CLI
aws configure

📌 IAM:

# List IAM users
aws iam list-users

# Create IAM user
aws iam create-user --user-name <username>

# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>

📌 EC2:

# List all EC2 instances
aws ec2 describe-instances

# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>

# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>

📌 S3:

# List all S3 buckets
aws s3 ls

# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>

# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>

📌 RDS:

# List RDS instances
aws rds describe-db-instances

# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>

# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>

📌 CloudWatch:

# List CloudWatch log groups
aws logs describe-log-groups

# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>

📌 Elastic Beanstalk:

# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments

# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>

📌 CloudFormation:

# List CloudFormation stacks
aws cloudformation describe-stacks

# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>

# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>

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

🚀 Demystifying Docker, Containers, and Images! 🐳

In today's fast-paced world of software development and deployment, Docker has emerged as a game-changer, revolutionizing the way we build, ship, and run applications.

🔣 Let's break down the key concepts of Docker, Containers, and Images to uncover their significance in modern software development:

🐳 What is Docker?

Docker is an open-source platform that simplifies the process of building, shipping, and running applications within containers. It provides a lightweight, portable, and scalable environment for deploying applications across different computing environments, from development to production. With Docker, developers can package their applications and all their dependencies into a single unit called a container, ensuring consistency and reproducibility across various deployment targets.

📦 What is a Container?

A container is a lightweight, standalone, and executable package that contains everything needed to run a piece of software, including the application code, runtime, system tools, libraries, and settings. Containers leverage operating system-level virtualization to isolate the application environment from the underlying infrastructure, making them highly portable and efficient. They provide a consistent runtime environment across different platforms, enabling developers to build once and run anywhere.

🖥 What are Images?

An image is a read-only template used to create containers. It serves as a blueprint for defining the filesystem and configuration of a containerized application. Docker images encapsulate all the necessary components, including the operating system, runtime, libraries, dependencies, and application code, in a standardized format. Images can be shared, versioned, and distributed via Docker registries, making it easy to collaborate and deploy applications across diverse environments.

💡 Key Takeaways:

➡️Docker simplifies application deployment by leveraging containers to encapsulate and isolate software environments.

➡️Containers provide lightweight and portable runtime environments that ensure consistency and reproducibility across different platforms.

➡️Docker images serve as immutable templates for creating containers, facilitating seamless application packaging, distribution, and deployment.


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

8 FREE💲Udemy Docker Courses from Beginner to Professional 🚀

➡️ Beginners

🔵 Docker for the Absolute Beginner
➡️ https://lnkd.in/eSDNg-Xv

🟡 Docker Tutorial for Beginners practical hands on -Devops
➡️ https://lnkd.in/eTGeQ_dW

🩷 Docker Essentials
➡️ https://lnkd.in/edTFpFxY

🔴 Docker Before Compose - Learn Docker by Example
➡️ https://lnkd.in/eq3_w-7N

🟤 Learn Docker Quickly: A Hands-on approach to learning docker
➡️ https://lnkd.in/ededr6U2


➡️ Professional

🟢 Are You a PRO Series - Docker & Swarm Real Challenges
➡️ https://lnkd.in/em48h_qK

🔵 Docker Swarm Courses
➡️ https://lnkd.in/emr6AaK8

🔴 Building Application Ecosystem with Docker Compose
➡️ https://lnkd.in/eaa43R2f


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

⚙️ Most Common Kubernetes Basic Errors ⚙️

1️⃣. ImageBackPullOff
We face this issue when the image is not present in registry or the given image tag is wrong.
Make sure you provide correct registry url, image name and image tag.

We might face authentication failures, when image is being stored in a private registry, make sure to create secret with private registry credentials and add created secret in Kubernetes Deployment File to pull docker image.

2️⃣. CrashLoopBackOff
We face this issue when the process deployed inside container not running then the POD will be moved to CrashLoopBackOff.
POD might be running out of CPU or memory, POD should get enough resources allocated that’s cpu and memory for an application to be up and running, to fix that check in Resources Requests and Resources Limits.

3️⃣. OOM Killed - Out Of Memory
We face this issue when PODs tries to utilise more memory than the limits we have set.
We can resolve it by setting appropriate resource request and resource limit.

4️⃣. POD Status - Pending
When nodes might not be ready and required resources like CPU and Memory may not be available in nodes for the PODs to be up and running.

5️⃣. POD Status - Waiting
POD will be scheduled to a node but POD won’t be running in scheduled node.
We can fix this by providing correct image name, image tag and authentication to registry.

6️⃣. POD will be up and running and application is not accessible.
We can fix this by creating appropriate service.
If service is already created and application is still not accessible, make sure application and service are deployed in same namespace.

7️⃣. POD Status - Evicted
We can resolve this by setting appropriate resource requests and resource limits for the PODs and having enough resources in worker nodes.

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

Docker 🐬 & Containers All End-to-End Content 2024 ❤️


⚡️This Includes:
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer

📱 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/containers


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