🌟 A Day in the Life of a DevOps Engineer 🌟


👨‍💻 Ever wondered what a DevOps Engineer does every day?Here’s a glimpse into their daily lifecycle:

1. Morning Standup Meeting:
- Participate in a daily scrum meeting to discuss progress, blockers, and plans for the day.

2. Code Review and Integration:
- Review code changes submitted by developers.
- Ensure seamless integration by merging code into the main branch.

3. CI/CD Pipeline Management:
- Monitor and manage Continuous Integration/Continuous Deployment pipelines.
- Fix any issues that arise in automated build and deployment processes.

4. Infrastructure as Code (IaC):
- Write and update scripts using tools like Terraform or CloudFormation.
- Provision and configure cloud resources programmatically.

5. Container Management:
- Build, test, and deploy Docker containers.
- Manage Kubernetes clusters for container orchestration.

6. Monitoring and Incident Response:
- Use tools like Prometheus and Grafana for system monitoring.
- Respond to alerts and troubleshoot issues to maintain system uptime.

7. Configuration Management:
- Automate configuration tasks with Ansible, Chef, or Puppet.
- Ensure consistency across development, testing, and production environments.

8. Collaboration and Communication:
- Work closely with developers, QA, and operations teams.
- Communicate effectively to resolve issues and implement new features.

9. Continuous Improvement:
- Analyze system performance and identify areas for improvement.
- Implement best practices for security, scalability, and efficiency.

10. Learning and Development:
- Stay updated with the latest tools, technologies, and industry trends.
- Participate in training sessions and attend webinars/conferences.

🔧 Being a DevOps Engineer is dynamic and challenging, requiring a mix of technical skills, problem-solving abilities, and collaboration.


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

➡️Useful Terraform commands along with brief explanations:- ❤️

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!!!

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✍️ Provides a testing framework for developers to check and verify hashtag#k8s resources to validate against Kubernetes configuration. Users can easily write tests for hashtag#serverless, hashtag#Terraform and other prominent frameworks

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✍️ Analyzes Kubernetes YAML files and Helm charts, checks them against a variety of best practices, with a focus on production readiness and security

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✍️ Validate, verify and reformat yaml documents, checking cosmetic problems such as lines length, trailing spaces, indentation

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✍️ Checks configuration files through custom checks through helper functions written in javascript. Enforces best practices, apply policies and compliance requirements

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✍️ CLI tool to validate configuration files using rules specified in YAML. The configuration files can be one of several formats: Terraform, JSON, YAML, with support for Kubernetes

👉 𝐊𝐮𝐛𝐞-𝐬𝐜𝐨𝐫𝐞 (https://lnkd.in/gAvzn_WE)
✍️ Tool that performs static code analysis of k8s object definitions. The output is list of recommendations of what you can improve to make the application more secure and resilient

👉 𝐂𝐡𝐚𝐫𝐭-𝐭𝐞𝐬𝐭𝐢𝐧𝐠 (https://lnkd.in/gKM-9bQm)
✍️ Tool for testing Helm charts that is used for linting and testing pull requests. It automatically detects charts changed against the target branch

👉 𝐊𝐥𝐢𝐧𝐭 (https://lnkd.in/gnFsWfkw)
✍️ Listens to changes in Kubernetes resources and runs linting rules against them. Alerts are published via Slack webhooks to a configurable channel

👉 𝐊𝐮𝐛𝐞𝐯𝐢𝐨𝐮𝐬 𝐂𝐋𝐈 (https://lnkd.in/fyqqp9U)
✍️ Standalone tool that validates YAML manifests for syntax, semantics, conflicts, compliance and security best practices violations. Can be easily used during active development and integrated into hashtag#GitOps processes and CI/CD pipelines to validate changes toward live Kubernetes clusters


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

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🛠 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

1️⃣. Tutorials

✅ Terraform Course – Automate your AWS cloud infrastructure

https://lnkd.in/dvpzNT5M

✅ HashiCorp Terraform Associate Certification Course by Andrew Brown

https://lnkd.in/dn5m2NKQ

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https://lnkd.in/d8nkTj3n

✅ Terraform Foundations Course by Derek Morgan

https://lnkd.in/dWYByZjH

✅ HashiCorp Terraform Associate certification exam

https://lnkd.in/dhV35bJG

✅ Learn Terraform (and AWS) by Building a Dev Environment - Full Course for Beginners

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✅ Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

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✅ Azure Terraform Full Course I Microsoft
Azure Terraform Course

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2️⃣. Labs

✅ Lab 1.Terraform Introduction | Terraform Tutorial for Beginners | Terraform for DevOps Engineer

https://lnkd.in/dCpQyKNz

✅ Lab 2. How to Use Visual Studio code for Terraform | Creating EC2 Instance using Terraform

https://lnkd.in/dvMC5a2J

✅ Lab 3. [Scenario-1]: How to Create VPC using Terraform | AWS VPC using Terraform | AWS Terraform

https://lnkd.in/dtT3zMzF

✅ Lab 4. AWS NAT Gateway using Terraform | AWS Private Subnet using Terraform | Terraform Tutorial

https://lnkd.in/dqTeZQdc

✅ Lab 5. Terraform Input Variables | How to Use Terraform Input Variables | Terraform Variables

https://lnkd.in/dqsAKSyH

✅ Lab 6. Terraform Output Variables Example | Terraform Output Values | Terraform Outputs

https://lnkd.in/dhkgFexc

✅ Lab 7. Terraform Local Values | How to use Terraform Local Values | Terraform Locals

https://lnkd.in/dHZEW_sy

✅ Lab 8. How to Create EC2 Instance in AWS using Terraform | Create EC2 Instance using Terraform

https://lnkd.in/dKjwzqGT

✅ Lab 9. AWS EC2 Instance,Security Group in AWS Using Terraform | Terraform Create Security Group AWS

https://lnkd.in/dMA-J7GE


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

⚠️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀

🌝𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):-
Horizontal scaling involves altering the number of pods available to the cluster to suit sudden changes in workload demands. As the scaling technique involves scaling pods instead of resources, it’s commonly a preferred approach to avoid resource deficits.

🌝𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):-
Contrary to horizontal scaling, a vertical scaling mechanism involves the dynamic provisioning of attributed resources such as RAM or CPU of cluster nodes to match application requirements. This is essentially achieved by tweaking the pod resource request parameters based on workload consumption metrics.

🌝𝐂𝐥𝐮𝐬𝐭𝐞𝐫/𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Cluster scaling involves increasing or reducing the number of nodes in the cluster based on node utilization metrics and the existence of pending pods. The cluster autoscaling object typically interfaces with the chosen cloud provider so that it can request and deallocate nodes seamlessly as needed.

🌝𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Manual scaling in Kubernetes involves adjusting the number of nodes or resources allocated to a cluster manually. This can be done by adding or removing nodes, adjusting resource requests and limits, and distributing workloads across nodes to optimize performance.

🌝𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 :-
Predictive scaling stands as a transformative approach in the orchestration of cloud-native applications, allowing Kubernetes to not just react to current demands but to anticipate future needs. This forward-looking strategy harnesses the power of data analysis and machine learning to create a more dynamic, efficient, and user-oriented scaling process.


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

❤️‍🔥 The Ultimate Docker 50 commands ❤️‍🔥
_____
docker run - run a container from an image
docker pull - pull an image from a registry
docker push - push an image to a registry
docker build - build an image from a Dockerfile
docker ps - list running containers
docker stop - stop a running container
docker start - start a stopped container
docker restart - restart a container
docker logs - show the logs of a container
docker exec - execute a command inside a running container
docker images - list available images
docker rm - remove a container
docker rmi - remove an image
docker inspect - show information about a container
docker network create - create a network for containers to communicate
docker network connect - connect a container to a network
docker network disconnect - disconnect a container from a network
docker port - show the mapped ports of a container
docker cp - copy files between a container and the host
docker commit - create a new image from a container's changes
docker login - log in to a registry
docker logout - log out of a registry
docker tag - tag an image with a new name
docker export - export the contents of a container as a tar archive
docker import - create a new image from a tar archive
docker save - save an image as a tar archive
docker load - load an image from a tar archive
docker top - show the processes running inside a container
docker stats - show resource usage statistics of containers
docker diff - show the changes made to a container's filesystem
docker events - show the events generated by Docker
docker history - show the history of an image
docker pause - pause a running container
docker unpause - unpause a paused container
docker kill - send a signal to a container to stop it abruptly
docker wait - wait for a container to exit and return its exit code
docker attach - attach to a running container's console
docker buildx - build and push multi-platform images
docker compose - manage multi-container applications with Docker Compose
docker swarm - create and manage a cluster of Docker nodes
docker volume create - create a named volume for persistent data storage
docker volume ls - list available volumes
docker volume rm - remove a named volume
docker system prune - remove all unused objects from Docker
docker system df - show the usage of Docker objects
docker system events - show the events generated by Docker on the system
docker system info - show the system-wide information about Docker
docker system inspect - show detailed information about Docker objects
docker system logs - show the system logs of Docker
docker system version - show the version of Docker installed on the system


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

📣 New to DevOps? 📣

Here are the most widely used tools in the industry along with their official documentation:

➡️ Source Code Management:

1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w

➡️ Ticketing Tools:

1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide

➡️ Public Clouds:

1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr

➡️ Containerization and Orchestration Tools:

1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY

➡️ Deployment Tools:

1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj

➡️ Testing Tools:

1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c

➡️ Build Tools:

1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef

➡️ Pipeline Tools:

1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi

➡️ Monitoring Tools:

1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV


🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.


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

🐧 Understanding the Linux Filesystem: An In-Depth Guide for DevOps Engineers

🔍 I’m excited to share my latest comprehensive guide on the Linux Filesystem, a must-read for every DevOps engineer out there. This article breaks down the complexities of the Linux filesystem, providing you with:

🖥 Read the full article here: Understanding the Linux Filesystem: An In-Depth Guide for DevOps Engineers

✅ A thorough understanding of the Filesystem Hierarchy Standard (FHS) and how it organizes your system.
✅ Insights into key filesystem types like Ext4, XFS, and Btrfs, helping you choose the right one for your projects.
✅ An in-depth explanation of inodes, permissions, and ownership, ensuring you can secure and manage files effectively.
✅ Practical tips on mounting, unmounting, and managing filesystems, so you can maintain optimal system performance.
✅ A look at special files and virtual filesystems like /proc and /sys, crucial for system monitoring and tuning.

This guide is packed with detailed explanations, practical examples, and actionable tips that will not only make you more proficient in Linux but also elevate your DevOps skills to the next level.

Whether you’re new to DevOps or a seasoned professional, mastering the Linux filesystem is essential for your success. Don’t miss out on this valuable resource!

🛠 Equip yourself with the knowledge you need to excel in your career.

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

🎉 𝐅𝐫𝐞𝐞 𝐀𝐖𝐒 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 & 𝐅𝐫𝐞𝐞 𝐁𝐚𝐝𝐠𝐞𝐬! AWS launched 4 new badges, so now there are 14 training courses with badge assessments. How to enroll ⬇️

To secure this badge, simply enroll in the free course and score 80% or higher on the final assessment. It's a fantastic opportunity to demonstrate your cloud expertise without spending money.

There is not a single page that summarizes how to enroll to different AWS badges, so here you go (all up-to-date with links to the courses) including the latest 4 additions:

1️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐊𝐒: 🔗https://bit.ly/eks-badge
This path is created to build technical knowledge of Kubernetes and concepts and services with a focus on Amazon EKS.

2️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐯𝐞𝐧𝐭𝐬 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: 🔗https://lnkd.in/gwMeGq8a
This learning path helps you build knowledge to effectively use AWS Step Functions to model, build, and monitor a complex business process and to design event-driven architectures based in Amazon EventBridge in production systems.

3️⃣ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 (𝐄𝐂𝟐, 𝐋𝐚𝐦𝐛𝐝𝐚): 🔗 https://lnkd.in/gURufmyD
This path is created to help build technical knowledge of AWS compute concepts and services with a focus on Amazon EC including how to balance cost and performance, available tools and components, how AWS Lambda works.

4️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐫𝐚𝐜𝐤𝐞𝐭: 🔗 https://lnkd.in/gE3Sys3a
This path is created to help learn how to program quantum computers and explore their potential applications.

➕ more:
5. Migration Foundations: https://lnkd.in/g88Zsrn3
6. Networking Core: https://lnkd.in/gAeKA27u
7. Cloud Essentials: https://lnkd.in/gEMHQEtX
8. Architecting: https://lnkd.in/gYaAgXBM
9. AWS for Games: https://lnkd.in/g7a5Jjwi
10. Serverless: https://lnkd.in/gQavBp5K
11. Object Storage: https://lnkd.in/gAA_3q8U
12. Block Storage: https://lnkd.in/gEAApKty
13. File Storage: https://lnkd.in/gZHx6iUQ

♻️ Don’t miss this fantastic opportunity to demonstrate your cloud expertise without spending money. Save and share!


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

🌟 Hiring alert for DevOps ♾

✉️ Send resume to careers@tridentsqa.com


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