🔥 ✅ Spend 5 Minutes to understand about:

Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer?

Have you realized, I used AI for this video??

Ofcourse, there was lot of work in the background to make it more helpful✌️

✅ Kubernetes RoadMap ✅

Becoming an expert in Kubernetes requires a structured approach and continuous learning.

Here is a roadmap to guide you on your journey to Kubernetes mastery:

1. Start with the basics:
- Familiarize yourself with containers and containerization concepts.
- Understand the fundamentals of Kubernetes, including its architecture, components, and key concepts like pods, deployments, services, and namespaces.

2. Learn installation and setup:
- Set up a Kubernetes cluster locally using tools like Minikube or Kind for hands-on experience.
- Explore different installation options for production environments, such as managed Kubernetes services, like Amazon EKS or Google Kubernetes Engine.

3. Dive into core Kubernetes concepts:
- Learn about creating and managing pods, deployments, and services.
- Understand labels, selectors, and annotations for effective resource management.
- Explore resource quotas, auto-scaling, and rolling updates for application management.

4. Master Kubernetes networking:
- Understand Kubernetes networking models and how services enable communication between pods.
- Explore different networking plugins, like Calico or Flannel.
- Learn about Ingress controllers for external traffic management.

5. Manage stateful applications:
- Gain expertise in managing stateful workloads using StatefulSets and PersistentVolumes.
- Explore storage options, such as local storage, NFS, or cloud storage providers.
- Learn about volume snapshots and dynamic provisioning.

6. Practice advanced topics:
- Gain knowledge in managing secrets, config maps, and environment variables.
- Understand Kubernetes RBAC (Role-Based Access Control) for secure cluster access.
- Learn about Helm, a package manager for Kubernetes, to simplify application deployments.
- Explore advanced topics like custom resource definitions (CRDs), operators, and pod security policies.

7. Monitor and troubleshoot:
- Learn how to monitor Kubernetes clusters using tools like Prometheus and Grafana.
- Understand logging and tracing techniques for troubleshooting.
- Explore debugging techniques, resource utilization monitoring, and troubleshooting network-related issues.

8. Explore Kubernetes ecosystem:
- Familiarize yourself with complementary tools and technologies like Istio for service mesh, Prometheus for monitoring, and OpenEBS for storage.
- Stay updated with the latest developments in the Kubernetes community by attending conferences, reading blogs, and participating in forums.

Remember, learning Kubernetes is an ongoing process. Stay curious, practice hands-on exercises, and seek opportunities to work on real-world projects to solidify your expertise. Happy learning on your path to becoming a Kubernetes expert!

Keep learning ✌️
Follow For Free Technical Content:

@LearnDevOpsForFree

🔥 Today's Free Premium Courses (Grab Now)

✅ Python And Flask Framework Complete Course For Beginners (12.5 Hours)

✅ Machine Learning based APIs using Nest.js (4 Hours)

https://techyoutube.com/index.php/category/udemy-free-course/

Keep Learning!🤞
@LearnDevOpsForFree

✅ Hope you are enjoying the free resources & finding it helpful

Don’t forget to support me on twitter as well for more visibility 👇 Just Follow 👇

https://twitter.com/techyoutbe

Hello Friends,

From Last 2 week I received multiple requests to share the proper step by step roadmap with required resources to cover for Azure DevOps, similar to what I shared last month for AWS DevOps 👇

🔥 ✅ Spend 5 Minutes to understand :

Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer?

https://t.me/LearnDevOpsForFree/617



So, finally gone through many resources and related posts, and drafted customised roadmap for “Azure DevOps”

Below is the quick heads up and outlines:👇

Azure DevOps is a suite of tools and services that help organizations deliver software more effectively.
It can be used by teams of all sizes, from small startups to large enterprises.

key features:
📍 Planning and tracking software development projects
📍 Building and testing software
📍 Deploying software to production
📍 Managing software assets
📍 Collaboration and communication
📍 Security and compliance

best practices to follow:
📍 Using a version control system
📍 Automating your build and deployment pipelines
📍 Using continuous integration and continuous delivery (CI/CD)
📍 Using a test-driven development (TDD) approach
📍 Using a continuous feedback loop
📍 Using a DevOps culture


Detailed post will cover 👇

✅ What is Azure DevOps?
✅ Key Features
✅ Benefits of using Azure DevOps
✅ How Azure DevOps helps in real time?
✅ Azure DevOps for Different roles?
✅ How to start learning Azure DevOps as a beginner
✅ Roadmap to become an expert in Azure DevOps from scratch
✅ Real world use cases and case studies for Azure DevOps
✅ Best Practices to Follow
✅ Free Authorized Resources to follow
✅ Let’s Summarize it

https://techyoutube.com/index.php/2023/08/17/1180/


Keep Learning 🤞
@LearnDevOpsForFree

Exam AZ-900 : Microsoft Azure Fundamentals Certification Course - Pass the exam in 4 hours! ✔ ✫✫✫✫✫
https://youtu.be/nBUE12I8EVc

🔥🔥After a long long time...Recorded a Full Length Course on "Microsoft Azure Fundamentals - prep Guide for 2023".

Along, with this I will Share Full guide document (for quick learning) and this Notes prepared while recording (100% FREE).

Thank you for your Support!!👍
Keep learning!!

@LearnDevOpsForFree
@T3PAcademy

✅ As Promised, find the Notes (prepared during Course Recording)

Pending:
📌 Full Guide Document (for quick learning)
📌 Video Course (Rendering in Progress)

Keep Learning!!👍

@LearnDevOpsForFree

✅ Azure Fundamentals : AZ-900 Exam Prep Full Course | Crack AZ-900 with conceptual Learning in 1 Hour


https://youtu.be/uJxn-iDC3TQ

🚀 Innovative Solutions on AWS

AWS offers a wide range of innovative solutions beyond basic cloud services. Some examples include:

✔ Amazon SageMaker: Machine learning service for building, training, and deploying models.

✔ AWS IoT: Internet of Things service for connecting and managing IoT devices.

✔ AWS Lambda: Compute service for running code without managing servers.

✔ Amazon Polly: Text-to-speech service for creating natural-sounding speech.

Keep Learning 🤞

🚀 Are you an IT professional looking to stay ahead of the curve?

If so, you need to learn AI!
AI is rapidly changing the world, and IT professionals who are proficient in AI will be in high demand.

It's not just a trend, it's a transformative force.

https://x.com/techyoutbe/status/1693920204194300107?s=46&t=-nvIJir6Ki_4qCvrP-0JRw