Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more)
Most of the learners asked what specifically we should learn from DevOps to be Job Ready at initial phase? These are from my side 👆
Means AWS, Linux, Python, K8s & Terraform are great to have as DevOps/Cloud Engineer👍
Forwarded from T3P - Technology To The Point (Learn Azure, AWS, OCI, DevOps, CyberSecurity, Kubernetes, Data Science for free)
YouTube
[New] AWS Certified Cloud Practitioner Cheat Sheet & Questions Explained | How to Pass AWS CCP Exam
This video has real exam based questions for the preparation of AWS Certified Cloud Practitioner exam for 2023.
The AWS Certified Cloud Practitioner examination is intended for individuals who have the knowledge and skills necessary to effectively demonstrate…
The AWS Certified Cloud Practitioner examination is intended for individuals who have the knowledge and skills necessary to effectively demonstrate…
Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer?
What is AWS DevOps?
AWS DevOps is a set of practices and tools that enable software development teams to rapidly and reliably deploy code to production environments. It involves using a combination of AWS services and DevOps tools to automate the process of building, testing, and deploying software applications.
How AWS DevOps helps in Real Time?
AWS DevOps is a set of practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle and provide continuous delivery with high software quality.
AWS DevOps makes use of automation tools, including configuration management, continuous integration, and continuous delivery, to increase the speed and efficiency of software delivery while also improving the reliability and security of the application.
How to Start Learning AWS DevOps as a Beginner?
If you are new to AWS DevOps, there are several steps you can take to start learning:
⚡️ Familiarize yourself with the AWS Cloud: Before diving into AWS DevOps, it's essential to understand the AWS Cloud's fundamental concepts and services. You can start by reading the AWS documentation and taking AWS training courses.
⚡️Learn basic programming skills: Basic programming skills are required to write and automate scripts. AWS DevOps typically makes use of languages such as Python, Ruby, and Java, so it is beneficial to have a strong foundation in these languages.
⚡️Learn DevOps Tools: AWS offers a range of DevOps tools, including AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild. You can start by reading the AWS documentation for these services and experimenting with them using sample projects.
⚡️Practice Continuous Integration and Continuous Delivery: Continuous Integration (CI) and Continuous Delivery (CD) are crucial components of AWS DevOps. You can practice these concepts by setting up a CI/CD pipeline for a simple project.
⚡️Join AWS DevOps Communities: Joining AWS DevOps communities, such as the AWS Developer Forums, can help you connect with other developers and learn from their experiences.
Roadmap to Become an Expert in AWS DevOps from Scratch:
⚡️AWS Cloud Fundamentals: Start by learning the fundamental concepts of the AWS Cloud, including AWS services, security, and pricing.
⚡️Linux Administration: Learn basic Linux administration skills, including the command line, file systems, and networking.
⚡️Scripting and Programming: Learn scripting languages such as Python, Bash, and Ruby, and programming languages such as Java and C#.
⚡️Continuous Integration and Continuous Delivery: Gain hands-on experience with CI/CD tools, such as AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild.
⚡️Configuration Management: Learn configuration management tools such as AWS CloudFormation, AWS Systems Manager, and Ansible.
⚡️Containerization and Orchestration: Gain expertise in containerization tools such as Docker and container orchestration tools such as Kubernetes.
⚡️Infrastructure as Code: Learn infrastructure as code concepts and tools such as AWS CloudFormation, Terraform, and AWS CDK.
⚡️Monitoring and Logging: Learn how to monitor and log your applications using AWS tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail.
⚡️Security and Compliance: Learn security and compliance best practices for AWS services and applications, including encryption, identity and access management, and compliance frameworks such as HIPAA and PCI DSS.
⚡️AWS DevOps Certification: Once you have gained expertise in AWS DevOps, consider getting certified to showcase your skills and knowledge. AWS offers several certifications related to DevOps, including the AWS Certified DevOps Engineer - Professional certification.
Continue Reading 👇
What is AWS DevOps?
AWS DevOps is a set of practices and tools that enable software development teams to rapidly and reliably deploy code to production environments. It involves using a combination of AWS services and DevOps tools to automate the process of building, testing, and deploying software applications.
How AWS DevOps helps in Real Time?
AWS DevOps is a set of practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle and provide continuous delivery with high software quality.
AWS DevOps makes use of automation tools, including configuration management, continuous integration, and continuous delivery, to increase the speed and efficiency of software delivery while also improving the reliability and security of the application.
How to Start Learning AWS DevOps as a Beginner?
If you are new to AWS DevOps, there are several steps you can take to start learning:
⚡️ Familiarize yourself with the AWS Cloud: Before diving into AWS DevOps, it's essential to understand the AWS Cloud's fundamental concepts and services. You can start by reading the AWS documentation and taking AWS training courses.
⚡️Learn basic programming skills: Basic programming skills are required to write and automate scripts. AWS DevOps typically makes use of languages such as Python, Ruby, and Java, so it is beneficial to have a strong foundation in these languages.
⚡️Learn DevOps Tools: AWS offers a range of DevOps tools, including AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild. You can start by reading the AWS documentation for these services and experimenting with them using sample projects.
⚡️Practice Continuous Integration and Continuous Delivery: Continuous Integration (CI) and Continuous Delivery (CD) are crucial components of AWS DevOps. You can practice these concepts by setting up a CI/CD pipeline for a simple project.
⚡️Join AWS DevOps Communities: Joining AWS DevOps communities, such as the AWS Developer Forums, can help you connect with other developers and learn from their experiences.
Roadmap to Become an Expert in AWS DevOps from Scratch:
⚡️AWS Cloud Fundamentals: Start by learning the fundamental concepts of the AWS Cloud, including AWS services, security, and pricing.
⚡️Linux Administration: Learn basic Linux administration skills, including the command line, file systems, and networking.
⚡️Scripting and Programming: Learn scripting languages such as Python, Bash, and Ruby, and programming languages such as Java and C#.
⚡️Continuous Integration and Continuous Delivery: Gain hands-on experience with CI/CD tools, such as AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild.
⚡️Configuration Management: Learn configuration management tools such as AWS CloudFormation, AWS Systems Manager, and Ansible.
⚡️Containerization and Orchestration: Gain expertise in containerization tools such as Docker and container orchestration tools such as Kubernetes.
⚡️Infrastructure as Code: Learn infrastructure as code concepts and tools such as AWS CloudFormation, Terraform, and AWS CDK.
⚡️Monitoring and Logging: Learn how to monitor and log your applications using AWS tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail.
⚡️Security and Compliance: Learn security and compliance best practices for AWS services and applications, including encryption, identity and access management, and compliance frameworks such as HIPAA and PCI DSS.
⚡️AWS DevOps Certification: Once you have gained expertise in AWS DevOps, consider getting certified to showcase your skills and knowledge. AWS offers several certifications related to DevOps, including the AWS Certified DevOps Engineer - Professional certification.
Continue Reading 👇
❤2👍1
Use Cases and Case Studies
AWS DevOps can be applied to a wide range of use cases, from simple web applications to complex enterprise applications. Here are some examples:
📌 Continuous Delivery for Web Applications: AWS DevOps can be used to automate the process of building, testing, and deploying web applications. This can help reduce the time to market and improve the quality of the application.
📌 Infrastructure as Code: AWS DevOps can be used to automate the creation and management of infrastructure using tools such as AWS CloudFormation, Terraform, and AWS CDK. This can help improve the reliability and security of the infrastructure while reducing the time and effort required to manage it.
📌 Microservices Architecture: AWS DevOps can be used to manage microservices-based architectures using containerization and orchestration tools such as Docker and Kubernetes. This can help improve the scalability and resilience of the application while reducing the time and effort required to deploy and manage it.
📌 Compliance and Security: AWS DevOps can be used to automate compliance and security checks using tools such as AWS Config, AWS IAM, and AWS Security Hub. This can help ensure that the application and infrastructure meet the necessary compliance and security requirements.
Best Practices to Follow
Here are some best practices to follow when using AWS DevOps:
📌 Use Automation: Automate as much of the software delivery process as possible to reduce errors, increase efficiency, and improve quality.
📌 Use Version Control: Use a version control system such as Git to track changes to the code and configuration files.
📌 Use Continuous Integration and Continuous Delivery: Use CI/CD to ensure that changes are tested and deployed quickly and reliably.
📌 Use Infrastructure as Code: Use infrastructure as code tools to manage infrastructure changes and reduce the risk of manual errors.
📌 Use Monitoring and Logging: Use monitoring and logging tools to track application performance and troubleshoot issues.
📌 Use Security Best Practices: Implement security best practices such as encryption, least privilege, and multi-factor authentication to protect the application and infrastructure.
📌 Collaborate Across Teams: Foster collaboration across development, operations, and security teams to ensure that everyone is working towards the same goals.
Let's Summarize it
AWS DevOps is a set of practices and tools that enable software development teams to rapidly and reliably deploy code to production environments.
To start learning AWS DevOps as a beginner, familiarize yourself with the AWS Cloud, learn basic programming skills, and practice continuous integration and continuous delivery.
To become an expert in AWS DevOps, follow a roadmap that includes learning Linux administration, scripting and programming, configuration management, containerization and orchestration, infrastructure as code, monitoring and logging, and security and compliance.
Use cases for AWS DevOps include continuous delivery for web applications, infrastructure as code, microservices architecture, and compliance and security.
Best practices for using AWS DevOps include using automation, version control, CI/CD, infrastructure as code, monitoring and logging, security best practices, and collaborating across teams.
Thank you for reading, I hope you find this content helpful. If yes, then don't forget to like this post & Stay tuned and connect with me on below platforms (Youtube & Instagram) to show your support & for more "To The Point" Learning.
Telegram: @t3pacademy
Youtube: https://www.youtube.com/@T3Ptech
Instagram: https://instagram.com/t3pacademy
AWS DevOps can be applied to a wide range of use cases, from simple web applications to complex enterprise applications. Here are some examples:
📌 Continuous Delivery for Web Applications: AWS DevOps can be used to automate the process of building, testing, and deploying web applications. This can help reduce the time to market and improve the quality of the application.
📌 Infrastructure as Code: AWS DevOps can be used to automate the creation and management of infrastructure using tools such as AWS CloudFormation, Terraform, and AWS CDK. This can help improve the reliability and security of the infrastructure while reducing the time and effort required to manage it.
📌 Microservices Architecture: AWS DevOps can be used to manage microservices-based architectures using containerization and orchestration tools such as Docker and Kubernetes. This can help improve the scalability and resilience of the application while reducing the time and effort required to deploy and manage it.
📌 Compliance and Security: AWS DevOps can be used to automate compliance and security checks using tools such as AWS Config, AWS IAM, and AWS Security Hub. This can help ensure that the application and infrastructure meet the necessary compliance and security requirements.
Best Practices to Follow
Here are some best practices to follow when using AWS DevOps:
📌 Use Automation: Automate as much of the software delivery process as possible to reduce errors, increase efficiency, and improve quality.
📌 Use Version Control: Use a version control system such as Git to track changes to the code and configuration files.
📌 Use Continuous Integration and Continuous Delivery: Use CI/CD to ensure that changes are tested and deployed quickly and reliably.
📌 Use Infrastructure as Code: Use infrastructure as code tools to manage infrastructure changes and reduce the risk of manual errors.
📌 Use Monitoring and Logging: Use monitoring and logging tools to track application performance and troubleshoot issues.
📌 Use Security Best Practices: Implement security best practices such as encryption, least privilege, and multi-factor authentication to protect the application and infrastructure.
📌 Collaborate Across Teams: Foster collaboration across development, operations, and security teams to ensure that everyone is working towards the same goals.
Let's Summarize it
AWS DevOps is a set of practices and tools that enable software development teams to rapidly and reliably deploy code to production environments.
To start learning AWS DevOps as a beginner, familiarize yourself with the AWS Cloud, learn basic programming skills, and practice continuous integration and continuous delivery.
To become an expert in AWS DevOps, follow a roadmap that includes learning Linux administration, scripting and programming, configuration management, containerization and orchestration, infrastructure as code, monitoring and logging, and security and compliance.
Use cases for AWS DevOps include continuous delivery for web applications, infrastructure as code, microservices architecture, and compliance and security.
Best practices for using AWS DevOps include using automation, version control, CI/CD, infrastructure as code, monitoring and logging, security best practices, and collaborating across teams.
Thank you for reading, I hope you find this content helpful. If yes, then don't forget to like this post & Stay tuned and connect with me on below platforms (Youtube & Instagram) to show your support & for more "To The Point" Learning.
Telegram: @t3pacademy
Youtube: https://www.youtube.com/@T3Ptech
Instagram: https://instagram.com/t3pacademy
Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more)
Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer? What is AWS DevOps? AWS DevOps is a set of practices and tools that enable software development teams to rapidly and reliably deploy code to production…
🔥 ✅ Spend 5 Minutes to understand about:
Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer?
Everything about AWS DevOps? How to start learning as beginners & Make career as AWS DevOps Engineer?
T3P - Technology To The Point (Learn Azure, AWS, OCI, DevOps, CyberSecurity, Kubernetes, Data Science for free)
https://youtu.be/X4I9hGcMYok
Have you realized, I used AI for this video??
Ofcourse, there was lot of work in the background to make it more helpful✌️
Ofcourse, there was lot of work in the background to make it more helpful✌️
✅ Grab the above Udemy Courses for FREE 👍
✅ 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
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
👍5
🔥 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
✅ 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
👍1
✅ 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
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
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
🔥1