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    Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo. 📲Call +91-9989971070. 🌐Visit Blog: https://visualpathblogs.com/ 👉WhatsApp: https://www.whatsapp.com/catalog/917032290546/ 🌐Visit: https://www.visualpath.in/DevOps-docker-kubernetes-training.html #Docker #Kubernetes #CKS #CKAD #CKA #Helm #onlinetraining #kubelet #dockercontainer #GitOps #ansible #DevOps #softwaretraining #Monitoring #ITSkills #Students #Education #newtechnologies #trendingcourses #handsonlearning #RealTimeProjects #multicloud #k8s
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  • Cloud Automation? How to Implement Software and Tools in Cloud
    What is Cloud Automation?
    Cloud Automation Online Training refers to the use of software tools and technologies to manage cloud computing tasks with minimal human intervention. This encompasses provisioning, configuring, and managing cloud resources, ensuring efficient, reliable, and scalable cloud operations. By automating repetitive and complex tasks, organizations can reduce errors, increase productivity, and accelerate service delivery. Cloud Automation using Python & Terraform
    Benefits of Cloud Automation
    • Efficiency and Speed: Automation streamlines workflows and reduces the time required for deployment and management of cloud resources.
    • Cost Savings: By optimizing resource utilization and reducing manual labor, cloud automation helps in cutting down operational costs.
    • Consistency and Reliability: Automated processes ensure uniformity and minimize the risk of human errors.
    • Scalability: Automation enables seamless scaling of resources to meet dynamic business demands.
    • Enhanced Security: Automating security protocols ensures consistent enforcement of security policies, reducing vulnerabilities.
    Key Components of Cloud Automation
    • Infrastructure as Code (IaC): IaC allows the management of infrastructure through code, enabling version control, and automated deployment. Tools like Terraform and AWS CloudFormation are popular choices.
    • Configuration Management: Tools like Ansible, Puppet, and Chef automate the configuration of servers and software, ensuring consistent environments.
    • Orchestration: Orchestration tools like Kubernetes manage the deployment, scaling, and operation of containerized applications, providing automated workflows.
    • Monitoring and Logging: Tools such as Prometheus, ELK Stack, and Datadog provide real-time monitoring and logging, enabling proactive issue resolution.
    Implementing Cloud Automation
    Define Objectives and Requirements
    • Begin by identifying the specific tasks and processes that need automation. Understand your organizational goals, compliance requirements, and the expected outcomes of automation.
    Choose the Right Tools
    • Select tools that best fit your needs. For IaC, Terraform or AWS CloudFormation might be suitable. For configuration management, consider Ansible or Puppet. Evaluate tools based on compatibility, community support, and ease of integration.
    Develop and Test Automation Scripts
    • Write automation scripts to define your infrastructure and configuration. Thoroughly test the scripts in a staging environment to identify and fix any issues before deployment. Best Cloud Automation Certification Online Training
    Deploy and Monitor
    • Deploy your automation scripts in the production environment. Use monitoring tools to track performance and detect anomalies.
    Conclusion
    Cloud automation is essential for modern IT operations, enabling organizations to achieve greater efficiency, scalability, and reliability. By leveraging the right tools and following a structured implementation process, businesses can effectively automate their cloud environments, driving innovation and competitive advantage.
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    Cloud Automation? How to Implement Software and Tools in Cloud What is Cloud Automation? Cloud Automation Online Training refers to the use of software tools and technologies to manage cloud computing tasks with minimal human intervention. This encompasses provisioning, configuring, and managing cloud resources, ensuring efficient, reliable, and scalable cloud operations. By automating repetitive and complex tasks, organizations can reduce errors, increase productivity, and accelerate service delivery. Cloud Automation using Python & Terraform Benefits of Cloud Automation • Efficiency and Speed: Automation streamlines workflows and reduces the time required for deployment and management of cloud resources. • Cost Savings: By optimizing resource utilization and reducing manual labor, cloud automation helps in cutting down operational costs. • Consistency and Reliability: Automated processes ensure uniformity and minimize the risk of human errors. • Scalability: Automation enables seamless scaling of resources to meet dynamic business demands. • Enhanced Security: Automating security protocols ensures consistent enforcement of security policies, reducing vulnerabilities. Key Components of Cloud Automation • Infrastructure as Code (IaC): IaC allows the management of infrastructure through code, enabling version control, and automated deployment. Tools like Terraform and AWS CloudFormation are popular choices. • Configuration Management: Tools like Ansible, Puppet, and Chef automate the configuration of servers and software, ensuring consistent environments. • Orchestration: Orchestration tools like Kubernetes manage the deployment, scaling, and operation of containerized applications, providing automated workflows. • Monitoring and Logging: Tools such as Prometheus, ELK Stack, and Datadog provide real-time monitoring and logging, enabling proactive issue resolution. Implementing Cloud Automation Define Objectives and Requirements • Begin by identifying the specific tasks and processes that need automation. Understand your organizational goals, compliance requirements, and the expected outcomes of automation. Choose the Right Tools • Select tools that best fit your needs. For IaC, Terraform or AWS CloudFormation might be suitable. For configuration management, consider Ansible or Puppet. Evaluate tools based on compatibility, community support, and ease of integration. Develop and Test Automation Scripts • Write automation scripts to define your infrastructure and configuration. Thoroughly test the scripts in a staging environment to identify and fix any issues before deployment. Best Cloud Automation Certification Online Training Deploy and Monitor • Deploy your automation scripts in the production environment. Use monitoring tools to track performance and detect anomalies. Conclusion Cloud automation is essential for modern IT operations, enabling organizations to achieve greater efficiency, scalability, and reliability. By leveraging the right tools and following a structured implementation process, businesses can effectively automate their cloud environments, driving innovation and competitive advantage. Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. Avail complete Cloud Automation using Python & Terraform Worldwide You will get the best course at an affordable cost. Attend Free Demo Call on – +91-9989971070 WhatsApp: https://www.whatsapp.com/catalog/919989971070 Visit blog: https://visualpathblogs.com/ Visit: https://visualpath.in/cloud-automation-with-python-terraform.html
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  • Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo.
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  • Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo.
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  • Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo.
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    Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo. 📲Call +91-9989971070. 🌐Visit Blog: https://visualpathblogs.com/ 👉WhatsApp: https://www.whatsapp.com/catalog/917032290546/ 🌐Visit: https://www.visualpath.in/DevOps-docker-kubernetes-training.html #Docker #Kubernetes #CKS #CKAD #CKA #Helm #onlinetraining #kubelet #dockercontainer #GitOps #ansible #DevOps #Monitoring #ITSkills #Students #ITSkills #Education #trendingcourses #handsonlearning #RealTimeProjects #multicloud #k8s
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  • What is the Underlying Technology of Docker?
    Introduction:
    Docker underlying technology, containerization, offers a powerful solution to the age-old problem of "it works on my machine" by ensuring consistent environments from development to production.
    The Essence of Containerization:
    At the heart of Docker lies containerization, a lightweight form of virtualization that allows multiple containers to run on a single host machine. Unlike traditional virtual machines (VMs) that require a complete operating system for each instance, containers share the host OS kernel, making them more efficient and faster to start. Containers encapsulate an application and its dependencies into a single package, ensuring that it runs uniformly across various environments.
    Key Components of Docker:
    Docker Engine: The core of Docker, the Docker Engine, is responsible for creating and managing containers. It consists of a server (a daemon process), a REST API for interacting with the daemon, and a command-line interface (CLI) for issuing commands.
    Docker Images: Docker images are immutable templates that define the contents of a container. They are built from a series of layers, each representing a change or addition to the image. Images are created using a Dockerfile, a text file that contains instructions for building the image.
    Docker Containers: Containers are instances of Docker images. They are created from images and run in isolated environments. Containers can be started, stopped, moved, and deleted using Docker commands. Each container is assigned a unique ID and can be interacted with through the Docker CLI or API.
    Docker Registries: Registries are repositories for storing and distributing Docker images. Public registries, like Docker Hub, allow users to share and access images from around the world. Private registries can be set up for internal use within an organization, providing secure storage and access to proprietary images.
    How Docker Works:
    Namespaces: Docker uses Linux namespaces to provide isolated workspaces for containers. Namespaces ensure that each container has its own view of the system, including process trees, network interfaces, and mount points. This isolation prevents containers from interfering with each other or the host system.
    Control Groups (cgroups): Docker leverages cgroups to limit and prioritize resources such as CPU, memory, and disk I/O for containers. Cgroups ensure that containers do not consume more resources than allocated, maintaining system stability and performance.
    Union File Systems: Docker uses union file systems (such as OverlayFS) to manage the layers of images and containers. These file systems allow multiple file system layers to be transparently overlaid, providing efficient storage and quick image creation.
    Container Runtime: The container runtime is responsible for executing containers. Docker initially used its own runtime, but with the advent of the Open Container Initiative (OCI), it now supports runc, a lightweight, standards-compliant runtime.
    Conclusion:
    Docker's containerization technology has fundamentally changed the landscape of software development and deployment. By providing a consistent, efficient, and scalable way to package and run applications, Docker has addressed many challenges faced by developers and operations teams.
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    What is the Underlying Technology of Docker? Introduction: Docker underlying technology, containerization, offers a powerful solution to the age-old problem of "it works on my machine" by ensuring consistent environments from development to production. The Essence of Containerization: At the heart of Docker lies containerization, a lightweight form of virtualization that allows multiple containers to run on a single host machine. Unlike traditional virtual machines (VMs) that require a complete operating system for each instance, containers share the host OS kernel, making them more efficient and faster to start. Containers encapsulate an application and its dependencies into a single package, ensuring that it runs uniformly across various environments. Key Components of Docker: Docker Engine: The core of Docker, the Docker Engine, is responsible for creating and managing containers. It consists of a server (a daemon process), a REST API for interacting with the daemon, and a command-line interface (CLI) for issuing commands. Docker Images: Docker images are immutable templates that define the contents of a container. They are built from a series of layers, each representing a change or addition to the image. Images are created using a Dockerfile, a text file that contains instructions for building the image. Docker Containers: Containers are instances of Docker images. They are created from images and run in isolated environments. Containers can be started, stopped, moved, and deleted using Docker commands. Each container is assigned a unique ID and can be interacted with through the Docker CLI or API. Docker Registries: Registries are repositories for storing and distributing Docker images. Public registries, like Docker Hub, allow users to share and access images from around the world. Private registries can be set up for internal use within an organization, providing secure storage and access to proprietary images. How Docker Works: Namespaces: Docker uses Linux namespaces to provide isolated workspaces for containers. Namespaces ensure that each container has its own view of the system, including process trees, network interfaces, and mount points. This isolation prevents containers from interfering with each other or the host system. Control Groups (cgroups): Docker leverages cgroups to limit and prioritize resources such as CPU, memory, and disk I/O for containers. Cgroups ensure that containers do not consume more resources than allocated, maintaining system stability and performance. Union File Systems: Docker uses union file systems (such as OverlayFS) to manage the layers of images and containers. These file systems allow multiple file system layers to be transparently overlaid, providing efficient storage and quick image creation. Container Runtime: The container runtime is responsible for executing containers. Docker initially used its own runtime, but with the advent of the Open Container Initiative (OCI), it now supports runc, a lightweight, standards-compliant runtime. Conclusion: Docker's containerization technology has fundamentally changed the landscape of software development and deployment. By providing a consistent, efficient, and scalable way to package and run applications, Docker has addressed many challenges faced by developers and operations teams. Visualpath is the Leading and Best Institute for learning Docker and Kubernetes Online in Ameerpet, Hyderabad. We provide Docker Online Training Course, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Visit : https://www.visualpath.in/DevOps-docker-kubernetes-training.html WhatsApp : https://www.whatsapp.com/catalog/917032290546/ Visit Blog : https://visualpathblogs.com/
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  • How to implement Docker Compose?
    Introduction:
    Docker Compose is a powerful tool that simplifies the management of multi-container applications. As modern applications often consist of multiple interconnected services, managing these services individually can be complex and time-consuming.
    Why Use Docker Compose?
    Docker Compose offers several benefits that make it an essential tool for developers working with containerized applications
    Simplified Configuration: With Docker Compose, you can define your entire multi-container application in a single YAML file. This file describes the services, networks, and volumes needed, making it easy to understand and manage the application’s infrastructure.
    Automated Service Management: Docker Compose allows you to start, stop, and manage all the services in your application with a single command. This automation reduces the chances of human error and ensures that all services are correctly initialized.
    Consistent Environment: By using Docker Compose, you can ensure that your application runs in the same environment across different stages of development, testing, and production. This consistency minimizes the risk of environment-related issues.
    Scalability: Docker Compose makes it easy to scale your application by defining how many instances of each service you want to run. This feature is particularly useful for load balancing and handling increased traffic.
    Key Components of Docker Compose:
    Understanding the key components of Docker Compose is crucial for effectively using the tool:
    Services: Services are the main building blocks of a Docker Compose application. Each service corresponds to a container that runs a specific task or microservice, such as a web server, database, or cache. The configuration for each service includes the image to be used, environment variables, ports, and dependencies.
    Networks: Docker Compose allows you to define custom networks for your services. These networks facilitate communication between services, ensuring that they can interact with each other seamlessly. By default, Docker Compose creates a network for each application, but you can also define additional networks as needed.
    How Docker Compose Works:
    Define the Services: Create a docker-compose.yml file that defines all the services, networks, and volumes needed for your application. This file serves as the blueprint for your multi-container setup.
    Deploy the Application: Use the docker-compose up command to start and run all the services defined in the YAML file. Docker Compose will automatically pull the required images, create the containers, and configure the networks and volumes.
    Manage the Application: Docker Compose provides various commands to manage your application. For example, you can use docker-compose down to stop and remove all the containers, networks, and volumes created by the up command.
    Conclusion:
    Docker Compose is a valuable tool for managing multi-container applications efficiently. By defining your services, networks, and volumes in a simple YAML file, you can streamline the deployment and management of your application.
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    How to implement Docker Compose? Introduction: Docker Compose is a powerful tool that simplifies the management of multi-container applications. As modern applications often consist of multiple interconnected services, managing these services individually can be complex and time-consuming. Why Use Docker Compose? Docker Compose offers several benefits that make it an essential tool for developers working with containerized applications Simplified Configuration: With Docker Compose, you can define your entire multi-container application in a single YAML file. This file describes the services, networks, and volumes needed, making it easy to understand and manage the application’s infrastructure. Automated Service Management: Docker Compose allows you to start, stop, and manage all the services in your application with a single command. This automation reduces the chances of human error and ensures that all services are correctly initialized. Consistent Environment: By using Docker Compose, you can ensure that your application runs in the same environment across different stages of development, testing, and production. This consistency minimizes the risk of environment-related issues. Scalability: Docker Compose makes it easy to scale your application by defining how many instances of each service you want to run. This feature is particularly useful for load balancing and handling increased traffic. Key Components of Docker Compose: Understanding the key components of Docker Compose is crucial for effectively using the tool: Services: Services are the main building blocks of a Docker Compose application. Each service corresponds to a container that runs a specific task or microservice, such as a web server, database, or cache. The configuration for each service includes the image to be used, environment variables, ports, and dependencies. Networks: Docker Compose allows you to define custom networks for your services. These networks facilitate communication between services, ensuring that they can interact with each other seamlessly. By default, Docker Compose creates a network for each application, but you can also define additional networks as needed. How Docker Compose Works: Define the Services: Create a docker-compose.yml file that defines all the services, networks, and volumes needed for your application. This file serves as the blueprint for your multi-container setup. Deploy the Application: Use the docker-compose up command to start and run all the services defined in the YAML file. Docker Compose will automatically pull the required images, create the containers, and configure the networks and volumes. Manage the Application: Docker Compose provides various commands to manage your application. For example, you can use docker-compose down to stop and remove all the containers, networks, and volumes created by the up command. Conclusion: Docker Compose is a valuable tool for managing multi-container applications efficiently. By defining your services, networks, and volumes in a simple YAML file, you can streamline the deployment and management of your application. Visualpath is the Leading and Best Institute for learning Docker and Kubernetes Online in Ameerpet, Hyderabad. We provide Docker Online Training Course, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Visit : https://www.visualpath.in/DevOps-docker-kubernetes-training.html WhatsApp : https://www.whatsapp.com/catalog/917032290546/ Visit Blog : https://visualpathblogs.com/
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  • Docker & Kubernetes Online Recorded Demo Video
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  • What is the control plane node in Kubernetes?
    Introduction:
    Kubernetes, often abbreviated as K8s, has become the de facto standard for container orchestration. It automates the deployment, scaling, and management of containerized applications. Central to its architecture is the control plane node, which plays a crucial role in maintaining the desired state of the cluster.
    The Role of the Control Plane Node:
    The control plane node is the brain of a Kubernetes cluster. It is responsible for managing the state of the cluster, making decisions on scheduling, scaling, and managing the overall health of applications. The control plane consists of several key components that work together to ensure the cluster operates smoothly.
    Key Components of the Control Plane:
    API Server:
    The API Server is the central management entity that exposes the Kubernetes API. It is the primary interface for all administrative tasks. Users, both humans and automation tools, interact with the cluster through the API Server using RESTful calls. The API Server validates and processes REST requests, updating the cluster state accordingly.
    etcd:
    etcd is a consistent and highly-available key-value store used as Kubernetes' backing store for all cluster data. It stores the configuration data and state information of the cluster, ensuring consistency and durability. etcd is crucial for the operation of the control plane, as it holds the data necessary for Kubernetes to function correctly.
    Scheduler:
    The Scheduler is responsible for assigning newly created pods to nodes within the cluster. It evaluates the requirements of the pods, such as resource needs and affinity/anti-affinity rules, against the available resources on nodes. The Scheduler ensures optimal distribution of workloads to maintain balanced resource utilization across the cluster.
    Controller Manager:
    The Controller Manager runs a set of controllers, which are control loops that monitor the state of the cluster and make changes to achieve the desired state. These controllers include the Node Controller, Replication Controller, and Endpoints Controller, among others.
    Cloud Controller Manager:
    The Cloud Controller Manager interacts with the underlying cloud provider's API to manage cloud-specific resources. It abstracts cloud-specific logic from the core Kubernetes components, enabling the control plane to interact with various cloud services.
    The Importance of High Availability:
    Given its critical role, the control plane must be highly available and resilient. In a production environment, it is common to deploy multiple instances of control plane components across different nodes. This ensures that the cluster can continue operating even if one or more control plane nodes fail. High availability setups often involve load balancers to distribute requests across multiple API Server instances and etcd clusters to maintain data consistency.
    Securing the Control Plane:
    Security is paramount for the control plane, as it has complete control over the cluster.
    Best practices for securing the control plane include:
    Restricting API Access: Limiting access to the API Server to trusted users and services.
    Using TLS/SSL: Encrypting communication between control plane components and users.
    RBAC Policies: Implementing Role-Based Access Control (RBAC) to define fine-grained access permissions.
    Audit Logging: Enabling audit logging to monitor and review all actions performed within the cluster.
    Conclusion:
    The control plane node is the cornerstone of a Kubernetes cluster, orchestrating all activities and maintaining the desired state of the system. Its components, including the API Server, etcd, Scheduler, Controller Manager, and Cloud Controller Manager, work in unison to manage and scale applications effectively.
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    What is the control plane node in Kubernetes? Introduction: Kubernetes, often abbreviated as K8s, has become the de facto standard for container orchestration. It automates the deployment, scaling, and management of containerized applications. Central to its architecture is the control plane node, which plays a crucial role in maintaining the desired state of the cluster. The Role of the Control Plane Node: The control plane node is the brain of a Kubernetes cluster. It is responsible for managing the state of the cluster, making decisions on scheduling, scaling, and managing the overall health of applications. The control plane consists of several key components that work together to ensure the cluster operates smoothly. Key Components of the Control Plane: API Server: The API Server is the central management entity that exposes the Kubernetes API. It is the primary interface for all administrative tasks. Users, both humans and automation tools, interact with the cluster through the API Server using RESTful calls. The API Server validates and processes REST requests, updating the cluster state accordingly. etcd: etcd is a consistent and highly-available key-value store used as Kubernetes' backing store for all cluster data. It stores the configuration data and state information of the cluster, ensuring consistency and durability. etcd is crucial for the operation of the control plane, as it holds the data necessary for Kubernetes to function correctly. Scheduler: The Scheduler is responsible for assigning newly created pods to nodes within the cluster. It evaluates the requirements of the pods, such as resource needs and affinity/anti-affinity rules, against the available resources on nodes. The Scheduler ensures optimal distribution of workloads to maintain balanced resource utilization across the cluster. Controller Manager: The Controller Manager runs a set of controllers, which are control loops that monitor the state of the cluster and make changes to achieve the desired state. These controllers include the Node Controller, Replication Controller, and Endpoints Controller, among others. Cloud Controller Manager: The Cloud Controller Manager interacts with the underlying cloud provider's API to manage cloud-specific resources. It abstracts cloud-specific logic from the core Kubernetes components, enabling the control plane to interact with various cloud services. The Importance of High Availability: Given its critical role, the control plane must be highly available and resilient. In a production environment, it is common to deploy multiple instances of control plane components across different nodes. This ensures that the cluster can continue operating even if one or more control plane nodes fail. High availability setups often involve load balancers to distribute requests across multiple API Server instances and etcd clusters to maintain data consistency. Securing the Control Plane: Security is paramount for the control plane, as it has complete control over the cluster. Best practices for securing the control plane include: Restricting API Access: Limiting access to the API Server to trusted users and services. Using TLS/SSL: Encrypting communication between control plane components and users. RBAC Policies: Implementing Role-Based Access Control (RBAC) to define fine-grained access permissions. Audit Logging: Enabling audit logging to monitor and review all actions performed within the cluster. Conclusion: The control plane node is the cornerstone of a Kubernetes cluster, orchestrating all activities and maintaining the desired state of the system. Its components, including the API Server, etcd, Scheduler, Controller Manager, and Cloud Controller Manager, work in unison to manage and scale applications effectively. Visualpath is the Leading and Best Institute for learning Docker and Kubernetes Online in Ameerpet, Hyderabad. We provide Docker Online Training Course, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Visit : https://www.visualpath.in/DevOps-docker-kubernetes-training.html WhatsApp : https://www.whatsapp.com/catalog/917032290546/ Visit Blog : https://visualpathblogs.com/
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