You’re struggling to improve your cloud computing skills. What are the right tools to use?

According my way what I do is: To improve your cloud computing skills, consider using tools like AWS, Azure, or Google Cloud Platform for hands-on experience. Platforms like A Cloud Guru, Coursera, or Linux Academy offer comprehensive courses. Utilize Docker for containerization and Kubernetes for orchestration, and explore tools like Terraform for infrastructure as code. Continuous learning through documentation and community forums will also aid your skill development.

To improve cloud computing skills, use these tools: - Cloud Service Providers: AWS, Azure, GCP. - Infrastructure as Code: Terraform, AWS CloudFormation, Azure ARM Templates. - Containerization/Orchestration: Docker, Kubernetes. - CI/CD: Jenkins, AWS CodePipeline, Azure DevOps. - Monitoring/Logging: Prometheus, Grafana, CloudWatch, Azure Monitor. - Networking: Wireshark, AWS VPC, Azure Virtual Network. - Security: HashiCorp Vault, AWS IAM, Azure AD. - Learning Platforms: AWS Training, Microsoft Learn, Google Cloud Training. - Documentation: Official documentation of cloud platforms and tools. - Community/Forums: Engage in AWS, Azure, and GCP communities. - Project-based Learning: Use GitHub for hands-on, real-world projects.

In my Experiences No cloud knowledge? No sweating! Use free trials and sandboxes or try cloud simulators to explore safely. Strengthen your mind with interactive lessons and e-books. Join online communities, attend meetups, and find a cloud mentor to support you. Remember, it's a marathon, not a sprint. Combine practical activities and theoretical understanding, find your learning style and keep practicing. Soon you'll be flying through the clouds like a seasoned Skywalker!

Cloud computing is important term in current IT industry. Personal Interest & Industry demands are key factors, we lean towards cloud Computing. To Improve cloud computing skills there are various of tools. Under Cloud Platform we have AWS, Azure, Google Cloud Platform Etc. For Infrastructure as Code, we have Terraform, AWS CloudFormation, Azure Resource Manager, Templates Etc. To understand Containerization and Orchestration we do have Docker & Kubernetes. Every Firm are using CICD Process. Jenkins, GitLab CI are good example for CICD, Where as AWS Code Pipeline, Azure DevOps are platform specific CICD solution. No matter what tool we use, hands-on experience is crucial. So One must keeps Learning & practicing.

Kick off with big names like AWS, Azure, or Google Cloud. They've got loads of tools and stuff to play around with for hands-on learning.

To enhance my cloud computing skills, I leverage Cloud Integrated Development Environments (IDEs) like AWS Cloud9 or Microsoft Visual Studio Code Online. These platforms offer a comprehensive environment to write, run, and debug code directly in the cloud. For example, with AWS Cloud9, I can easily access a wide range of AWS services and develop serverless applications, gaining hands-on experience with AWS infrastructure. These IDEs also facilitate collaboration with teammates, allowing us to work on projects simultaneously from different locations. By using these tools, I effectively improve my cloud computing abilities through practical experience.

You can access your code from anywhere and on any device, as long as you have an internet connection. You can collaborate with other developers in real-time, share your code, and get feedback. You can save time and resources by using the cloud infrastructure and services, such as storage, databases, APIs, etc. Some examples of popular cloud IDEs are: AWS Cloud9: A cloud IDE for AWS that supports multiple languages and frameworks, such as Python, Ruby, Node.js, etc. Codeanywhere: A cloud IDE that supports over 75 languages and connects to various cloud providers, such as Google Cloud, Azure, Heroku, etc. Replit: A cloud IDE that lets you create and run code in any language, such as C++, Java, JavaScript, etc.

Practice on AWS, Azure, or Google Cloud for hands-on cloud experience. Explore Terraform, AWS CloudFormation, and serverless tools for automation and scalability.

A cloud IDE is a web-based integrated development platform. A cloud-based IDE is a programming environment that has been packaged as an application, typically consisting of a code editor, a compiler, a debugger and a graphical user interface (GUI) builder. Enterprises can either create a new IDE to run only in the cloud or transform a local IDE to run in cloud. Frequently, these IDEs are not only cloud-based but also designed for the creation of cloud apps. However, some cloud IDEs are optimized for the creation of native apps for smartphones, tablets and other mobile devices.

After selecting a cloud platform, a cloud IDE becomes your next essential tool, enabling coding directly in your browser without installations. Cloud IDEs like AWS Cloud9, Azure DevOps, Google Cloud Shell, and IBM Cloud Shell offer seamless integration with their respective cloud services. They allow real-time collaboration with other developers, ensuring your projects are accessible anytime, anywhere. The advantages of cloud IDEs include the ability to sync with cloud services easily, use of pre-configured environments, and access to a variety of templates to speed up development. This setup not only streamlines your workflow but also enhances productivity by leveraging cloud capabilities directly from your development environment.

Cloud SDK provides language-specific Cloud Client Libraries supporting each language’s natural conventions and styles. This makes it easier for you to interact with Google Cloud APIs in your language of choice. Client libraries also handle authentication, reduce the amount of necessary boilerplate code, and provide helper functions for pagination of large datasets and asynchronous handling of long-running operations.

To enhance your cloud computing capabilities, incorporating a cloud SDK (software development kit) is vital. Cloud SDKs provide libraries and tools tailored for interacting with specific cloud platforms, enabling you to develop, manage, and deploy applications in your chosen language and framework. They offer direct access to platform-specific APIs and services, such as authentication, storage, and messaging. Popular SDKs include AWS SDK for Amazon Web Services, Azure SDK for Microsoft Azure, Google Cloud SDK for Google Cloud Platform, and IBM Cloud SDK for IBM Cloud. Utilizing these SDKs allows for more efficient and effective application development by leveraging the full range of features and capabilities of the cloud platform.

Every vendor have their own SDK. You can pick and choose whomever's cloud offering you are using. SDKs are the libs and APIs you'd use in your product to connect to the cloud services and consume them.

After you select any one of the public cloud platforms to learn, firstly you should try to provision cloud resources manually from the selected cloud platforms web console as part of your initial learning. Later on you can use the CLI provided by that cloud platform to automate the provisioning of the same cloud resources that you manually provisioned from the web console. This way you can learn how to automate the provisioning of cloud resources using bash scripts that could include those CLI commands. Though there are better tools out there for automating the provisioning of cloud resources like terraform, but learning the cloud CLI could be a good first step towards learning how to automate the provisioning of cloud resources.

A cloud CLI is an indispensable tool for managing tasks on a cloud platform through terminal commands. It enables you to create and configure cloud resources like instances, buckets, and databases efficiently. Beyond setup, a cloud CLI is crucial for monitoring, troubleshooting applications, and automating workflows with scripts. Its speed and convenience often surpass web consoles or graphical interfaces, making it a favored choice for many developers. Prominent cloud CLIs include AWS CLI for Amazon Web Services, Azure CLI for Microsoft Azure, Google Cloud CLI for Google Cloud Platform, and IBM Cloud CLI for IBM Cloud, each offering a powerful way to interact with their respective cloud environments directly from the command line.

When running cloud-native applications you want it to be easy to provision the infrastructure, whether that be for a new environment or in case of a disaster recovery. A popular way to achieve this is with scripted infrastructure, or infrastructure-as-code as it is usually called. Terraform is one such tool - and it works with several different cloud providers. It could thus be beneficial to take it for a spin - try to set it up to e.g. create a database and maybe with a resource for storing the connection string linked to it (a key vault in Azure).

1?? AWS CLI: For Amazon Web Services, the AWS Command Line Interface is a unified tool to manage your AWS services. 2?? Azure CLI: For Microsoft Azure, the Azure Command-Line Interface (Azure CLI) is a set of commands used to create and manage Azure resources. 3?? Google Cloud SDK: For Google Cloud Platform, the Google Cloud SDK provides a set of tools including the gcloud command-line tool. 4?? IBM Cloud CLI: For IBM Cloud, the IBM Cloud CLI provides complete command-line access to your IBM Cloud resources. 5?? Tutorials and Documentation: Each CLI tool has extensive documentation and tutorials which are essential for learning.

CLI is often preferred for automation, scripting, and complex configurations, offering more control and speed. GUI, on the other hand, is user-friendly and suitable for simpler tasks, visualization, and those who prefer a visual approach. Many professionals use a combination of both, selecting the tool that best suits the specific task at hand.

1?? JMeter: An open-source tool for load testing and measuring performance. 2?? CloudTest: A tool for stress testing web and mobile apps at scale. 3?? BlazeMeter: A cloud-based performance testing platform for APIs, mobile apps, and websites. 4?? LoadStorm: A cloud load testing tool for web and mobile applications. 5?? AWS Device Farm: Amazon's app testing service that lets you test and interact with Android, iOS, and web apps on many devices at once.

Other tools are also available apart from cloud provider provides as below: Selenium: An open-source testing framework for web applications. Jenkins: Used for continuous integration and continuous delivery (CI/CD) in the cloud. JMeter: An open-source tool for performance and load testing. Postman: Ideal for API testing and automation. Applitools: Specializes in visual testing and monitoring. BlazeMeter: A cloud-based performance testing platform. TestRail: A web-based test case management tool. BrowserStack: Enables cross-browser testing in the cloud. These tools complement cloud provider services for comprehensive testing in cloud environments.

Stop learning and start doing! It is important to balance learning and doing. Getting sucked into endless tutorials and courses on how to do something will not lead anyone to becoming an expert in the topic. Tutorials are useful for getting basic information, but in the ever changing technological landscape, you will become obsolete in no time. Aim at applying what you have learned shortly after learning it. This serves to solidify the skills learnt, and eventually will net you some real life experience that you can add to your portfolio.

When learning anything new, nothing beats hands-on practice ! It helps reinforce your learnings ! A lot of these public cloud platforms provide a limited set of free learning resources that you can use to build up your initial knowledge. Also, all the cloud platforms offer generous free trial periods with free credits when you sign-up for a new account. You can use this free trial period and credits to get hands-on practice and learn cloud in a practical way. Later on you can pursue certifications to go really deep on your selected domain on the cloud that you want to focus on like DevOps, ML, etc. There a lot of free & paid certification courses on the various learning platforms which you can use to prepare for these certifications.

One thing that I found particularly useful is getting out from the learning cave, because sometimes we are stucked in endless tutorials and courses and don't actually apply what we've learnt. So, after learning the basics try to do a little project to apply the skills and knowledge that you gain and after that go for a more robust one. Don't forget to document everything that you do, and create a blog, a post somewhere to share... This because the thing you are struggling with could be somebody else problem/struggle. ??

Explore reputable sources like official provider documentation, online courses on platforms like Coursera and Udemy, and certification programs from AWS, Azure, and Google Cloud. Stay updated with blogs from Cloud Academy, Cloudflare, and others. Practice with hands-on labs on platforms like Qwiklabs, A Cloud Guru, and Linux Academy. NOTE: IF YOU DON'T HAVE FUNDS YOU CAN APPLY FOR FINANCIAL AID REQUEST THAT WORKS FOR ME.