You need to manage your System Development workflow. What cloud-based tools should you use?

Jira. A widely used project management tool. It is great for tracking tasks, issues, and software development projects. We can customize it to fit specific workflow and integrate it with other tools and streamline the development process.

Azure DevOps provides several tools and features for checking code quality in CI/CD pipelines, including SonarQube for continuous code inspection, ReSharper for static code analysis, WhiteSource for open-source security, CodeClimate for automated code quality analysis, and Azure DevOps Test Plan for validating code through testing. The Azure DevOps Marketplace also offers extensions such as "Checkmarx" for static security scans and "CodeScan" for Salesforce code quality. These tools promote clean, secure codebases and are integral to reliable software development practices in Azure DevOps environments.

Além do Jira, que é uma ferramenta abrangente e bem classificada no ranking da Gartner, também recomendo o Microsoft Azure DevOps. Integrado ao ecossistema Microsoft, ele proporciona uma variedade de ferramentas para rastreamento de trabalho, controle de vers?o, compila??o e teste automatizado.

When managing projects, one cannot ignore the expectation of completion, resources and people available for the project, the risks that may affect failure to complete on time, and the client's expectation of project completion.

Shell Scripting Mastery: Learn the basics of shell scripting for efficient command-line operations. Understand shell variables, conditionals, loops, and command substitution. Mastering shell scripting enhances your ability to automate tasks and manage systems. Version Control with Git: Familiarize yourself with Git for version control. It's an invaluable skill for collaborating on projects and tracking changes in your codebase. Build Projects: Apply your skills to real-world projects. Whether it's a web application, data analysis, or automation script, projects provide a tangible way to showcase your abilities and gain practical experience.

Azure DevOps, native support of git features and CI/CD pipelines, environments and releases, Wiki and integration with GitHub Advanced Security to ensure the security of the delivered code.

The choice of tools, whether it's GitLab, GitHub, Bitbucket, or others, is secondary to first understanding your specific needs and adapting to the context of your project. It's crucial to identify the requirements, workflow, and collaboration style of your team to select the most suitable code management solution.

Para o gerenciamento de código, plataformas como GitHub, GitLab e Bitbucket s?o indispensáveis. Elas oferecem controle de vers?o, revis?o de código, e funcionalidades de colabora??o. Essas plataformas s?o essenciais para manter o código organizado, facilitar a colabora??o entre os desenvolvedores e garantir que as mudan?as sejam rastreadas.

Github: provides hosting for software development and version control using Git, It also offers collaboration features. GitLab: A web-based DevOps lifecycle tool that provides a Git repository manager with CI/CD pipeline features.

If a company is using AWS they can use services for code management (CodeCommit), deployment (CodeDeploy), and release automation (CodePipeline), organizations can streamline their software development processes, ensure efficient deployment of applications across different environments, automate release workflows, and enhance collaboration among development teams.

Types of Testing: Unit testing: Testing individual components or pieces of code for functionality. Integrating Testing: Ensuring that different modules or services used by your application interact correctly. System Testing: Testing the complete and fully integrated software product to evaluate its compliance with the specified requirements. Acceptance Testing: Conducted to determine if the system satisfies the business requirements and is acceptable for delivery.

Open Source scanning tools can be integrated in the CI/CD pipeline for the purpose of testing . Tools like Sonarqube and PHPStan can be use to catch bugs and vulnerabilities in the application.

The test management module of Tuleap was very convenient in some of my previous missions. The tools was able to link user stories to test cases and bugs, and provide test campagnes in Release managment.

Testing and debugging are essential in system development to ensure code performs as expected and is error-free. It's important to test across various browsers and devices for compatibility. Cloud-based testing and debugging tools facilitate online code execution and troubleshooting. Key features to look for include a testing framework for unit, integration, and functional tests, debugging tools for error identification and resolution, an environment for cross-browser testing, reporting tools for test results analysis, and integration with other cloud tools like project management or deployment services.

Also, its important to has security test and prevent data leaking, the managers should think about running SAST and/or DAST scans, for instance using SonarQube to check it. Check periodically the coverage rate of testing to mantain the code with more tests as possible, is also necessary.

If a company is using Azure as a cloud service provider, Azure DevOps has the capabilities to provide the majority features. Azure DevOps has the capability for storing your code in either Azure git or in TFS. Azure DevOps can be used as a tool for building the code and deploying the code in Azure cloud (CI/CD).

AWS or Azure offers scalable cloud infrastructure for hosting applications, providing flexibility and reliability in deployment.

EKS and GKE provide managed Kubernetes clusters with built-in high availability, scalability, and security features. They handle cluster provisioning, upgrades, and maintenance tasks, reducing operational overhead. Also AWS or Google Cloud services for seamless deployment workflows and easier integration. Terraform enables infrastructure as code (IaC) by defining infrastructure configurations in declarative Terraform files. It supports deploying resources across multiple cloud providers and on-premises environments, allowing for consistent and reproducible deployments. Argo Rollouts enhances Kubernetes' native deployment capabilities by offering advanced deployment strategies such as canary deployments and blue-green deployments.

deployment is usually depends on your environment. For example, in AWS there is code deploy ( or if you want the full set you can use AWS Code Star). In Azure there is Azure devops which has good integrations with github and even MS Teams.

Deployment and hosting is a final phase and is crucial and also need to be careful when we are doing . Based on the type of project and its purpose and also the cloud providers a particular organization is using tools may vary. As my knowledge is concerned and also my experience I could say Jenkins terraform docker etc are some tools that we can use .

Database Management: Database management refers to the practices and technologies used to store manipulate, manage, and analyze data within databases. It encompasses a wide range of activities, from ensuring the performance, integrity, and security of the data, to performing backups and recovery, and making the data available to users and applications in an efficient and secure manner.

I only have 750 characters to address this so…For managing system development workflows in the cloud, consider tools like JIRA for project management, GitHub for version control, and Jenkins for your CI/CD. JIRA offers agile project management features, enabling effective sprint planning and issue tracking. GitHub provides a robust platform for code repository and collaboration, facilitating version control and peer review. Jenkins automates various stages of your development pipeline, from building to testing and deployment. Together, these tools streamline workflow management, enhance team collaboration, and ensure efficient, error-free releases. They’re crucial for teams aiming to optimize development processes in cloud environments.

In my experience one key aspect that it’s missing is to have security framework considered, RACI matrix for the responsibilities and some policy for tracking all your resources at some point.

Gerenciar o fluxo de trabalho no desenvolvimento de sistemas é crucial para garantir eficiência, colabora??o e entrega de projetos bem-sucedidos. A ado??o de ferramentas baseadas em nuvem tem se tornado uma prática comum para otimizar processos e facilitar a colabora??o entre equipes distribuídas.

Other critical area to consider that isn't much a factor in early stage is proper and correct Database Management. Starting with the right fit of cloud-based DBMS tools and future-proofing using best practices like data retention and data warehousing is a must.