Cloud-centric workflows are defined as business or operational processes that depend extensively on cloud computing services and platforms.

These workflows are characterized by their heavy reliance on cloud technology for executing tasks and managing operations. These workflows utilize the features of cloud infrastructure, including storage, computing power, and software applications, to optimize operations, increase scalability, and enhance collaboration.

Examples Include:

• Cloud Storage and Backup:

  Storing and backing up data on cloud platforms like AWS S3, Google Cloud Storage, or Microsoft Azure Blob Storage for reliability and accessibility.

• Software as a Service (SaaS):

  Utilization of cloud-based software applications, such as Salesforce, Microsoft 365, or Google Workspace, for collaborative work, document management, and communication.

• Infrastructure as a Service (IaaS):

  Deploying and managing virtualized computing resources, such as servers, networks, and storage, on platforms such as AWS EC2, Google Compute Engine, or Azure Virtual Machines.

• Platform as a Service (PaaS):

  Enables the development, testing, and deployment of applications on cloud platforms such as Heroku, Google App Engine, or Microsoft Azure App Service without the need to be concerned with the underlying infrastructure.

• Cloud-native Development:

  Building applications specifically designed to run on cloud infrastructure, utilizing microservices architecture, containers (e.g., Docker), and orchestration tools (e.g., Kubernetes).

• Collaboration and Communication:

  Using cloud-based tools such as Slack, Microsoft Teams, or Zoom for real-time communication, file sharing, and collaboration among remote teams.

• Big Data Analytics:

  Processing and analyzing large volumes of data using cloud-based services such as Google BigQuery, AWS Redshift, or Azure Synapse Analytics for business intelligence and decision-making.

• Serverless Computing:

  Developing and deploying applications without the need to directly manage servers, achieved by utilizing services such as AWS Lambda, Google Cloud Functions, or Azure Functions, which are designed for event-driven architectures.