cloud-computing

An open-source container orchestration system for automating deployment, scaling, and management of containerized applications across clusters of hosts.

Machine learning model deployment is the process of integrating trained ML models into production environments where they can serve real-time predictions, enabling applications to make data-driven decisions at scale.

AWS Lambda is a serverless compute service, and Amazon DynamoDB is a fully managed NoSQL database. Together, they enable efficient, scalable, and serverless data processing architectures.

AWS Lambda is a serverless, event-driven compute service that lets you run code without provisioning or managing servers. It automatically scales your application and executes code in response to events.

Google Kubernetes Engine (GKE) is Google Cloud's fully managed Kubernetes service that provides automated container orchestration, scaling, and management with integrated security, monitoring, and multi-cluster capabilities.

Amazon EC2 is a cloud computing service that provides resizable virtual servers (instances) in AWS's infrastructure, allowing users to launch, configure, and manage computing resources on-demand without physical hardware constraints.

Cloud provider developer tools are comprehensive suites of integrated development, deployment, and DevOps services that enable software teams to build, test, and deploy applications across AWS, Azure, and Google Cloud infrastructures with automated CI/CD pipelines.

A cloud service by Amazon Web Services that facilitates the migration of databases to AWS quickly, securely, and with minimal downtime.

Docker is a containerization platform that packages applications with their dependencies into portable, lightweight containers for consistent deployment across different environments.