AI Deployment
AI deployment is the process of integrating a trained artificial intelligence model into a live environment where it can be used by real users or systems.
AI Pipeline
An AI pipeline is a structured sequence of steps that takes data from collection through processing, model training, deployment, and ongoing monitoring.
AI Workflow
An AI workflow is a structured sequence of steps that defines how artificial intelligence systems are designed, trained, deployed, monitored, and improved.
AIOps
AIOps is the application of artificial intelligence to IT operations to automate and enhance data analysis, problem detection, and resolution.
Alerting
Alerting is the process of notifying users or systems about important events, changes, or issues that require immediate attention.
Ansible
Ansible is an open-source automation tool used for configuration management, application deployment, and task automation.
Argo
Argo is an open-source container-native workflow engine designed to run and manage complex jobs on Kubernetes.
Artifact Store
Artifact Store is a centralized repository where digital assets, such as build files and deployment packages, are securely stored and managed for software development and delivery.
Auto-Scaling
Auto-scaling is an automated process that adjusts computing resources dynamically based on demand to maintain optimal performance and cost efficiency.
AWS SageMaker
AWS SageMaker is a fully managed machine learning service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
Azure Machine Learning
Azure Machine Learning is a cloud-based platform by Microsoft that enables developers and data scientists to build, train, and deploy machine learning models efficiently.
Batch Serving
Batch serving is the process of delivering large volumes of data or content in scheduled groups rather than in real-time.
BentoML
BentoML is an open-source platform designed to simplify the deployment, management, and scaling of machine learning models as production-ready APIs.
Blue-Green Deployment
Blue-Green Deployment is a software release strategy that reduces downtime and risk by running two identical production environments.
Canary Deployment
Canary Deployment is a software release strategy that gradually rolls out new code to a small subset of users before a full-scale launch.
Chaos Engineering
Chaos Engineering is the practice of intentionally introducing controlled failures into a system to identify weaknesses and improve its resilience.
ChatOps
ChatOps is a collaboration model that integrates chat platforms with operational tools to streamline communication and automate workflows in real-time.
Cloud Cost Optimization
Cloud Cost Optimization is the process of reducing and managing expenses related to cloud computing resources without compromising performance or scalability.
CloudFormation
CloudFormation is an AWS service that enables you to model, provision, and manage cloud infrastructure as code using templates.
Code Versioning
Code versioning is the practice of managing and tracking changes to software source code over time using specialized tools.
Cold Start
Cold Start is the challenge of making accurate recommendations or predictions when a system has little or no initial data about users or items.
Confidential Computing
Confidential Computing is a technology that protects data in use by performing computation within a secure, isolated environment called a trusted execution environment (TEE).
Containerization
Containerization is a technology that packages software and its dependencies into isolated, lightweight units called containers to ensure consistent operation across different environments.
Continuous Delivery
Continuous Delivery is a software development practice where code changes are automatically prepared for release to production, ensuring reliable and frequent deployments.
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