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ITEC 4020 - L8: Cloud and Deployment Technologies
ITEC 4020 - L8: Cloud and Deployment Technologies
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44 Terms
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Cloud Computing
Delivery of computing resources (servers, storage, databases, networking) over the internet with on-demand access and pay-as-you-go pricing.
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On-Demand Self-Service
Ability for users to provision and manage resources automatically without human intervention from the provider.
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Ubiquitous Network Access
Cloud services are reachable from any device with internet connectivity.
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Resource Pooling
Cloud provider shares pooled resources across multiple clients using multi-tenancy.
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Rapid Elasticity
Ability to automatically scale resources up or down based on workload.
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Measured Service
Cloud usage is monitored, controlled, and billed based on consumption.
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IaaS
Infrastructure as a Service; provides virtual machines, storage, and networking while the user manages OS and applications.
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PaaS
Platform as a Service; provides runtime environments, tools, and libraries while the provider manages infrastructure.
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SaaS
Software as a Service; complete applications delivered through a browser, fully managed by provider.
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Public Cloud
Cloud resources offered to the general public over the internet.
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Private Cloud
Cloud environment dedicated to a single organization, offering more control and privacy.
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Hybrid Cloud
Combination of public and private cloud connected together for flexibility.
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Microservices
Architecture where applications are made of small, independent services that communicate over APIs.
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Monolithic Architecture
A single large unified application where all components are tightly coupled.
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Cloud-Native Applications
Applications designed specifically for the cloud environment with scalability, automation, and resilience built in.
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Container
A lightweight isolated environment that packages code and its dependencies for consistent execution across systems.
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Docker
Platform used to build, run, and manage containers efficiently.
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Docker Image
A read-only template containing application code and dependencies; used to create containers.
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Docker Container
A running instance of a Docker image.
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Dockerfile
A script containing instructions to build a Docker image.
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Docker Compose
Tool for defining and running multi-container applications using a YAML configuration file.
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Virtual Machine
A full OS virtualization environment running on a hypervisor, heavier and slower than containers.
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Kubernetes
Container orchestration platform used to manage deployment, scaling, and reliability of containerized apps.
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Pod
Smallest deployable unit in Kubernetes, containing one or more containers.
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Deployment
Kubernetes object that manages replicas of pods and handles rolling updates.
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Service
Stable network endpoint in Kubernetes that routes traffic to pods.
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etcd
Distributed key-value store used by Kubernetes to store cluster configuration data.
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Kubelet
Node agent that ensures containers in pods are running properly.
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Kube-Proxy
Handles networking and traffic routing on each Kubernetes node.
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Ingress
Kubernetes object that manages external access (usually HTTP/HTTPS) to services.
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ReplicaSet
Kubernetes controller ensuring a specific number of pod replicas are always running.
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API Gateway
Single entry point that handles routing, authentication, rate limiting, and monitoring across microservices.
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CI/CD
Pipeline for continuous integration and continuous deployment to automate building, testing, and delivering applications.
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Blue-Green Deployment
Deployment strategy with two identical environments, enabling zero downtime and instant rollback.
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Rolling Deployment
Gradual replacement of old application instances with new versions, reducing risk and downtime.
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Serverless (FaaS)
Model where the cloud provider manages servers; functions run on demand and scale automatically.
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Cold Start
Delay when invoking a serverless function that has been idle, due to container startup time.
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Vendor Lock-In
Difficulty migrating apps due to provider-specific services used in cloud environments.
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Infrastructure as Code
Managing and provisioning infrastructure using code (Terraform, CloudFormation).
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Autoscaling
Automatic adjustment of compute resources based on real-time load.
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Load Balancing
Distributing traffic across multiple instances or services for performance and reliability.
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High Availability
Design approach that minimizes downtime using redundancy and failover mechanisms.
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Immutable Infrastructure
Pattern where servers/containers are replaced instead of modified, ensuring consistency.
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Event-Driven Architecture
System design where components react to events rather than polling or continuous interaction.
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