DevOps, Cloud & Infrastructure

Comparison of Linux containers and Docker: namespaces, cgroups, image formats, runtimes, portability, orchestration, layering, tooling, isolation and resource controls. differences.

Automated deployment pipeline using Ansible playbooks: repo triggers CI/CD, control node runs playbooks to provision servers, configure services, deploy app, and run health checks.

Illustration of cloud backup architecture showing encrypted data replication across multiple regions automated snapshots orchestrated failover, and real-time monitoring dashboards.

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Diagram of Docker Compose process: write docker-compose.yml to define services, build images, connect networks and volumes, then deploy and scale multiapp applications efficiently.

Cloud monitoring: Prometheus scrapes exporters from VMs, containers, Kubernetes; central time series storage, Alertmanager fires alerts; Grafana shows dashboards, panels, metrics..

Graphic illustrating serverless computing for beginners: developers upload functions to managed cloud, events trigger automatic scaling, no server maintenance, pay-per-use billing.

IaC diagram: teams write version-controlled config to provision and manage infrastructure automatically, enabling consistent, repeatable, and scalable deployments across environments.

Diagram showing steps to build a CI/CD pipeline with GitHub Actions: code commit, automated tests, container build, workflow YAML deployment to cloud, monitoring and feedback loop.

Three cloud platforms - AWS, Azure, Google Cloud - shown as logos on podium steps; a learner weighing skills, job demand, ecosystem and cost to decide which cloud to study in 2025.

Step-by-step Terraform workflow: plan, versioned configs, apply changes, provision cloud resources, automate pipelines, monitor state and collaborate on infrastructure as code IaC.

Kubernetes diagram: Pods run containers, Deployments manage replicas and rollouts, Services provide stable virtual IP and load balancing so pods are reachable by clients plus DNS.