Linux & System Foundations
Linux fundamentals, shell environments, processes, permissions, packages, services and system administration concepts.
Explore the DevOps Academy learning environment, engineering concepts, tools, projects and professional pathways.
Linux fundamentals, shell environments, processes, permissions, packages, services and system administration concepts.
Version control workflows, branching, merging, pull requests, collaboration and release-oriented Git practices.
Container concepts, images, registries, Dockerfiles, networking, storage and containerized application workflows.
Kubernetes architecture, workloads, services, configuration, storage, scaling and cluster operations.
Continuous integration, continuous delivery, pipelines, testing gates, artifact flows and deployment strategies.
Cloud infrastructure concepts, compute, networking, storage, IAM, managed services and operational patterns.
Infrastructure as Code principles, configuration, modules, state, planning and repeatable infrastructure workflows.
Configuration management, inventories, playbooks, roles, automation workflows and infrastructure consistency.
Metrics, logs, traces, dashboards, alerting, observability design and operational visibility.
Security integrated into development and operations through secure pipelines, secrets management and policy controls.
Python-based automation for operational tasks, APIs, infrastructure workflows and engineering productivity.
Reliability principles, service objectives, incident response, capacity, resilience and operational excellence.
Networking concepts, routing, DNS, load balancing, private networks and service connectivity.
Identity, permissions, credentials, secret storage, least privilege and secure automation principles.
Database deployment, backups, migrations, connectivity, configuration and operational database workflows.
Rolling, blue-green, canary and progressive delivery concepts with controlled release practices.
Developer platforms, reusable infrastructure, internal tooling, golden paths and engineering enablement.
Performance thinking, bottleneck analysis, resource utilization and system optimization.
Incident lifecycle, triage, communication, recovery, post-incident learning and resilience practices.
Build an end-to-end educational DevOps environment combining source control, CI/CD, containers, infrastructure and observability.
This demonstration represents a future educational sandbox request. It does not connect to or modify a production infrastructure environment.