Master Linux, networking, version control, CI/CD, containers, Kubernetes, infrastructure as code, cloud providers, and production operations for a robust DevOps career.
Establish a strong base in operating systems, essential command-line tools, version control, and fundamental networking concepts crucial for any DevOps role.
Deep dive into Linux file systems, permissions, process management, user and group management, package management (apt/yum/dnf), and system monitoring utilities (top, df, du, journalctl).
Automate complex tasks with robust shell scripts, covering conditional logic, loops, functions, error handling, environment variables, and powerful text processing tools (sed, awk, grep, jq).
Master advanced Git concepts including branching strategies (Gitflow, Trunk-Based Development), rebasing, cherry-picking, interactive rebase, Git hooks, and resolving complex merge conflicts.
Understand core networking protocols (TCP/IP, HTTP/S, DNS, DHCP), common utilities (ping, traceroute, netstat, ss, curl, telnet), firewall concepts (iptables/nftables, firewalld), VPN basics, and TLS/SSL.
Design, implement, and manage robust Continuous Integration and Continuous Delivery pipelines for automated testing, artifact management, and reliable application deployments.
Understand core CI/CD principles, common pipeline stages (build, test, deploy), triggers, variables, and explore popular tools like GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI.
Integrate various automated tests (unit, integration, E2E, linting, performance) and security scans (SAST, DAST, SCA, secret scanning, supply chain security) into CI pipelines.
Manage build artifacts with versioning, utilize artifact repositories (Nexus, Artifactory), configure environment-specific variables, and securely handle secrets (Vault, Kubernetes Secrets, cloud KMS).
Implement sophisticated deployment patterns like Blue/Green, Canary releases, rolling updates, A/B testing, and dark launches. Design robust rollback plans and automated recovery mechanisms.
Hands-on exercises to diagnose, debug, and fix common CI/CD pipeline failures related to build, testing, deployment, environment configuration, and network issues. Implement pipeline resilience and fault tolerance.
Understand GitOps principles for managing infrastructure and application configurations. Implement declarative deployments using tools like Argo CD or Flux for Kubernetes.
Master container technologies with Docker, learn to manage multi-service applications, and operate highly available, scalable workloads using Kubernetes.
Learn Docker basics: images, containers, volumes, networks. Create efficient and secure Dockerfiles, understand multi-stage builds, and optimize image sizes for production.
Orchestrate multi-container applications locally using Docker Compose, including advanced features like custom networks, volume management, health checks, environment configurations, and extension fields.
Understand public and private container registries (Docker Hub, ECR, GCR, ACR), image tagging, versioning, and integrating container image vulnerability scanning (e.g., Trivy, Clair) into CI/CD workflows.
Explore Kubernetes architecture: master and worker nodes, control plane components (API Server, etcd, Scheduler, Controller Manager, Cloud Controller Manager), and kubelet/kube-proxy. Understand how these components interact.
Deploy, manage, and scale applications using core Kubernetes workload objects: Pods, Deployments, ReplicaSets, DaemonSets, StatefulSets, Jobs, and CronJobs. Understand resource requests and limits.
Expose and connect applications within and outside the cluster using Kubernetes Services (ClusterIP, NodePort, LoadBalancer, ExternalName), Ingress controllers, and understand fundamental CNI concepts and Network Policies.
Dive into Kubernetes storage solutions (Volumes, Persistent Volumes, Persistent Volume Claims, StorageClasses). Manage application configuration with ConfigMaps and Secrets. Implement basic cluster security with RBAC and Service Accounts.
Use Helm to define, install, and upgrade complex Kubernetes applications using Charts. Learn to create custom charts, manage releases, and leverage public/private Helm repositories.
Explore advanced Kubernetes concepts such as Custom Resource Definitions (CRDs), Operators, Admission Controllers, and Service Mesh (Istio/Linkerd) for enhanced traffic management and security.
Provision and manage cloud infrastructure using IaC, implement robust observability, master incident response, and apply Site Reliability Engineering principles for highly available and resilient systems.
Introduction to core cloud computing concepts, service models (IaaS, PaaS, SaaS, FaaS), and foundational services of a major cloud provider (e.g., EC2, S3, VPC, IAM, RDS on AWS, or equivalent on Azure/GCP).
Master Infrastructure as Code (IaC) principles. Use Terraform to declaratively define, provision, and manage cloud resources across various providers with state management, modules, and workspaces. Explore Terragrunt for advanced use cases.
Automate server configuration, application deployment, and orchestration using Ansible. Learn playbooks, roles, inventory management, dynamic inventories, and securing credentials with Ansible Vault.
Implement comprehensive observability solutions: metrics collection and visualization (Prometheus, Grafana, cloud monitoring services), centralized logging (ELK stack, Loki, Splunk, cloud logging), and distributed tracing (Jaeger, OpenTelemetry).
Learn Site Reliability Engineering (SRE) principles including SLAs, SLOs, SLIs, error budgets. Implement robust incident response methodologies, create effective runbooks, and conduct blameless post-mortems for continuous improvement and learning.
Understand and implement cloud security best practices: Identity and Access Management (IAM), network security (VPC, Security Groups, WAF, Private Endpoints), encryption, compliance. Strategies for monitoring and optimizing cloud costs (FinOps), and governance.
Apply all learned concepts to design, build, deploy, monitor, and maintain a real-world, highly available, scalable, and secure application on a chosen cloud provider using CI/CD, containers, Kubernetes, IaC, and SRE practices.