DevOps Engineer
Master DevOps engineering — Linux, networking, CI/CD, Docker, Kubernetes, Helm, AWS, Terraform, Ansible, monitoring, logging, SRE, DevSecOps, GitOps, and platform engineering. 20 comprehensive phases from fundamentals to production-grade infrastructure.
Your Progress
Complete all 20 phases to master this track
Comprehensive DevOps engineer roadmap — 20 phases from Linux fundamentals through networking, CI/CD, Docker, Kubernetes, Helm, AWS, Terraform, Ansible, monitoring, logging, SRE, DevSecOps, GitOps, and platform engineering.
Phase 1: DevOps Foundations
Understand the core philosophy, principles, and cultural practices that define DevOps and modern software delivery.
DevOps Philosophy and Culture
Learn the core values of DevOps including collaboration, shared ownership, and continuous improvement across development and operations.
The DevOps Lifecycle
Map the infinite loop of Plan, Code, Build, Test, Release, Deploy, Operate, and Monitor in a DevOps workflow.
CI/CD Core Concepts
Differentiate continuous integration, continuous delivery, and continuous deployment and their roles in fast software delivery.
Infrastructure as Code Concepts
Understand how defining infrastructure through code enables version control, reproducibility, and automated provisioning.
Configuration Management Concepts
Learn how configuration management tools maintain desired system states across thousands of servers automatically.
DevOps Automation Principles
Master the principles of automating repetitive tasks, reducing manual toil, and building self-healing systems.
Immutable Infrastructure
Understand the immutable infrastructure pattern where servers are replaced rather than modified in place.
SRE vs DevOps
Compare Site Reliability Engineering with DevOps, understanding how SRE implements DevOps through error budgets and SLIs.
DevSecOps Introduction
Learn how shifting security left into every phase of the pipeline reduces vulnerabilities and accelerates delivery.
GitOps Introduction
Explore GitOps as a operational model where Git repositories serve as the single source of truth for infrastructure.
Platform Engineering Introduction
Discover how internal developer platforms abstract infrastructure complexity and accelerate developer productivity.
Production Environments
Understand the components, requirements, and operational practices needed to maintain stable production systems.
DevOps Metrics and DORA
Measure software delivery performance with DORA metrics including deployment frequency, lead time, and change failure rate.
Value Stream Mapping
Map the flow of work from idea to production to identify bottlenecks, waste, and improvement opportunities in delivery.
The DevOps Toolchain
Explore the integrated tools for planning, coding, building, testing, releasing, deploying, operating, and monitoring.
Phase 2: Linux Fundamentals
Master the Linux operating system architecture, command line, and essential system administration skills for DevOps.
Linux Architecture
Learn the kernel, shell, init systems, and user space components that form the Linux operating system.
Filesystem Hierarchy Standard
Navigate the FHS directory structure including /etc, /var, /usr, /opt, and understand the purpose of each directory.
File and Directory Operations
Master essential commands for creating, copying, moving, renaming, and deleting files and directories in Linux.
Linux Permissions
Understand Unix file permissions, ownership, chmod, chown, and special permission bits like SUID and SGID.
Users and Groups
Manage user accounts, groups, password policies, and sudo configuration for multi-user Linux systems.
Process Management
List, monitor, and manage running processes using ps, top, htop, kill, and process priority adjustments.
Linux Signals
Understand signal types like SIGTERM, SIGKILL, SIGHUP and how they enable inter-process communication and graceful shutdowns.
systemd and Service Management
Write and manage systemd unit files, control services, timers, and understand the modern Linux init system.
Environment Variables
Set, export, and manage environment variables to configure shell sessions and application runtime behavior.
Package Managers
Install, update, remove, and query packages using apt, yum, dnf, and manage software repositories.
SSH and Remote Access
Configure SSH key-based authentication, harden SSH servers, and establish secure remote connections.
Cron and Job Scheduling
Create and manage cron jobs and systemd timers to automate recurring tasks on Linux systems.
System Logs and Journal
Read and analyze system logs using journalctl, syslog, dmesg, and configure log rotation with logrotate.
Disk and Storage Management
Partition disks, create filesystems, mount volumes, and manage disk usage with fdisk, mkfs, and df commands.
The /proc and /sys Filesystems
Explore virtual filesystems that expose kernel parameters, hardware info, and runtime system configuration.
Phase 3: Shell and Automation
Write robust Bash scripts to automate system administration, data processing, and DevOps workflows.
Bash Scripting Fundamentals
Write and execute Bash scripts with proper shebangs, comments, and basic structure for automation tasks.
Variables and Data Types
Declare local and global variables, use string and numeric types, and perform variable substitution in Bash.
Conditionals and Test Expressions
Use if/elif/else, case statements, and test expressions to implement branching logic in shell scripts.
Loops and Iteration
Master for, while, and until loops with break and continue to iterate over files, numbers, and command output.
Functions and Modular Scripts
Define reusable functions with parameters, return values, and local variables to structure complex scripts.
Arrays in Bash
Work with indexed and associative arrays to store, iterate, and manipulate collections of data.
Exit Codes and Error Handling
Use exit codes, trap signals, and set -e to build scripts that fail gracefully and report errors clearly.
Standard I/O and Redirection
Redirect stdin, stdout, and stderr; use pipes, here-documents, and file descriptors to control data flow.
grep, sed, and awk
Extract, transform, and analyze text data using pattern matching with grep, stream editing with sed, and field processing with awk.
cut, sort, uniq, and tr
Parse columns, sort lines, deduplicate output, and translate characters for efficient text manipulation pipelines.
find and xargs
Locate files by name, size, or time and batch-process them with xargs to automate bulk operations.
JSON Processing with jq
Parse, filter, and transform JSON data from APIs and config files using the jq command-line tool.
Defensive Bash Scripting
Write scripts with set -euo pipefail, input validation, quoting, and error trapping for production reliability.
Logging and Output Formatting
Implement colored output, structured logging functions, and log levels to make scripts readable and debuggable.
Shell Automation Project
Build a complete automation project that deploys, monitors, and manages server configurations using Bash scripts.
Phase 4: Networking Fundamentals
Understand networking protocols, configurations, and troubleshooting essential for DevOps infrastructure.
OSI Model
Learn the seven layers of networking from physical signals to application protocols and how they interact.
TCP/IP Protocol Suite
Understand the four-layer TCP/IP model and the protocols that power modern internet communication.
Ethernet and Layer 2
Learn how Ethernet frames, MAC addresses, switches, and VLANs operate at the data link layer.
IP Addressing and Subnetting
Master IPv4 addressing, CIDR notation, subnet masks, and calculate network and host ranges accurately.
Routing and ARP
Understand how routers forward packets between networks and ARP resolves IP addresses to MAC addresses.
TCP Deep Dive
Explore TCP connection lifecycle, three-way handshake, flow control, congestion control, and connection states.
UDP Protocol
Learn when to use UDP over TCP for low-latency applications like DNS, video streaming, and gaming.
Ports and Sockets
Understand port numbers, well-known ports, ephemeral ports, and how sockets combine IP addresses with ports.
DNS Resolution
Trace the full DNS resolution path from recursive resolvers through root, TLD, and authoritative nameservers.
HTTP, HTTPS, and TLS
Understand HTTP methods, status codes, headers, and how TLS encryption secures web communications end-to-end.
NAT and Proxy Servers
Learn how Network Address Translation conserves IPs and proxies provide caching, logging, and access control.
Firewalls and Packet Filtering
Configure iptables, nftables, and cloud security groups to filter traffic and protect network boundaries.
Load Balancing
Compare load balancing algorithms like round-robin, least connections, and consistent hashing for distributing traffic.
Network Troubleshooting
Use ping, traceroute, nslookup, netstat, and tcpdump to diagnose and resolve network connectivity issues.
Phase 5: Git and Version Control
Master Git version control for collaborative development, branching strategies, and code management.
Git Fundamentals
Initialize repositories, stage changes, commit snapshots, and understand Git's working tree, staging area, and HEAD.
Branching and Merging
Create branches, switch contexts, merge with fast-forward and three-way strategies, and resolve merge conflicts.
Rebase and Cherry-Pick
Rewrite commit history cleanly with rebase and selectively apply commits with cherry-pick for precise history management.
Stash and Tags
Temporarily shelve changes with stash and create lightweight and annotated tags to mark release points.
Git Hooks
Automate pre-commit checks, commit message validation, and pre-push tests using client-side and server-side Git hooks.
Conventional Commits
Adopt the conventional commits specification for structured commit messages that enable automated changelogs.
Pull Requests and Code Review
Create effective pull requests, review code constructively, and use approvals and comments in collaborative workflows.
Branching Strategies
Compare Git Flow, GitHub Flow, and trunk-based development to choose the right branching strategy for your team.
Repository Security
Protect branches, manage access controls, scan for secrets in commits, and enforce signed commits.
Advanced Git Operations
Use reflog, bisect, worktrees, and submodules to solve complex version control scenarios efficiently.
Phase 6: CI/CD Pipelines
Design, build, and optimize continuous integration and deployment pipelines for reliable software delivery.
CI/CD Pipeline Concepts
Understand pipeline stages, triggers, parallelism, and how CI/CD connects code changes to production deployments.
Pipeline Architecture
Design pipeline topologies including linear, DAG, and fan-in/fan-out patterns for complex build workflows.
Build Pipelines
Configure automated build stages that compile code, run unit tests, and produce versioned artifacts consistently.
Test Pipelines
Integrate unit, integration, and end-to-end tests into pipelines with proper reporting and failure handling.
Artifact Management
Version, store, and promote build artifacts across environments using artifact repositories like Nexus and Artifactory.
Deployment Pipelines
Automate deployment to staging and production with approval gates, environment variables, and rollback strategies.
Blue-Green Deployments
Implement zero-downtime deployments by maintaining two identical environments and switching traffic between them.
Canary Deployments
Roll out changes to a small subset of users first, monitor metrics, and gradually increase traffic to detect issues early.
Rolling Deployments
Update instances incrementally across a cluster to maintain availability while deploying new versions continuously.
GitHub Actions
Build CI/CD workflows with GitHub Actions using YAML syntax, reusable actions, and matrix builds.
Jenkins Pipelines
Create Jenkinsfile-based pipelines with stages, parallel execution, and shared libraries for enterprise CI/CD.
GitLab CI/CD
Configure .gitlab-ci.yml with stages, jobs, caching, and environment-specific deployments in GitLab pipelines.
Pipeline Security
Secure CI/CD pipelines with secret scanning, signed artifacts, protected branches, and least-privilege service accounts.
Pipeline Caching Strategies
Speed up pipelines with dependency caching, Docker layer caching, and build artifact reuse across runs.
CI/CD Pipeline Project
Build a complete CI/CD pipeline from code commit to production deployment with testing, security scanning, and rollback.
Phase 7: Docker
Master containerization with Docker to build, ship, and run applications in isolated, portable environments.
Containers vs Virtual Machines
Compare containerization with virtualization to understand performance, isolation, and resource efficiency tradeoffs.
Docker Architecture
Understand the Docker daemon, client, registries, and how container images are built and executed.
Docker CLI
Master essential Docker commands for running, inspecting, stopping, and managing containers from the command line.
Docker Images
Build, tag, and manage Docker images using Dockerfiles and understand image layers and content-addressable storage.
Dockerfiles
Write optimized Dockerfiles with proper layer ordering, instruction caching, and security best practices.
Image Layers and Build Cache
Optimize build times by understanding layer caching, build context, and how to restructure Dockerfiles for cache hits.
Container Registries
Push, pull, and manage images in Docker Hub, ECR, GCR, and private registries with authentication and versioning.
Volumes and Persistent Storage
Use named volumes, bind mounts, and tmpfs mounts to persist data beyond container lifecycle and share data between containers.
Docker Networking
Configure bridge, host, overlay, and none networks to control container communication and external connectivity.
Environment Variables and Secrets
Inject configuration with environment variables and manage sensitive data using Docker secrets and build args securely.
Healthchecks and Resource Limits
Define container health checks and set CPU, memory, and PID limits to prevent resource exhaustion in production.
Multi-Stage Builds
Reduce image size dramatically by using multi-stage builds to separate build dependencies from runtime images.
Docker Security
Harden containers with non-root users, read-only filesystems, capability dropping, and image vulnerability scanning.
Docker Compose
Define and run multi-container applications with docker-compose.yml for development and testing environments.
Phase 8: Kubernetes Fundamentals
Learn container orchestration with Kubernetes to deploy, scale, and manage containerized applications at scale.
Kubernetes Architecture
Understand the control plane components, kubelet, kube-proxy, and how Kubernetes schedules and manages workloads.
Pods
Create and manage pods as the smallest deployable unit, understanding multi-container patterns like sidecars and init containers.
Deployments and ReplicaSets
Use deployments for declarative updates with rolling rollouts, rollbacks, and desired replica management.
Services
Expose applications internally and externally using ClusterIP, NodePort, and LoadBalancer service types.
Namespaces
Organize and isolate workloads with namespaces, setting resource quotas and access controls per namespace.
Labels and Selectors
Apply labels to resources and use selectors to filter, group, and target workloads for services and policies.
ConfigMaps
Externalize configuration from container images using ConfigMaps mounted as files or injected as environment variables.
Secrets
Store sensitive data like passwords and API keys as Kubernetes secrets and inject them securely into pods.
Volumes and Persistent Volumes
Attach storage to pods using emptyDir, hostPath, PersistentVolumes, and PersistentVolumeClaims for stateful workloads.
Jobs and CronJobs
Run batch workloads to completion with Jobs and schedule periodic tasks with CronJobs using Kubernetes-native scheduling.
kubectl Command Line
Master kubectl for creating, inspecting, debugging, and managing Kubernetes resources from the command line.
Resource Requests and Limits
Set CPU and memory requests and limits to ensure proper scheduling and prevent resource contention between pods.
Phase 9: Kubernetes Advanced
Master advanced Kubernetes patterns including networking policies, RBAC, autoscaling, and production operations.
Ingress Controllers
Configure Ingress resources with NGINX or Traefik to route HTTP traffic, terminate TLS, and manage path-based routing.
Gateway API
Adopt the next-generation Gateway API for expressive, role-oriented, and portable Kubernetes networking configuration.
StatefulSets and DaemonSets
Deploy stateful applications with stable network identities and run node-level agents on every or specific cluster nodes.
Network Policies
Control pod-to-pod and namespace-to-namespace traffic with Kubernetes Network Policies for microsegmentation.
Role-Based Access Control
Implement least-privilege access with Roles, ClusterRoles, RoleBindings, and service account management.
Horizontal Pod Autoscaler
Automatically scale pod replicas based on CPU, memory, or custom metrics to handle varying workloads.
Pod Disruption Budgets
Protect application availability during voluntary disruptions like node drains and cluster upgrades with PDBs.
Scheduling, Taints, and Affinity
Control pod placement with node selectors, affinity rules, taints, tolerations, and topology spread constraints.
Kubernetes Troubleshooting
Diagnose pod failures, CrashLoopBackOff, networking issues, and resource starvation using kubectl debugging tools.
Kubernetes Security
Harden clusters with pod security standards, admission controllers, network policies, and image signing.
Operators and CRDs
Extend Kubernetes with Custom Resource Definitions and build operators to automate complex application management.
Service Mesh
Deploy Istio or Linkerd service mesh for mTLS, traffic management, observability, and resilience between microservices.
Phase 10: Helm and Kubernetes Packaging
Package, manage, and deploy Kubernetes applications using Helm charts and templating systems.
Helm Fundamentals
Understand Helm as the Kubernetes package manager and learn to install, upgrade, and rollback releases.
Chart Structure
Create and organize Helm charts with Chart.yaml, templates directory, values.yaml, and helpers template file.
Template Syntax and Functions
Use Go template syntax, Sprig functions, conditionals, and loops to generate dynamic Kubernetes manifests.
Values and Configuration
Design configurable charts with values.yaml, override values via flags, and manage environment-specific configurations.
Releases and Lifecycle
Manage Helm release lifecycle with install, upgrade, rollback, and uninstall operations across environments.
Chart Dependencies
Bundle sub-charts, manage dependencies from Helm repositories, and use umbrella charts for complex deployments.
Secrets Management with Helm
Manage secrets in Helm charts using helm-secrets plugin, SOPS encryption, and external secret managers.
Helm Chart Testing
Validate charts with helm lint, template rendering tests, and chart-testing tool for CI/CD integration.
Helm Plugin Development
Extend Helm functionality with custom plugins for specialized deployment workflows and tool integrations.
Helm Production Deployment
Build production-grade Helm charts with multi-environment support, automated testing, and versioned releases.
Phase 11: Cloud Fundamentals
Understand cloud computing models, services, and architectural principles for building scalable, resilient applications.
Cloud Computing Concepts
Learn the core principles of cloud computing including on-demand self-service, broad network access, and resource pooling.
IaaS, PaaS, and SaaS
Differentiate infrastructure, platform, and software as a service models and when to use each delivery model.
Regions and Availability Zones
Understand how cloud providers distribute infrastructure across geographic regions and isolated availability zones.
High Availability and Scalability
Design systems that maintain uptime through redundancy, failover, and auto-scaling across multiple zones.
Elasticity and Auto-Scaling
Configure automatic scaling of resources based on demand to optimize performance and cost in real time.
Shared Responsibility Model
Understand where cloud provider security responsibilities end and customer responsibilities begin for each service model.
Cloud Networking
Design virtual networks with subnets, route tables, internet gateways, and private connectivity in the cloud.
Identity and Access Management
Implement centralized identity management with IAM policies, roles, and federated authentication in the cloud.
Compute Services
Compare VMs, containers, and serverless compute options to choose the right workload execution model.
Storage Services
Select between block, file, and object storage for different data access patterns and durability requirements.
Database Services
Choose between relational, NoSQL, and in-memory databases for transactional, analytical, and caching workloads.
Cloud Cost Management
Monitor and optimize cloud spending with budgets, reserved instances, spot instances, and right-sizing strategies.
Phase 12: AWS for DevOps
Leverage AWS services to build, deploy, and manage scalable infrastructure and applications for DevOps workflows.
AWS Identity and Access Management
Create users, groups, roles, and policies to control access to AWS resources with least-privilege principles.
Least Privilege and STS
Apply least-privilege access and use AWS Security Token Service for temporary credentials and cross-account access.
EC2 Instances
Launch, configure, and manage virtual servers with instance types, AMIs, key pairs, and user data scripts.
Auto Scaling Groups
Configure Auto Scaling Groups to automatically adjust EC2 capacity based on demand, schedules, or health checks.
Elastic Load Balancing
Distribute traffic across targets with ALB, NLB, and GLB, configuring health checks and routing rules.
S3 Object Storage
Store and retrieve any amount of data with S3 buckets, versioning, lifecycle policies, and cross-region replication.
EBS and EFS Storage
Use EBS for block storage volumes and EFS for shared file systems to support EC2 and containerized workloads.
VPC Networking
Design virtual private clouds with subnets, route tables, NAT gateways, and VPC peering for secure networking.
Security Groups and NACLs
Configure stateful security groups and stateless network ACLs to control inbound and outbound traffic at multiple layers.
RDS Managed Databases
Deploy and manage relational databases with RDS including Multi-AZ deployments, read replicas, and automated backups.
DynamoDB NoSQL Database
Build serverless NoSQL tables with DynamoDB using partition and sort keys, GSIs, and on-demand capacity.
ECR and ECS Containers
Store container images in ECR and deploy them on ECS with Fargate or EC2 launch types for managed container orchestration.
EKS Managed Kubernetes
Run production Kubernetes clusters on AWS EKS with managed control planes, node groups, and IAM integration.
Lambda Serverless Functions
Write and deploy serverless functions with Lambda, handling events from API Gateway, S3, and other AWS services.
SQS, SNS, and EventBridge
Decouple architectures with SQS queues, publish notifications via SNS, and route events with EventBridge rules.
Phase 13: Infrastructure as Code
Automate infrastructure provisioning and management using Terraform and Infrastructure as Code best practices.
IaC Concepts and Benefits
Understand why infrastructure as code enables version control, reproducibility, and auditability for cloud resources.
Terraform CLI
Master terraform init, plan, apply, destroy, and output commands to manage infrastructure lifecycle.
Providers and Data Sources
Configure AWS, Azure, and GCP providers and use data sources to query existing infrastructure information.
Resources and Attributes
Define infrastructure resources, reference attributes, and use count and for_each for dynamic resource creation.
Variables and Outputs
Parameterize configurations with input variables, validate values, and export computed values with outputs.
Reusable Modules
Create modular, reusable Terraform configurations with input variables, outputs, and module composition.
State Management
Understand Terraform state, use remote backends like S3, and implement state locking with DynamoDB.
State Locking
Prevent concurrent state modifications with state locking and resolve lock conflicts safely in team environments.
Workspaces and Import
Manage multiple environments with workspaces and import existing infrastructure into Terraform state for adoption.
Lifecycle Rules
Control resource creation and destruction order with create_before_destroy, prevent_destroy, and ignore_changes.
Secrets in Terraform
Manage sensitive values with terraform.tfvars, environment variables, and external secret managers like Vault.
Terraform Project
Build a complete Terraform project with modules, remote state, CI/CD integration, and multi-environment support.
Phase 14: Configuration Management
Automate server configuration and application deployment using Ansible and configuration management best practices.
Ansible Fundamentals
Understand agentless automation with SSH, execute ad-hoc commands, and learn Ansible's architecture and data flow.
Inventory Management
Define static and dynamic inventories, group hosts, and use inventory plugins to discover cloud infrastructure.
Playbooks
Write YAML playbooks to declaratively configure multiple hosts with tasks, handlers, and idempotent operations.
Variables, Facts, and Handlers
Use variables for configuration, gather system facts for dynamic decisions, and trigger handlers on configuration changes.
Roles and Templates
Organize playbooks into reusable roles and generate configuration files from Jinja2 templates for each host.
Ansible Vault
Encrypt sensitive files, manage passwords, and use vault-encrypted variables to protect secrets in playbooks.
Ansible with AWS
Provision and configure AWS infrastructure using Ansible modules for EC2, S3, RDS, and other cloud services.
Ansible Best Practices
Apply directory structure conventions, caching strategies, and error handling patterns for production Ansible usage.
Ansible Collections
Use and create Ansible collections to bundle roles, modules, and plugins for reusable automation across teams.
Server Provisioning Project
Build an end-to-end server provisioning pipeline with Ansible that installs, configures, and secures application servers.
Phase 15: Observability
Implement comprehensive observability with metrics, monitoring, alerting, and distributed tracing for production systems.
The Three Pillars of Observability
Understand how metrics, logs, and traces work together to provide complete visibility into distributed systems.
Metric Types
Differentiate counters, gauges, histograms, and summaries to choose the right metric type for each use case.
RED and USE Methods
Apply RED for request-driven services and USE for infrastructure to systematically identify performance bottlenecks.
Prometheus Architecture
Deploy Prometheus with pull-based collection, time series storage, and PromQL query engine for metrics monitoring.
Prometheus Exporters
Expose application and system metrics using node_exporter, blackbox_exporter, and custom exporters for scraping.
PromQL Query Language
Write PromQL queries to aggregate, filter, and analyze time series data for dashboards and alerts.
Prometheus Alerting
Define alert rules in Prometheus and route notifications through Alertmanager with deduplication and silencing.
Grafana Dashboards
Build interactive dashboards in Grafana to visualize Prometheus metrics with panels, variables, and templating.
OpenTelemetry Concepts
Learn the vendor-neutral OpenTelemetry standard for collecting traces, metrics, and logs from any application.
OpenTelemetry Instrumentation
Instrument applications with auto-instrumentation and manual spans to generate traces and metrics from code.
Distributed Tracing with Jaeger
Deploy Jaeger to collect, store, and visualize distributed traces for debugging latency across microservices.
Observability Stack Project
Deploy a complete observability stack with Prometheus, Grafana, and Jaeger to monitor a multi-service application.
Phase 16: Logging
Implement centralized logging infrastructure to collect, aggregate, search, and analyze application and system logs.
Application and System Logs
Understand the difference between application logs, system logs, audit logs, and access logs in production systems.
Structured Logging
Output logs as JSON with consistent fields like timestamp, level, message, and context for machine parsing.
Log Levels and Severity
Use log levels from DEBUG to FATAL appropriately and configure dynamic level adjustments for production debugging.
Log Aggregation
Centralize logs from multiple services and servers into a single searchable platform for operational visibility.
ELK and OpenSearch Stacks
Deploy Elasticsearch, Logstash, and Kibana or OpenSearch to index, search, and visualize log data at scale.
Fluent Bit and Loki
Collect and query logs with lightweight Fluent Bit agents and Grafana Loki's label-based indexing approach.
Kibana and Log Dashboards
Create Kibana dashboards, visualizations, and saved searches to explore and monitor log data interactively.
Log Retention and Rotation
Configure log rotation policies, retention periods, and archival strategies to manage storage costs and compliance.
Correlation IDs
Propagate correlation IDs across service boundaries to trace requests end-to-end through distributed systems.
Centralized Logging Project
Build a complete logging pipeline with Fluent Bit, Elasticsearch, and Kibana collecting logs from multiple services.
Phase 17: Reliability and SRE
Apply Site Reliability Engineering principles to build, operate, and maintain highly reliable production systems.
SLIs, SLOs, and SLAs
Define Service Level Indicators, Objectives, and Agreements to set measurable reliability targets for your systems.
Error Budgets
Calculate and manage error budgets to balance reliability improvements with feature velocity in engineering teams.
Incident Management
Establish incident classification, escalation procedures, and communication protocols for effective incident response.
Incident Response
Lead incident response with triage, mitigation, root cause identification, and resolution using structured runbooks.
On-Call Practices
Design sustainable on-call rotations, reduce alert fatigue, and implement escalation policies for 24/7 coverage.
Runbooks and Playbooks
Create actionable runbooks that guide responders through common failure scenarios with step-by-step recovery procedures.
Postmortems and Blameless Reviews
Conduct blameless postmortems that identify systemic causes and generate actionable follow-ups to prevent recurrence.
Disaster Recovery
Plan for disaster recovery with backup strategies, failover procedures, and tested recovery workflows for business continuity.
Backup Strategies
Implement full, incremental, and differential backups with offsite replication and regular restoration testing.
RTO and RPO
Define Recovery Time Objectives and Recovery Point Objectives to set data protection and availability requirements.
Fault Tolerance
Design systems that continue operating despite component failures using redundancy, isolation, and graceful degradation.
Chaos Engineering
Inject controlled failures with Chaos Monkey and Litmus to validate system resilience and uncover hidden weaknesses.
Phase 18: DevSecOps
Integrate security practices into every phase of the DevOps pipeline for continuous security assurance.
Security Fundamentals for DevOps
Learn core security concepts including CIA triad, defense in depth, and attack surface reduction for infrastructure.
HashiCorp Vault for Secrets
Deploy and use HashiCorp Vault to securely store, rotate, and access secrets with dynamic and static credentials.
Container Image Scanning
Scan Docker images for vulnerabilities with Trivy, Snyk, and Grype before pushing to production registries.
Dependency Scanning
Identify vulnerable open-source dependencies using Snyk, Dependabot, and OWASP dependency-check in build pipelines.
Static Application Security Testing
Run SAST tools like SonarQube, Semgrep, and Bandit to find security vulnerabilities in source code before deployment.
Dynamic Application Security Testing
Test running applications with OWASP ZAP and Burp Suite to find runtime vulnerabilities like XSS and injection.
Infrastructure as Code Scanning
Scan Terraform, CloudFormation, and Kubernetes manifests with Checkov and tfsec for misconfigurations.
Kubernetes Security
Enforce pod security standards, network policies, and RBAC to harden Kubernetes clusters against common attack vectors.
Network Security
Implement network segmentation, WAF rules, DDoS protection, and zero-trust networking for infrastructure defense.
Software Bill of Materials
Generate and maintain SBOMs to track all software components, dependencies, and licenses in your applications.
Vulnerability Management
Establish a vulnerability management program with triage, prioritization, remediation SLAs, and tracking dashboards.
Security Gates in CI/CD
Integrate security scanning as automated gates in pipelines that block deployments when critical vulnerabilities are found.
Phase 19: GitOps and Platform Engineering
Implement GitOps workflows and build internal developer platforms for self-service infrastructure and deployments.
GitOps Principles
Learn the four GitOps principles: declarative, versioned, automated, and software agents for continuous reconciliation.
ArgoCD
Deploy ArgoCD to sync Kubernetes manifests from Git repositories with automated deployments and rollback capabilities.
Declarative Infrastructure
Define desired infrastructure state declaratively and let reconciliation controllers ensure actual state matches.
Desired State Management
Model system configuration as desired state in Git and use controllers to continuously drift detection and correction.
Continuous Reconciliation
Understand how GitOps agents continuously compare desired and actual state to automatically correct configuration drift.
Environment Management
Manage development, staging, and production environments using Git branches, overlays, and environment-specific configs.
Internal Developer Platforms
Design and build IDPs that abstract infrastructure complexity and provide developers with self-service capabilities.
Developer Self-Service
Enable developers to provision environments, deploy services, and access resources without manual operations involvement.
Golden Paths
Define opinionated but flexible workflows that guide developers toward best practices for building and deploying services.
Service Templates
Create scaffolding templates that bootstrap new services with pre-configured CI/CD, monitoring, and security best practices.
Phase 20: DevOps Production Projects
Apply all DevOps skills through hands-on production projects that simulate real-world infrastructure and deployment scenarios.
Linux Automation Project
Automate server hardening, user provisioning, and service configuration across multiple Linux servers using Bash.
CI/CD Pipeline Project
Build a complete CI/CD pipeline with build, test, security scanning, and deployment stages using GitHub Actions.
Dockerized Application Project
Containerize a multi-service application with optimized Dockerfiles, Docker Compose, and healthchecks for local development.
AWS Infrastructure Project
Deploy a production-grade AWS infrastructure with VPC, EC2, RDS, S3, and load balancers using best practices.
Terraform Infrastructure Project
Provision a complete cloud environment with Terraform including modules, remote state, and multi-environment support.
Kubernetes Deployment Project
Deploy a microservices application on Kubernetes with deployments, services, ingress, ConfigMaps, and resource limits.
Helm Deployment Project
Package a Kubernetes application as Helm charts with templates, values, dependencies, and automated testing.
Monitoring Stack Project
Deploy Prometheus and Grafana to monitor infrastructure and applications with alerts for critical failure conditions.
Centralized Logging Project
Build a logging pipeline with Fluent Bit, Elasticsearch, and Kibana to aggregate and search logs from multiple services.
GitOps Deployment Project
Implement a GitOps workflow with ArgoCD that automatically deploys Kubernetes applications from Git repository changes.