Introduction to DevOps: Roadmap to DevOps Career

Explore how DevOps unites developers and IT operations to enable rapid, reliable, and continuous software delivery through practices like continuous integration, delivery, deployment, situational awareness, and configuration management.

Learn how continuous integration automates code changes across a shared repository, using automated testing, version control, automated building, and code quality checks to enable rapid, reliable deployment.

Explore continuous delivery and continuous deployment in DevOps, including automatic building, automated testing, staging, and production deployment, with rapid feature releases and rollbacks.

Learn situational awareness in DevOps by continually observing the current state of software and operations. Use monitoring, log analysis, dashboards, and postmortems to prevent downtime and improve reliability.

Define the desired state of software and infrastructure as code, and apply it with automation tools such as Ansible, Puppet, Chef, and Terraform to achieve configuration management across environments.

Explore infrastructure as code (IAC) to automate provisioning and configuration of servers, networks, databases, and applications, using tools like Terraform, Ansible, and Puppet stored in Git.

Microservices in DevOps break a large application into smaller, independent parts that are developed, tested, and deployed separately, leveraging Docker, Kubernetes, Git, and GitHub.

Monitor software and infrastructure continuously to detect issues early and ensure performance; log actions for troubleshooting and auditing, while feedback loops drive user-focused DevOps improvements.

Discover how DevOps collaboration unites development, operations, and other groups through cross-functional teams, clear shared goals, and open communication to deliver high-quality software faster.

Explore the DevOps lifecycle and its infinity loop, detailing discovery and plan, code, build, test, release, deploy, operate, and monitor. Emphasize continuous updates, collaboration, and consistent improvements in software delivery.

Discover and plan the first phase of the DevOps lifecycle by identifying the issue and defining the end goal, then outline research and prioritization.

Explore the code phase of the DevOps lifecycle, including development, code review, unit testing, continuous integration with Jenkins, debugging, and documentation, with emphasis on version control.

Explore the build phase of the DevOps lifecycle, from code compilation and packaging to automated testing and quality assurance, using Kubernetes and Docker for deployable artifacts.

Explore the test phase of the DevOps lifecycle, using automated testing to ensure functionality and quality, and learn unit, integration, functional, performance, and security testing within the CI/CD pipeline.

The release phase delivers a stable, tested software version. It covers deployment, automation, testing, monitoring, and rollback with Docker, Kubernetes, Jenkins, Selenium, Nagios, and Ansible to ensure production readiness.

Automate the deployment phase to move code from development to production, ensuring reliability, scalability, and security through code preparation, infrastructure setup, deployment automation, testing, and rollback in a ci/cd pipeline.

Operate the DevOps lifecycle by monitoring the production environment, incident management, capacity management, performance optimization, and security management to keep software healthy and meeting user expectations.

Explore the DevOps monitor phase of the lifecycle, where logging and observability collect and analyze data on user behavior, performance, and security in the production environment to drive continuous improvement.

Explore more than 20 core DevOps tools across the lifecycle, including Jira, Git, Jenkins, Docker, and Kubernetes, and learn their purpose, usage, demos, and collaboration impact.

Explore ServiceNow, a cloud-based platform that enhances collaboration and automation across the DevOps lifecycle, with incident management and a robust ticketing system at its core.

Explore how Slack and Microsoft Teams enable cross-functional DevOps teams to collaborate in real time through channels, file sharing, and seamless integration with third-party tools.

Explore Jira product discovery and Jira software, Atlassian tools that capture ideas and align roadmaps in the devops lifecycle. They enable collaboration, visibility, and agile planning with Scrum and Kanban.

Confluence is a collaboration and knowledge-sharing platform that lets teams create, share, and manage content in a centralized space for project planning across the DevOps lifecycle.

Explore how programming languages drive the code phase of the DevOps life cycle, from procedural and object-oriented to scripting, functional, markup, and query languages.

Explore how Jenkins automates CI/CD, builds, tests, and deploys code, and supports monitoring and plugins across the DevOps lifecycle.

Learn how git and GitHub enable version control, collaboration, and distributed development through repositories, commits, branching, and staging, with hands-on setup using Visual Studio Code.

Examine GitLab as a complete DevOps platform for code hosting, issue tracking, CI/CD, security, and monitoring, and explore GitHub Copilot, an AI code assistant integrated with IDEs.

Explore Nexus, a repository manager that stores and manages artifacts like libraries and dependencies, enabling organized access for build and release in the DevOps lifecycle.

Explore docker as a containerization tool for isolating and packaging applications, with orchestration via Kubernetes and a brief OpenShift overview. Learn Windows and Linux installation, image pulls, and running containers.

Learn Kubernetes as a container orchestration system that automates deployment, scaling, and management of containers; explore setup with Docker, kubectl, minikube, and cloud options.

Explore how Ansible enables infrastructure as code by automating provisioning, configuration management, and application deployment across Linux, Windows, and cloud environments using agentless SSH and YAML playbooks.

Automate tasks on Unix-like systems with shell scripting, enabling task automation, error handling, and efficient file management in the build and deploy phases of DevOps.

Explore Terraform, an open source infrastructure as code tool using HashiCorp Configuration Language (Hql) to automate, scale, and standardize infrastructure across cloud and on-premise providers.

Explore Selenium's open source web browser automation for testing and web scraping, learn Mabel's AI-driven test automation with auto healing, and review x ray's test management integrated with Jira.

Explore mural, a visual work platform for remote teams, enabling real-time collaboration on virtual whiteboards for brainstorming, planning, design thinking, and prototyping across the DevOps lifecycle.

Discover how Pagerduty serves as a cloud-based incident response and on-call management platform, enabling rapid alerts, escalation, collaboration, and integration with monitoring tools.

Explore Splunk, a data analysis and monitoring platform for machine generated data, enabling real time search and alerting. See how it aids DevOps with visualization, trend tracking, and cloud monitoring.

Explore monitoring tools in devops, focusing on dynatrace for application performance monitoring, infrastructure monitoring, and digital experience management, powered by artificial intelligence and automation, with notes on datadog and prometheus.

Learn Nagios for monitoring and logging, see how it monitors your entire IT infrastructure, delivers real-time alerts, and supports proactive performance monitoring and capacity planning alongside Grafana and New Relic.

Explore the essentials of system administration as a pathway to a DevOps career, covering operating system management, security, networking, backups, automation, and hands-on CentOS installation in VirtualBox.

Transition into DevOps by embracing the culture of collaboration and automation, mastering CI/CD, infrastructure as code, and security, while building skills in scripting, tools, cloud, and open-source projects.

Discover the future of DevOps, including salary expectations and growth prospects. Learn how artificial intelligence and machine learning will augment, not replace, engineers, and explore remote and diverse career opportunities.

Explore DevOps job responsibilities, from building and automating infrastructure to implementing CI/CD pipelines, monitoring, and security. Collaborate across development and operations to automate and streamline the software life cycle.

Engage with DevOps community forums such as Reddit, DevOps chat, Slack, Stack Overflow, and GitHub, follow guidelines, start discussions, network, and stay consistent to grow your DevOps knowledge and resume.

Develop a job-ready devops profile by crafting results-driven resumes and interview stories that showcase docker, kubernetes, ansible, terraform, and cloud skills, along with ci/cd and iac principles.

Discover coaching and career guidance for DevOps through one-on-one sessions, resume help, interview workshops, and diverse training, plus connect via website, Udemy, LinkedIn, and YouTube.