DevOps Foundation : Fundamentals to start a DevOps career

Explore the real purpose of DevOps by examining time to market and cost of delay, tracing its roots from waterfall, agile, and lean to culture and myths surrounding DevOps.

Define the cost of delay and analyze its impact on time to market, missed market windows, penalties, and the monetary value of postponed benefits in DevOps projects.

Trace the origins of DevOps and how IT management shifted from focusing on IT systems to delivering IT services through evolving best practices and standards.

Agile emphasizes closer customer and developer interaction, small batch sizes, and 2 to 4 week sprints delivering viable products with fast feedback, but IT operations can limit rapid deployment benefits.

Learn lean software development and its Toyota-inspired origins in lean manufacturing. Apply Kaizen, PDCA, and Just-in-time concepts to eliminate seven types of waste and improve value in DevOps.

Learn infrastructure as code to manage networks, virtual machines, storage, and load balancers using descriptive models like JSON templates, enabling repeatable environments across test, dev, and production.

Explore how virtualization converts hardware into software, reducing costs, accelerating deployments, and enabling infrastructure as code for DevOps and cloud readiness.

Trace DevOps origins from agile and lean development to infrastructure as code, virtualization, and cloud computing. Observe how these roots form a culture and agile process across the value chain.

Discover the benefits of DevOps, including faster time to market, reduced technical debt, and eliminated fragility for robust, low-bug software with high availability.

Debunk DevOps myths and explain how DevOps extends Agile to the entire organization, emphasizing culture, mindset, and goals to reduce technical debt and fragility beyond tooling.

Explore the origins and business need for DevOps, define DevOps and its benefits, and examine principles, values, practices, tools, and applicability, with a waterfall comparison for exams and interviews.

Learn how continuous delivery uses continuous integration to build a binary and run code and runtime checks, then progress through integration, system tests to enable production deployment via a pipeline.

Define done in DevOps as delivering value to the customer when the value stream reaches production, not when individuals finish their tasks; emphasize end-to-end value, collective responsibility, and automated deployment.

Clarify the definition of done in DevOps, focusing on delivering user value, secure, encrypted data, and complete acceptance criteria before production release, demonstrated with a fund transfer feature.

Emphasizes five DevOps principles—Value Stream, Deployment Pipeline, Full-Version Control System, Automated Configuration Management, and the definition of DUN—and shows that adoption is essential for meaningful DevOps outcomes.

Limit work in progress to improve DevOps workflow and team productivity. Set WIP limits on each Kanban stage to reduce backlog, improve flow, quality, and agility.

Adopt a startup mindset in DevOps to accelerate delivery through agility, rapid iteration, and customer value. Foster collaboration, empower teams, and embrace feedback-driven, incremental releases to continuously improve software.

Explore how architecture thinking shapes DevOps decisions, with real stories on loose coupling, blue/green deployments, immutable infrastructure, and zero downtime deployments.

Use the strangler fig pattern to replace a monolith incrementally with loosely coupled services, via a router or api gateway, delivering value from month one.

Master resiliency patterns—circuit breakers, bulkheads, and retries—to prevent cascading failures, isolate resources, and stabilize systems with exponential back-off and jitter during slow dependencies.

Apply the 12-factor app principles for cloud-native, scalable software: one code base, explicit dependencies, environment configuration, stateless processes, and repeatable build–release–run deployments.

Explore how DevOps differs from traditional software development and adopt the essential DevOps mindset as a cultural shift across the organization, embracing collaboration and a customer-centric approach.

Identify your constraint skill that bottlenecks your career, then apply a four-step plan to close it: name, prove, bridge, and deadline, guided by an honest audit heat map.

Explore how DevOps philosophy drives fast, automated software delivery, and how Site Reliability Engineering maintains performance with telemetry and error budgets to protect the user experience.

Explore the ai infrastructure engineer, mastering compute clustering and orchestration, inference optimization, and retrieval augmented generation with vector databases to deploy scalable, reliable ai systems.

Explore the limitations of DevOps, including dependence on internal development, staff versus contractors, culture change, and the shift from monolithic to microservices architectures.

Understand cargo culting in DevOps, where teams imitate Kubernetes or the Spotify model without grasping underlying principles, and learn to apply tools only when they solve your problems.

Embrace culture change and Kaizen by merging dev and ops into small DevOps teams, automating environments, and open monitoring for shared responsibility across production.

Adopt DevSecOps to weave security into the delivery pipeline and shift-left testing from production today. Leverage security as code with SAST, SCA, and DAST in ci/cd pipelines for secure velocity.

Discover DataOps and MLOps, data as code, and automated governance that power continuous training, bias checks, and secure, high-stakes AI in banking and aviation.