Map Your Azure DevSecOps Journey

Introduction

30 Second Summary

Technical careers can feel like a wall of tool names when nobody explains what comes first. A clear route turns that wall into a sequence you can follow one stage at a time.

In this project, you will create a personal navigation map for the complete Azure DevSecOps journey. The map orders every stage from computer basics to operating a secure automated platform.

What You'll Build

Picture choosing any advanced skill on your map and tracing its foundations all the way back to your starting point.

By the end of this project, you'll have:

• A dependency-ordered roadmap that takes you from Windows and Linux foundations to Azure security and operations.
• A delivery map that traces a change through Git, CI/CD, Terraform, Docker, Kubernetes, security checks, and monitoring.
• A connected project sequence for building SecureOps Incident Tracker, with readiness gates and optional certification checkpoints showing when to move forward.
• Secret Mission: Convert the roadmap into your own dependency graph with visible evidence attached to every readiness gate.

Are there any prerequisites?

No previous technical knowledge is required. You do not need a cloud account or installed software for this roadmap project.

You'll use Microsoft Learn as an authoritative reference throughout the journey.

Before We Start

This checkpoint gives you a clear destination before unfamiliar terms appear. You are mapping the complete Azure DevSecOps journey before your first technical build.

Establish Your Starting Point

A random list of advanced tools can make Azure DevSecOps feel like a wall of unexplained names. This step replaces that confusion with a beginner baseline.

Your baseline begins with ordinary Windows use. The roadmap introduces each account only when it solves a problem you already understand.

In this step, get ready to:

• Record a zero-assumption learning baseline.
• Decode the roadmap legend.
• Adopt safe progression rules.

Record your zero-assumption baseline

A zero-assumption baseline gives every unfamiliar topic a proper teaching point. It also removes any pressure to arrive with hidden knowledge.

What does zero-assumption mean?

Experience with ordinary Windows applications is the only assumed skill. Command-line knowledge starts at zero.

• Cloud computing starts from first principles.
• Azure starts from first principles.
• DevOps starts from first principles.
• DevSecOps starts from first principles.
• Linux starts from first principles.
• Networking starts from first principles.
• Git starts from first principles.
• Code starts from first principles.
• Containers start from first principles.
• Kubernetes starts from first principles.

• Adopt this baseline for every future project.
• Use the glossary whenever an acronym is unfamiliar.
• Create an account only when a project needs it.
• Install a tool only when a project needs it.

Use the roadmap legend

The roadmap legend turns a long curriculum into a route you can follow. Each label tells you how a topic supports your progress.

How to read the labels

• Core: Required for the main Azure DevSecOps path.
• Supporting: Needed to understand a Core topic or troubleshoot it.
• Advanced: Valuable after the main path works.
• Evidence: A visible artifact you can demonstrate.
• Readiness Gate: An observable result that proves you are ready for the next stage.

• Use each label to decide how a topic fits your route.
• Pause at every Readiness Gate until you can show its required result.

Follow the learning loop

A repeatable learning loop turns each future project into a small experiment. You understand a problem before adding the tool designed to solve it.

• Learn the problem through plain-English vocabulary.
• Build a small visible version.
• Observe a limitation or failure.
• Improve the version with the practice designed for that limitation.
• Secure the result.
• Verify the result.
• Document the result.
• Clean up the result.

Why the order matters

Advanced tools combine knowledge from earlier stages. A deliberate order keeps future failures understandable.

That order also protects your budget. Cost controls arrive before any paid cloud resource.

• Learn the purpose of a command before memorizing it.
• Learn cost controls before creating a paid cloud resource.
• Learn deletion before creating a paid cloud resource.
• Study processes before Kubernetes.
• Study ports before Kubernetes.
• Study containers before Kubernetes.
• Study declarative desired state before Kubernetes.

What changes in this step?

This roadmap step creates no cloud accounts. It installs no software.

It creates no billable Azure resources. Your output is a safe learning route.

Before you check the roadmap, picture which subjects you expect to appear before Azure Kubernetes Service (AKS).

• Return to the roadmap sequence from the project overview.
• Locate the first technical stage.

What does the order confirm?

You'll find Windows first. A terminal comes next.

Linux follows. Networking follows.

Git completes the opening stage. AKS appears much later.

Your baseline now protects you from skipping ahead before the basics are solid. Next, you'll map the foundations beneath every later tool.

Learn the Core Foundations

Your starting point now protects you from jumping into advanced tools before their prerequisites make sense. The next layer explains the machinery beneath every future project.

Tools across Azure and DevOps hide operating system, network, and software behavior behind convenient interfaces. This step builds a foundation map that helps you understand what those tools are doing.

In this step, get ready to:

• Map how a Windows computer can support a Linux learning environment.
• Trace how networking, web traffic, and data services return a browser response.
• Connect programming, testing, architecture, and documentation to a running application.

No Setup Required

This is a roadmap exercise. You can build the map on paper or in any note-taking app already available on your Windows device.

No cloud account or software installation is required. This step creates no billable resources.

Map computers and operating systems

Every future tool runs on hardware through an operating system. Understanding that relationship helps you separate a machine problem from an application problem.

How the Computer Layer Fits Together

• Hardware provides the CPU, memory, and storage that software uses.
• An operating system manages files, users, permissions, hardware access, and running work.
• An application runs as a process. A background process that performs an ongoing role is often managed as a service.
• Files can be text or binary. Paths, extensions, hidden files, ownership, permissions, and archives determine how those files are found or controlled.
• A terminal provides the window for command-line work. A shell interprets commands, arguments, flags, input, output, errors, pipes, and redirection.
• Windows uses drives, Windows paths, environment variables, processes, services, and security boundaries.
• Linux uses a different file-system layout. It organizes users, groups, permissions, processes, services, logs, package managers, environment variables, and Secure Shell access.
• Windows Subsystem for Linux can run an Ubuntu Linux environment on Windows without dual booting. This gives later projects a Linux command line on the learner's Windows device.
• Bash and PowerShell support navigation, file operations, text processing, variables, conditions, loops, functions, and scripts.

• Choose paper or a note-taking app already available on your Windows device.
• Write Foundation Map at the top of your page.

You now have a visible home for the curriculum. Each branch you add makes the dependency order easier to follow.

• Add a computer basics branch containing hardware, software, CPU, memory, storage, operating system, application, and process.
• Add a files branch containing paths, extensions, hidden files, text files, binary files, permissions, ownership, and archives.

Your first two branches should show that software depends on hardware. They should also show that applications depend on files plus operating-system resources.

• Add a Windows branch containing drives, Windows paths, processes, services, environment variables, PowerShell, and security boundaries.
• Add a Linux branch containing the file system, home directory, root directory, users, groups, permissions, processes, services, logs, package managers, environment variables, WSL, Ubuntu, and Secure Shell concepts.

Your map now places Windows beside Linux. WSL connects the two environments without replacing your Windows device.

• Add a command-line branch containing terminal, shell, commands, arguments, flags, input, output, errors, pipes, redirection, Bash, and PowerShell.
• Add a troubleshooting branch containing error reading, single-variable isolation, log inspection, issue reproduction, and fix documentation.

Your First Readiness Gate

A readiness gate converts a topic list into observable evidence. This gate proves that you can work with the operating-system layer before adding cloud tools.

• You can navigate Windows and Linux file systems.
• You can explain the difference between a process and a service.
• You can change file permissions safely.
• You can inspect a log.
• You can run a short script.

• Attach the operating-system readiness gate to your computer branch.

Good progress. Your map now explains where programs run plus how you inspect them when something fails.

Trace networking, web traffic, and data

A browser response crosses several layers before you see a page. Networking provides the route while web protocols describe the conversation.

How a Browser Request Travels

A browser starts with a URL. The DNS system resolves its hostname to an IP address.

The browser connects through a port using the TCP/IP model. An HTTPS connection uses TLS to protect traffic.

A server process receives the HTTP request. The application may call an API or query a database before creating the response.

The response follows the network path back to the browser. Each layer creates evidence you can inspect when the request fails.

💡 What Belongs in the Network Branch

• Network models include practical TCP/IP layers plus a high-level view of the OSI model.
• Addressing includes MAC addresses, IPv4 addresses, public addresses, private addresses, localhost, CIDR notation, and subnetting.
• Transport and routing include ports, TCP, UDP, sockets, routes, default gateways, Network Address Translation, and firewalls.
• Naming includes hostnames, domain names, DNS records, and name resolution.
• Web traffic includes clients, servers, URLs, request methods, headers, status codes, cookies, certificates, and TLS.
• Traffic distribution includes reverse proxies, load balancers, health checks, ingress, and egress.
• Connectivity includes virtual networks, subnets, peering, private endpoints, VPN concepts, and public or private exposure.
• Data systems include tables, records, keys, connection strings, migrations, backups, restores, and persistence.
• Data formats include plain text, Markdown, JSON, YAML, and environment configuration.

• Add a network models branch containing TCP/IP, the OSI model, MAC addresses, IPv4 addresses, public addresses, private addresses, localhost, CIDR notation, and subnetting.
• Add a communication branch containing ports, TCP, UDP, sockets, routing, default gateways, Network Address Translation, and firewalls.

Your networking section should now connect an address to a route. It should also show how a port directs traffic toward a particular service.

• Add a naming branch containing hostnames, domain names, DNS records, and name resolution.
• Add a web branch containing clients, servers, URLs, HTTP, HTTPS, methods, headers, status codes, cookies, APIs, certificates, and TLS.

Your map should now connect a human-readable hostname to an IP address. It should then connect that address to protected web traffic.

• Add a traffic distribution branch containing reverse proxies, load balancers, health checks, ingress, and egress.
• Add a connectivity branch containing virtual networks, subnets, peering, private endpoints, VPN concepts, and exposure boundaries.

The map now shows that reaching a server can involve several boundaries. Each boundary can allow, block, or redirect traffic.

• Add a data branch containing databases, tables, records, keys, SQL, NoSQL, connection strings, migrations, backup, restore, and persistence.
• Add a data formats branch containing plain text, Markdown, JSON, YAML, and environment configuration.

Your Network Readiness Gate

This gate proves that you can explain a request without treating the network as a black box. It also gives you a sequence for investigating failures.

• Start with a URL in a browser.
• Resolve the hostname through DNS.
• Connect to the returned IP address through a port.
• Protect HTTPS traffic with TLS.
• Reach a server process through the operating system.
• Pass the HTTP request to the application.
• Include a database when the application needs stored data.
• Return the response to the browser.

• Attach the browser-request readiness gate to your networking branch.

Connect software, testing, and documentation

Delivery tools build and deploy applications. You need enough application literacy to identify what those tools are building plus where failures can occur.

What Delivery Tools See in an Application

• Programming fundamentals include values, variables, types, conditions, loops, functions, errors, modules, dependencies, input, and output.
• Automation begins with Bash and PowerShell. Python later supports small scripts plus sample application logic.
• Application structure includes a frontend, backend, API, database, configuration, dependencies, and runtime.
• API literacy includes endpoints, request methods, payloads, authentication, validation, and error handling.
• Testing includes unit, integration, end-to-end, smoke, regression, performance, and security checks.
• Quality checks include formatting, linting, code review, test coverage, and build validation.
• Architecture includes monoliths, services, stateless components, stateful components, scaling, availability, resilience, and configuration practices.
• Documentation includes README files, architecture diagrams, decision records, setup guides, troubleshooting notes, and runbooks.

• Add a programming branch containing values, variables, types, conditions, loops, functions, errors, modules, dependencies, input, and output.
• Add an automation branch that progresses from Bash and PowerShell to Python awareness.

Your map should now show that automation depends on basic programming ideas. Python sits after command-line scripting because later projects use it for focused automation.

• Add an application structure branch containing frontend, backend, API, database, configuration, dependencies, and runtime.
• Add an API branch containing endpoints, methods, payloads, authentication, validation, and error handling.

Your application branch should now expose the parts hidden behind a browser response. Those parts give delivery tools something concrete to build or deploy.

• Add a testing branch containing unit, integration, end-to-end, smoke, regression, performance, and security testing.
• Add a quality branch containing formatting, linting, code review, test coverage, and build validation.

Your map now separates testing from broader quality checks. Both provide evidence that a change is ready to continue through delivery.

• Add an architecture branch containing monoliths, services, stateless components, stateful components, scaling, availability, resilience, and external configuration.
• Add a documentation branch containing README files, architecture diagrams, decision records, setup guides, troubleshooting notes, and runbooks.

The final branches connect technical behavior to explanations another person can follow. That connection turns completed work into reusable evidence.

Your Application Readiness Gate

This gate proves that you can inspect a small application before trying to automate it. You should be able to name the files or components responsible for each part.

• You can identify the application's entry point.
• You can identify its dependency list.
• You can identify its configuration.
• You can identify its API.
• You can identify its tests.
• You can identify its runtime process.
• You can describe likely failure points.

• Attach the application readiness gate to your software branch.

Before you test the finished map, which layer do you expect the browser to contact first after you enter a URL?

• Test your Foundation Map by narrating one browser request from the URL to the returned response.

What Should Your Trace Show?

• The browser reads the URL.
• DNS resolves the hostname to an IP address.
• The browser connects through the required port.
• TLS protects the connection when HTTPS is used.
• The operating system delivers the request to the listening server process.
• The server passes the HTTP request to the application.
• The application may call an API or query a database.
• The application creates a response.
• The response returns through the network to the browser.

That is the core foundation working as one system. You can now point to the operating system, protocol, port, server process, application, data layer, and response on your map.

Your foundation map is complete. Next, you will use it to place Git, cloud services, and team delivery in a dependency order that makes sense.

Map Azure and Team Delivery

Your foundation map now shows how a browser request travels through a computer, a network, an application, and its data.

The next layer is cloud computing. Azure adds ownership and cost decisions to that foundation.

A manual change can work once while leaving the team unable to trust it. This step makes that weakness visible before you map team delivery.

This remains a paper roadmap. You do not need an Azure account or any billable resources.

In this step, get ready to:

• Map the cloud concepts that shape Azure decisions.
• Match Azure service families to SecureOps Incident Tracker.
• Compare a manual portal change with a traceable team delivery path.

Map cloud responsibility and Azure structure

Cloud services divide responsibility between the provider and the customer. The exact boundary depends on the service model you choose.

How Cloud Responsibility Works

The shared responsibility model separates the platform responsibilities handled by the provider from the configuration, identity, access, and data responsibilities handled by the customer.

• A public cloud provides shared cloud infrastructure operated by a provider.
• A private cloud dedicates its cloud environment to one organization.
• A hybrid cloud connects private infrastructure with public cloud services.
• Infrastructure as a service gives the customer more responsibility for operating systems and applications.
• Platform as a service lets the provider manage more of the underlying runtime.
• Software as a service delivers a finished application managed mainly by the provider.
• Serverless computing runs code without requiring the customer to manage servers directly.

Customer responsibility never disappears. Identity, access, data protection, and safe configuration remain part of every cloud design.

💡 How Consumption Pricing Changes Decisions

Consumption pricing connects cost to the services you use. A resource can keep generating charges until you stop or delete it.

Elasticity changes capacity as demand changes. Budgets, cost alerts, ownership tags, and cleanup rules keep that flexibility controlled.

• Place a sheet of paper in front of you.
• Write Azure and Team Delivery Map at the top.
• Add a Cloud Fundamentals branch beneath the title.
• Add a Responsibility branch showing the provider boundary and the customer boundary.
• Add a Cloud Models branch containing public cloud, private cloud, and hybrid cloud.
• Add a Service Models branch containing infrastructure as a service, platform as a service, software as a service, and serverless computing.
• Add a Cost branch containing consumption pricing, budgets, alerts, ownership, and cleanup.
• Add a Resilience branch containing scalability, availability, fault tolerance, and disaster recovery.

How Azure Is Organized

Azure uses a hierarchy so identity, access, policy, and cost controls can apply at predictable scopes.

• A tenant contains the Microsoft Entra ID directory used for identities and access.
• Management groups organize multiple subscriptions under shared governance.
• Subscriptions provide boundaries for billing, access, and resource organization.
• Resource groups collect related resources so they can be managed together.
• Resources are the individual service instances that run or store something.

• Azure Resource Manager provides the management layer for creating and controlling resources.
• Azure role-based access control determines which actions an identity can perform.
• Azure Policy evaluates resources against organizational rules.
• Resource locks protect important resources from accidental changes or deletion.
• Budgets and cost alerts expose spending before it becomes a surprise.

• Add an Azure Organization branch to your map.
• Draw the hierarchy in this order: tenant, management group, subscription, resource group, resource.
• Place Azure Resource Manager beside the hierarchy as its management layer.
• Attach RBAC, Azure Policy, tags, and resource locks to the scopes they can govern.
• Attach budgets and cost alerts to the subscription level.

Your map should now trace Azure from its identity boundary down to an individual resource. It should also show where governance and cost controls belong.

Match Azure service families to the tracker

A service map connects each part of SecureOps Incident Tracker to a job that Azure must perform. This keeps product names tied to a purpose.

Which Azure Service Families Matter

• Compute runs application processes through virtual machines, web application hosting, functions, or container hosting.
• Storage keeps files, application data, disks, backups, and persistent content.
• Networking connects components through Azure Virtual Network, Network Security Groups, Azure DNS, Azure Private Link, and private endpoints.
• Identity uses Microsoft Entra ID, RBAC, managed identities, and workload identities to control access.
• Azure Key Vault protects secrets, keys, and certificates outside application code.
• Governance uses Azure Policy, resource locks, tags, and least-privilege access to keep environments controlled.
• Azure Container Registry stores container images. Azure Kubernetes Service runs managed Kubernetes workloads later in the journey.
• Azure Monitor collects operational signals. Log Analytics, Application Insights, and Container Insights help investigate those signals.
• Microsoft Defender for Cloud supports cloud security posture and workload protection. Microsoft Sentinel supports security monitoring and response.

• Draw SecureOps Incident Tracker in the center of your map.
• Add a Compute branch labeled Runs the application.
• Add a Storage branch labeled Keeps application data.
• Add a Networking branch labeled Controls communication.
• Add an Identity branch labeled Controls access.
• Add a Key Vault branch labeled Protects secrets and keys.
• Add a Governance branch labeled Enforces rules and cost controls.

Keep Advanced Services Behind Their Prerequisites

The container platform belongs higher on your dependency map. Docker and local Kubernetes come before Azure Kubernetes Service.

Azure networking and identity also come before AKS. This order gives every advanced service a foundation you can explain.

• Add a Container Platform branch containing Azure Container Registry and AKS.
• Add an Observability branch containing Azure Monitor, Log Analytics, Application Insights, alerts, and dashboards.
• Add a Security Operations branch containing Defender for Cloud and Microsoft Sentinel.
• Mark the Container Platform branch as a later stage after Docker and local Kubernetes.
• Explain the purpose of each service branch aloud using one sentence per branch.

You should now be able to point to a service family for application hosting, data, communication, access, secrets, governance, containers, monitoring, and security operations.

Expose the manual delivery gap

Imagine that a teammate changes an Azure resource through the portal. The resource works after the change, so the teammate sends a message saying the deployment is complete.

Before you test this scenario, form a prediction about whether another teammate could reproduce the same result from its evidence.

• Add a Manual Portal Change box to your map.
• Write Resource works beneath the box.
• Check whether the scenario records who reviewed the change.
• Check whether the scenario contains a reusable definition.
• Check whether the scenario contains a test result.
• Check whether the scenario identifies a rollback point.
• Check whether the scenario links the change to an auditable history.

Every evidence check comes up unsupported. The resource works, but the team cannot prove how to review, repeat, test, reverse, or audit the change.

This Gap Is Intentional

A successful portal result proves that one resource worked at one moment. It does not preserve the reviewed configuration required to reproduce that result elsewhere.

This is the manual delivery gap. Team delivery closes it by connecting each change to durable evidence.

💡 Which Delivery Tool Does What

• Git records project history as snapshots. Its working tree, staging area, and repository represent modified, staged, and committed states.
• GitHub hosts repositories for branches, pull requests, reviews, issues, releases, and branch protection.
• GitHub Actions later adds repository-native CI/CD automation for build, test, and deployment workflows.
• Azure DevOps connects planning, source control, testing, delivery, packages, and traceability in one platform.
• Azure Boards tracks work items, backlogs, sprints, and Kanban work.
• Azure Repos hosts Git repositories, branches, pull requests, reviews, and policies.
• Azure Pipelines records build, test, and deployment automation.
• Azure Test Plans supports managed testing workflows.
• Azure Artifacts stores versioned packages and feeds.

• Add a Git node labeled Local version history.
• Add a GitHub node labeled Hosted collaboration.
• Add an Azure DevOps node labeled Integrated delivery platform.
• Copy the five Azure DevOps services from the callout into the Azure DevOps node.

How Traceability Connects the Team

Traceability connects the reason for a change to its implementation and result. A teammate can follow the evidence without relying on memory or chat messages.

A versioned definition also creates a rollback point. The team can identify a known state when a later change fails.

• Add a Work Item node beneath Azure Boards.
• Connect the work item to a branch.
• Connect the branch to a commit.
• Connect the commit to a pull request.
• Connect the pull request to a review.
• Connect the review to pipeline evidence.
• Connect the pipeline evidence to a versioned artifact.
• Connect the versioned artifact to a deployment record.

• Connect the deployment record to monitoring feedback.
• Label the versioned artifact as the rollback reference.
• Mark the work item, commit, review, test result, artifact, deployment record, and monitoring feedback as Evidence.

Before you trace the completed map, predict which delivery path carries enough evidence for another teammate to review or repeat the change.

• Trace the manual path from portal change to working resource.
• Trace the team path from work item to monitored deployment.
• Point to the review, repeatability, test, rollback, and audit evidence on each path.

The manual path stops at a working resource. The team path preserves review, repeatability, test, rollback, and audit evidence across the delivery lifecycle.

Strong work. Your Azure and Team Delivery Map now connects cloud responsibility, Azure organization, service families, collaboration, and delivery evidence.

Next, you will replace the manual path with automation and cloud-native systems that can reproduce reviewed changes consistently.

Map Automated Cloud-Native Delivery

Your Azure and team delivery map exposes the weakness of a manual portal change. A successful click path does not prove that another environment can be reproduced from a reviewed definition.

This step connects an approved Git commit to CI/CD checks in GitHub Actions and Azure Pipelines. It then follows Terraform definitions through Docker into a container image, Azure Container Registry, Kubernetes, and later Azure Kubernetes Service.

In this step, get ready to:

• Map how an approved commit triggers automated checks and produces versioned artifacts.
• Connect Terraform planning to reviewed infrastructure changes and repeatable environments.
• Place Docker images and local Kubernetes before AKS in the delivery chain.

Map the CI/CD path

CI/CD converts a reviewed change into a repeatable sequence of checks. GitHub Actions teaches repository-native workflows first. Azure Pipelines later adds Azure DevOps environments and delivery traceability.

• Create a new roadmap page titled Automated Delivery Toolchain Map.
• Place Approved Git Commit at the far left as the entry point.

Your new map now begins with a reviewed change that has a trustworthy history.

• Draw an arrow from Approved Git Commit to GitHub Actions.
• Attach commit, pull request, schedule, and manual approval triggers to the arrow.

You can now see what starts the automated path. Each trigger represents a deliberate reason for the pipeline to run.

• Add Workflow, Jobs, Runners, and Steps inside the GitHub Actions box.
• Connect Build, Lint, Test, and Scan checks beneath the workflow.

How Do the Pipeline Boxes Fit Together?

• A workflow defines the complete automated process.
• Jobs divide that process into units of work.
• Runners provide the machines that execute each job.
• Steps perform individual actions such as linting or testing.

A failed quality or security check stops the change before it reaches an environment. The failure becomes reviewable delivery evidence.

• Place Azure Pipelines beside GitHub Actions as the next platform to learn.
• Connect both platform boxes to the same Build, Lint, Test, and Scan checks.

The parallel boxes show that both platforms can automate the delivery lifecycle. GitHub Actions comes first for workflow fundamentals.

• Draw an arrow from the successful checks to a Versioned Artifact box.
• Place an Approval Gate after the Versioned Artifact box.
• Add Development, Test, Staging, and Production as ordered environments.
• Add promotion and rollback paths between the environments.

Your pipeline lane should now show where automation starts and where checks can block it. It should also show what gets promoted after approval.

• Add a readiness gate requiring you to explain the trigger, execution location, checks, output, approval, and destination environment.

Connect Terraform to repeatable infrastructure

Infrastructure as code expresses an environment as versioned desired state. Idempotence means applying the same correct definition again preserves the intended result.

Terraform separates writing a definition from reviewing its plan. Apply follows only after the proposed changes make sense.

• Connect the approved artifact to a Terraform box.
• Label the Terraform workflow Write, Plan, and Apply.

The map now places review between a written definition and a changed environment. That gap is where a team catches unexpected creation, modification, or deletion.

• Add Providers, Resources, Data Sources, Variables, Local Values, and Outputs beneath Write.
• Place an Approval Gate between Plan and Apply.

What Does Each Terraform Stage Prove?

• Write records the desired infrastructure in declarative configuration.
• Plan previews the difference between the definition and the known environment.
• Approval confirms that a person or policy accepts the proposed change.
• Apply moves the environment toward the approved definition.

• Add a Terraform State box beside the Plan and Apply stages.
• Draw a Drift arrow between the recorded state and the real environment.

State gives Terraform a record for comparing configuration with infrastructure. Drift marks a real environment that no longer matches its reviewed definition.

Why Does State Need Its Own Box?

Terraform state connects configuration to real resources. Plans depend on that record to calculate proposed changes.

State can contain sensitive infrastructure information. Later projects protect it with controlled access and remote locking.

• Add Reusable Modules beneath the Terraform workflow.
• Add Safe Destruction after Apply as a controlled cleanup path.
• Add a readiness gate requiring you to read a plan and predict every proposed change.

Place containers and Kubernetes in order

A Dockerfile describes how Docker assembles an application into an image. Layers make up the image while tags and digests identify versions.

Kubernetes declares how that image should run as a workload. Minikube provides the local learning stage before AKS introduces Azure networking and identity.

• Draw an arrow from the approved Terraform stage to a Docker Build box.
• Place Dockerfile before Docker Build as the image recipe.

Your image lane now begins with a reviewed recipe. The build turns that recipe into a portable application package.

• Add Layers, Tag, and Digest beneath the Container Image box.
• Add Non-Root User, Minimal Contents, Dependency Patching, and Image Scan as security checks.

What Does the Image Lane Record?

• Layers record the filesystem changes that make up an image.
• A tag provides a readable version reference.
• A digest identifies exact image content.
• Security checks reduce privileges and detect vulnerable contents before deployment.

• Draw an arrow from the scanned image to Azure Container Registry.
• Label Azure Container Registry as the managed registry for stored images.

The image now has a controlled destination between build and deployment. That registry handoff preserves the exact package that later environments run.

• Draw an arrow from Azure Container Registry to a Local Minikube Cluster box.
• Add Namespace, Deployment, ReplicaSet, and Pod as the workload row.

Your local cluster lane now shows how Kubernetes turns desired replica counts into running pods.

• Add Service, Ingress, service discovery, and network policies as the traffic row.
• Add ConfigMaps, Secrets, service accounts, and RBAC as the configuration and access row.

The traffic row explains how requests reach workloads. The access row shows how configuration and permissions remain separate from the image.

• Add Resource Requests, Resource Limits, Liveness Probes, Readiness Probes, and Startup Probes as the health row.
• Add Persistent Storage, Scaling, Rolling Updates, and Rollbacks as the operations row.
• Add a kubectl inspection checkpoint for workloads, events, and logs.

Why Does AKS Come Later?

AKS manages the Kubernetes control plane. You still need to understand workloads, node pools, networking, identity, storage, scaling, and security controls.

Local Kubernetes isolates those core ideas before Azure adds cloud architecture. This order keeps managed convenience from hiding essential prerequisites.

• Draw a prerequisite arrow from Azure Networking to AKS.
• Draw a prerequisite arrow from Azure Identity to AKS.

AKS now has the Azure foundations required to control connectivity and access.

• Draw a prerequisite arrow from Docker to AKS.
• Draw a prerequisite arrow from the Local Kubernetes Readiness Gate to AKS.
• Connect Azure Container Registry to the later AKS deployment.
• Add a readiness gate requiring you to build and inspect an image before deploying it to local Kubernetes.

Before you trace the completed chain, consider which gate you expect to stop an unsafe change first.

• Trace one approved commit through CI/CD triggers, linting, tests, scanning, an artifact, approvals, Terraform Plan, Terraform Apply, Docker Build, Azure Container Registry, local Minikube, and a visible application result.
• Point to the kubectl checkpoint that confirms the Kubernetes workload is running.

You should see one continuous delivery chain with reviewable gates before every major change. AKS should appear only after Azure networking, Azure identity, Docker, and local Kubernetes readiness.

Strong work. Your roadmap now shows how a reviewed commit becomes repeatable infrastructure and a running cloud-native workload.

Next, you will surround this delivery chain with security controls and operational evidence.

Add Security, Operations, and Career Evidence

Your automated delivery map now follows an approved commit through tests, infrastructure, container images, and Kubernetes. That speed can carry an insecure or broken change into every environment just as quickly.

This step adds the cross-cutting DevSecOps controls that keep delivery safe and recoverable. You will connect security, operations, cost ownership, and career evidence to every stage.

This remains a roadmap exercise. You need no cloud account or software installation.

In this step, get ready to:

• Map preventive controls, detection signals, and response actions across the delivery lifecycle.
• Connect observability, reliability, incident response, governance, and cost control.
• Attach portfolio evidence and optional certification checkpoints to the readiness gates.

Map security across delivery

DevSecOps treats security as work that surrounds the full delivery lifecycle. Each stage needs a control that reduces risk, a signal that reveals trouble, and an action that restores a trusted state.

Start with the security lens

The security foundation starts with confidentiality, integrity, and availability. Risk connects a threat or vulnerability to its possible impact.

Threat modeling identifies assets, trust boundaries, entry points, abuse cases, and mitigations. It helps you place controls where failures could cause harm.

Defense in depth, least privilege, Zero Trust, shared responsibility, and encryption shape preventive decisions. Together, they reduce the damage that one failed control can cause.

• Return to the Automated Delivery Toolchain Map from the previous step.
• Create a cross-cutting map named DevSecOps Operations and Career Map beside it.
• Add rows for source, pipeline, infrastructure, image, cluster, application, and runtime.
• Add columns named Prevent, Detect, and Respond.

Protect identities and secrets

Microsoft Entra ID provides identities for people, devices, applications, and resources. Service principals, managed identities, and workload identities give automated systems their own identity.

Azure RBAC limits each identity to the permissions it needs. Azure Key Vault keeps secrets, keys, certificates, and connection information outside application code.

OpenID Connect with Microsoft Entra Workload Identity Federation supports short-lived access for delivery workflows. Secret rotation limits the useful lifetime of exposed credentials.

💡 Security control map

• Source uses branch protection and peer review for prevention. SAST, SCA, dependency review, and secret scanning provide detection. Remediation notes plus a corrected pull request provide the response.
• Pipeline uses protected environments, approvals, and least-privilege identities for prevention. Failed security checks plus audit logs provide detection. A blocked release followed by a corrected workflow provides the response.
• Infrastructure uses reviewed infrastructure as code, Azure RBAC, and Azure Policy for prevention. Plan review, infrastructure scanning, drift checks, and Microsoft Defender for Cloud provide detection. A corrected definition followed by drift remediation provides the response.
• Images use trusted registries, minimal contents, and non-root execution for prevention. Image scanning plus a software bill of materials provide detection evidence. Patched dependencies followed by a rebuilt image provide the response.
• Clusters use workload identities, Kubernetes RBAC, network policies, and resource controls for prevention. Manifest scans, events, logs, and runtime findings provide detection. Isolation followed by rollback or redeployment provides the response.
• Applications use authentication, authorization, input validation, and managed secrets for prevention. DAST, application telemetry, and alerts provide detection. A patched application followed by verification provides the response.
• Runtime uses health checks, resource limits, backups, and tested recovery for prevention. Logs, metrics, traces, alerts, and Microsoft Sentinel awareness support detection. A runbook followed by incident recovery provides the response.

• Transfer the seven reference rows into your DevSecOps Operations and Career Map.
• Add an Identity and Secrets lane covering human identities, workload identities, Azure RBAC, Key Vault, rotation, and short-lived credentials.
• Add a Software Supply Chain lane covering scanning, provenance, trusted registries, patching, and artifact integrity.

Add operations and cost lanes

A secure system still needs evidence of what it is doing. Observability turns telemetry into information that helps teams detect failures and choose a response.

Turn telemetry into action

Azure Monitor collects and analyzes signals across cloud and hybrid environments. Log Analytics stores logs plus traces for investigation.

Application Insights tracks application performance. Container Insights adds visibility for containerized workloads.

Logs, metrics, traces, and events answer different operational questions. Dashboards make trends visible while alerts and action groups turn important changes into owned work.

Latency, traffic, errors, and saturation are the golden signals. They show whether users can reach the service and whether the system has enough capacity.

• Add an Observability lane covering logs, metrics, traces, events, correlation, queries, retention, and dashboards.
• Connect Azure Monitor, Log Analytics, Application Insights, Container Insights, alerts, and action groups to that lane.
• Add a Reliability lane covering health checks, retries, timeouts, scaling, redundancy, and graceful degradation.
• Add an Operations lane covering backups, restore tests, maintenance, runbooks, escalation, incident response, and post-incident reviews.
• Add a Cost and Governance lane covering estimates, budgets, alerts, tags, ownership, rightsizing, retention, cleanup, policy, locks, and audit trails.

Connect reliability to recovery

A service-level indicator measures service behavior. A service-level objective sets the target for that measurement.

An error budget shows how much unreliability the service can tolerate before delivery must slow down. Recovery point objectives and recovery time objectives make backup and restoration expectations measurable.

FinOps connects engineering decisions to cost, value, and ownership. Budgets, tags, cleanup, and scaling limits keep that responsibility visible.

• Choose a simulated SecureOps Incident Tracker failure such as a slow response, failed deployment, or unavailable database.
• Trace its evidence from the user symptom through logs, metrics, alerts, and the responsible component.
• Record the response path through triage, mitigation, recovery, communication, and review.

Your incident path should now connect a visible symptom to evidence, ownership, recovery, and a documented improvement.

Connect evidence and certification checkpoints

A roadmap becomes career evidence when every readiness gate produces something another person can inspect. Repositories, reviews, pipeline results, security findings, dashboards, and incident records show how you work.

Check the complete toolchain

• The local foundation includes Windows, Windows Subsystem for Linux, Ubuntu, Bash, PowerShell, Visual Studio Code, Python, Git, Markdown, JSON, and YAML.
• Collaboration includes GitHub, Azure DevOps, Azure Boards, Azure Repos, GitHub Actions, Azure Pipelines, Azure Test Plans, and Azure Artifacts.
• Azure administration includes the Azure portal, Azure Cloud Shell, Azure CLI, Azure PowerShell, Azure Resource Manager, and Microsoft Entra ID.
• Infrastructure automation uses Terraform as the primary tool. Bicep literacy supports Azure-native deployment knowledge.
• Container delivery includes Docker, Docker Desktop, Docker Hub, and Azure Container Registry.
• Orchestration includes Kubernetes, Minikube, kubectl, Helm awareness, and Azure Kubernetes Service.
• Security includes Azure Key Vault, Azure Policy, GitHub Advanced Security, Microsoft Defender for Cloud, Microsoft Sentinel, and ZAP.
• Operations includes Azure Monitor, Log Analytics, Application Insights, Container Insights, alerts, dashboards, Prometheus concepts, budgets, tags, and cleanup.

💡 Preserve evidence from every gate

• Foundation evidence includes a clear README, an architecture diagram, setup guidance, and troubleshooting notes.
• Collaboration evidence includes focused commits, branches, pull requests, reviews, and linked work items.
• Delivery evidence includes successful pipeline runs, deliberately failed checks, approvals, artifacts, and deployment records.
• Infrastructure evidence includes reviewed Terraform plans, applied changes, drift findings, and remediation records.
• Cloud-native evidence includes image builds, image-security findings, Kubernetes manifests, health checks, and rollback results.
• Operational evidence includes dashboards, alerts, runbooks, incident timelines, post-incident reviews, cost estimates, budgets, and cleanup records.

• Add a Career Evidence lane to your DevSecOps Operations and Career Map.
• Attach one observable artifact to every readiness gate.
• Compare the Foundation Map, Azure and Team Delivery Map, Automated Delivery Toolchain Map, and DevSecOps Operations and Career Map against the complete toolchain.

Place certifications after practice

• Place AZ-900 after cloud concepts plus Azure architecture, services, management, and governance.
• Place SC-900 after introductory security, compliance, identity, Microsoft Entra, and Microsoft security solutions.
• Place AZ-104 after hands-on identity, governance, storage, compute, virtual networking, and monitoring.
• Place AZ-400 after substantial practice with GitHub plus Azure DevOps. The expert certification route also requires the Azure Administrator Associate or Azure Developer Associate certification.

These checkpoints validate structured knowledge. Your project evidence demonstrates that you can build, secure, automate, observe, and troubleshoot a working system.

• Add the four optional certification checkpoints to the matching readiness gates.

✔️ My map is complete

Your security, operations, and career lanes now connect to the delivery chain from source through runtime.

ⓧ I'd like to double check the full map

Your completed DevSecOps Operations and Career Map should contain these connected areas.

• Security foundations, threat modeling, Microsoft Entra ID, Azure RBAC, managed identities, workload identities, Key Vault, and secret rotation.
• Branch protection, SAST, DAST, SCA, secret scanning, infrastructure scanning, image scanning, manifest scanning, software bills of materials, provenance, Azure Policy, Defender for Cloud, and Sentinel awareness.
• Azure Monitor, Log Analytics, Application Insights, Container Insights, logs, metrics, traces, dashboards, alerts, and runbooks.
• Incident response, service-level objectives, backups, recovery, cost estimates, budgets, tags, cleanup, governance, and FinOps.
• Repositories, pull requests, pipeline runs, Terraform plans, security findings, Kubernetes evidence, dashboards, alerts, runbooks, incident records, and cleanup records.
• Optional AZ-900, SC-900, AZ-104, and AZ-400 milestones.

Before you trace the finished map, do you expect every lifecycle stage to have a complete Prevent, Detect, and Respond trio?

• Trace one path from source to runtime across your completed map.
• Identify one preventive control at every stage.
• Identify one detection signal at every stage.
• Identify one response action at every stage.

You should be able to cover source, pipeline, infrastructure, image, cluster, application, and runtime. Every stage should lead from prevention to evidence to an owned response.

That completes the roadmap: you can now explain how delivery stays secure, observable, recoverable, affordable, and supported by career evidence.

Secret mission

Build Your Personal Dependency Graph

Your general roadmap shows the terrain. Turn it into a personal graph where every advanced topic depends on completed foundations. Give every readiness gate evidence you can show.

Clean Up Your Resources

Clean Up Your Resources

This roadmap project created no cloud accounts or billable Azure resources. It installed no software on your Windows device, so there are no ongoing costs or required cleanup actions.

Resources you used:

• No cloud accounts, installed software, running processes, local files, or billable resources require cleanup.

Keep everything running

No action needed. Choose this if you want to keep using the roadmap as your guide for later technical projects.

• Keep your Personal Dependency Graph as the navigation map for your journey.
• Return to each readiness gate before starting its advanced topic.
• Use the attached evidence requirement to confirm that you are ready to progress.

Pause - I'll come back to this later

Step away while keeping every map available for your return. Closing the project leaves no process or paid service running.

• Keep your Personal Dependency Graph as your restart point.
• Resume from the first readiness gate that still needs project evidence.

Delete - I don't want to use this again

This project created nothing that requires deletion. Choose this option if you are finished with the roadmap.

• Close the roadmap when you are finished.
• Leave your Windows device unchanged because the project installed no software.
• Leave your cloud accounts unchanged because the project created no accounts or resources.

Nice Work!

Nice Work!

You did it! Your zero-to-job-ready Azure DevSecOps roadmap now connects beginner foundations to a secure automated platform.

What you accomplished:

• Built a foundation curriculum that progresses from computer basics to application troubleshooting.
• Mapped an approved change across the automated delivery chain from Git to Azure Kubernetes Service.
• Mapped cross-cutting DevSecOps controls across every delivery stage. Connected each readiness gate to career evidence.
• Completed the optional Secret Mission by converting the curriculum into a personal dependency graph with visible evidence at every readiness gate.

Ready to quiz yourself?