Free App Service tier - Azure Glossary

Understand the concept

In plain English

Free App Service tier is the F1 App Service plan option for experiments, demos, training, and very small nonproduction web apps running on shared platform capacity. Teams use it to prove a web app idea cheaply before choosing a paid plan with scaling, stronger availability features, custom domain options, and production support. In Azure reviews, it matters when someone must approve access, troubleshoot behavior, estimate cost, or explain why the configuration exists. Treat it as a design choice tied to owners, users, evidence, and rollback.

Why it matters

Free App Service tier matters because it changes how teams design, approve, troubleshoot, and explain an Azure workload. If the concept is misunderstood, teams may grant the wrong access, hide an unhealthy dependency, overbuild capacity, miss audit evidence, or create a user-facing failure that looks like an application bug. It affects security, reliability, operations, cost, and performance because one setting can influence who reaches the workload, how traffic behaves, what gets logged, how much capacity is consumed, and how quickly support can recover. A strong definition helps architects and operators ask the practical questions before the change reaches production. Always tie the review to one subscription, environment, owner, and measurable business outcome.

Technical context

Technically, Free App Service tier is understood through App Service plans, F1 SKU settings, shared workers, web apps, deployment settings, runtime stacks, quotas, custom domain restrictions, diagnostics, and scale-up paths. Important settings include plan SKU, resource group, region, app runtime, deployment source, custom domain needs, always-on requirement, TLS settings, diagnostics, and upgrade path. Operators inspect it with App Service plan show output, SKU name, app list, quota behavior, metrics, deployment logs, diagnostics, and Cost Management records showing no dedicated plan charge.

Exam context

Compare with

Basic App Service tier Shared App Service tier Standard App Service tier

Where it is used

Where you see it

An App Service plan shows SKU F1 or Free, with one or more small web apps attached for learning, demos, or early prototypes during review.
A deployment review flags that custom domains, scaling, always-on behavior, private networking, or production reliability require a paid App Service tier during review for production evidence.
Cost records show no dedicated App Service plan charge, while related storage, monitoring, domains, or downstream services may still create spend during review for production evidence.

Common situations

Run a training app, prototype, or demo site where shared capacity and limited features are acceptable.
Validate code paths and deployment automation before paying for a dedicated App Service plan tier.
Host short-lived proof-of-concept websites that do not need custom domains, scale-out, or production support.
Teach App Service fundamentals while keeping student or lab subscriptions inside a strict zero-cost target.
Identify when an application has outgrown Free limits and should move to Basic, Standard, or another hosting option.

Illustrative Azure scenarios

These examples show how the concept can affect design and operations. They are illustrative scenarios, not customer claims.

Scenario 01 Free App Service tier in action for software startup Scenario, objectives, solution, measured impact, and takeaway.

Scenario

TrailMap Labs, a software startup organization, needed to solve a concrete production challenge: founders needed to demo a small web app to investors before committing to paid hosting or autoscale design. Leaders wanted a practical Azure design that support, security, and business owners could understand.

Goals

Host a prototype cheaply
Avoid production claims
Measure early traffic
Prepare an upgrade path

Approach using Free App Service tier

The team used Free App Service tier as the control point for the change. The team placed the prototype on a Free App Service tier plan and labeled it as nonproduction in tags, documentation, and the landing page. Engineers used CLI checks to confirm the F1 SKU, list attached apps, and monitor basic CPU trends. The architecture note defined triggers for moving to Basic or Standard: custom domain need, sustained traffic, always-on requirements, or customer commitments. No customer secrets were stored in the prototype app. Before release, engineers captured read-only evidence, confirmed owners and access, checked diagnostics or local logs, and documented rollback steps. Operations monitored the first production window with metrics that matched the stated objectives, not just generic resource health.

Potential outcomes

Prototype launched in one day
Hosting plan cost stayed at zero
Upgrade criteria were documented
Investor demo traffic was measured safely

What to learn

The Free App Service tier is useful for learning and demos when teams are honest about its nonproduction limits.

Scenario 02 Free App Service tier in action for workforce training Scenario, objectives, solution, measured impact, and takeaway.

Scenario

Pacific Skills Academy, a workforce training organization, needed to solve a concrete production challenge: instructors needed many temporary student web apps without creating unnecessary compute spend for each class exercise. Leaders wanted a practical Azure design that support, security, and business owners could understand.

Goals

Reduce lab hosting cost
Teach App Service basics
Clean up after classes
Avoid production confusion

Approach using Free App Service tier

The team used Free App Service tier as the control point for the change. Instructors used the Free App Service tier for short-lived training apps and required students to tag resources with class, owner, and expiration date. CLI scripts listed plans and apps at the end of each lab. Students learned how to inspect SKU, deployment logs, and simple metrics before scaling a plan. The lab guide explained why custom domains, always-on behavior, scaling, and reliability requirements belong on paid tiers. Before release, engineers captured read-only evidence, confirmed owners and access, checked diagnostics or local logs, and documented rollback steps. Operations monitored the first production window with metrics that matched the stated objectives, not just generic resource health. The change record linked configuration evidence to measurable outcomes so later audits and incident reviews could reconstruct the decision quickly.

Potential outcomes

Lab compute spend fell 58 percent
Cleanup found stale apps quickly
Students learned SKU tradeoffs
No class app was mistaken for production

What to learn

Free tier plans are effective training tools when cleanup and upgrade rules are part of the lesson.

Scenario 03 Free App Service tier in action for nonprofit services Scenario, objectives, solution, measured impact, and takeaway.

Scenario

GreenBridge Aid, a nonprofit services organization, needed to solve a concrete production challenge: a small volunteer team wanted to test an appointment request form before funding a production web platform. Leaders wanted a practical Azure design that support, security, and business owners could understand.

Goals

Validate form workflow
Minimize early spend
Protect volunteer data
Know when to upgrade

Approach using Free App Service tier

The team used Free App Service tier as the control point for the change. Volunteers deployed the proof-of-concept form to a Free App Service tier plan with no sensitive client records stored in the app. The team used a test database and documented that production launch would require a paid App Service plan, stronger monitoring, authentication review, and custom domain configuration. CLI output confirmed the plan SKU and attached web app. A cleanup owner reviewed activity after the pilot window ended. Before release, engineers captured read-only evidence, confirmed owners and access, checked diagnostics or local logs, and documented rollback steps. Operations monitored the first production window with metrics that matched the stated objectives, not just generic resource health. The change record linked configuration evidence to measurable outcomes so later audits and incident reviews could reconstruct the decision quickly.

Potential outcomes

Pilot cost stayed minimal
Workflow issues were found early
Sensitive data stayed out of the prototype
Board approved a paid production plan

What to learn

The Free App Service tier helps validate ideas, but production readiness still requires a deliberate move to a stronger plan.

Azure CLI

CLI checks make Free App Service tier review repeatable because they capture scoped evidence for configuration, ownership, dependencies, health, and change impact before operators modify production.

Useful for

List or show the Azure or local resources related to Free App Service tier before selecting a target for deeper review.
Capture read-only evidence for Free App Service tier during release approval, incident response, access review, or cost investigation.
Compare configuration, metrics, logs, and dependent resources for Free App Service tier across environments before approving a mutating command.

Before you run a command

Confirm tenant, subscription, resource group, profile, endpoint, project, device, or local model scope before trusting command output.
Run list and show commands first, then save evidence before create, update, purge, restart, delete, scale, or access changes.
Check whether the command affects customer traffic, local user devices, cached content, model behavior, cost, or compliance evidence.

What the output tells you

Names, resource IDs, locations, SKUs, enabled states, and parent relationships show whether you are inspecting the intended target.
Settings, identities, routes, deployments, endpoints, origins, cache paths, or model metadata explain how requests or workloads behave today.
Timestamps, metrics, usage, health state, and logs help separate Azure configuration issues from application, device, or downstream failures.

Mapped commands

Free App Service tier operational checks

direct

az appservice plan list --resource-group <resource-group> --output table

az appservice plandiscoverWeb

az appservice plan show --name <plan-name> --resource-group <resource-group>

az appservice plandiscoverWeb

az webapp list --resource-group <resource-group> --query "[].{name:name,plan:serverFarmId}" --output table

az webappdiscoverWeb

az appservice plan update --name <plan-name> --resource-group <resource-group> --sku B1

az appservice planconfigureWeb

az monitor metrics list --resource <app-service-plan-id> --metric CpuPercentage

az monitor metricsdiscoverWeb

Architecture context

Technically, Free App Service tier is understood through App Service plans, F1 SKU settings, shared workers, web apps, deployment settings, runtime stacks, quotas, custom domain restrictions, diagnostics, and scale-up paths. Important settings include plan SKU, resource group, region, app runtime, deployment source, custom domain needs, always-on requirement, TLS settings, diagnostics, and upgrade path. Operators inspect it with App Service plan show output, SKU name, app list, quota behavior, metrics, deployment logs, diagnostics, and Cost Management records showing no dedicated plan charge.

Security: Security for Free App Service tier starts with authentication, app settings, secret handling, public exposure, TLS, deployment credentials, missing private networking, and the temptation to treat demos as production. Review who can create it, change it, delete it, read diagnostics, approve connected resources, and use any credentials or identities involved. Prefer managed identity and Microsoft Entra ID where supported, keep secrets out of code, and scope roles to the smallest useful boundary. Capture Activity Log entries, role assignments, network settings, policy exemptions, and owner approvals before production changes. The goal is to prove that access, exposure, and data handling were intentional rather than accidental side effects of a quick deployment.
Cost: Cost for Free App Service tier is driven by free plan compute, charged dependencies, domains, certificates, storage, monitoring, outbound traffic, support effort, and paid tier upgrades for production features. The expensive mistake is not only Azure consumption; it can also be duplicate experiments, broad changes, support time, overprovisioned capacity, or emergency cleanup after weak design evidence. Review whether the workload truly needs the selected tier, retention, diagnostics, network path, cache behavior, or automation pattern. Use tags, budgets, alerts, and recurring cleanup reviews so teams can explain why the current design exists and remove stale resources without breaking dependencies. Always tie the review to one subscription, environment, owner, and measurable business outcome.
Reliability: Reliability for Free App Service tier depends on shared capacity limits, no production SLA expectations, app restarts, quota limits, scale restrictions, deployment errors, and unclear owner escalation. A resource can appear healthy while the business workflow fails because a route, dependency, identity, cache, quota, or downstream service is wrong. Test common failure modes, disabled states, retries, rollback paths, and maintenance behavior before relying on the design. Keep runbooks for first-response checks, owner escalation, and safe rollback. During incidents, compare platform metrics, deployment history, configuration changes, and application traces from the same time window before changing production settings. Always tie the review to one subscription, environment, owner, and measurable business outcome.
Performance: Performance for Free App Service tier depends on shared worker contention, limited CPU and memory, cold starts, quota limits, startup time, runtime stack choice, and absence of scale-out capacity. Measure platform-side metrics and application-side completion metrics because a fast control-plane response does not always mean users received the right result. Test with realistic data sizes, regions, concurrency, authentication paths, route choices, cache state, and downstream limits. When performance regresses, compare configuration changes, resource limits, client logs, diagnostic data, and workload timing before adding capacity or blaming one service. The best tuning decisions come from evidence tied to the exact environment.
Operations: Operations for Free App Service tier require clear nonproduction labeling, tags, owner cleanup dates, deployment notes, app settings review, upgrade criteria, monitoring basics, and removal of stale prototypes. Before a change, capture read-only CLI output, portal evidence when useful, owner tags, expected behavior, and a rollback path. During incidents, avoid changing several settings at once; compare metrics, logs, deployment operations, identity evidence, network state, and downstream health first. Keep release notes clear enough for support teams to verify current behavior quickly. Good operational practice turns the term into something observable, reviewable, and recoverable instead of tribal knowledge. Always tie the review to one subscription, environment, owner, and measurable business outcome.

Common mistakes

Treating Free App Service tier as a simple label instead of checking the live scope, owner, dependencies, and current configuration.
Running a mutating command in the wrong subscription, profile, resource group, project, endpoint, origin group, or local device context.
Assuming a successful command means users saw the correct result without checking logs, metrics, application behavior, and rollback evidence.