Garden CLI localization means translating development guides, help explanations, team runbooks, workflow status and troubleshooting notes for Garden projects without rewriting executable commands or changing the meaning of build, deploy, test and run actions. This guide explains the action graph, local-to-remote development, environment selection, workflow execution, output review, secrets and multilingual quality assurance for software teams anywhere in the world.
People searching for how to translate Garden CLI commands, garden deploy, garden test, garden dev, environment flags or Garden workflow documentation usually need two answers at once: what the command actually causes, and which parts of the surrounding text may safely be localized. The dangerous mistakes are familiar. A translated ‘run a test’ can sound like ‘deploy a service’; an environment switch can be mistaken for changing the language; a cached build can be described as newly completed.
Garden supports workflows across development and continuous integration through a project configuration and defined actions, but command names and options can vary with installed releases. Use the authoritative documentation for the version in use, and verify the team’s actual action names before publishing a localized example. The purpose of this long-form educational guide is to help technical writers and engineers communicate useful distinctions, rather than to pretend that translating a terminal changes the software itself.
Short checklist before using a translated Garden guide
- Record the Garden version, project definition and the command source.
- Identify the selected environment and the actions the command may affect.
- Preserve action names, YAML keys, flags, paths and template expressions exactly.
- Separate Build, Deploy, Test and Run from their outcomes and dependencies.
- Keep logs, secrets, errors and timestamps traceable while protecting sensitive data.
- Review Unicode and right-to-left display alongside a safe command-copy test.
From a project configuration to a reliable multilingual workflow
1. Understand the project boundary
A Garden project connects configuration, plugins and actions that work together in a dependency graph. The project is not merely the current working directory. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A developer opens a monorepo with several services and asks which Garden configuration defines the active project. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: A translation that equates project with one application service may exclude dependencies. A safer check is to identify the project configuration file and its location before making claims about scope. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
2. Build is an action with an output
Build actions produce or prepare artifacts needed by other actions; the result is not proof that any user-facing service has been deployed. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A container image is successfully built while its Kubernetes deployment is still waiting for approval. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: The expression ‘your application is live’ is false after a build-only operation. A safer check is to report the build result and artifact identity separately from deployment status. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
3. Deploy changes an environment
Deploy actions work toward running or updating configured services in the selected environment; an instruction may have material external effects. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. A writer documents a staging deploy for a team that also has production credentials. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: Translating deploy as preview or compile understates the operational impact. A safer check is to name the target environment and required permission before each deployment instruction. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
4. Test has its own lifecycle
Test actions check expected behavior and may require build and deploy dependencies. A test run may change temporary resources or data. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. An integration test provisions a database fixture before checking an API response. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: A phrase saying tests are read-only can mislead operators who manage shared data. A safer check is to identify fixture effects and whether tests run against isolated infrastructure. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
5. Run differs from Test
Run actions execute tasks such as migrations or one-off jobs, while Test actions express a verification intent. Side effects depend on the defined action. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A run action updates a dataset and is placed near a harmless-looking test in a README. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: A translator calls both ‘test’ and an operator repeats a destructive task. A safer check is to preserve the action type and describe the task’s effects with a plain-language warning. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
6. The action graph and dependencies
Garden can calculate the sequence of Build, Deploy, Run and Test actions from dependencies and selected operations. A graph is about relationships, not a fixed script order. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. An integration test requires a backend deploy, which in turn requires an image build. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: Translating dependencies as optional suggestions can hide why extra actions execute. A safer check is to describe direct prerequisites and the actual graph before showing a narrow command. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
7. Action names are identifiers
Names used to select actions belong to project configuration and must match the command interface exactly. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. Documentation instructs an engineer to test api-integration after reading a translated service description. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: Renaming the identifier into another language causes the CLI to reject the selection. A safer check is to keep technical names literal and add a reader-friendly translation beside them. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
8. Select an environment explicitly
Garden environment settings choose configuration and resources; an environment is not the user’s preferred language or terminal locale. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A team maintains local, preview, staging and production settings with different credentials. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: A localized guide that omits the environment can send an action to the default target. A safer check is to show the intended environment, explain defaults and require a target check. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
9. Namespace handling
An environment may specify a Kubernetes namespace or receive one from configuration. Namespaces partition resources, not prose sections. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A preview environment uses an isolated namespace for each pull request. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: Translating the namespace token as a phrase could direct commands to a nonexistent target. A safer check is to preserve literal namespace values and clarify which team owns the target. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
10. Build cache is not a new build
Cache hits can avoid repeated work; descriptions should separate a reused artifact from a freshly executed build step. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A developer runs a pipeline that finishes quickly because its inputs already match a cached result. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: Saying ‘rebuilt from scratch’ invents work that did not occur. A safer check is to read action status and trace information rather than inferring work from command completion. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
11. Dependency changes can trigger work
Changes to inputs or dependencies may require downstream actions to be rerun. A user needs to understand why more than one task appears. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. A small configuration edit affects a shared library and several services. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: Describing the extra work as an error could cause an inappropriate manual cancellation. A safer check is to explain the graph edge and expected affected actions in the release note. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
12. Development mode and feedback
Garden dev offers an interactive development workflow; its commands are scoped to the active project and configured environment. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A developer starts an interactive session and sees ongoing logs while editing code. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: The word ‘dev’ is mistaken for a deployment approval stage or a source folder. A safer check is to distinguish the interactive mode from a one-time deployment and document how it ends. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
13. Live synchronization and watch
Some Garden workflows support watching or synchronization for faster feedback; capabilities depend on project configuration and plugin. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A local file change is reflected in a development container without rebuilding everything. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: Promising production hot reload because development sync works is unsafe. A safer check is to state the prerequisites and limitations for the actual project and plugin. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
14. Logs and contextual debugging
Logs expose output from selected Deploy actions and provide evidence of current or recent behavior, not an authoritative summary of all system health. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A tester sees a service log after a failed API call and pastes it into a support discussion. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: A translated log headline may hide timestamps, stack traces or sensitive values. A safer check is to keep stack traces and identifiers intact, redact secrets and explain which workload produced the output. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
15. Structured output
Machine-readable JSON or YAML output from CLI commands is data intended for parsing. Translate the surrounding interpretation rather than changing the keys. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. A CI job reads garden output in JSON and posts selected fields to a dashboard. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: Replacing a key with its localized equivalent breaks the parser. A safer check is to preserve schemas, key casing and string values unless expressly defined as user-facing copy. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
16. Command options
Flags including environment, log level and output format are literal syntax defined by the installed CLI version. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A writer prepares a beginner guide with garden –help as a fallback reference. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: Curly quotes or translated flag names produce commands that cannot run. A safer check is to copy from installed help, avoid typographic substitution and test a safe sample. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
17. Workflows combine steps
Garden workflows can coordinate multiple named steps and dependencies; a workflow’s success may depend on more than its last command. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A team writes a release workflow that builds, tests and deploys in sequence. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: Calling a workflow a single action removes important review points and ownership boundaries. A safer check is to document each stage, its stop condition and which evidence proves completion. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
18. CI pipelines and local execution
The same Garden project can be used by local developers and automated pipelines, but credentials and context may differ. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A command succeeds locally yet fails in CI because a service account lacks registry access. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: Translating the result as a software defect before checking permissions wastes effort. A safer check is to record actor, environment, permission boundary and relevant non-secret diagnostics. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
19. Plugins and provider-specific behavior
Garden relies on providers and plugins for integration; not every action works identically across Kubernetes, local and cloud environments. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. Two offices use different cloud providers but share an introductory guide. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: A universal claim about log paths or secret storage may be false for one provider. A safer check is to add version and provider scope whenever the explanation depends on implementation. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
20. Configuration syntax and templating
Project configuration contains structured keys, expressions and references that software evaluates. A translator must know which strings are prose. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A YAML sample contains `${variables.foo}` in a service definition and a nearby explanatory comment. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: Changing braces, identifiers or interpolation syntax can silently change deployment configuration. A safer check is to protect exact syntax and test parsing with the installed version. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
21. Variables and secret references
Variables can select values by environment and secrets are typically obtained through controlled mechanisms. Both must be distinguished from user-visible text. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A documentation example shows a secret variable that an engineer must provide through a supported source. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: Replacing the secret name or printing a real value creates operational and security problems. A safer check is to use placeholders, protect identifiers and review examples with the credential owner. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
22. Resource ownership
Garden may create or manage resources through its plugins; cleanup and update instructions should not imply ownership of unrelated infrastructure. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A shared Kubernetes namespace contains workloads deployed by several tools. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: A broad phrase like ‘remove the environment’ can be read as deleting the entire namespace. A safer check is to identify exactly which resources a command owns before recommending cleanup. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
23. Teardown and deletion
Commands that stop, clean up or delete resources have different effects from commands that merely close a console. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. A team wants to stop an interactive session without deleting its persistent database. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: An imprecise translation of ‘down’ can make users underestimate data loss. A safer check is to explain whether the step ends a session, deletes managed resources or affects durable state. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
24. Tests and unreliable assertions
A test result is evidence relative to its inputs, environment and assertion set; it is not a universal guarantee of quality. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A smoke test passes while a mobile user still reports a permissions error. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: Calling a green test suite ‘fully secure’ overstates what was checked. A safer check is to state the test’s coverage and remaining uncertainty in release communications. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
25. Failure codes and retries
A command may fail because of configuration, image pulls, cloud permissions, timeouts or failed tests. Each cause requires different action. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A workflow stops after a remote service times out and the next developer repeats a deployment. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: A translated ‘retry automatically’ instruction might worsen an incident if the task is not idempotent. A safer check is to classify the failure and seek the safe retry policy before advising action. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
26. Time and asynchronous operation
Build or deploy commands can trigger work that continues before resources are healthy; a timestamped status is more useful than a vague completion claim. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A pipeline exits while an application has not yet passed readiness checks. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: The phrase ‘finished’ may be misinterpreted as all end-user checks succeeding. A safer check is to separate command completion, resource readiness and user-level verification. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
27. Unicode in terminals
Non-ASCII logs, filenames and translated comments must display correctly without breaking ANSI control sequences, copyable commands or structured output. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. An engineer uses a right-to-left terminal locale but copies a Latin command from documentation. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: Bidirectional rendering can make operators misread path separators or token order. A safer check is to test copied bytes and display order in representative shells and fonts. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
28. Error messages and localization
Translation of support messages should be precise about actor, action and consequence; machine-generated logs are evidence to quote carefully. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. A build fails because a configuration variable is missing and a support engineer prepares a localized response. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: Replacing the exact error with a vague emotional description prevents diagnosis. A safer check is to retain the error’s essential wording, categorize it and add an actionable explanation. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
29. Release and version documentation
Garden documentation and supported options can change as releases develop; avoid treating online examples as an eternal contract. A reader needs the operational distinction before the command. Naming the object or action accurately is part of teaching, because the same English verb can be used informally for very different stages of software delivery.
Take a practical example. A remote worker follows a guide written for an older CLI against a newer installation. A globally useful example should explain the environment and observable result, not assume everyone knows the writer’s local infrastructure. This is especially important when a new colleague follows the guide without the original author nearby.
One likely mistake is this: An undocumented flag in the translated guide can yield different or failing behavior. A safer check is to include the tested version and link to the relevant command reference. In review, preserve the exact tokens that software evaluates. Translators can improve explanatory prose freely only after engineers have marked the executable surface and the consequences of changing it.
30. International collaboration
Teams in different countries need reproducible actions and unambiguous handoffs, not a word-for-word imitation of local slang. The immediate task is to connect vocabulary to a decision. A fluent translation that does not tell the reader what may happen next offers less protection than plain wording with explicit boundaries.
Take a practical example. A person in another timezone must take over a CI failure without access to the original chat. The example exposes the central difference between intended configuration and confirmed behavior. An explanation should say which piece of evidence supports the claim and which question remains open.
One likely mistake is this: Idioms and ambiguous dates can obscure what was attempted and what remains pending. A safer check is to provide actor, command intent, environment, evidence time and next safe step. The acceptance test is whether an operator can repeat the intended observation or safely choose not to act. Unsupported promises, translated tokens and hidden side effects do not pass that test.
31. A good translation acceptance test
The quality test is whether readers can carry out the same safe operation and understand the same observed result in both languages. Think of this as a small contract between the document and its reader. The document names a particular action, describes its scope and avoids implying a result the system has not yet produced.
Take a practical example. A reviewer opens source and localized instructions side by side and marks actions as read-only or mutating. Users can interpret a familiar word through their own workplace habits. A concrete scenario makes the meaning visible without requiring them to learn every internal implementation detail.
One likely mistake is this: A fluent passage that widens target scope is technically wrong even if every word is grammatical. A safer check is to require engineering sign-off for command effects and linguistic sign-off for clarity. Good localization therefore involves both language and engineering review. Compare command intent, input names, environment scope and observable effects, then correct any discrepancy.
32. Learning from incidents
After a failed release, documentation should clarify the process rather than invent a universal fix. The right explanation is precise without being unnecessarily formal. Say what the named feature does, when it matters and what it does not prove. That sequence helps beginners without irritating experienced readers.
Take a practical example. An organization compares three incidents in different regions and finds that environment selection was repeatedly misunderstood. Consider how the sentence will be read during a failed release rather than in a calm classroom. A reader may act quickly, so subject, action, target and status should be impossible to confuse.
One likely mistake is this: A retrospective written as blame may hide the decision points that future operators need. A safer check is to record the exact misunderstanding, revised wording and evidence used to validate the repair. Reviewing the negative case is particularly valuable: could someone use the translated sentence to justify a broader or riskier operation? If so, add the missing constraint.
Worked example: one service, two environments and a failing test
An international team works on a small API. The developer builds its container image locally, deploys into a preview namespace, and launches an integration test. The test fails because it cannot reach a dependency. None of those facts authorizes a claim that production is broken, nor does a green build mean the service is live. A useful translation names the action that ran, its configured target and the specific observation that produced the result.
An engineer who receives the translated handover should be able to check whether a dependency was started, compare the required variables with the preview configuration and inspect non-secret logs. The guide should not instruct an automatic production redeploy or copy sensitive CI environment values into a translation service. This is why plain language, explicit environment scopes and verifiable evidence matter more than merely adapting terminology.
Frequently asked questions
Should I translate Garden commands?
No. The literal command name, action selector and flag remain as documented by the installed tool. Translate the explanation beside the command, then check that the example can be copied without typographic substitutions.
Does garden build deploy a workload?
Not by itself. Building or preparing an artifact is distinct from deploying it to an environment. Describe the action and the result shown by that specific run, not a broad outcome you assume follows.
Is an environment the same as a language locale?
No. Garden environments select execution and configuration context. A translated article may be read in Japanese while targeting a staging environment named with English tokens.
Why can a test start other actions?
A test can depend on a Build or Deploy action in the project graph. The actual behavior is defined by the project and tool version, so inspect dependencies before calling a test harmless or isolated.
How should error messages be translated?
Preserve any strings needed for search or diagnosis and add a plain-language explanation. Keep identifiers, versions and timestamps. Do not obscure the distinction between an authentication failure, a failed assertion and a network timeout.
Can I localize YAML keys?
Do not change structured keys or template syntax without a documented software migration. Comments and expressly user-facing description fields may be translated when approved by the project owner.
What belongs in a safe incident handover?
Describe command intent, environment, action name, observed status, timestamp, non-sensitive error details and the next checked action. Avoid unsupported root-cause statements.
How should readers check an unfamiliar option?
Consult the installed CLI’s help and its matching official command reference. If a local guide conflicts with the running version, treat that difference as unresolved until tested.
How do I check multilingual terminal behavior?
Compare raw copied command bytes, shell interpretation, structured output and visible glyph order. Test representative accented, CJK and right-to-left texts in non-production settings.
What makes a localization ready to publish?
Language clarity, executable-token protection, correct environment scope, truthful status reporting and a reviewer who can verify command consequences are all essential.
Authoritative references and next reading
- Garden CLI guide: https://docs.garden.io/guides/using-the-cli
- Garden command reference: https://docs.garden.io/reference/commands
- Kubernetes reference: https://kubernetes.io/docs/
Version-specific command help is authoritative for an actual installation. Read the reference alongside the project configuration rather than assuming that every example behaves identically across plugins, environments and Garden releases.