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Use a twice-monthly release review as an internal control point—not as a claim that Google ships two major Google Ads API versions every month. Google says the API typically has three major releases and three major-release sunsets per year. Minor releases and unversioned feature changes can arrive between those milestones, so a team checkpoint every two weeks gives you a repeatable way to detect changes, map them to integrations, test risk, and act before a sunset becomes an outage.
The practical workflow is: maintain an inventory of endpoints, versions, and client libraries; review Google’s release notes, API blog, service announcements, and sunset schedule; classify each change; assess affected reads, writes, schemas, and error handling; update and test the necessary code; then roll out with monitoring and a recorded decision.
What a twice-monthly release review actually is
A twice-monthly review is a team operating rhythm. Pick two recurring checkpoints, such as the first and third Tuesday of each month, and assign an owner, backup owner, and a short time window for each. The checkpoint is not a promise that Google publishes a release on those dates. It is your deadline for looking for upstream changes and deciding whether any integration work is required.
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Every checkpoint should leave an auditable record: the date reviewed, people involved, sources checked, integrations affected, classification of each change, chosen action, test evidence, owner, and next deadline.
Assign clear ownership
- Release owner: checks Google’s published material and opens or updates work items.
- Integration owners: confirm which applications, jobs, dashboards, and data pipelines use an affected endpoint or field.
- Library owner: verifies the client-library version and dependency constraints for each language and build system.
- Validation owner: coordinates regression, staging, canary, and monitoring evidence.
- Incident owner: is named in advance for a sunset or breaking-change escalation.
Small teams can combine these roles, but the names should still be explicit. A shared calendar event and a version-control issue template prevent the review from depending on one person’s memory.
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Classify every change before deciding what to do
Start by putting each finding into one of three categories. The category determines endpoint work, source-code risk, library action, and urgency.
| Change category | Endpoint effect | Compatibility expectation | Typical engineering action | Deadline signal |
|---|---|---|---|---|
| Major release | A new major-version endpoint is introduced. | Breaking changes are possible; existing code may need edits. | Read the upgrade guidance and proto-difference tables, update the endpoint and compatible client library, then test affected behavior before rollout. | The release and later sunset dates for the version you use. |
| Minor release | The existing major endpoint is updated in place. | Backward-compatible by design, although new fields, enums, behavior, or limits can affect assumptions. | Review notes, check schema and parsing assumptions, update dependencies when appropriate, and run targeted regression tests. | Any stated deprecation or sunset date, plus your own adoption policy. |
| Unversioned change | No new major endpoint is required. | Changes occur outside major-version boundaries; compatibility must be evaluated from the announcement and observed behavior. | Identify feature flags, new response values, changed validation, or operational effects; add tests and documentation without assuming a version migration. | The announcement’s timing, deprecation notice, or operational impact. |
Major releases
A major release can remove or alter fields, enums, services, request rules, response shapes, or error behavior. Google publishes upgrade guidance and proto-difference tables for these migrations. Treat the migration as a code change, not as a dependency-only update. A successful package installation does not prove that request construction, response handling, retries, or reporting logic still behave correctly.
Minor releases
A minor release updates the existing major endpoint and is intended to remain backward-compatible. That does not mean it is irrelevant. Code that assumes an exhaustive enum list, exact response serialization, a fixed field set, or a particular error message can still be exposed to a new value or behavior. Review the release notes and run tests around those assumptions.
Unversioned changes
Google also documents changes that happen outside major-version boundaries. These can include new features, behavior adjustments, or service changes that do not give you a new endpoint to switch to. Record them separately so they are not lost in a version-upgrade backlog.
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Build the inventory that makes a review possible
You cannot determine impact from a release note alone. Maintain one inventory row per integration, environment, or separately deployed component. At minimum, record:
- Application or job name and business owner.
- Production, staging, and development environments.
- Google Ads API major endpoint and any minor version policy used by the component.
- Client-library language, exact package version, and lockfile or module file.
- Authentication and account scope where relevant to the integration.
- Services and operations used, such as campaign reads, mutation workflows, reporting queries, or conversion uploads.
- Generated code or checked-in schema artifacts that must be regenerated.
- Last successful validation date and the person who approved it.
- Known deprecation, release, and sunset dates.
Use the exact version string in the inventory rather than “latest.” Pin production dependencies through the package manager’s lock mechanism, and record the source commit or build artifact that contains the dependency. This makes it possible to answer which version was running when a behavior changed.
Track library support separately from API version
An API endpoint version and a client-library version are related but not interchangeable. The sunset schedule includes compatibility information that can identify the minimum compatible client-library version for a Google Ads API release. Capture that requirement in the same inventory row as the endpoint.
Google provides official client libraries for multiple languages. Google’s documentation describes the Node.js and Go libraries as community-maintained rather than officially supported or maintained by Google. If you use either, assign an owner to verify release activity, compatibility, and issue resolution instead of assuming the support model is the same as for an official library.
The twice-monthly checkpoint procedure
Run the following sequence at each checkpoint. Keep the meeting short by doing the source review and inventory updates asynchronously before the decision meeting.
- Collect upstream notices. Read the Google Ads API release notes, API blog posts, and service announcements published since the previous checkpoint. Include notices for unversioned changes, not only numbered releases.
- Check the sunset schedule. Compare every production and staging version in your inventory with the current schedule. Record release dates, sunset dates, and the minimum compatible client-library version. Treat tentative dates as changeable and verify the live schedule before committing to a deadline.
- Normalize the findings. For each notice, write down whether it is a major release, a backward-compatible minor release, or an unversioned change. Link the finding to the affected service or operation in your internal tracker.
- Map usage. Search source code, configuration, generated clients, query libraries, and deployment manifests for the endpoint, service, fields, enums, and error codes named in the notice. Ask each integration owner to confirm runtime usage; a text search alone can miss dynamically built requests.
- Check the client library. Determine whether the current package supports the target endpoint and whether a newer compatible package is required. Review transitive dependency changes and the lockfile diff before approving an update.
- Choose an action and owner. Mark the item as no action, documentation-only, test-only, dependency update, major migration, or sunset emergency. Give it a due date based on the sunset or operational risk, not on the next meeting date.
- Run the normal validation process. Test the affected reads, writes, response parsing, and error handling in the team’s standard environments. Record test data, account scope, build identifier, and results.
- Decide rollout and monitoring. Approve, defer with a written reason, or escalate. For a code or dependency change, define the deployment window, rollback artifact, dashboards, alerts, and an owner who will watch the first production traffic.
Close the checkpoint by updating the inventory and calendar. An item is not complete merely because someone read the release note; it is complete when the team has recorded the impact decision and evidence supporting it.
How to prepare a major-version migration
Use a separate migration work item when a major release affects an integration. The following order minimizes the chance of discovering a schema or library problem during deployment.
1. Establish the migration boundary
Write down the current endpoint, target endpoint, affected services, and the production sunset date of the current version. Identify whether the application can run old and new clients side by side in a staging or canary build. If it cannot, plan a short, controlled cutover with a tested rollback artifact.
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2. Read the upgrade material and proto differences
Start with Google’s upgrade guide for the target release, then inspect the published proto-difference tables. Turn each changed message, field, enum, service, and validation rule into a code-review checklist item. Pay special attention to removed fields, renamed values, changed request requirements, and response types used by serializers or analytics jobs.
3. Update the endpoint and compatible library together
Select a client-library version compatible with the target endpoint and update the endpoint configuration in the same change set where practical. Keep the dependency lockfile diff reviewable. Regenerate client code when your build uses generated artifacts, and ensure the generated output is produced by the same toolchain used in continuous integration.
4. Locate behavioral assumptions
Review code that branches on enum values, treats missing and empty fields as equivalent, assumes a fixed ordering, parses error text, or retries every failure identically. Replace brittle exhaustive handling with an explicit unknown-value path where the API contract permits it. Preserve the original error details in logs so a changed error shape can be diagnosed.
5. Validate representative workflows
Exercise at least one successful read, one successful write, a permission or validation failure, a transient failure subject to retry, and a response containing optional or newly changed fields. Include the reporting queries and conversion workflows that feed downstream systems, not just a health-check request.
6. Release in controlled stages
Deploy to staging first, then use a canary account, tenant, or worker pool if your architecture supports it. Compare request success rate, error categories, latency, mutation counts, and downstream data quality with the previous client. Keep the old build available until the canary meets the team’s exit criteria.
Keeping client libraries compatible between migrations
Client-library maintenance is a continuous task, not something to postpone until a sunset week.
- Pin and review: use exact or policy-controlled versions in production, review release notes for dependency updates, and merge upgrades through normal code review.
- Separate API and package changes: record whether a commit changes the endpoint, the library, generated code, or all three. This makes rollback and incident analysis easier.
- Build a compatibility check: have continuous integration compile the integration against the pinned package and execute a small request/response contract suite. Keep this suite independent from production credentials by using test accounts or mocked transport where appropriate.
- Watch unsupported maintenance models: for Node.js and Go, which Google describes as community-maintained libraries, verify maintainership and issue status before relying on a package update for a deadline-critical migration.
- Document transitive changes: authentication, HTTP, serialization, and retry dependencies can change when the Ads client changes. Record security or behavior-impacting updates in the same release item.
Do not infer compatibility from a successful build alone. A package may compile while a changed enum, field mask, quota response, or error payload breaks a runtime path.
Testing and rollout checks that expose real failures
The exact test suite is a team decision, but the risk areas should be explicit. Use a matrix that maps each affected operation to the kind of evidence required.
| Area | What to exercise | Evidence to retain |
|---|---|---|
| Reads and reporting | Representative queries, pagination, optional fields, date ranges, and downstream transformations. | Expected row or metric shape, parser logs, and comparison with a known-good run. |
| Writes and mutations | One permitted mutation in a controlled account, field masks, validation failures, and idempotent retry behavior. | Request identifier, outcome, resulting resource state, and rollback or cleanup confirmation. |
| Error handling | Authentication, authorization, invalid arguments, quota or rate limits, and transient transport failures. | Error category mapping, retry decision, alert behavior, and preserved diagnostic details. |
| Operational behavior | Latency, throughput, quota consumption, worker concurrency, and queue backlogs. | Before-and-after dashboard snapshots and alert thresholds used for the rollout. |
Use production-like account structure and permissions in staging where possible. A test that runs only against a permissive account can miss authorization failures that occur for real customers or managed accounts.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Sunset management and deadline control
Deprecated versions continue working until their published sunset date. After sunset, the endpoint stops working, so a warning is not an outage buffer. The sunset schedule also provides version-specific release dates and client-library compatibility details.
Keep a sunset register with one row per integration:
| Field | Required value |
|---|---|
| Integration and owner | Application name, technical owner, and business contact. |
| Current endpoint | Exact major version and environment. |
| Client library | Language, package, exact version, and minimum compatible version for the target. |
| Release and sunset dates | Dates from the live schedule, with a note when a date is tentative. |
| Migration status | Not started, assessed, in development, staging, canary, complete, or blocked. |
| Last evidence | Test build, deployment identifier, and approval date. |
| Escalation date | The date at which an unfinished migration is raised to engineering leadership. |
Set internal deadlines earlier than the published sunset. Reserve time for account-specific permissions, client-library issues, staging failures, production deployment windows, and rollback. Never copy a tentative date into a customer promise without checking the live schedule again.
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Handling unversioned changes without a version switch
An unversioned change has no new major endpoint to migrate to, so the response is operational rather than a simple URL replacement. First identify whether the change adds a response value, alters validation, introduces a feature that must be enabled, or changes service behavior. Then add a focused test or monitoring signal for that behavior.
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For example, code that deserializes an enum should have a defined unknown-value path; code that reports a fixed set of metrics should tolerate an added field without silently dropping required data; and a mutation workflow should surface newly returned validation details instead of collapsing them into a generic failure. Document the expected behavior in the integration’s runbook so the next checkpoint can distinguish a planned change from a regression.
Failure modes and recovery actions
The team discovers a sunset date too late
Freeze unrelated dependency changes, confirm the live schedule and compatible library requirement, and assign a migration owner immediately. Prioritize the smallest production path that keeps critical reads or writes operating, then schedule the remaining integrations. Escalate if staging or library support blocks the internal deadline; do not wait for the endpoint to fail.
The package update compiles but requests fail
Compare the generated or constructed request with the prior build, inspect field masks and enum values, and capture the API error category and request identifier. Re-run the failing operation against a controlled account. If the target endpoint requires a source edit, roll back to the last known-good artifact while the migration is corrected.
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Check for differences in endpoint configuration, library version, account permissions, feature flags, and query or mutation shape. The shared API does not imply identical risk: two applications can use different services or package versions.
Release notes mention behavior but no code change
Record the item as reviewed, add a monitoring or test check if the behavior matters, and state why no source change is needed. This prevents the same notice from being rediscovered without a decision.
A rollout increases errors or data discrepancies
Use the canary and monitoring evidence to stop the rollout, restore the previous artifact if it is still within its support window, and preserve logs and request identifiers. Classify the incident as endpoint, library, schema, permissions, quota, or downstream-processing related before changing code; otherwise a rushed fix can hide the original failure.
What good looks like after each checkpoint
At the end of a successful review, every production integration has a current version and library entry, every newly published notice has a classification, every approaching sunset has an owner and internal deadline, and every required migration has a test or rollout record. The team may decide that no deployment is needed during a particular checkpoint, but that decision should be deliberate and recorded.
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