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How do you migrate a serverless app between edge platforms without downtime? Deploy the destination first, validate it while the current service remains live, prepare its domain and TLS, move traffic in controlled stages, monitor each increase, and keep a tested rollback path. That process can avoid an intentional outage, but it cannot guarantee uninterrupted service: DNS caching, runtime differences, state changes, routing mistakes, and provider failures remain possible.
The exact cutover depends on your source and destination platforms, framework, DNS arrangement, authentication model, and stateful services. Treat “without downtime” as an operational objective supported by parallel operation, prevalidation, staged routing, observability, and rollback—not as a property any migration method automatically provides.
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What a no-downtime migration actually requires
A serverless application is more than its function source code. The production behavior also includes build settings, runtime APIs, environment variables, secrets, routes, redirects, headers, scheduled jobs, queues, databases, object storage, authentication, certificates, DNS, and provider-specific bindings. A successful migration reproduces or deliberately replaces each of those pieces before users are sent to the new platform.
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesDuring the transition, the old and new implementations may both serve requests. That is useful because it gives you a live fallback, but it introduces version-skew problems: one user can reach different versions on consecutive requests, and an API or data change made by one version can affect the other. The migration plan therefore has two parallel goals:
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- Keep a healthy path to the existing service until the destination has proved itself under real conditions.
- Ensure that code, assets, APIs, sessions, and durable data remain compatible while both versions are active.
If your architecture cannot support parallel operation or backward-compatible data changes, schedule a maintenance window rather than promising zero interruption.
1. Map the existing system before changing anything
Create an inventory that another engineer could use to rebuild the application. Record the current behavior, not just the files in the repository. Mark every item as stateless, replicated, or durable state that must be migrated or shared.
| Area | Record | Migration question |
|---|---|---|
| Application routes | Pages, API paths, edge middleware, rewrites, redirects, status codes, and custom headers | Can a path be moved independently, or must the whole host move together? |
| Build and runtime | Framework and version, package manager, build command, output directory, Node or other runtime version, native modules, and edge API usage | Does the destination implement the same APIs and execution limits? |
| Configuration | Environment variables, secrets, feature flags, regional settings, and variable scopes for preview and production | Which values must be recreated, rotated, or renamed? |
| Durable services | Databases, key-value stores, object storage, queues, streams, search indexes, and caches | Will both versions read and write the same data, and are their schemas compatible? |
| Identity and sessions | Cookie names and attributes, token issuers, OAuth callbacks, session stores, and signing keys | Can a session created by one version be verified by the other? |
| Background work | Cron or scheduled functions, event consumers, webhooks, retry policies, and dead-letter handling | How will duplicate execution be prevented while both platforms are enabled? |
| Operations | Logs, traces, metrics, alerts, synthetic checks, rate limits, WAF rules, and incident contacts | Will equivalent signals exist before traffic is moved? |
| Domain and delivery | Apex and www hostnames, DNS provider, authoritative records, certificates, redirects, and cache rules |
Can the destination answer for every hostname before the record changes? |
Capture dependencies between these items. For example, an API route may depend on a database migration, a queue consumer may depend on a particular event schema, and a redirect may depend on whether the request arrived at the apex or www hostname. This dependency map determines what can move independently and what must move as one unit.
2. Prove the application on the destination platform
Deploy a production-like copy to the destination provider’s project URL or preview environment while the old deployment remains authoritative. Do not begin with a DNS change. First make the destination build and serve the application correctly on its own hostname.
- Match the build. Recreate the framework version, package manager, build command, output directory, install flags, and required runtime version. If the destination’s edge runtime lacks a Node API, filesystem behavior, native binary, or regional capability that your code uses, replace that dependency or choose a compatible execution target.
- Translate function entry points. Providers use different conventions for handlers, request and response objects, middleware, static assets, and streaming. A function that works on one platform may need a different file location, export shape, adapter, or runtime declaration on another.
- Recreate configuration safely. Add environment variables and secrets to the destination with the correct production scope. Check names, casing, multiline values, encryption, and whether a variable is exposed to browser code. Never copy a secret into source control merely to make a preview build pass.
- Rebuild routing behavior. Port rewrites, redirects, headers, trailing-slash rules, cache directives, authentication gates, and error pages. Test both successful and negative cases, including unknown paths and methods other than
GET. - Connect managed services. Decide whether the new deployment will use the existing database and storage, a replicated service, or a replacement. Provision queues, scheduled tasks, identity integrations, webhooks, and access policies before enabling traffic.
- Run compatibility tests. Exercise representative pages, API contracts, uploads, login and logout, token refresh, background jobs, cache misses, large responses, timeouts, and failure responses. Compare status codes, headers, cookies, response bodies, and user-visible rendering with the current service.
Use the destination’s public project URL for tests that require a real edge request. Local emulation is useful for fast feedback, but it cannot prove certificate handling, provider routing, regional behavior, or production limits.
Keep production data safe during validation
Read-only tests are safest. If the destination must write to production services, make those writes idempotent, tag test records, and verify that retries cannot create duplicates. For destructive operations, use a staging dataset or a feature flag that disables the operation until cutover. Validate observability at this stage so a failed request produces a traceable log and alert before users depend on the new path.
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3. Prepare the domain, DNS, and TLS before traffic moves
Add every production hostname to the destination and complete ownership validation and certificate provisioning while the old service still answers requests. Certificate issuance or domain verification that is postponed until cutover can turn a planned migration into an outage.
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- Enter the exact apex and subdomain names required by the application in the destination project.
- Complete the provider’s ownership check, such as a required TXT record, without removing the current production record.
- Wait for the destination to report that certificates are issued and that each hostname is ready to serve HTTPS.
- Record the destination’s instructed A, AAAA, or CNAME values for the actual domain. Do not copy a sample record from documentation when the project displays a different value.
- Check whether your DNS provider uses proxying, flattening, health checks, or a separate CDN layer that could alter the requested record.
A Vercel migration guide says Cloudflare domains generally use a five-minute TTL, but recommends checking the actual record. The same guide warns that DNS changes can take up to 48 hours to propagate globally. Those figures describe that provider’s guidance, not a universal DNS service-level agreement. During propagation, recursive resolvers can continue sending users to the old destination while others reach the new one, so both deployments must remain healthy.
Verify the apex and www host separately when both are used. A provider may not automatically create both hostnames, and a redirect that works on one does not prove that the other has a certificate, route, or correct DNS record.
4. Choose a traffic transition that matches your architecture
There is no single universal cutover mechanism. Choose the smallest traffic unit you can observe and roll back safely.
| Transition pattern | How it works | Best fit | Main hazard |
|---|---|---|---|
| Route-by-route proxy or rewrite | Keep the legacy service in front and send selected paths to the destination after validation. | Large applications whose pages or APIs can move independently. | Cross-route sessions, links, or shared assets may still cross versions. |
| Destination-side fallback | Serve the new deployment and forward unmatched or deliberately excluded paths to the legacy service. | Applications where the destination can proxy safely to the old origin. | Fallback loops, changed headers, and latency differences must be tested. |
| Legacy reverse proxy | Configure the current edge or gateway to proxy selected paths to the new platform. | Teams that already control routing at the old edge. | The old layer remains a critical dependency until the final cutover. |
| Percentage split | Send a defined share of requests to one version and the remainder to another. | One application deployed as multiple versions on a platform that supports gradual deployment. | A user’s consecutive requests can land on different versions. |
| DNS cutover | Change the authoritative target for a hostname. | Final movement after destination validation, or simple stateless sites. | Resolver caching makes the change gradual and difficult to reverse instantly. |
Vercel documents incremental migration patterns using rewrites, fallback behavior, and a legacy-server or reverse-proxy arrangement. Its incremental migration documentation states a limit of 1,024 rewrite routes per deployment and points to middleware for larger route counts. Cloudflare Workers documents percentage-based gradual deployments between versions. These are platform-specific examples; confirm that your chosen source, destination, and proxy path support the exact arrangement you intend.
Plan for version affinity and asset consistency
When a split sends a user to different versions, the browser may hold HTML from one version while requesting JavaScript, CSS, images, or API responses from another. Use content-addressed asset filenames, compatible API responses, and a cache strategy that prevents an old document from referring to deleted assets. If the platform offers version affinity or a version override, use it for sessions or other workflows that must remain on one version, then test what happens when affinity expires.
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Cookie signing keys, session-store formats, feature flags, and authentication callbacks must be accepted by both versions. If a route changes its response schema, make the new response backward-compatible before splitting traffic; do not require old clients to update at the same instant as the server.
5. Define monitoring and ramp traffic deliberately
Before sending production requests, write down the signals that determine whether the destination is healthy. Use your normal service objectives and baseline rather than a generic industry threshold. Useful checks include:
- HTTP error rates by route, status code, region, runtime, and version.
- Unhandled exceptions, timeouts, rejected promises, and function-resource exhaustion.
- Latency percentiles for user-facing pages and critical APIs.
- Authentication success, session continuity, checkout or transaction completion, and other business-level outcomes.
- Queue depth, database errors, storage failures, cache hit behavior, and duplicate background work.
- Client-side errors, missing assets, content mismatches, and synthetic probes from multiple regions.
Cloudflare’s gradual-deployment guidance specifically calls for monitoring errors and exceptions while versions share traffic. Cloudflare Workers documentation, last updated July 3, 2026, cautions: “Because gradual deployments mean multiple versions of your Worker serve traffic simultaneously, clients and services can end up interacting with more than one version in ways that produce errors or inconsistent behavior.” Treat that as an architectural warning, not merely a logging recommendation.
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- Confirm that health checks, dashboards, logs, alerts, and on-call ownership are active.
- Send the initial cohort through the chosen route, split, or version override.
- Compare destination metrics with the legacy baseline, separating expected traffic differences from regressions.
- Inspect representative traces and user journeys, not only aggregate error rates.
- Pause or reverse the change if a predefined application-specific threshold is breached.
- Record the observation and configuration before increasing the share.
6. Make state and schema changes rollback-safe
Code rollback is not data rollback. If the new version adds a column, changes an enum, rewrites an object format, rotates a signing key, or creates a platform resource, reverting the deployment does not undo that change. The old version must continue to operate against the resulting state.
Use an expand-and-contract data plan
- Expand: add new fields, indexes, or tables without removing or changing the old representation.
- Dual-read or dual-write: update code so old and new versions can use the shared data safely. Make writes idempotent and define which version is authoritative.
- Migrate: backfill data with a resumable, observable job that does not block normal requests.
- Switch: enable the new representation only after both versions can tolerate it.
- Contract: remove obsolete fields and resources only after the rollback window has closed.
Keep the old database permissions, queue consumers, storage buckets, secrets, and provider bindings available until you no longer need to return traffic to the legacy deployment. Disable duplicate schedulers and event consumers deliberately; otherwise parallel deployments can process the same event twice.
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Cloudflare’s rollback documentation states that 100 recent versions are available for rollback. That is a product limit for the documented Workers workflow, not a substitute for retaining compatible data and resources. A rollback is useful only when the selected version can still authenticate, read the current schema, retrieve its assets, and perform required writes.
7. Define and test rollback before the first real-user ramp
Write a short rollback runbook with an owner and an exact control to change. Depending on the pattern, that control may be a traffic percentage, a rewrite rule, a reverse-proxy target, a version override, or a DNS record. Include the time needed for the change to take effect and the checks that prove traffic has returned to the healthy version.
- Declare the trigger, such as an application-specific error, latency, correctness, or data-integrity threshold.
- Stop the traffic increase and preserve logs, traces, request IDs, and the active configuration.
- Route new requests to the last known-good version using the fastest available control.
- Verify authentication, critical transactions, background processing, and user-visible assets on that version.
- Check for writes made by the failed version. Reconcile or quarantine affected records; do not assume deployment rollback repaired them.
- Keep the destination available for diagnosis, but prevent it from receiving production traffic until the cause and a safe fix are known.
Test this procedure in a nonproduction environment and, where possible, with a small production cohort. A rollback that has never been exercised often fails because a rule is in the wrong project, a secret exists only in the new environment, or a DNS change cannot be reversed quickly.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.8. Complete the cutover and retire the old platform carefully
After the destination has served the intended workload through the observation period and all health checks pass, move the remaining routes or increase the split to the destination. If the final step is a DNS change, keep the old service running throughout resolver propagation.
- Apply the final routing or DNS change using the recorded destination values.
- Test the apex,
www, API subdomains, preview exclusions, and any alternate hostnames separately. - Verify HTTPS certificates, redirect status codes, cache behavior, security headers, robots directives, and canonical URLs.
- Check logs and user journeys from multiple regions while old resolvers may still reach the legacy service.
- Confirm that scheduled jobs, queues, webhooks, and event consumers have one intentional active owner.
- Keep the legacy deployment, compatible data paths, and rollback configuration for the agreed stabilization period.
- Remove old routes, credentials, certificates, and resources only after traffic, logs, and DNS observations show that they are no longer needed.
Do not delete the old project immediately after the DNS record changes. Cached DNS answers and long-lived client connections can outlive the control-plane change, and an emergency rollback may require the old endpoint to remain reachable.
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Choose the platform that reduces migration risk for your application, not the one with the most general feature claims. Evaluate both the destination and the controls available during coexistence.
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| Decision axis | Questions to answer | Evidence to collect |
|---|---|---|
| Runtime and framework | Are required language APIs, framework adapters, streaming modes, native modules, package versions, and execution limits supported? | A destination build, integration tests, and production-like latency and failure tests. |
| State and service portability | Can the platform connect to your database, KV store, object storage, queues, scheduler, and identity provider without changing consistency or security assumptions? | Connection behavior, permissions, region choices, data-transfer implications, and dual-version compatibility. |
| Traffic controls | Can you route by path, proxy to the old service, split by percentage, pin a version, or provide a fallback? | Documented limits, configuration scope, propagation time, and a tested reversal. |
| Observability | Can logs, traces, metrics, client errors, and deployment versions be correlated during a split? | Request IDs, dashboards, alert latency, retention, and regional visibility. |
| Rollback | How quickly can code traffic be reversed, and what version history is retained? | A rehearsed rollback and an inventory of data and resource changes that code rollback cannot undo. |
| Domain workflow | How are ownership checks, certificates, apex records, subdomains, redirects, and DNS targets handled? | Actual project values, certificate status, DNS-provider behavior, and propagation observations. |
| Operational fit | Does the team understand the provider’s limits, deployment permissions, incident process, and support path? | Runbooks, access reviews, escalation contacts, and a tested failure scenario. |
Vercel and Cloudflare Workers illustrate different migration controls in their published guidance, but neither is universally best. Your framework, state model, DNS provider, traffic pattern, and rollback requirements determine which capabilities matter most.
Common failure modes and recovery actions
The destination build succeeds but requests fail
Compare runtime declarations, function entry points, environment-variable scopes, and provider-specific request APIs. Inspect the first failing trace for a missing secret, unsupported library, timeout, or response-construction difference. Keep production traffic on the old service until the same request succeeds through the destination hostname.
Some users see old assets or blank pages
Check whether HTML from one version references assets removed by another, whether a CDN cached an old manifest, and whether a split sends API calls to an incompatible version. Use immutable asset names, retain old assets through the rollback window, and make API responses tolerant of both client versions.
Users are logged out during the split
Compare cookie domain, path, Secure and SameSite attributes, encryption keys, token issuers, clock handling, and session-store formats. Ensure both versions can verify sessions created by the other before increasing traffic.
Data looks correct but rollback breaks writes
Identify schema, index, enum, permission, and resource changes made by the destination. Restore the old version only after confirming it can read and write the current state, or complete a compatibility migration that supports both versions.
DNS appears inconsistent
Query authoritative nameservers and several recursive resolvers, then test from more than one region. Confirm that the record actually changed at the authoritative provider, that proxying or flattening did not alter it, and that the old service remains available while cached answers expire.
Background jobs run twice
List every scheduler and event consumer on both platforms. Choose one active owner, add idempotency keys, and monitor queue depth and duplicate effects before removing the old trigger.
Quick Recap
Final migration checklist
- Every route, runtime dependency, variable, secret, redirect, header, service binding, job, and hostname is inventoried.
- The destination deployment passes production-like functional and failure tests on its own provider URL.
- Domain ownership and TLS are complete before the live DNS or routing change.
- The selected transition pattern has a tested fallback to the old service.
- Sessions, browser assets, API contracts, and cache behavior tolerate mixed versions.
- Schema and resource changes are backward-compatible, with an explicit expand-and-contract plan.
- Dashboards, alerts, synthetic checks, and rollback ownership are ready before traffic starts.
- Traffic increases are recorded and evaluated against application-specific objectives.
- Apex,
www, API hostnames, redirects, schedulers, queues, and webhooks are verified separately. - The old deployment and its required resources remain available until the stabilization and rollback window ends.
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