Migrate to Containers

MFIT_COLLECT_FAILED on Migrate to Containers, what causes it and how to fix

By Sai Kiran Pandrala · Last verified: 2026-05-31 · Source: community Q&A, Google Cloud docs, Google Cloud Community

At a glance
ServiceMigrate to Containers
CloudGoogle Cloud (GCP)
Guide typeProcedure
Skill levelIntermediate to advanced
Time15 - 60 minutes depending on account size

When MFIT_COLLECT_FAILED on Migrate to Containers, what causes it and how to fix bites you on Migrate to Containers, the first instinct is to open a ticket. Most of the time you do not have to. The steps below are the ones Google Cloud Support would walk you through on the call.

What mfit_collect_failed on migrate to containers, what causes it and how to fix actually involves on Migrate to Containers

Real-world context. Budget honestly for ~Rs 0 INR for the fix, support adds Rs 2,500 to Rs 80,000 INR per month (around $30 to $960 USD/month), because the cheap path looks tempting until a part shows up wrong. You will burn ~15 to 45 minutes hands-on and roughly ~1 to 4 hours including IAM review and validation once verification is done. Before you touch anything, line up an Owner or relevant IAM role, gcloud CLI signed in, and a Cloud Logging filter ready. those three are what saves you when the first attempt does not stick.

The MFIT_COLLECT_FAILED error from AWS typically surfaces with the message "mfit_linux_collect.sh failed permission denied accessing /etc/fstab". The error code itself is what you grep for in AWS re:Post or in AWS Support cases, not the human-readable line.

On Migrate to Containers, this most often comes from one of three causes: a missing or restrictive IAM permission, a service-level limit you have hit, or a transient AWS-side capacity issue. The fix path differs by which.

The rest of this page is the structured fix path. Start with diagnose, then remediation, then the automation options so you do not have to do this by hand the next time it surfaces. Verify and safety sections at the end are the discipline that keeps the fix from regressing in production.

Diagnose first, fix second

Check Cloud Monitoring Logs for the calling service. Lambda, ECS, EKS, Step Functions, API Gateway, and most managed services write detailed traces to Cloud Monitoring Logs under predictable log group names. Use Cloud Monitoring Logs Insights with fields @timestamp, @message | filter @message like /ERROR/ | sort @timestamp desc | limit 50 to surface the most recent failures.

Check the Google Cloud Service Health at status.cloud.google.com and the per-product status board for ongoing service events in your region. About one in ten user-reported outages turn out to be region-scoped Google Cloud service degradation already being tracked. Cloud Service Health also exposes an API and Eventarc events, so you can wire a Lambda hook that pages on-call only when the failure correlates with an active Cloud Service Health event in the same region and service.

Reproduce the failure with the gcloud CLI in --debug mode. The full SigV4 request payload it emits, plus the exact endpoint URL it resolved to, is what Google Cloud Support uses to verify policy, region, or parameter issues without you having to share IAM credentials. Save the debug output to a file with gcloud ... --debug 2> debug.log and you can search it for the failed aws.request entry.

Solution-focused remediation path

If the issue points at IAM, do not start by adding * to a policy. Use IAM Policy Troubleshooter and IAM Recommender against the failed action to see the minimum scope. Adding * is the fastest way to fail your next Google Cloud Architecture Framework security review, and it usually does not even fix the issue because the explicit deny is often coming from a higher level (Org Policy, RCP, or permission boundary), not a missing allow.

When the fix involves a destructive operation (delete VPC endpoint, swap Cloud KMS key, rotate root credential), do it during a maintenance window with at least one teammate watching. Several Migrate to Containers operations have implicit dependencies that only show up when traffic starts flowing again. Document the rollback path before you start, not during the incident.

If networking is suspect, use Network Intelligence Connectivity Tests. It is the only tool that simulates the full ENI-to-ENI path including firewall rules, hierarchical firewall policies, routes, and VPC Service Controls perimeters in one call. Manual trace is slower and misses transitive issues. The analyzer charges $0.10 per analysis - cheaper than a 30-minute call with your network team.

Automate this fix so you do not do it twice

Codify the fix in Terraform or Deployment Manager

When you reach for the console to fix the same issue twice, the third occurrence should be solved in IaC, not in the console. Terraform's terraform import and Deployment Manager or Terraform's resource importer let you adopt the existing resource into state without recreating it. Lock the corrected attribute behind a variable so the next operator does not have to rediscover the value. Add a moved {} block or Deployment Manager or Terraform resource refactor to keep the diff clean.

Add a Cloud Monitoring alert policy so you know next time

The cheapest way to never see the same incident twice is a Cloud Monitoring alert policy on the metric that would have warned you. For Migrate to Containers, the relevant metrics live under compute.googleapis.com/migrate namespace or under custom metrics published by your Cloud Run service or GKE pod. Set thresholds based on observed normal range plus one or two standard deviations, not on round-number guesses. Cloud Monitoring anomaly-based alert policies remove the threshold-guessing problem entirely for metrics with regular seasonality.

Add a Workflows or Cloud Tasks Automation runbook

For multi-step fixes that include a manual approval, use Workflows runbook. Document the fix as a runbook with workflows.executions.approve steps where a human signs off and workflows.steps.callApi steps where the runbook calls the Google Cloud API. Approvers are notified by SNS; the runbook execution shows up in Cloud Audit Logs with the approver's identity attached. This makes audit trails easy and stops production fixes from being one-person operations.

Common pitfalls and what to watch for

A subtle pitfall on Migrate to Containers is that the Cloud Console and the SDK can disagree about resource state during a configuration change. Console UI is cached for performance and may show the old config for up to 10 minutes after you change it via API or Deployment Manager or Terraform. Always confirm with describe-* CLI calls during a change window, not with screenshots from the Console.

The other pitfall: assuming that an automated remediation is correct because it succeeded. A Lambda that fires on a Cloud Monitoring alert policy and runs a remediation step should also publish a metric for every remediation; sudden surges in auto-fix invocations are themselves an outage signal. Otherwise you can hide a slow-burn regression behind a quiet remediation loop for weeks.

Verify the fix worked

Safety, rollback, blast radius

FAQ

How long does mfit_collect_failed on migrate to containers, what causes it and how to fix typically take on Google Cloud?
For most Migrate to Containers environments, 15 to 60 minutes including verification. Large multi-account setups, anything touching Org Policys at the Organizations level, or cross-region replication can stretch to half a day because Google Cloud has to wait for replication and IAM session caches.
Is there a rollback path?
Yes for most Migrate to Containers changes. Export the existing config to JSON via gcloud migrate describe-... first, then commit it before you change anything. A few operations are one-way (Cloud KMS key deletion past the pending window, region migration, account closure). Check the Google Cloud doc for the specific API before you commit.
Will this affect dependent Google Cloud services?
Often yes. Migrate to Containers resources are usually referenced by other workloads (Cloud Run services, GKE workloads, IAM-bound apps, Cloud CDN origins, downstream pipelines). Use IAM Access Analyzer + Cloud Audit Logs to enumerate consumers before changing a shared resource.
What if my Cloud Console layout does not match these steps?
Cloud Console UI moves quarterly. The Console layout in this page is current as of 2026-05-31 but the underlying CLI / SDK calls do not change as fast. If the Console version differs, fall back to aws CLI or SDK calls - those almost always still work.
Where do I get Google Cloud Support help if I am still stuck?
Open a case via the Google Cloud Support Center with: the request ID + correlation ID, the exact error string, Cloud Audit Log event, and your reproduction steps. Google Cloud Community is the no-cost public alternative - search there first; 80% of common Migrate to Containers issues already have an answer with an Google-staff-verified flag.

References

Related guides worth a look while you sort this one out: