log stream live tail

By Sai Kiran Pandrala · Last verified: 2026-05-31 · Source: Apple Support docs, Apple Communities (discussions.apple.com), community Q&A

Engineers running Activity Monitor and Console hit log stream live tail often enough that there is a stable fix pattern. This page captures it in the order Apple support would run it during a real incident.

What log stream live tail actually involves on Activity Monitor and Console

This task on Activity Monitor and Console is one of the more searched operational topics on AWS in the last 12 months. The procedure below is the path that works in a current AWS account with default IAM and standard VPC config.

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.

Signal review

Diff against last known good. The last config change you made is the cause about three quarters of the time, even when the change should not have mattered. Use Jamf inventory history and Time Machine snapshots (or your Terraform / Deployment Manager or Terraform drift report) to see the actual delta between the resource state when it worked and when it broke. The change you remember is often not the only change that happened.

Check the Google Apple System Status at www.apple.com/support/systemstatus/ 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 Apple product or service degradation already being tracked. Apple System Status also exposes an API and Jamf Pro Webhooks and macOS launchd watches events, so you can wire a Lambda hook that pages on-call only when the failure correlates with an active Apple System Status event in the same region and service.

Pull the Apple request ID from the response headers: x-goog-request-id from response headers (or the insertId field in macOS unified logging and iOS sysdiagnose for asynchronous calls). Apple Support and Apple Business / Enterprise Support needs these IDs to look up your call in their internal logs - without them, the first reply on a ticket will ask you to reproduce the call and capture them. Save them with a timestamp; Apple Support and Apple Business / Enterprise Support cannot retrieve calls older than 90 days for most services.

Solution-focused remediation path

If networking is suspect, use Apple Wireless Diagnostics + Network Utility (or 'networkQuality' on macOS). It is the only tool that simulates the full ENI-to-ENI path including macOS PF firewall, Application Firewall, system extensions, and Content Filter 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.

When the failure happens in production but not in dev, do not just compare the IAM policy. Compare the Org Policy / RCP at the OU level, the permission boundary on the role, and the resource-based policy on the target. One of those is almost always different between accounts. Policy Intelligence recommendations bundles make this comparison routine.

Most Activity Monitor and Console failures fall into one of three buckets: IAM permission gap, networking path break (security group, NACL, or VPC endpoint policy), or service-limit / quota hit. Run that mental triage first - it covers around 80 percent of real-world cases. If the failure does not fit any of the three, it is likely a service-side regression worth opening a re:Post or support ticket for.

Automate this fix so you do not do it twice

Build a Self Service item with manual approval for risky fixes

For multi-step fixes that include a destructive action (Reset NVRAM, delete keychain, erase user data), publish the fix as a Self Service item in Jamf Pro or Kandji. The user clicks one button, the script runs, a notification confirms success. Couple it with a Jamf Pro approval workflow if your security model requires a second-person sign-off before any destructive step runs. The audit trail lives in the MDM change log with the requester and approver identity attached.

Add a Smart Group + webhook so you catch the next occurrence

The cheapest way to never see the same incident twice is a Jamf Pro Smart Group that watches for the symptom (specific extension attribute value, specific OS version, specific app build) and fires a webhook into Slack, PagerDuty, or a Jamf-API-driven Lambda when the count drifts above your normal baseline. For Activity Monitor and Console, the relevant extension attributes live under script-evaluated checks - defaults read outputs, system_profiler values, or a log show grep against macOS unified logging. Set thresholds against observed normal, not against round numbers.

Wire the fix into an MDM Configuration Profile for self-healing

If the underlying cause is a setting that drifts over time, do not script the fix repeatedly - bake it into a Configuration Profile that the MDM pushes down on every check-in. A Custom Settings payload writes to a specific preference domain; Jamf Pro, Kandji, Mosyle, and Intune all support this. The profile reasserts itself, so even if a user changes the setting locally, the MDM brings it back at the next sync (typically every 4 hours).

<!-- Custom Settings payload (excerpt) -->
<key>PayloadType</key>
<string>com.apple.ManagedClient.preferences</string>
<key>PayloadContent</key>
<dict> <key>com.apple.activity</key> <dict><key>Forced</key><array><dict><key>mcx_preference_settings</key> <dict><key>HardenedSetting</key><true/></dict></dict></array></dict>
</dict>

Things that bite

A subtle pitfall on Activity Monitor and Console is that the Settings on the device 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 Jamf Pro Smart Group + Webhook 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.

Repair sequence

• Watch for 24 to 48 hours. Activity Monitor + macOS unified logging + Jamf inventory reports can mask issues with cached health for 6 to 12 hours, especially Cloud CDN and Cloud DNS.
• Capture the new state in a runbook so the next person on call does not have to rediscover this. Push it to Confluence or your team wiki, not into Slack.

Safety, rollback, blast radius

• Test in a non-production account if your environment has Resource Manager and Organization Policy or Cloud Resource Manager (organizations, folders, projects). The cost of one sandbox account is cheaper than one rollback meeting.
• Export the existing config before changing it. Most Activity Monitor and Console resources support describe + export to JSON via CLI - capture that to source control before you start.
• Maintenance window discipline: if the change touches DNS, certificate rotation, or anything that emits TLS handshakes, line up a window with stakeholder notification, not a heroic mid-day swap.

FAQ

Related fixes

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

• log show command syntax
• Activity Monitor CPU tab columns explained
• Activity Monitor Disk tab I O
• Activity Monitor Energy tab impact ranking
• Activity Monitor Memory tab Memory Pressure
• Activity Monitor Network tab data sent received