SleekView Charts for Advanced Cron Manager
SleekView Charts reads the WP-Cron schedule that Advanced Cron Manager surfaces, plus the run-log table its logging add-on writes, and renders event counts, hooks, runtime and drift as Number, Pie, Bar and Area cards.
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Cron events are data, not a screen full of rows
Advanced Cron Manager is the working operator UI for WP-Cron. It exposes the cron_array option as a sortable list, lets you trigger or delete events, and (with its logging add-on) records when each hook actually ran, how long it took and whether it errored. The list view is excellent for finding one event. It is not how anyone wants to read the shape of cron activity across a busy site.
SleekView Charts reads the same data. A Number card counts scheduled events. A Pie splits them by recurrence (hourly, twicedaily, daily, custom, single). A Bar groups runs by hook so the worst offenders surface as their own rows. An Area trends average runtime so a checkout cleanup task slowing month over month is visible weeks before it starts timing out.
The plugin's own admin stays where it is for one-off operations. The chart surface gives ops, performance engineers and agency teams the aggregate cron picture they need without scrolling a long list of timestamps.
Workflow
Turn Advanced Cron Manager's data into a dashboard
Read the cron schedule
Read the run log
Compose the chart cards
Save and share
Sample dashboard
Charts you can build from Advanced Cron Manager data
Scheduled events
Count
Events by recurrence
Count
group by recurrence
Runs per hook
Count
group by hook
Average runtime per day
Average(duration)
group by started_at
Comparison
Default Advanced Cron Manager admin vs SleekView Charts
Default cron list
- List view is excellent per event but does not summarise the schedule
- No visual split of events by recurrence or status
- Run history is searchable but not chartable as a trend
- Heavy hooks are easy to miss when scrolling rows
- No way to share a read-only cron-health snapshot outside the admin
SleekView Charts
- KPI card for total scheduled events on the install
- Pie split of events by recurrence
- Bar of runs per hook to surface the busiest tasks
- Area trend of average runtime for drift detection
- Same data behind the chart and table view, with shared filters
Features
What SleekView Charts gives you for Advanced Cron Manager
Schedule as a shape, not a list
Render cron_array as Number, Pie, Bar and Area cards. Ops sees the cadence and concentration of the schedule, not just one more row in a list.
Runtime drift detection
Trend average duration per day per hook. A slowing checkout cleanup task is visible weeks before it crosses the timeout and starts failing in production.
Share with the developer that owns the hook
Export runs behind a card as CSV or share the dashboard URL. Conversations with plugin developers come with real data instead of vague reports of slowness.
Audience
Who builds Advanced Cron Manager charts dashboards with SleekView
Site reliability
Pin a failed-runs view scoped to the last 24 hours so recurring cron errors stop hiding inside the broader run log.
Performance engineers
Watch the runtime trend per hook to catch a hook that is slowing month over month before it becomes the cause of a customer-facing incident.
Agency ops
Hand each client team a read-only cron-health dashboard. Recurring slow or failing hooks become a number anyone can quote rather than a screenshot during incident chat.
The bigger picture
Why a cron list needs a dashboard layer
WP-Cron is one of the most consequential parts of any production WordPress site, and Advanced Cron Manager is the cleanest UI on top of it. The plugin is built for per-event operations: inspect this hook, trigger that one, delete this stale schedule. What it does not natively do is summarise.
A site with a long-running install can have hundreds of scheduled events and tens of thousands of run-log rows, and the question is rarely "show me this one event". The questions are how concentrated the schedule is, which hook is running most often, which hooks are slowing down, which are failing. SleekView Charts answers those by reading the same cron_array and the same run-log and rendering it as KPI, pie, bar and trend cards.
The plugin's per-event surface stays exactly where it is. The aggregate view is the part that has been missing.
Questions
Common questions about SleekView Charts for Advanced Cron Manager
For event-count and recurrence charts, no. SleekView reads the cron_array option directly and that is enough for KPI, pie and per-hook bar cards. For runtime trends and failure splits, the logging add-on writes the run-log table that the Area and time-series cards read.
No. Reads come from the cron_array option (an autoloaded option WordPress already loads on every request) and the run-log table (an indexed custom table the add-on writes to). Both are cheap to query and never duplicated on the SleekView side.
Yes. Group by started_at on an Area or Line card with an Average aggregation on the duration column, then filter by hook to see one specific task. Useful for spotting a hook that started taking three times longer after a plugin upgrade.
Yes. Group by status on a Pie or Bar card to split runs into success and failure buckets. Combine with a filter for status = failed to scope the rest of the dashboard to errored runs only.
No. SleekView never modifies the cron_array option and never writes to the run-log table. It reads what the plugin has already produced. Triggering, deleting and rescheduling events still happens inside Advanced Cron Manager's own UI.
Yes. Add a filter for hook = woocommerce_cleanup_sessions (or any specific hook) and the whole dashboard narrows to that hook only. Pin one per hook the team cares about for a dedicated per-task cockpit.
No. Advanced Cron Manager stays the per-event operations UI. SleekView Charts gives the same data an aggregate surface so the questions a list cannot answer (cadence, concentration, drift, failure rate) become charts.
Yes. Any filtered set behind a chart card exports as CSV. Hand a developer the runs behind the runtime trend card for last month, scoped to one hook, and the conversation about why it slowed starts with real data.
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