32
performance signals
8
automated checks
0
prepared fixes
0
proven workflows
7
API operations
- Overview
- Monitor (32)
- Audit (8)
- Automate
What you can achieve
Capabilities are grouped around merchant outcomes, not API terminology.Protect revenue
Find failures, leaks and risks before they cost sales.
Run operations
Monitor orders, fulfilment, delivery and settlement.
Control risk and change
Keep tracking, access and change under governed control.
Customer experience
Find storefront, speed, accessibility and journey problems.
From connection to verified outcome
The controlled sequence every capability follows. Nothing changes a connected system without the approval step.1
Connect
Authorise the source. Scopes are shown before access is granted.
2
Monitor
Watch the signals against your own baselines, not universal defaults.
3
Detect
Run checks and gather evidence specific to your store.
4
Recommend
Explain what happened, why it matters and the proposed action.
5
Approve
You review scope, risk and reversibility before anything changes.
6
Execute
Apply through governed connector operations.
7
Verify
Confirm the intended result and keep the receipt.
Monitor performance
32 performance signals. Open an outcome to see its signals and how each one alerts. Read-only operations do not modify the connected system.Run operations (15 signals)
Run operations (15 signals)
| Signal | Alert behaviour | What it tracks |
|---|---|---|
| Active Replicas | Watch only | Description pending editorial review; the signal is live. |
| ClickHouse Health Score | Merchant rule | Description pending editorial review; the signal is live. |
| Connection Pool Saturation % | Alert band 70 / 90 | Description pending editorial review; the signal is live. |
| Connection Pool at >90% Saturation | Alert band 70 / 90 | Alerts for Connection Pool at >90% Saturation. |
| Connections In Use | Watch only | Description pending editorial review; the signal is live. |
| Database Disk Usage % | Alert band 70 / 90 | Description pending editorial review; the signal is live. |
| Inserts per Second (live) | Watch only | InsertedRows event rate from system.events delta. ClickHouse-distinctive. |
| Instance Uptime | Watch only | Description pending editorial review; the signal is live. |
| Last Successful Backup (hours ago) | Alert band 24 / 72 | Last BACKUP TO S3 / Disk run from system.backups. ClickHouse Cloud: managed snapshots. |
| Merges In Progress | Watch only | Merge metric from system.metrics. Sustained high = ingest outpacing merge throughput. |
| Partition Count (Top 10 Tables) | Merchant rule | From system.parts GROUP BY table COUNT DISTINCT partition_id. |
| Queries per Second (live) | Watch only | Description pending editorial review; the signal is live. |
| Replication Lag (absolute_delay) | Alert band 1 / 10 | From system.replicas.absolute_delay. |
| Replication Queue Size (Top Tables) | Merchant rule | From system.replicas.queue_size. ClickHouse-distinctive , pending replication tasks per table. |
| UncompressedCache Hit Rate % | Alert band 95 / 80 | UncompressedCacheHits / (UncompressedCacheHits + UncompressedCacheMisses) from system.events. |
Protect revenue (6 signals)
Protect revenue (6 signals)
| Signal | Alert behaviour | What it tracks |
|---|---|---|
| Active Parts (Top 10 Tables) | Merchant rule | From system.parts WHERE active. >1000 parts on a single table = merge backlog risk; can trigger Too Many Parts error. |
| ClickHouse Event Ingest vs Ecom Orders | Merchant rule | ClickHouse-distinctive XC , event ingest typically tracks order/click rate; divergence = pipeline broken. |
| ClickHouse Pool Saturation vs Traffic Burst | Alert band 70 / 90 | ClickHouse Pool Saturation vs Traffic Burst, broken down by row. |
| ClickHouse QPS Spike vs Ecom Order Rate | Merchant rule | Description pending editorial review; the signal is live. |
| Failed Queries (24h) | Alert band 20 / 100 | query_log WHERE type=‘ExceptionWhileProcessing’. |
| Slow Analytics Queries During Checkout Window | Merchant rule | Slow Analytics Queries During Checkout Window, broken down by row. |
Control risk and change (6 signals)
Control risk and change (6 signals)
| Signal | Alert behaviour | What it tracks |
|---|---|---|
| MEMORY_LIMIT_EXCEEDED (24h) | Merchant rule | Query killed by max_memory_usage. Spike = a single heavy query swamping the instance. |
| Memory Usage % | Merchant rule | MemoryTracking metric from system.metrics / max_server_memory. |
| Query Error Rate % | Alert band 0.1 / 1 | Description pending editorial review; the signal is live. |
| Query Error Rate Spike (>1% in 5m) | Alert band 0.1 / 1 | Alerts for Query Error Rate Spike (>1% in 5m). |
| Too Many Parts Error or Parts Count >1000 on Any Table | Merchant rule | ClickHouse-distinctive , parts cap hit halts ingest on that table. |
| Too Many Parts Errors (24h) | Merchant rule | ClickHouse-distinctive , Code 252 errors from parts cap hit. Any >0 = ingest broken. |
Customer experience (5 signals)
Customer experience (5 signals)
| Signal | Alert behaviour | What it tracks |
|---|---|---|
| Query Latency p50 (ms) | Watch only | Description pending editorial review; the signal is live. |
| Query Latency p95 (ms) | Alert band 50 / 200 | From system.query_log percentile aggregation. |
| Query Latency p99 (ms) | Alert band 100 / 500 | Description pending editorial review; the signal is live. |
| Slow-Query Rate % | Alert band 1 / 5 | query_log entries with duration_ms > 1000 as % of total. |
| Top 10 Slowest Queries | Watch only | Top 10 Slowest Queries, broken down by row. |
Audit risks and opportunities
A fix status appears only where the action, inputs, approval, verification and recovery controls are mapped. Candidate remediations are never executable. Open a check for the detail.Connection pool saturation above 90%
Connection pool saturation above 90%
Severity critical · Outcome Customer experience · Fix status Report onlyAt 90% of the connection pool in use, the database is close to refusing new connections outright. Once it does, every part of the application that needs a fresh database connection, including new customer sessions and checkout, starts failing, not just slowing down.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-CAP-001Disk usage above 90%
Disk usage above 90%
Severity critical · Outcome Run operations · Fix status Report onlyA database that runs out of disk stops accepting writes entirely, which for most stores means orders, inventory updates and customer records stop being saved, not just that the database gets slower. There is very little runway left at 90%.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-CAP-002Query error rate above 1% in last 5 minutes
Query error rate above 1% in last 5 minutes
Severity critical · Outcome Run operations · Fix status Report onlyMore than 1 in 100 queries is failing right now. Depending on what those queries do, this can mean orders not saving, pages failing to load product or customer data, or background jobs silently dropping work, and a rate this high in a 5-minute window is an active incident, not background noise.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-ERR-001Last successful backup older than 72 hours
Last successful backup older than 72 hours
Severity high · Outcome Run operations · Fix status Report onlyIf something goes wrong with this database right now, the most recent point it can be restored to is over 3 days old. Every order, customer record and inventory change since that backup would be unrecoverable in a real incident, not just delayed.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-BAK-001Replication lag above 10 seconds
Replication lag above 10 seconds
Severity high · Outcome Run operations · Fix status Report onlyAnything reading from the replica, reports, dashboards, or read traffic split off the primary for capacity, is now up to 10+ seconds stale. If the primary fails while lag is this high, the replica is also that far behind on failover, which is a bigger problem than the staleness alone.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-REP-001Slow-query rate above 5% of total
Slow-query rate above 5% of total
Severity high · Outcome Customer experience · Fix status Report onlyMore than 1 in 20 queries is landing in the slow bucket. That is frequent enough to be a pattern, not noise, and it means a meaningful share of every page load or job that touches this database is paying the slow-query cost, not just an unlucky occasional request.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-PERF-002p95 query latency above 200ms sustained 15m
p95 query latency above 200ms sustained 15m
Severity high · Outcome Customer experience · Fix status Report onlyOne in twenty queries against this database is taking over 200ms, sustained for at least 15 minutes, not a brief spike. Any storefront page, checkout step or order sync that depends on this database inherits that slowness directly, and a sustained p95 this high is usually already visible to customerVortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-PERF-001Buffer / cache hit rate below 80%
Buffer / cache hit rate below 80%
Severity medium · Outcome Run operations · Fix status Report onlyMore than 1 in 5 reads is missing the cache and going to disk instead, which is markedly slower. This shows up as everything the database does feeling incrementally heavier, rather than as one obvious failure.Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps.Reference:
DB-CACHE-001Build your own automated fixes
Turn any finding into an automated fix with a Vortex IQ workflow: over 13,000 read and write operations across more than 200 connectors are available as building blocks, with approval, verification and rollback on every change.Automate approved work
Vortex IQ is integrated with 7 read and 0 write operations across systembackups, systembuildoptions, systemevents, systemmetrics, systemparts, systemquerylogs on ClickHouse. Combine them with anything from the over 13,000 operations across more than 200 connectors to automate the work in your own words.Changes follow your configured approval policy: the target, proposed change, affected records, risk, reversibility and verification plan are shown before execution.Create a workflowReady to build your first ClickHouse workflow
Pick a trigger, add the operations above as steps, and every step that changes data pauses for your approval. Monitoring and audits are live now and can start any workflow you build.Browse the operations you can build with
Browse the operations you can build with
| Resource | Read operations | Write operations |
|---|---|---|
| systembackups | 1 | 0 |
| systembuildoptions | 1 | 0 |
| systemevents | 1 | 0 |
| systemmetrics | 1 | 0 |
| systemparts | 1 | 0 |
| systemquerylogs | 1 | 0 |
| systemreplicas | 1 | 0 |