Accel Data is the unified data observability platform that gives data engineering teams full visibility into their data pipelines — tracking freshness, volume, schema drift, and data quality anomalies across every dataset, table, and transformation in real time so teams can detect, triage, and resolve data incidents before they propagate into downstream dashboards and business decisions. When the Accel Data platform becomes unavailable, the observability coverage that prevents silent data quality failures goes dark: pipeline monitors stop collecting freshness metrics, anomaly detection rules stop firing, and the alert routing that notifies data engineers of broken pipelines stops delivering. When the Accel Data API degrades, automated integrations that query pipeline health status before allowing model training or report generation lose the signal they depend on for data gating. Vigilmon gives you external visibility into Accel Data's infrastructure: the platform application, REST API, and pipeline monitoring service, so you know the moment the observability layer that watches your data pipelines needs attention.
What You'll Build
- An HTTP monitor on the Accel Data platform application to detect availability failures
- A health-check monitor on the Accel Data REST API to catch backend degradation
- A monitor on the pipeline monitoring service to detect data observability coverage failures
- A monitor on your alert webhook receiver to verify Accel Data incident delivery is flowing
- An SSL certificate monitor for your Accel Data domain
- Alerting that distinguishes platform outages from API degradation and pipeline monitor failures
Prerequisites
- An Accel Data deployment (cloud-hosted SaaS or self-managed instance)
- The Accel Data platform accessible via HTTPS
- A webhook receiver endpoint configured to accept Accel Data pipeline alert notifications
- A free account at vigilmon.online
Step 1: Understand Accel Data's Service Architecture
Accel Data is built around several components that each serve a distinct role in the data observability workflow:
| Component | Default port | Role |
|---|---|---|
| Platform application | 443 (HTTPS) | Web UI for pipeline visibility, incident management, data quality dashboards, and alert configuration |
| REST API | 443 (HTTPS) | Programmatic access to pipeline metrics, data health status, and observability rule management |
| Pipeline monitor service | Internal | Continuously evaluates freshness, volume, schema, and quality checks against connected data sources |
| Anomaly detection engine | Internal | Runs ML-based anomaly detection models against pipeline metrics to identify unusual patterns |
| Alert dispatcher | Outbound | Delivers pipeline incident notifications to Slack, PagerDuty, webhook endpoints, and ticketing systems |
External monitoring focuses on the platform application, REST API, and pipeline monitor service — the components your data engineers, analytics engineers, and data platform teams interact with when triaging data incidents and reviewing pipeline health. Pipeline monitor service failures are the most dangerous because they create a blind spot: pipelines continue running but data quality failures are no longer detected.
Step 2: Monitor the Accel Data Platform Application
The Accel Data web application is the central interface for the entire data observability workflow: viewing pipeline health dashboards, triaging active data incidents, reviewing anomaly detection findings, configuring quality rules and SLAs, and managing integrations with connected data warehouses and transformation tools:
curl -I https://app.acceldata.io
# Returns HTTP 200 with HTML when the platform is healthy
- Log in to Vigilmon → Add Monitor → HTTP.
- URL:
https://app.acceldata.io(or your self-managed Accel Data instance URL). - Check interval: 60 seconds.
- Response timeout: 15 seconds.
- Expected status:
200. - Keyword:
Accel(present in the page title and application HTML). - Click Save.
This monitor catches:
- Accel Data application server failures or cloud infrastructure outages
- Failed platform upgrades that leave the application returning 5xx errors
- Load balancer or reverse proxy misconfigurations blocking access to the platform
- DNS resolution failures for the Accel Data application hostname
Alert sensitivity: Set to trigger after 1 consecutive failure. When Accel Data is unavailable, data engineers lose the central triage interface for active pipeline incidents, ongoing data quality failures become invisible, and the team reverts to reactive incident discovery — waiting for an analyst to notice a broken dashboard before investigation can begin.
Step 3: Monitor the Accel Data REST API
The Accel Data REST API enables programmatic integration between the observability platform and the rest of the data stack — orchestration tools like Airflow can query pipeline health before triggering downstream transformations, CI/CD pipelines can gate dbt model deployments on data quality checks passing, and custom monitoring dashboards can pull freshness and volume metrics from Accel Data for broader platform health displays:
curl https://app.acceldata.io/api/v1/health
# Returns: {"status": "healthy"} when the API backend is operational
- Add Monitor → HTTP.
- URL:
https://app.acceldata.io/api/v1/health. - Check interval: 60 seconds.
- Response timeout: 10 seconds.
- Expected status:
200. - Keyword:
healthy(present in healthy API responses). - Label:
Accel Data REST API. - Click Save.
Why monitor the API separately from the platform UI? The Accel Data web application may continue serving cached metric views from the frontend even when the API backend is degraded. A failing API means Airflow operators that call Accel Data before proceeding with downstream transformations receive errors and either skip the gate entirely or block indefinitely, dbt quality gates stop functioning, and any custom integrations that depend on programmatic access to pipeline health data go dark.
Step 4: Monitor the Pipeline Monitoring Service
Accel Data's pipeline monitoring service is the component that actually evaluates data health — querying connected warehouses and data sources on a schedule to check freshness windows, volume thresholds, schema expectations, and custom quality rules. When this service fails, no alerts fire for actual pipeline failures:
curl https://app.acceldata.io/api/v1/monitors/status
# Returns monitor status when the pipeline monitoring service is active
- Add Monitor → HTTP.
- URL:
https://app.acceldata.io/api/v1/monitors/status. - Check interval: 2 minutes.
- Response timeout: 15 seconds.
- Expected status:
200. - Keyword:
status(present in monitor service health responses). - Label:
Accel Data pipeline monitor service. - Click Save.
Why pipeline monitor service monitoring matters: A pipeline monitoring service failure is the most dangerous Accel Data outage because it creates a false sense of safety. The platform application continues loading, showing the last known-good state of pipeline metrics. Engineers looking at dashboards see no active incidents because the monitoring service has stopped checking — real pipeline failures accumulate silently until someone notices stale data in a downstream report.
Step 5: Monitor Your Alert Webhook Receiver
Accel Data delivers pipeline incident notifications — freshness violations, volume anomalies, schema drift alerts, data quality rule failures — to external systems via webhook integrations. If your webhook receiver becomes unavailable, data pipeline incident delivery fails silently: data engineers stop receiving PagerDuty pages for freshness violations, Slack channels that route pipeline alerts go quiet, and the on-call team loses the early-warning signal that normally triggers investigation before downstream consumers notice data problems:
curl https://your-webhook-receiver.example.com/health
# Returns: {"status": "ok"} when the receiver is up
- Add Monitor → HTTP.
- URL:
https://your-webhook-receiver.example.com/health. - Check interval: 2 minutes.
- Response timeout: 10 seconds.
- Expected status:
200. - Keyword:
ok. - Label:
Accel Data alert webhook receiver. - Click Save.
For PagerDuty integrations that route Accel Data pipeline incidents to on-call rotations, verify https://events.pagerduty.com/v2/health to confirm the PagerDuty events API is reachable. For Slack integrations used to alert on data freshness violations, verify the Slack API endpoint. For Accel Data deployments integrated with Jira Service Management for incident ticketing, monitor that service's health endpoint as well.
Step 6: Monitor SSL Certificates
Accel Data's platform application and REST API are accessed over HTTPS by data engineers, analytics engineers, and automated integration clients. An expired certificate blocks browser access to the platform, breaks Airflow operators and CI/CD scripts that call the Accel Data API over TLS, and causes integration clients to fail with certificate errors at the worst possible moment — when a data incident is actively being investigated:
openssl s_client -connect app.acceldata.io:443 2>/dev/null | openssl x509 -noout -dates
- Add Monitor → SSL Certificate.
- Domain:
app.acceldata.io(or your self-managed Accel Data hostname). - Alert when expiry is within: 30 days.
- Alert again: 14 days, 7 days, 3 days, 1 day.
- Click Save.
Self-managed deployment consideration: For Accel Data deployments hosted in a customer-managed cloud or on-premises environment, TLS certificates are managed by the customer's infrastructure team. Vigilmon's 30-day pre-expiry alert ensures the data platform team has sufficient runway to coordinate certificate renewal with the network security team before an expiry event blocks access to pipeline observability during an active data incident.
Step 7: Configure Alerting
In Vigilmon under Settings → Notifications, configure your alert channels:
| Monitor | Trigger | Action |
|---|---|---|
| Platform application | Non-200 or Accel missing | Check application server; review Accel Data platform status |
| REST API | Non-200 or healthy missing | API down; pipeline gating integrations and programmatic access failing |
| Pipeline monitor service | Non-200 or status missing | Observability coverage blind spot; pipeline failures will go undetected |
| Alert webhook receiver | Non-200 or ok missing | Pipeline incident notifications not delivering; check receiver deployment |
| SSL certificate | < 30 days to expiry | Renew certificate; coordinate with infra team for self-managed deployments |
Alert after: 1 consecutive failure for the application, API, and pipeline monitor service monitors. 2 consecutive failures for the webhook receiver to reduce noise from brief transient timeouts.
Common Accel Data Failure Modes and What Vigilmon Catches
| Scenario | Vigilmon monitor | |---|---| | Platform application failure | Application monitor fires; incident triage dashboard inaccessible | | REST API degradation | API monitor fires; pipeline gating and programmatic access fail | | Pipeline monitor service failure | Pipeline monitor fires; data quality failures go undetected silently | | Alert webhook receiver crash | Webhook monitor fires; on-call team stops receiving pipeline incident notifications | | TLS certificate expired | SSL monitor alerts at 30-day threshold; browser and API clients fail | | DNS misconfiguration | All monitors fire simultaneously | | Anomaly detection engine failure | API monitor may fire; ML-based anomaly alerts stop generating | | Warehouse connector failure | Pipeline freshness checks stall; metrics go stale without alerts | | Failed platform upgrade | Application monitor fires; platform returns 5xx errors | | Alert routing misconfiguration | Webhook monitor catches receiver issues; routing config must be verified separately |
Monitoring Data Observability Quality Itself (Beyond Infrastructure)
Vigilmon monitors Accel Data's infrastructure endpoints — the platform application, REST API, pipeline monitoring service, and your webhook receiver. The quality of observability coverage — which datasets have freshness monitors, which pipelines have volume rules, and whether anomaly detection thresholds are calibrated correctly — is a separate concern managed within Accel Data itself:
- Observability coverage reviews: Regularly audit which datasets and pipeline stages have active Accel Data monitors. A newly added pipeline that hasn't been instrumented yet is an unmonitored blind spot that infrastructure monitoring cannot catch.
- Threshold calibration: Anomaly detection thresholds that are too sensitive generate noise that causes engineers to ignore alerts; thresholds that are too loose miss genuine data quality failures. Review detection sensitivity after major pipeline changes.
- Incident retrospectives: After each data quality incident, review whether Accel Data detected the anomaly within the expected SLA window. Delayed detection indicates coverage or threshold issues that need adjustment at the observability rule level.
Vigilmon catches infrastructure-level failures — when Accel Data itself is down or its monitoring service has stopped running. Improving observability coverage, tuning detection thresholds, and expanding data quality rule coverage within a healthy Accel Data deployment requires work within Accel Data's observability configuration.
Accel Data is the observability layer that watches your data pipelines — when the platform goes down or its pipeline monitoring service stops running, data quality failures propagate silently into downstream reports and business decisions while engineers have no visibility into what is broken. Vigilmon gives you external visibility into Accel Data's own availability that doesn't depend on Accel Data self-reporting: platform uptime, API health, pipeline monitor service status, and SSL certificate validity, so you know the moment the data observability platform needs attention and can restore coverage before a real pipeline incident goes undetected.
Start monitoring Accel Data in under 5 minutes — register free at vigilmon.online.