Express courier. Direct.
Also overnight.
x25pronto Switzerland takes goods direct to the destination. Small loads go by car. Larger loads go by van or Van XL. Direct, express and overnight trips run Monday to Sunday when a slot is free. Free times are shown in the booking calendar. This keeps the plan clear.
Monitoring and SLAs: How to monitor API health for delivery data
Learn which metrics, alerts and dashboards to use to monitor delivery-data APIs and how to detect and escalate SLA breaches clearly.
Quick answer
Short answer: Track availability, latency, error rates and throughput; set alerts for thresholds and SLO breaches; use dashboards for context; define escalation steps for SLA violations. This lets you spot issues early and act decisively.
Why API health matters for delivery data
Delivery-data APIs connect shop, WMS, drivers and recipients. If the API slows or fails, deliveries stall. Monitoring API health preserves visibility, delivery timing and customer communication in Swiss hubs such as Zürich, Basel and Geneva.
Core metrics to measure
1) Availability (uptime): share of time the API returns successful responses. 2) Latency: P95 and P99 response times for real-time status updates. 3) Error rate: percentage of failed responses (4xx/5xx) per minute. 4) Throughput: requests per second or minute for peak planning. 5) Data integrity: sanity checks (missing tracking IDs, incorrect timestamps).
Define SLOs, SLAs and thresholds
Write SLOs as measurable targets, e.g. 99.9% monthly availability or P95 latency < 300 ms. SLAs are contractual and describe remedies on breach. Set thresholds for alerts: warning (e.g. availability < 99.95%), critical (e.g. < 99.9% or error rate > 1%).
Alerting: when and who to notify
Use both time-based and rate-based alerts. Immediate alerts for critical failures (like a spike in 5xx errors) should reach pagers or phone on-call. Trend alerts warn of creeping issues (rising latency). Tie alerts to runbooks so first responders check logs, dependent services (DB, auth) and recent deploys.
Dashboards and logs: provide context
Build dashboards for roles: Ops (errors and latency), Product (throughput, business events), Support (recent requests by customer). Correlate metrics with linked logs and distributed traces for end-to-end clarity. Show SLA burn rate to track how much SLA budget is consumed.
Detecting and escalating SLA breaches
When an SLA is breached follow a clear flow: 1) Automatic detection via alerts. 2) Immediate measures: traffic reroute, enable cache, rollback. 3) Escalation tiers: on-call engineer → team lead → service owner → business contact. 4) Communication: internal warnings and public status updates or notifications to affected customers (e.g. delivery partners in Switzerland). Keep all steps in an incident playbook.
Frequently asked questions
Which tools are suitable for monitoring and alerting?
Common tools include Prometheus/Grafana for metrics, Grafana Alerting or Alertmanager, ELK/OpenSearch for logs and Jaeger/Tempo for tracing. Cloud platforms also offer managed services like AWS CloudWatch or Azure Monitor.
How often should metrics be polled?
Polling intervals of 10–30 seconds suit latency and error tracking. Less volatile metrics like throughput can use one-minute intervals. Use shorter intervals for critical paths.
How do I document escalations for SLA breaches?
Define escalation tiers, contact details, SLA thresholds and expected response times. Maintain runbooks with checklists and rehearse the process with incident drills.
How can I reduce false-positive alerts?
Combine multiple signals (e.g. error rate + latency) and use short stabilisation windows before firing critical alerts. Apply anomaly detection and rate-limits to reduce noise.