SLA and SLO
This page describes the availability and performance targets DTM is engineered to, and how you can verify them from your own monitoring. Every Marketplace deployment includes support on a best-effort basis; these SLO targets are an engineering commitment you can measure, not a contractual SLA. A formal, SLA-backed support tier (with availability commitments and service credits) is available separately under a written agreement.
Service-level objectives
Section titled “Service-level objectives”Each objective is anchored to a metric you can scrape yourself (see observability), so you can hold the service to it independently.
| Objective | Target | Window |
|---|---|---|
| Authoritative DNS success (answers not SERVFAIL / REFUSED) | 99.95% | 30-day rolling |
| DNS query latency (p99) | < 10 ms | 30-day rolling |
| REST API success (non-5xx) | 99.9% | 30-day rolling |
| Replication convergence lag | < 60 s | 30-day rolling |
| Cluster availability (at least 2 alive members, multi-node) | 99.9% | 30-day rolling |
| Heartbeat liveness | every node at least every 60 s | continuous |
A 99.95% monthly DNS target is roughly 21 minutes of error budget per month; the 99.9% API target is roughly 43 minutes.
Verifying against your own metrics
Section titled “Verifying against your own metrics”The objectives map directly to exported dtm_* metrics:
- DNS success and latency:
dtm_dns_queries_totalanddtm_dns_query_duration_seconds. - API success:
dtm_api_requests_total. - Replication lag:
dtm_replication_last_sync_timestamp_seconds. - Cluster availability:
dtm_cluster_nodes. - Liveness:
dtm_heartbeat.
For alerting, a multi-window burn-rate approach works well: page on a fast burn of the error budget and open a ticket on a slower burn. Replication lag and DNS latency are simple above-threshold alerts.
Availability scope
Section titled “Availability scope”The service targets cover the DTM software: DNS availability, API availability, and replication behaviour. They do not cover the underlying Azure infrastructure (VMs, networking, storage), which is governed by Microsoft’s own SLAs, nor customer-side misconfiguration (for example NSG or VNet peering issues). DTM is designed to survive single-node failure without DNS downtime when run as a multi-node cluster.
Maintenance
Section titled “Maintenance”Planned software maintenance is performed via rolling upgrade, which is zero-downtime for DNS on a multi-node cluster. Non-emergency maintenance windows are announced in advance.
Support and the formal SLA
Section titled “Support and the formal SLA”Every Marketplace deployment includes support on a best-effort basis. A formal SLA, adding availability commitments, support-response targets by severity, and service credits, is a separate tier under a written agreement. To discuss it, contact [email protected].