Key features
- SLO YAML spec — human-readable APAC SLO definitions without PromQL authoring
- Multi-mode deployment — CLI, Kubernetes CRD controller, GitHub Actions for APAC CI/CD
- Multi-window burn-rate — 5m/30m/1h/2h/6h/1d window APAC alert rule generation
- VictoriaMetrics support — vmrule output for APAC VictoriaMetrics deployments
- Grafana dashboard generation — companion APAC SLO dashboard JSON output
- APAC Prometheus Operator compatible — PrometheusRule output for K8s APAC clusters
Best for
- APAC platform teams wanting multiple Sloth deployment options — CLI, Kubernetes CRD, or GitHub Actions fits APAC teams at different Kubernetes adoption stages
- APAC teams using VictoriaMetrics instead of Prometheus — Sloth's vmrule output enables APAC SLO-as-code for VictoriaMetrics deployments that Pyrra doesn't support
- APAC GitOps teams generating Prometheus rules as pipeline artifacts — Sloth CLI + GitHub Actions generates APAC SLO rules committed to git and synced by APAC Argo CD or Flux
Limitations to know
- ! YAML verbosity for many APAC services — defining Sloth SLOs for 50+ APAC services produces significant APAC YAML volume; APAC teams managing many services need APAC SLO configuration organization discipline
- ! Prometheus ecosystem only — Sloth generates Prometheus-format rules; APAC teams using OpenTelemetry-native APAC observability backends need adaptation or alternative APAC SLO tooling
- ! No APAC built-in dashboard hosting — Sloth generates APAC Grafana JSON but requires APAC teams to import and maintain dashboards in their APAC Grafana instances separately
About Sloth
Sloth is an open-source SLO-as-code tool that generates Prometheus recording rules and multi-window burn-rate alert rules from simple YAML SLO definitions — where APAC platform teams write human-readable APAC SLO specifications (service name, SLO percentage, error query, latency query) in Sloth YAML format, and Sloth generates the complex Prometheus PromQL expressions, recording rules, and `ALERTS` rules required to implement multi-burn-rate SLO alerting per the Google SRE Workbook methodology.
Sloth's multi-deployment-mode design — where APAC teams use Sloth as a standalone CLI (`sloth generate -i apac-slos.yaml -o prometheus-rules/`), as a Kubernetes controller reconciling PrometheusServiceLevel CRDs, or as a GitHub Actions step generating APAC Prometheus rules in CI/CD pipelines — provides APAC engineering teams flexibility in how Sloth integrates into APAC infrastructure: GitOps teams generate and commit Prometheus rules to APAC git; Kubernetes-native teams use the CRD controller; APAC CI/CD-centric teams generate rules as pipeline artifacts.
Sloth's SLO YAML format — where APAC engineers define SLOs using a readable schema specifying the APAC service name, SLO objective percentage, Prometheus error metric query, and optional APAC custom labels — abstracts the complex multi-window burn-rate PromQL that Prometheus requires for correct APAC SLO alerting, reducing the risk of APAC alert rule errors from manually written burn-rate expressions.
Sloth's integration with APAC observability stacks — where Sloth-generated PrometheusRules integrate with APAC Prometheus Operator, VictoriaMetrics (via vmrule custom resources in APAC enterprise deployments), and Grafana (Sloth generates companion APAC Grafana dashboard JSON for SLO burn-rate visualization) — provides APAC platform teams a complete APAC SLO observability layer that integrates with existing APAC monitoring infrastructure.
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