Open-Source Observability · pyrra-dev

pyrra

Pyrra is an open-source platform that simplifies Service Level Objective (SLO) management for Prometheus-based monitoring. It provides a web UI, API, and Kubernetes Operator to define, track, and alert on SLOs with automatic burn-rate alerting and error budget visualization.

Talk to DEV.co Discuss Implementation

Source: GitHub — github.com/pyrra-dev/pyrra

1.5k

GitHub stars

148

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	pyrra-dev/pyrra
Owner	pyrra-dev
Primary language	Go
License	Apache-2.0 — OSI-approved
Stars	1.5k
Forks	148
Open issues	83
Latest release	v0.10.1 (2026-06-25)
Last updated	2026-07-02
Source	https://github.com/pyrra-dev/pyrra

What pyrra is

Go-based tool that generates Prometheus recording rules from YAML-defined SLOs and exposes them via a web UI with PromQL integration. Supports Kubernetes Operators, Docker/filesystem modes, Thanos backends, and Grafana dashboards; queries metrics through Prometheus HTTP API with optional basic auth, bearer tokens, and multi-tenant Mimir support.

Quickstart

Get the pyrra source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/pyrra-dev/pyrra.git2cd pyrra3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Kubernetes-native SLO management

Organizations running Prometheus Operator in Kubernetes can define SLOs as custom resources; Pyrra automatically generates PrometheusRule objects and visualizes error budgets and burn rates in a unified UI.

Standardized error budget tracking across teams

Multi-team setups benefit from centralized SLO definition via YAML, automatic multi-burn-rate alerting (3m, 15m, 30m, 1h, 3h, 12h, 2d), and searchable UI with label-based filtering to compare error budget consumption.

Docker/standalone deployments with local Prometheus

Smaller teams or non-Kubernetes deployments can run Pyrra alongside Prometheus using filesystem-based SLO configuration; generated recording rules are written to disk for Prometheus scrape or remote-write ingestion.

Implementation considerations

Requires Prometheus instance with HTTP API access; confirm network/firewall rules and authentication (basic auth or bearer token) before deployment.
SLO definitions are YAML-based and version-controlled; plan YAML schema validation, GitOps workflow, and change review process to avoid misconfigured recording rules.
Kubernetes deployments require Prometheus Operator or ConfigMap mode; non-Operator setups need manual Prometheus config updates to ingest generated recording rules.
Multi-burn-rate alerting generates 8 recording rules per SLO; confirm Prometheus cardinality limits and storage overhead, especially at scale (>100 SLOs).
UI caching and Thanos downsampling (5m, 1h) are built in; test query latency and accuracy tradeoffs with your Prometheus retention and cardinality.

When to avoid it — and what to weigh

Not using Prometheus for metrics collection — Pyrra is tightly coupled to Prometheus; it requires a running Prometheus instance to query and generate recording rules. Non-Prometheus stacks (e.g., Datadog, New Relic native) are not supported.
Need for complex, non-PromQL SLO definitions — SLOs are constrained to PromQL-compatible ratio and threshold models; if your SLO logic requires custom aggregation, external data, or non-metric signals, Pyrra's declarative model may be limiting.
Require RBAC or multi-tenancy at the SLO level — Pyrra does not expose explicit per-SLO access control in the documentation; if you need fine-grained RBAC or strong SLO-level isolation across tenants, requires review of current capabilities.
Production use without operational maturity review — While active (v0.10.1 as of June 2026), 83 open issues and lack of documented SLA/support model suggest pilots should validate stability, backup/restore, and upgrade procedures before critical dependencies.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license. Source code, binaries, and derivative works are available; no commercial restrictions documented in the license itself.

Apache-2.0 permits commercial use, modification, and distribution. However, no explicit commercial support model, SLA, or vendor backing is stated in provided materials. Organizations should clarify support expectations (community-only vs. commercial sponsor) before production deployment.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Pyrra does not implement SLO-level RBAC; all users with UI access see all SLOs. Prometheus access can be protected via basic auth or bearer token. TLS support for Prometheus client connections via `--tls-client-ca-file`. No audit logging, secrets management, or encryption-at-rest documented. Consider network-level isolation and Kubernetes NetworkPolicies for multi-tenant environments.

Alternatives to consider

Prometheus Alertmanager + custom PromQL rules

Minimal SLO abstraction; define burn-rate rules directly in Prometheus config. Lower overhead but requires manual rule tuning and no standardized UI/API for SLO browsing.

Commercial SLO platforms (Datadog SLO, New Relic SLO, Nobl9)

Vendor-managed SLO definition, multi-source metrics, and commercial support. Trade open-source flexibility and cost for managed UX and broader integration.

Sloth (SLO generator for Prometheus)

Lightweight Python-based SLO-to-recording-rules generator; no UI or API server. Simpler and more portable, but lacks visualization and team collaboration features.

Software development agency

Build on pyrra with DEV.co software developers

Explore Pyrra's live demo, review Kubernetes and Docker deployment examples, and evaluate fit for your error budget tracking and alerting strategy.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

prometheus sloth django-prometheus

Related on DEV.co

Explore the category and the services that help you build with it.

Open-Source Observability DevOps & Monitoring Cloud Deployment & Kubernetes API Development & SLO Integration Talk to DEV.co

pyrra FAQ

Can Pyrra run without Kubernetes?

Yes. Pyrra supports Docker and filesystem modes; SLOs are read from YAML files and recording rules are written to disk for Prometheus ingestion. No Kubernetes Operator required.

What does Pyrra generate from an SLO definition?

Prometheus recording rules for 2-week error budget and multi-burn-rates (3m to 2d windows). These are exposed as PrometheusRule CRDs (Kubernetes) or plain rule files (Docker/filesystem).

Does Pyrra send alerts, or just track error budgets?

Pyrra generates multi-burn-rate alert rules; Prometheus Alertmanager handles routing and notifications. Pyrra UI displays alert status but does not directly fire alerts.

Is there multi-tenancy support?

Mimir tenant IDs can be configured (`--mimir-tenant-ids`); SLO-level RBAC is not documented. Community-only project with no stated commercial support for advanced multi-tenancy scenarios.

Software development & web development with DEV.co

Need help beyond evaluating pyrra? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source observability integrations — and maintain them long-term.

Streamline SLO Management for Your Prometheus Stack

Explore Pyrra's live demo, review Kubernetes and Docker deployment examples, and evaluate fit for your error budget tracking and alerting strategy.

Talk to DEV.co Schedule a Consultation