A practical way to define SLOs and error budgets, connect them to release decisions, and avoid reliability debates without data.

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SRE Error Budgets in Practice: Shipping Fast Without Burning Reliability

Error budgets are not a reporting exercise. They are a decision framework that balances feature velocity and reliability risk. If teams never change behavior when budget burns, SLOs are just dashboards.

Define the SLI and SLO Clearly #

For an API service:

SLI: successful requests / total valid requests.
SLO: 99.9% success over 30 days.

This implies a 0.1% error budget.

Example: Budget Math #

If monthly traffic is 10,000,000 valid requests:

Allowed failures = 10,000,000 * 0.001 = 10,000 requests.
If a bad release causes 4,500 failed requests, 45% of budget is consumed.

That number should immediately affect release policy.

Example: Release Policy Tied to Burn #

0-25% burn: normal release cadence.
25-60% burn: require extra review for risky changes.
60-100% burn: allow only reliability fixes.
100%+ burn: incident mode; freeze feature deploys.

Without this policy, budget tracking has no operational value.

Example Alerting Query (Prometheus style)#

promql.promql

(
  sum(rate(http_requests_total{status=~"5.."}[5m])) /
  sum(rate(http_requests_total[5m]))
) > 0.005

This detects a short-term burn rate above 0.5%, which can quickly consume a monthly budget.

Common Failure Modes #

SLOs defined per team, but incidents are cross-service.
No clear rule for planned maintenance windows.
No leadership agreement on freeze thresholds.
Product roadmap ignores reliability debt.

Implementation Order #

Start with one user-facing service and one availability SLO.
Socialize budget policy with engineering and product.
Automate burn-rate alerts before adding more metrics.
Tie postmortem actions to repeat budget violations.

Error budgets work when they change priorities in real time, not when they are reviewed once a quarter.

SRE Error Budgets in Practice: Shipping Fast Without Burning Reliability

SRE Error Budgets in Practice: Shipping Fast Without Burning Reliability

Define the SLI and SLO Clearly #

Example: Budget Math #

Example: Release Policy Tied to Burn #

Example Alerting Query (Prometheus style)#

Common Failure Modes #

Implementation Order #

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SRE Error Budgets in Practice: Shipping Fast Without Burning Reliability

Define the SLI and SLO Clearly#

Example: Budget Math#

Example: Release Policy Tied to Burn#

Example Alerting Query (Prometheus style)#

Common Failure Modes#

Implementation Order#

Stay Updated

Platform Engineering with Backstage: Build a Useful Developer Portal

Kubernetes Cost Optimization for Teams: FinOps Tactics That Actually Work

More from DevOps

Pipeline Observability — Why CI Failures Don't Trigger Alerts (And Should)

Burn-Rate Alerting — The SLO Discipline That Prevents Alert Fatigue

Supply Chain Security — SBOMs, Attestation, and What to Actually Verify

About Kiril Urbonas

You might have missed

AI Agents in DevOps: From Copilots to Autonomous Automation in 2025

Prompt Engineering Best Practices: Maximizing LLM Performance

Linux Performance Tuning for Containers and Kubernetes Nodes

Define the SLI and SLO Clearly #

Example: Budget Math #

Example: Release Policy Tied to Burn #

Common Failure Modes #

Implementation Order #