sre-ops

Automate reliability metric collection, monitoring, and governance for Cloudflare Workers.

Updated Mar 28, 2026
One-click install
npx skills add https://github.com/cffrank/paperclip-skills-agents --skill sre-ops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sre-ops
Source: https://github.com/cffrank/paperclip-skills-agents/tree/main/skills/sre-ops
Command: npx skills add https://github.com/cffrank/paperclip-skills-agents --skill sre-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Site reliability engineering for Cloudflare Workers enables teams to measure, govern, and improve the reliability of edge workloads. It helps teams define clear SLOs, allocate error budgets, monitor latency and availability, respond consistently to incidents, and plan capacity for D1, R2, KV, and other edge resources.

Core Features & Use Cases

  • Define SLOs and error budgets for worker-based services to quantify reliability.
  • Monitor golden signals (latency, traffic, errors, saturation) with Worker analytics and alert rules.
  • Establish incident response runbooks, post-incident reviews, and toil reduction practices to maintain rapid recovery.
  • Plan capacity and resource usage for edge deployments, including D1, R2, and KV, and optimize deployments across regions.
  • Integrate with CI/CD and observability tooling to automate reliability governance.

Quick Start

Define your first SLO, set alert thresholds, and outline your incident playbook for a Cloudflare Workers service.

Frequently Asked Questions about sre-ops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I define SLOs and error budgets for Cloudflare Workers?

Defining SLOs and error budgets for Cloudflare Workers involves quantifying service reliability targets and allocating acceptable failure thresholds. This process automates reliability governance by measuring latency and availability against predefined limits across edge deployments.

What is the best way to monitor golden signals for edge deployments?

Monitoring golden signals for edge deployments is best achieved by tracking latency, traffic, errors, and saturation through Worker analytics. Configuring alert rules on these metrics ensures consistent visibility into Cloudflare Workers reliability and health.

Can I use this for capacity planning across D1, R2, and KV resources?

Yes, you can use this for capacity planning across D1, R2, and KV resources. It helps plan resource usage and optimize deployments across multiple regions to maintain reliable edge workload performance without saturation.

How do I establish incident response runbooks for Cloudflare Workers?

Establishing incident response runbooks for Cloudflare Workers requires outlining recovery procedures and post-incident review practices. This reduces operational toil and maintains rapid recovery during edge deployment failures or outages.

Does SRE reliability governance integrate with existing CI/CD and observability tooling?

SRE reliability governance integrates with CI/CD and observability tooling to automate the collection and monitoring of metrics. This integration streamlines alerting and incident response across the Workers ecosystem.