scale-and-sre
Skill274 starsChanged 28 days agoMITView on GitHub
Implements production scale, reliability, and observability patterns for multi-tenant SaaS platforms.
In this repository53 other files it gives its agents.
- website/docs/authoring/agents.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- .github/skills/git-ape-onboarding/templates/copilot-instructions.mdCopilot instructions
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Use Architect multitenant solutions on Azure to assess shared-resource limits, tenant density, blast radius, fairness, and operational …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Scale and SRE
Applies day-2 engineering best practices for growth and stability.
Focus areas
- Horizontal scaling and partitioning strategy.
- Deployment-stamp capacity, tenant placement, and scale-out thresholds.
- Noisy-neighbor detection, resource governance, throttling, and per-tenant quotas.
- Availability, backup, and disaster recovery.
- SLO/SLI design and alerting model.
- Tenant-aware telemetry, health, usage, and cost attribution without leaking tenant data.
- Incident response and operational dashboards.
Use Architect multitenant solutions on Azure to assess shared-resource limits, tenant density, blast radius, fairness, and operational automation. Define both platform-wide and tenant-level service objectives where appropriate.
Deliverables
- SRE baseline for production operations.
- Capacity and resiliency validation checklist.
- Per-tenant observability, quota, metering, and cost-allocation model.
- Runbook set for common failure domains.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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Now do this for your own.
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