Shipping faster with fewer incidents is a product problem, not just a tools problem. This article shows our platform engineering approach to improve delivery speed, stability and costs with clear SLAs.

Outcomes we optimize

• Lead time to production and change failure rate
• MTTR and on-call load
• Standardized delivery paths (golden paths) and developer productivity
• Infra cost per product line

Architecture and golden paths

• Opinionated templates for services (API, web, worker) with security, logging, metrics and tests.
• Standardized CI/CD with quality gates and automated previews.
• Paved road docs inside repos; discoverable examples and reuse.

Internal platform capabilities

• Self-service environments and databases with guardrails.
• Centralized secrets, identity and permissions.
• Observability out of the box (logs, traces, SLOs, error budgets).

Automation that pays for itself

• IaC and policy-as-code to control drift and compliance.
• Cost visibility with budgets/alerts per team.
• Automatic rollbacks and progressive delivery.

SLAs and governance

• Shared metrics and error budgets agreed with product.
• Rotations and playbooks that reduce cognitive load.
• Quarterly platform roadmap tied to product goals.

Case snapshot (anónimo)

• 6 squads, 40+ services: lead time -35%, incidents -42%, coste infra -18% en 6 meses.

Next steps

If you want a pragmatic platform engineering rollout, we can help.

• Get a free assessment → /freequote
• Talk to an engineer → /meet
• Start your platform → /contact