DevOps and IT teams

    External technical capacity when your internal team can't cover it.

    I'm Rafael Rey โ€” I execute, automate and integrate across infrastructure, pipelines, APIs and AI agents for IT teams, agencies and tech companies. Remote-first, operating in English, Italian and Spanish for international teams and clients.

    Technical integration

    When problems live between tools, teams, and responsibilities

    In IT environments, important failures are rarely only cloud, code, network, or process. They appear in the crossings: deployments without rollback, ownerless alerts, broken APIs, undocumented automation, or teams with no margin for critical changes.

    Deploys, rollback, and critical changes need a clear path before touching production.

    Observability and alerts should reduce noise and show action, not just dashboards.

    Cloud, on-prem, and hybrid environments need consistent access, backup, security, and operating criteria.

    APIs, integrations, and automation need error handling, logs, documentation, and ownership.

    AI agents and assisted flows should improve execution without creating unmaintainable black boxes.

    When working for third-party clients, technical coordination should protect the primary commercial relationship.

    AI for technical teams

    Turn AI into real operating capacity, not a fragile prompt collection

    AI can accelerate prototypes, scripts, integrations, documentation, log analysis, incident classification, runbooks, and agents. The critical point is designing boundaries, validation, and human responsibility.

    Operational reliability

    More speed only helps if operations can sustain it

    A team can deploy quickly and still remain fragile without rollback, useful metrics, clear logs, recovery procedures, and visible responsibilities. Reliability makes each change more understandable, reversible, and observable.

    How diagnosis becomes real improvement

    1. 1Understand context, responsibility, constraints, and available access.
    2. 2Separate operational urgency, technical debt, and automation opportunities.
    3. 3Define diagnosis, one-off execution, temporary reinforcement, or continuity.
    4. 4Execute with records, documentation, runbooks, and clear handoff.

    What the team should notice afterward

    Less friction around deployments, critical changes, and handoffs.
    Better visibility across incidents, alerts, and real dependencies.
    More useful automation without losing technical control.
    External capacity to execute internal or client projects.

    If your team knows what to improve but lacks capacity to execute, I can step in with focus

    The first step can be a concrete review of deployments, infrastructure, observability, automation, APIs, agents, documentation, and pending projects.

    Request an operational diagnosis