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Technical consulting for live environments

Linux, AWS, and DevOps for companies that need reliable infrastructure.

I investigate root cause, fix operational bottlenecks, and make the environment more stable, visible, and sustainable for the team.

Where I add value fastest

  • Linux servers that are slow, unstable, or missing a clear maintenance standard.
  • AWS environments that grew without a consistent security and operations foundation.
  • Fragile deployments, hard rollback, and too many manual steps close to production.
  • Lack of visibility through metrics, logs, and alerts that are actually useful to the team.

10+ years

in infrastructure, support, and operations

5 tracks

of clear commercial focus

100% remote

service across Brazil

Services

Five clear tracks to fix, structure, and sustain your operation

The goal is not to be overly generalist. It is to step in where operational risk, infrastructure, and technical execution truly matter together.

Linux administration and servers

Service

Diagnosis, hardening, updates, and stability work for critical environments.

When to call: Slow or unstable servers with weak operational confidence.

Target outcome: More predictability, less accumulated risk, and a stronger base to grow.

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AWS and cloud infrastructure

Service

Organization, security, and support for cloud workloads with an operational focus.

When to call: Cloud environments without a clear standard for security, organization, or operating cost.

Target outcome: Infrastructure that is clearer, safer, and easier to sustain without constant improvisation.

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Deployment and DevOps

Service

Docker, Nginx, SSL, pipelines, and production fixes without improvisation.

When to call: Fragile releases, difficult rollback, and too much dependence on manual steps.

Target outcome: More predictable deployment, less interruption, and faster troubleshooting.

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Monitoring and alerting

Service

Practical visibility through dashboards, logs, and alerts before failures become incidents.

When to call: The team discovers problems late and without reliable environmental signals.

Target outcome: More visibility, faster response, and fewer surprise incidents.

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Python automation and internal dashboards

Service

Operational tools and integrations to reduce manual work and rework.

When to call: Too many repetitive routines and operational knowledge trapped in key people.

Target outcome: Less manual effort and more consistency in day-to-day technical work.

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How I work

Less improvisation, more technical and operational clarity

The best delivery happens when investigation, execution, and communication move together.

01

Root-cause-oriented diagnosis

I do not work around the symptom. First I locate the technical origin and real impact before stacking temporary fixes.

02

Execution with operational judgment

Corrections need to work in the real environment, with controlled risk, observability, and continuity for the team.

03

Direct communication and concise documentation

Clients need to understand what was found, what was done, and what should still be prioritized next.

Fast entry points

Initial scopes that usually create value quickly

Good starting points when it does not yet make sense to open a much larger project.

Server Health Check

Technical audit with findings, risks, and a prioritized action plan.

Emergency Deployment Fix

Fast intervention to unblock releases, rollback, or a broken environment.

Monitoring Setup Sprint

Initial foundation of metrics, dashboards, and alerts that are useful in operations.

Context

Positioning and working style

This section still comes from content so the institutional layer stays easy to review and evolve.

Next step

If the environment is already running and you need someone to investigate and execute, that conversation can start now.

Send the current scenario, the technical impact, and what has already been tried. The more context, the more objective the next step can be.