CerberusByte Independent consulting by César Marín Valios

Services

Consulting for infrastructure, security and delivery systems that need to work in the real world

CerberusByte helps teams improve operational foundations across cloud, hybrid and regulated environments through practical consulting in DevOps, DevSecOps, observability and platform engineering.

Cloud & Hybrid Infrastructure

Design, review and modernization of environments spanning cloud and on-prem systems.

  • Infrastructure architecture review
  • Hybrid cloud design
  • Infrastructure as Code foundations
  • Modernization planning
Good fit when your cloud and on-prem systems are inconsistent, hard to maintain or misaligned with how teams actually work

DevSecOps & Security

Security-aligned infrastructure and delivery practices for organizations that need stronger operational trust.

  • Secrets management
  • Secure delivery workflows
  • Posture improvement
  • Infrastructure hardening
Good fit when security feels like a bottleneck to delivery rather than a built-in property of your infrastructure

Platform Engineering & CI/CD

Delivery foundations that reduce friction and increase consistency for engineering teams.

  • CI/CD workflow design
  • Release pipeline improvement
  • Automation standards
  • Environment standardization
Good fit when deployments are manual, fragile or inconsistent — and no one fully owns the delivery process

Observability & Reliability

Operational visibility and reliability improvements for systems that need to be understood and supported under pressure.

  • Logging and metrics strategy
  • Dashboarding and alerting
  • Monitoring baseline
  • Incident-readiness improvements
Good fit when you react to incidents instead of detecting problems early, or can't explain what's happening in production

MLOps & Data Platforms

Infrastructure and operational workflows for machine learning and data-intensive systems.

  • ML delivery workflows
  • Environment consistency
  • Reproducibility and automation
  • Infrastructure for data/ML workloads
Good fit when ML models work in notebooks but fail to run consistently or reliably in production infrastructure

Discovery & Architecture Reviews

Structured sessions to map what exists, identify what is failing, and define the highest-leverage next step.

  • Current-state infrastructure mapping
  • Risk and bottleneck identification
  • Architecture review with written findings
  • Prioritized improvement roadmap
Good fit when you need clarity on where the real problem is before your team invests time in the wrong direction

Not sure which area is the real bottleneck?

Start with a discovery conversation and define the highest-leverage next step.

Get in touch