Iván Palacios
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Private Cloud Infrastructure Consulting

Take Back Control
Of Your Cloud Infrastructure

I design, migrate, and operate private cloud infrastructure, including self-managed Kubernetes, for engineering teams who are done overpaying hyperscalers, without sacrificing reliability.

Live session

What I Offer

Pick a project, or let me handle it all.

Low commitment

Security & Infrastructure Audit

A prioritized report on the security, cost, and reliability gaps in your current setup, plus a walkthrough call. No remediation pressure.

Audit in progress

$ ./infra-audit.sh --scope pods,jobs,certs,network
checking pod health across namespaces ... 2 not running
api 0/1 CrashLoopBackOff 6 restarts
worker-queue 0/2 ImagePullBackOff -
checking job and cronjob completions ... ok
checking certificate expiry windows ... ok
scanning for open ports ... running

Core build

Self-Managed Kubernetes Setup

A production-ready cluster, hardened, monitored, and GitOps-managed, fully documented and handed off to your team.

Release

$ helm upgrade --install api ./chart -n production
Release "api" has been upgraded.
STATUS: deployed

Highest value

Private Cloud Migration

Move off AWS, GCP, or Azure onto private infrastructure you control, with a clear plan and validation at every step, so your infrastructure cost becomes predictable, never a monthly surprise.

Migration plan

$ terraform plan -out=migrate.tfplan
+ module.network.vpc
+ module.network.subnets[3]
+ module.compute.nodes[6]
+ module.storage.volumes[4]
+ module.load_balancer.frontend
+ module.dns.records[9]
Plan: 34 to add, 0 to change, 0 to destroy.
Saved the plan to: migrate.tfplan

How I Work

Three phases, no surprises.

  1. 01

    Audit

    Review your current infrastructure, map the security, cost, and reliability gaps, and agree on what to fix first.

  2. 02

    Build

    Implement the fixes and the target setup: hardened, documented, and validated at every step, with nothing hidden.

  3. 03

    Operate

    Keep it running with monitoring, upkeep, and on-call support, or hand it off cleanly to your team.

AI-Assisted Operations

Wire AI into how your team already ships.

The goal: offload the repetitive parts to AI, things like reviews, triage, and first drafts, so your team's job is to approve the change, not write it from scratch. These are examples; every workflow is built around how your team actually works.

Every pull request gets a second pair of eyes.

When a PR opens against main, an automated review runs against your repository, checking for inconsistencies, optimization gaps, security issues, and anti-patterns before a human looks at it.

PR review pipeline

Trigger

PR opened against main

Idle Instant

14 files changed

AI Agent

Automated review runs

Completed 14s

Scans the diff for risk, style, and correctness

Findings

2 issues flagged

Completed 3s

Unpinned base image, N+1 query in OrderService.list()

Output

Comment posted to PR #482

Completed 1s

Awaiting human approval

Ongoing Support

A ladder you can step onto anywhere.

Basic

Someone watching the lights: monitoring and upkeep, a few hours a month for when something breaks.

Standard

Popular

Backups and multi-node support layered on Basic, for infrastructure that's grown a few more moving parts.

Priority SRE

1-hour guaranteed response, 24/7 on-call, quarterly reviews, for teams where downtime means lost revenue.

From the Blog

Ready to stop firefighting?

Book a 30-minute call. We'll talk through what's going on and whether I'm the right fit.