The compute that masks problems without solving them

Your platform isn't slow because it lacks compute. And deep down, you already know it.

15 years of running software in production taught me this: the most expensive technology in the world fails if there's no team operating it well.

I've seen flawlessly designed Azure platforms with 2-minute response times. I've seen exceptionally talented support teams burning out because nobody measured real capacity against demand. And I've seen something that happens more often than anyone admits in public.

When something fails, the first solution proposed is always adding compute. More instances. More memory. More capacity. The problem disappears... on the dashboard. But the cost goes up, and the underlying problem stays there, waiting for the next demand peak to reappear.

I've been in those meetings. I've seen how scaling infrastructure is politically easier than telling someone the problem is in the code, in the process, or in how the flow was designed from the start. Adding compute doesn't require hard conversations. Finding the root cause does.

My work has always lived in that middle ground: where architecture meets people, processes, and real business decisions.

After 15 years running mission-critical SaaS platforms — holding 99.95% uptime for financial institutions, leading teams of up to 20 people, and documenting over $310K in operational efficiencies — I'm opening a new stage.

Barajas Advisory was born from a simple conviction: companies don't need more technology. They need the technology they already have to work well, cost what it should, and be run by teams that know what they're doing.

I'll share here what I've learned — no textbook theory, just what really happens when things break at 2am and someone has to fix it.

If you lead operations, technology, or teams at a SaaS company and recognize any of these situations — stick around. This is for you.