Cesar ZanisSoftware Architect & Fractional CTO

Practical engineering, data and AI.

Focused on real business outcomes.

Software architect and technology leader experienced in cloud, FinOps, DevOps, data, automation and digital products. Working from strategy to execution to lower costs, boost reliability, and simplify complex operations through the Czanix ecosystem.

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Cesar ZanisTechnical leadership and architecture by Cesar Zanis

Over 15 years solving real architecture, data and infrastructure problems.

Focus areas

Specialties that connect in practice.

I work across infrastructure, data and technical leadership. The mix depends on the problem, the team and the stage of the company.

Work in this area

Practical automation and agents in the real world.

AI agents and automation pipelines integrated with your company’s systems and data. Practical intelligence applied to daily operations, with secure architecture and measurable productivity.

AI AgentsLLMsRAGAutomation

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See how I work

Career track record

Real results from my trajectory. What changed in operations.

Real initiatives and high-complexity systems engineered or led throughout my technical and executive career.

Select company and client names are omitted for confidentiality. The numbers and outcomes below represent real initiatives I directly led or architected throughout my career.

Logistics operation

Reducing the cloud bill.

−49%in monthly cloud costs

Monthly cloud cost

Before: R$ 180k/month

After: R$ 92k/month

Deployment time

14 days40 minutes

Engineering decisions+

Context and constraints

Distributed AWS infrastructure with oversized ECS services and RDS instances provisioned for seasonal traffic peaks without predictive autoscaling. Monthly spend hovered at R$ 180k/month with over 60% idle capacity on regular business days. Zero downtime tolerance on the 24/7 routing pipeline.

Alternatives and decision

Rejected serverless rewrite due to schedule and migration risk. Implemented telemetry-driven rightsizing, Spot instances for fault-tolerant background workloads, automated off-hours shutdowns for staging environments, and Compute Savings Plans.

Baseline and measurement

Baseline tracked over the 3 months preceding the engagement (R$ 180k/month). Validated 90 days after stabilizing the new topology (R$ 92k/month).

Transferable lesson

Binding resource ownership to individual teams through mandatory pipeline tagging turned cloud cost management into a continuous engineering practice.

Ceramics manufacturer

A more reliable operation.

99.99%system availability

System availability

Before: 95%

After: 99.99%

Production failures

Frequent70% reduction

SaaS software company

Delivery reduced from 21 to 2 days.

2 daysdelivery lead time, down from 21 days

Delivery lead time

Before: 21 days

After: 2 days

Test coverage

30%85%

Healthcare cooperative

Analytics updated in real time.

R$ 140ksaved every month

Data infrastructure cost

Before: R$ 320k/month

After: R$ 180k/month

Analytics refresh

WeeklyReal time

Lessons straight from the field.

Project decisions, operational problems and what I learned while solving them.

View all articles

Career4 min

I made a mistake in production: how to communicate and help resolve it

A practical playbook for critical moments: how to contain immediate impact, communicate with facts without panic, and turn incidents into technical maturity.

Sep 24, 2026Read article →

AI Agents3 min

AI for Business: Bringing Agents into Operations

How to choose a process, test an AI agent with oversight, and measure whether it belongs in production.

Jul 25, 2026Read article →

Future3 min

Changing Technical Careers: What to Learn Now

What 15 years across data, infrastructure and AI taught me about changing work, without pretending to predict the jobs of 2035.

May 05, 2026Read article →

Recent publications7 published articles

Quick assessment

How much impact can your operation unlock?

Simulate direct cloud waste reduction and technical capacity that can be returned to product development.

Operational Parameters

Monthly Cloud Cost ($)

$50,000

Hours/month on repetitive manual tasks

40h

Team hourly rate ($)

$150/h

Estimated Annual Impact

Cloud Optimization (FinOps)$180,000

Estimated 30% reduction on idle resources and overprovisioning

Unlocked Engineering Capacity$72,000

Technical hours redirected toward core product features

Total Annual Savings$252,000

Projected ROI

527%estimated potential

Reference 12-month investment$40,200

Simulation premises

The simulation uses as a reference scenario a 30% reduction in idle and overprovisioned cloud resources and the conversion of manual hours into active engineering capacity. Reference investment covers implementation and governance across 12 months.

Validate diagnosis with Cesar

* Illustrative simulation based on real diagnostic scenarios. Final outcomes depend on infrastructure and architecture audits.

Facing an architecture or cloud cost challenge?
Let's solve it.

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