Engineering, data, artificial intelligence and technology decisions.
22 articles found
Hyperscale AI training and inference clusters are hitting a brutal physical wall in Virginia, Dublin, and Frankfurt: gigawatts of firm, low-carbon electricity. Why clean-grid markets like Brazil hold a strategic trump card.
Cesar Zanis
Oct 14, 2026
Why legacy security gates fail in modern cloud-native teams, and how to automate secret scanning, supply-chain SBOMs, least-privilege IAM, and DevSecOps guardrails right inside CI/CD.
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Why splitting a mid-sized product into 40 microservices too early destroys team velocity and inflates cloud bills, and why the Modular Monolith is the smartest default architecture.
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Why 70%+ of flashy enterprise AI pilots stall in staging before reaching production, and how to capture real P&L returns using narrow agents, RAG over governed data, and Small Language Models.
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Why around 30% of enterprise cloud spend is pure waste, and how to cut AWS, Azure, and GCP bills in 90 days through right-sizing, storage tiering, NAT gateway architecture, and unit economics.
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Not all technical debt is bad, and “stopping features for six months to rewrite from scratch” is almost always fatal. How to manage Principal, Interest, and continuous refactoring.
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Dumping raw JSON and Parquet files into object storage is not a data strategy. Learn how the Medallion Architecture (Bronze, Silver, Gold), data contracts, and FinOps prevent the Data Swamp.
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Companies are sitting on mountains of data and doing very little with it. How to turn raw data into real decision leverage over the coming years.
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How to choose a process, test an AI agent with oversight, and measure whether it belongs in production.
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What 15 years across data, infrastructure and AI taught me about changing work, without pretending to predict the jobs of 2035.
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Learn how to implement FinOps practices to optimize cloud spend and maximize the ROI of your infrastructure.
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A five-stage diagnostic roadmap for uncovering delivery bottlenecks. DORA metrics serve as indicators, not a scorecard to rank teams.
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The future of cloud cost management goes far beyond slashing expenses. It is about investing with precision and tying spend to business value.
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DevOps isn't dying... it's evolving. What to expect from platform engineering practices in the coming years.
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What the next five years hold for technology professionals. Trends, risks, and opportunities from the trenches.
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The question every tech professional is asking. My honest answer based on what I'm seeing in practice.
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Code isn't just functionality. It's legacy. It's maintainability. It's respect for whoever comes next.
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Vanity metrics look great in presentations, but they don't change outcomes. Learn how to measure what actually drives action.
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Why automating inefficient processes only multiplies waste. Before scaling, fix the foundation.
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From spreadsheet chaos to strategic BI. A practical roadmap for turning data into business decisions.
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A practical method for designing software that accelerates the business today without becoming a maintenance nightmare tomorrow. Clean Architecture, SOLID, and DDD applied.
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Discover why Return on Investment (ROI) and unit economics must guide every engineering and management decision, and how a simple field-data system cut 20,000 liters of monthly diesel waste.
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