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Google Cloud Solutions. From idea to cloud architecture.
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Google Cloud Solutions. From idea to cloud architecture.
  • Architectural solutions | GCP

    Google Cloud Architecture Design: Managing Constraints Instead of Choosing Services

    There is a popular delusion among software engineers that every cloud project begins with selecting technology. The customer approves the budget, the requirements are briefly skimmed, and someone immediately opens the Google Cloud Console. The meeting quickly devolves into a familiar religious debate: Should we deploy on Cloud Run or Google Kubernetes Engine (GKE)? Is…

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  • Tutorial

    Migrating to Google Cloud: A Practical Guide for Teams Moving from AWS, Azure, or Oracle Cloud

    Cloud migration is often described as a technical project. In reality, it is a business transformation project supported by technology. Copying virtual machines, exporting databases, or deploying containers is usually the easiest part. The difficult part is redesigning an existing platform without disrupting production, increasing costs, or introducing unnecessary complexity. Many companies decide to move…

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  • Tutorial

    GCP FinOps: A Survival Guide to Google’s Financial Spaghetti

    How This Ecosystem Works When you open the Billing Console and see your monthly total, you are looking at a ready-made report built on top of a dozen internal mechanisms. Google does not provide a single “give me all my costs” API. Instead, data is scattered across several independent services, each answering its own narrow…

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  • AI

    Gemini Enterprise: How to Avoid Turning Your Department into an AI Circus

    Let’s establish a fundamental truth right out of the gate: Gemini Enterprise is not a magic wand, a silver bullet, or a digital messiah that will allow you to fire half your office and sail into the sunset. In the harsh reality of 2026, it is just another tool in your infrastructure stack. It is…

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  • Analytical systems | BigQuery

    The Machine Learning Solution: How We Built a Two-Tower ML Model to Fix Broken Web Analytics

    Any conversation about enterprise web analytics usually starts with beautiful dashboards. Marketers proudly present Return on Marketing Investment (ROMI) charts, claiming that every dollar spent brings three in return. But if you put on an engineer’s hard hat and go down into the data warehouse basement, you will see a massive, gaping black hole. Its…

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  • Algorithms

    The Lost Traffic Chronicles: Rescuing Marketing from the “(direct)” Swamp with Identity Stitching

    In modern Data Warehousing (DWH) architecture, web analytics logs are often a disjointed mess. Standard, out-of-the-box solutions (like GA4) operate on an append-only basis. They record events in the moment: if they don’t see a UTM tag, they log the source as (direct) and move on. The algorithm known as Retroactive User-Centric Last Non-Direct Click…

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  • BigQuery | Tutorial

    Migration Between Redshift and BigQuery: A One-Way Ticket or a Painful Return

    Conceptually, migrating between any analytical columnar databases (DWH) looks the same: export data to cloud storage → transfer files → load into the target database → validate. The basic ELT (Extract, Load, Transform) approach remains, but in practice, “the devil is in the details.” AWS and Google Cloud ecosystems have very different tools. Also, the…

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  • Analytical systems | BigQuery

    Analytics Firewall: How we searched for bots in BigQuery, burned some CPU, and saved the marketing team from a heart attack

    Analytics without strict traffic filtering is like trying to calculate airplane aerodynamics while pigeons fly in the wind tunnel. You seem to have data, and charts are drawn, but why does the Cost Per Action (CPA) go through the roof, and the conversion rate stays at the level of a statistical error? We decided to…

    Read More Analytics Firewall: How we searched for bots in BigQuery, burned some CPU, and saved the marketing team from a heart attackContinue

  • BigQuery

    How We Built a DataOps Dashboard for BigQuery and Saved Our Budget from Time Travel

    Cloud providers love two things: infinite scaling and analysts who don’t know how to use WHERE _PARTITIONTIME. BigQuery works like an all-you-can-eat buffet: you can grab a petabyte of data in a second, but the bill at the end of the month will make your CFO need a strong drink. The cloud does not forgive…

    Read More How We Built a DataOps Dashboard for BigQuery and Saved Our Budget from Time TravelContinue

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  • About
  • Google Cloud
    • GCP FinOps
    • GCP Data Engineering
    • GCP Architecture Assessment & Modernization Roadmap
    • BigQuery Migration & Architecture Audit
  • Solutions
    • Deterministic Synthetic Control Arm Engine: In-VPC Causal Inference and RWE Automation on Google Cloud
  • Our works
    • Data Observability Cases
    • Data Engineering Cases
    • Cloud FinOps Cases
    • Architecture Assessment Cases
  • Security & Compliance
  • Сontact