⚙️ Lecture 2 (Part 2): Choosing a Solution and Optimizing 1C Architecture
Content: 2 Лекция Выбор решения и оптимизация архитектуры 1С Часть 2.pdf (8.18 MB)
Uploaded: 24.08.2026
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⚙️ **Optimization is not magic, but a strict discipline: measurement, analysis, refactoring, and control. The best architecture is one that is easy to maintain and scale.**
This lecture (11 pages long) is the second part of a fundamental course on 1C solution architecture. You will learn to compare technical solution options based on weighted criteria using the competitiveness index, understand the principles of modular architecture, master client-server interaction optimization, and become familiar with modern development standards for 2026.
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📦 **What´s inside the lecture (11 pages of Nebulae-style summary):**
• **Page 1. Title page.** Academic structure (State Budgetary Professional Educational Institution, specialty 09.02.07), instructors A.L. Popov and G.S. Mozyrskaya.
• **Page 2. Lecture outline and learning objectives.** 4 key blocks: workstation selection criteria, competitiveness index, modularity, and modern development standards.
• **Page 3. 🎯 Workstation configuration selection task.** Key technical parameters for 1C, ranked in descending order of importance: CPU (frequency, cores), RAM, reliability (mean time between failures, RAID), disk subsystem (NVMe SSD).
• **Page 4. 💸 Cost of ownership (TCO) assessment.** Three cost categories: C1 (development/implementation), C2 (licenses and equipment acquisition), C3 (maintenance, updates, electricity). Objective: minimum total cost with maximum compliance with requirements.
• **Page 5. 📊 Competitiveness index (CRI).** Formula: CRI = T / E, where T is the integral technical indicator and E is the integral economic indicator. Rule: Carm > 1 means the option is preferred.
• **Page 6. 🧮 Practical calculation example.** Step-by-step table: comparison of two workstation options by CPU, RAM, and reliability with weighting factors. Result: Carm = 1.28 → Option 2 is preferred.
• **Page 7. ⚙️ 1C architecture optimization.** Modularity: subsystems, common modules (DRY principle), external processing and reporting. Functionality expansion without changing the main configuration.
• **Page 8. 🚀 Client-server interaction optimization.** Minimization of network calls, use of virtual tables with selection parameters, background and scheduled jobs for heavy calculations.
• **Page 9. 🛠️ 🆕 Modern Development Standard 2026.** 1C:EDT based on Eclipse (refactoring, static analysis), Git instead of 1C repository (branching, code review), Vanessa Automation (BDD testing).
• **Page 10. 🤖 🆕 AI tools for optimization.** AI query analysis (search for missing indexes), sample code generation, AI code review before committing to Git. A ready-made prompt for 1C query optimization.
• **Page 11. 🎯 Summary and assignments.** 4 practical assignments for reinforcement, final quote, legal section.
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👤 **Who is this lecture for?**
• 🎓 Students majoring in 09.02.07 "Information Systems and Programming."
• 💼 1C developers transitioning from writing "working" code to creating scalable solutions.
• 🏢 System architects and team leads making decisions about hardware and architecture selection.
• 🚀 Freelancers who need to justify server and configuration choices to clients.
• 👨💻 1C administrators implementing modern development standards (EDT, Git, CI/CD).
---
✓ **What you´ll get:**
• **Solution selection methodology:** a ready-made formula for the Karma competitiveness index with a step-by-step calculation example—a tool for justifying your choice to management.
• **Understanding TCO:** three cost categories that must be considered when evaluating any IT project.
• **Principles of modular architecture:** subsystems, shared modules, external processing—how to write code that is easy to maintain.
• Performance optimization: Specific techniques for minimizing network calls and speeding up requests.
• Modern tools 2026: 1C:EDT, Git, Vanessa Automation — the industry standard for team development.
• AI accelerator: Ready-made prompts for request analysi
This lecture (11 pages long) is the second part of a fundamental course on 1C solution architecture. You will learn to compare technical solution options based on weighted criteria using the competitiveness index, understand the principles of modular architecture, master client-server interaction optimization, and become familiar with modern development standards for 2026.
---
📦 **What´s inside the lecture (11 pages of Nebulae-style summary):**
• **Page 1. Title page.** Academic structure (State Budgetary Professional Educational Institution, specialty 09.02.07), instructors A.L. Popov and G.S. Mozyrskaya.
• **Page 2. Lecture outline and learning objectives.** 4 key blocks: workstation selection criteria, competitiveness index, modularity, and modern development standards.
• **Page 3. 🎯 Workstation configuration selection task.** Key technical parameters for 1C, ranked in descending order of importance: CPU (frequency, cores), RAM, reliability (mean time between failures, RAID), disk subsystem (NVMe SSD).
• **Page 4. 💸 Cost of ownership (TCO) assessment.** Three cost categories: C1 (development/implementation), C2 (licenses and equipment acquisition), C3 (maintenance, updates, electricity). Objective: minimum total cost with maximum compliance with requirements.
• **Page 5. 📊 Competitiveness index (CRI).** Formula: CRI = T / E, where T is the integral technical indicator and E is the integral economic indicator. Rule: Carm > 1 means the option is preferred.
• **Page 6. 🧮 Practical calculation example.** Step-by-step table: comparison of two workstation options by CPU, RAM, and reliability with weighting factors. Result: Carm = 1.28 → Option 2 is preferred.
• **Page 7. ⚙️ 1C architecture optimization.** Modularity: subsystems, common modules (DRY principle), external processing and reporting. Functionality expansion without changing the main configuration.
• **Page 8. 🚀 Client-server interaction optimization.** Minimization of network calls, use of virtual tables with selection parameters, background and scheduled jobs for heavy calculations.
• **Page 9. 🛠️ 🆕 Modern Development Standard 2026.** 1C:EDT based on Eclipse (refactoring, static analysis), Git instead of 1C repository (branching, code review), Vanessa Automation (BDD testing).
• **Page 10. 🤖 🆕 AI tools for optimization.** AI query analysis (search for missing indexes), sample code generation, AI code review before committing to Git. A ready-made prompt for 1C query optimization.
• **Page 11. 🎯 Summary and assignments.** 4 practical assignments for reinforcement, final quote, legal section.
---
👤 **Who is this lecture for?**
• 🎓 Students majoring in 09.02.07 "Information Systems and Programming."
• 💼 1C developers transitioning from writing "working" code to creating scalable solutions.
• 🏢 System architects and team leads making decisions about hardware and architecture selection.
• 🚀 Freelancers who need to justify server and configuration choices to clients.
• 👨💻 1C administrators implementing modern development standards (EDT, Git, CI/CD).
---
✓ **What you´ll get:**
• **Solution selection methodology:** a ready-made formula for the Karma competitiveness index with a step-by-step calculation example—a tool for justifying your choice to management.
• **Understanding TCO:** three cost categories that must be considered when evaluating any IT project.
• **Principles of modular architecture:** subsystems, shared modules, external processing—how to write code that is easy to maintain.
• Performance optimization: Specific techniques for minimizing network calls and speeding up requests.
• Modern tools 2026: 1C:EDT, Git, Vanessa Automation — the industry standard for team development.
• AI accelerator: Ready-made prompts for request analysi
⚖️ **INTELLECTUAL PROPERTY:**
All lecture materials (structure, author’s formulations, methodology for calculating Karm, tables, practical assignments) are the original copyrighted work of Keeperlink, 2026. The lecture was created based on the educational materials of the additional professional education program (lecturers: Popov A. L., Mozyrskaya G. S.) with full authorial revision, **removal of outdated data and all references to WorldSkills**, and the addition of 50 % new practical content (methodology for calculating the competitiveness index, 1C:EDT, Git, Vanessa Automation, AI query optimization). The mention of the trademarks “1C”, “1C:Enterprise”, “Git”, “Eclipse”, “PostgreSQL”, “MS SQL”, “Oracle”, etc. is purely nominative in nature and is intended to describe compatibility; it does not imply affiliation with the rights holders (Article 1484 of the Civil Code of the Russian Federation). © Keeperlink, 2026. All rights reserved.
---
🚀 **Open the checklist on page 6 and calculate the competitiveness index for your next project!** Click “Buy” to get the second part of the fundamental lecture on the architecture of 1C solutions and master modern performance optimization tools.
All lecture materials (structure, author’s formulations, methodology for calculating Karm, tables, practical assignments) are the original copyrighted work of Keeperlink, 2026. The lecture was created based on the educational materials of the additional professional education program (lecturers: Popov A. L., Mozyrskaya G. S.) with full authorial revision, **removal of outdated data and all references to WorldSkills**, and the addition of 50 % new practical content (methodology for calculating the competitiveness index, 1C:EDT, Git, Vanessa Automation, AI query optimization). The mention of the trademarks “1C”, “1C:Enterprise”, “Git”, “Eclipse”, “PostgreSQL”, “MS SQL”, “Oracle”, etc. is purely nominative in nature and is intended to describe compatibility; it does not imply affiliation with the rights holders (Article 1484 of the Civil Code of the Russian Federation). © Keeperlink, 2026. All rights reserved.
---
🚀 **Open the checklist on page 6 and calculate the competitiveness index for your next project!** Click “Buy” to get the second part of the fundamental lecture on the architecture of 1C solutions and master modern performance optimization tools.
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