IT Consulting and Technical Audits
Professional technical audits, architecture selection, and IT department support. We help you make the right technology decisions and optimize your projects.
IT consulting is a key element of success for any technology project. An independent expert will take a fresh look at your code, architecture, and processes, identifying areas for improvement and overlooked threats. Experience across various projects allows us to identify problems faster and propose proven solutions.
We offer comprehensive support - from security and performance audits, through code review, to help with technology and architecture selection for new projects. We work with both IT teams and non-technical stakeholders, translating technical complexities into business language.
Technical Audits - What We Review
Comprehensive System Analysis
A technical audit is a detailed analysis of your application's code, architecture, security, and performance. We identify problems before they become expensive to solve.
→ Code Audit
- • Code quality and readability
- • Adherence to standards and best practices
- • Technical debt and its impact
- • Testing and test coverage
→ Security Audit
- • Application vulnerabilities (OWASP Top 10)
- • API and authentication security
- • Personal data protection (GDPR)
- • Encryption and secrets management
→ Performance Audit
- • Bottlenecks and slow queries
- • Database optimization
- • Caching and caching strategies
- • Load testing and scalability
→ Infrastructure Audit
- • Server and cloud configuration
- • CI/CD and deployment processes
- • Monitoring and alerts
- • Backup and disaster recovery
- • Azure cost optimization
After completing the audit, you receive a detailed report with prioritized issues and concrete recommendations for solutions. The report also includes cost and time estimates for implementing changes, allowing you to plan next steps.
Architecture Selection for Your Project
Choosing the right architecture is a crucial decision that impacts the entire project lifecycle. The wrong architecture can lead to scalability problems, make feature development difficult, or generate high maintenance costs. Learn more about this in our article on microservices vs monolith in 2025.
How Do We Choose the Right Architecture?
Business Requirements Analysis
We understand your business goals, business model, expected traffic, budget, and project timeline. There's no universal architecture - each project requires an individual approach.
Team Competency Assessment
The best architecture is one that your team can effectively develop and maintain. We consider available skills and the possibility of training the team.
Technology and Pattern Selection
We propose proven solutions: monoliths, microservices, serverless, event-driven architecture. Each pattern has its pros and cons - we match them to your needs.
Planning for the Future
Architecture must be flexible and allow for evolution. We plan for possible growth scenarios and business changes to avoid costly refactoring in the future.
Common Architectural Dilemmas:
Monolith vs Microservices: Start with a monolith if you're at an early stage. Microservices mean greater complexity and costs - they're worth reaching for only when justified by scale.
SQL vs NoSQL: The choice depends on data structure and requirements. Relational databases (PostgreSQL, SQL Server) are a safe choice for most projects. NoSQL works well at large scale and with flexible schemas.
Cloud vs On-premise: Cloud offers flexibility and scalability but can be more expensive with high traffic. On-premise gives more control but requires investment and an operations team.
IT Department Support
Not every company has specialized architects or seniors in every technology. We offer flexible IT department support - from short consultations, through code review, to long-term collaboration on key projects. We often encounter the need for legacy system modernization or .NET application migration.
For Startups and Small Companies
- ✓Help choosing tech stack for MVP
- ✓Verification of solutions proposed by agencies
- ✓Technical due diligence before investment
- ✓Recruiting first developers - assessment help
For Medium and Large Companies
- ✓Support in designing new systems
- ✓Code review for critical features
- ✓Process optimization and CI/CD pipelines
- ✓Team training - best practices and new technologies
"Often just a few hours of consultation are enough to avoid weeks of wrong decisions and costly corrections. An outside perspective helps spot problems that the internal team overlooks."
Code Review and Optimization
Code review isn't just about finding bugs - it's an opportunity for learning, experience exchange, and raising quality standards in the team. I analyze code for readability, performance, security, and compliance with best practices.
What Do I Focus On During Code Review?
Code Quality and Readability
Code is written once but read many times. I ensure code is understandable, well-named, and consistent with project conventions.
- • Variable, function, and class naming
- • Code structure and organization
- • Comments and documentation
Design Patterns and SOLID
I check whether code uses appropriate design patterns and adheres to SOLID principles, which facilitates its development and testing.
Security and Vulnerabilities
I identify potential security gaps: SQL injection, XSS, CSRF, unsecured APIs, personal data leaks.
Performance and Optimization
I look for inefficient queries, N+1 queries, unnecessary memory allocations, missing database indexes.
Tests and Test Coverage
I check whether critical functions are covered by unit and integration tests, and whether tests are meaningful and valuable.
We provide feedback in the form of detailed code comments, along with improvement suggestions and documentation references. Our goal is not criticism, but education and mutual learning.
Case Study: E-commerce System Audit and Optimization
Challenge
The client contacted me with an e-commerce performance problem. The site loaded in 8-12 seconds, resulting in a high bounce rate and a 40% drop in conversion.
Actions Taken
1. Database Audit
Identified missing indexes on frequently used columns, causing full table scans on every query. Added 8 key indexes.
2. Query Optimization
Refactored queries eliminating N+1 query problems. Applied eager loading and join optimization, reducing queries from 200+ to 15 per page.
3. Caching Implementation
Implemented Redis for catalog data and user sessions. Cache-aside strategy for products and categories with 1-hour TTL.
4. Frontend Optimization
Image lazy loading, CSS/JS minification, CDN implementation for static assets, Gzip/Brotli compression.
Results
The entire audit and implementation process took 2 weeks. The client saved on server costs (60% load reduction) and significantly improved user experience.
Need Consulting?
Contact us to discuss your project. We offer a free 30-minute consultation during which we'll assess your needs and propose the best solution.
References
- [1] Microsoft Azure - Official Documentation -https://learn.microsoft.com/en-us/azure/
- [2] Microsoft Learn - Azure Training Center -https://learn.microsoft.com/en-us/training/azure/
- [3] .NET - Official Microsoft Documentation -https://learn.microsoft.com/en-us/dotnet/
- [4] .NET Blog - Latest updates and best practices -https://devblogs.microsoft.com/dotnet/
- [5] Flexera State of the Cloud Report 2024 -https://www.flexera.com/blog/cloud/cloud-computing-trends-2024-state-of-the-cloud-report/
- [6] FinOps Foundation - Best Practices -https://www.finops.org/
- [7] Gartner - Cloud Computing Research -https://www.gartner.com/en/information-technology/insights/cloud-computing