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Tech Audit case study

Max Honcharuk
Partner & Solution Architect at Radency
Nov 19, 2025

From MVP Chaos to a Scalable System

We helped a SaaS logistics platform uncover the technical risks that were blocking their growth. Once the issues became visible and structured, the team was able to fix them and prepare the product for real scale.

Client Background

A logistics SaaS platform was ready to grow, but the underlying system wasn't. Our audit revealed medium and critical issues across the core foundations: security, CI/CD, code quality, architecture, and observability. Mapping these weaknesses gave the client a clear plan to stabilize the product and move toward a scalable architecture.

Our Approach: Tech Audit Framework

We deep-dive into every layer of your system — from architecture to team workflows — to uncover the gaps that hold you back.

Our 6 Pillars

Pillar We Check For Common Findings
ArchitectureScalability, service design, data flowOvercomplicated service structure, poor domain alignment
SecurityAuth, secrets, API exposureCredentials in code, missing authorization, SQL injection
Code Quality & MaintainabilityStructure, testing, duplicationTight coupling, no DI, code smells, missing tests
CI/CD & CloudAutomation, containerization, rollbackManual deployments, no PR-based review, no containers
ObservabilityLogging, metrics, tracingLocal logs only, no central monitoring
Development ProcessWorkflow, communication, WIPToo many tickets in progress, no commit traceability
Every audit ends with a scored report and a clear, prioritized roadmap.

What We Found — and What We Recommended

Category Issue Risk / Impact Recommended Fix
SecurityLack of authorization in backend servicesUnauthorized access to internal functionality, potential data breachesEnforce authorization on all internal APIs, use role/claims-based access control, add authentication middleware
SecurityCredentials stored in appSettings.jsonLeaked secrets, compliance violationsMove secrets to environment variables or managed secret stores
SecurityPlain SQL without sanitizationSQL injection riskUse parameterized queries or ORM (e.g., EF Core with proper config)
SecurityPublicly exposed APIs without protectionUnauthorized access, data leakageSecure endpoints with auth, API keys, and rate limiting
SecurityHardcoded tokens and URLsSecrets leakage, misconfiguration between environmentsCentralize configuration with environment-specific settings
CI/CDNo code review or PR policyInstability, regression riskEnforce branch protection and mandatory review pipelines
CI/CDManual deployments, no containersHigh deployment errors, no rollbackIntroduce Docker + CI/CD pipelines (GitHub Actions / Azure DevOps)
CI/CDCommented-out code in productionConfusion, technical debtAdd CI linter rules; reject unclean PRs
Code QualityTight coupling, no DIHard to test and refactorIntroduce dependency injection (.NET Core DI container)
Code QualityDeep nesting, verbose loggingError-prone, unreadableApply clean code principles, simplify structure
Code QualityRedundant logic across workersHard maintenance, duplicated bugsExtract shared libraries/services
ArchitectureInfinite loop in worker (commented delay)CPU exhaustion, runaway jobsReplace with scheduled execution (Cron / Hangfire)
ArchitectureAsync calls blocked via .ResultDeadlocks in ASP.NET appsAlways use await
ArchitectureMissing error handlingResource leaks, crashesUse try/catch + resilience library (Polly)
ArchitectureManual HttpClient creationSocket exhaustion, poor performanceUse IHttpClientFactory or AddHttpClient extension
ArchitectureMixed ORM and raw SQLInconsistent data accessChoose one approach or separate layers
ObservabilityLogs not sent to ElasticSearchNo production visibilityImplement logging abstraction (Serilog) with env-based config
ObservabilityHardcoded log destinationsBroken logging in prodMove to env-specific app settings or variables

Our Strategy

We proposed a phased improvement plan:

  1. Redesign architecture to reduce coupling and simplify data flows.
  2. Introduce containerization and CI/CD pipelines for consistent, reliable releases.
  3. Secure the system through proper authorization, secret management, and parameterized queries.
  4. Centralize observability with ElasticSearch and Serilog.
  5. Modernize the frontend to a React SPA for easier scaling and better UX.

The Result

  • Predictable releases and simplified maintenance
  • Improved team productivity and code stability
  • Cloud-ready architecture that scales seamlessly

When to Consider a Tech Audit

As products scale, the first cracks appear beneath the surface. Releases take longer. Bugs multiply. Teams lose momentum.

Most product companies face the same hidden blockers:

  • Architectural bottlenecks are slowing down delivery.
  • Security gaps that risk data and compliance.
  • Manual deployments without rollback or monitoring.
  • Hard-to-maintain code with inconsistent standards.
  • Limited observability — no clear view of what breaks and why.

These are the silent costs of growth. A tech audit reveals them before they derail your roadmap.

Deliverables & Action Plan

Our tech audit is not limited to just finding issues. We also elaborate on an actionable plan to fix them and more. Thus, you get a roadmap for transformation.

In this case study, our deliverables included:

  • Full Audit Report with pillar-based scoring and recommendations
  • Action Plan prioritized by impact and effort
  • Architecture diagrams (current vs. proposed)
  • Security roadmap with quick wins and long-term safeguards
  • CI/CD & Cloud blueprint for automated, reliable deployments
  • Code review and maintainability guidelines

Why Choose Us

Every tech audit is conducted by one of our partners with 12+ years of software engineering experience.

Our audits combine engineering depth with a product mindset — so every recommendation is practical, measurable, and aligned with your goals.

What makes us different:

  • 50+ successful architecture and engineering audits
  • Proven delivery in complex multi-service environments
  • Deep expertise in .NET, cloud, DevOps, and modern frontends
  • Transparent collaboration with your team — from discovery to delivery

Trusted by fast-scaling product companies worldwide.

FAQ

How long does the audit take?

Usually 2–3 weeks, depending on the complexity of your system and team size.

What if we've already done a security audit?

We build on it — expanding the view to include architecture, maintainability, and CI/CD health.

Do you help with implementation?

Yes. Our delivery teams can help you refactor, migrate, and modernize after the audit.

Will it slow down our development?

No. We run the audit in parallel, with zero disruption to your current workflows.

Your product can't scale on fragile foundations. A focused tech audit is the fastest path to stronger architecture, cleaner code, and a more predictable delivery process.