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Future-Proof Your Software with a Comprehensive Tech Audit

  • Writer: Max Honcharuk
    Max Honcharuk
  • Nov 19
  • 4 min read

Identify risks, eliminate inefficiencies, and get a clear roadmap to a scalable, secure, and maintainable product.




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

Architecture

  • Scalability,

  • service design,

  • data flow

Overcomplicated service structure, poor domain alignment

Security

  • Auth,

  • secrets,

  • API exposure

Credentials in code, missing authorization, SQL injection

Code Quality & Maintainability

  • Structure,

  • testing,

  • duplication

Tight coupling, no DI, code smells, missing tests

CI/CD & Cloud

  • Automation,

  • containerization,

  • rollback

Manual deployments, no PR-based review, no containers

Observability

  • Logging,

  • metrics,

  • tracing

Local logs only, no central monitoring

Development Process

  • Workflow,

  • communication,

  • WIP

Too many tickets in progress, no commit traceability

Every audit ends with a scored report and a clear, prioritized roadmap.


What We Found And What Recommended

Category

Issue

Risk / Impact

Recommended Fix

Security

Lack of authorization in backend services

Unauthorized access to internal functionality, potential data breaches

Enforce authorization on all internal APIs, use role/claims-based access control, add authentication middleware

Security

Credentials stored in appSettings.json

Leaked secrets, compliance violations

Move secrets to environment variables or managed secret stores

Security

Plain SQL without sanitization

SQL injection risk

Use parameterized queries or ORM (e.g., EF Core with proper config)

Security

Publicly exposed APIs without protection

Unauthorized access, data leakage

Secure endpoints with auth, API keys, and rate limiting

Security

Hardcoded tokens and URLs

Secrets leakage, misconfiguration between environments

Centralize configuration with environment-specific settings

CI/CD

No code review or PR policy

Instability, regression risk

Enforce branch protection and mandatory review pipelines

CI/CD

Manual deployments, no containers

High deployment errors, no rollback

Introduce Docker + CI/CD pipelines (GitHub Actions / Azure DevOps)

CI/CD

Commented-out code in production

Confusion, technical debt

Add CI linter rules; reject unclean PRs

Code Quality

Tight coupling, no DI

Hard to test and refactor

Introduce dependency injection (.NET Core DI container)

Code Quality

Deep nesting, verbose logging

Error-prone, unreadable

Apply clean code principles, simplify structure

Code Quality

Redundant logic across workers

Hard maintenance, duplicated bugs

Extract shared libraries/services

Architecture

Infinite loop in worker (commented delay)

CPU exhaustion, runaway jobs

Replace with scheduled execution (Cron / Hangfire)

Architecture

Async calls blocked via .Result

Deadlocks in ASP.NET apps

Always use await

Architecture

Missing error handling

Resource leaks, crashes

Use try/catch + resilience library (Polly)

Architecture

Manual HttpClient creation

Socket exhaustion, poor performance

Use IHttpClientFactory or AddHttpClient extension

Architecture

Mixed ORM and raw SQL

Inconsistent data access

Choose one approach or separate layers

Observability

Logs not sent to ElasticSearch

No production visibility

Implement logging abstraction (Serilog) with env-based config

Observability

Hardcoded log destinations

Broken logging in prod

Move 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 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 Consider 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.

Schedule Your Tech Audit Today We’ll analyze your architecture, codebase, and delivery workflows — and send you a tailored improvement roadmap in 2–3 weeks.





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. Let’s uncover and fix your system’s hidden risks.

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