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Tech Stack Analyzer

Evaluate your technology stack's health across 6 critical dimensions and receive modernization recommendations tailored to your architecture.

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Architecture

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Architecture

How is your application structured?

1. What is your primary application architecture?

Monolithic — single codebase, tightly coupled components

Modular monolith or service-oriented architecture (SOA)

Microservices or event-driven architecture with clear domain boundaries

2. How do you manage API contracts and versioning?

No formal API standards — direct database access or ad-hoc endpoints

REST APIs with some documentation but inconsistent versioning

Contract-first (OpenAPI/GraphQL) with automated validation and versioned releases

3. How do you handle data storage and persistence?

Single relational database for everything, including caching and queuing

Primary database with separate cache (Redis) and some purpose-specific stores

Polyglot persistence — right database for each use case (OLTP, search, analytics, cache)

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Scalability

Can your stack handle growth?

4. How do you scale your application?

Vertical scaling only — bigger server when things get slow

Load-balanced web tier with manual horizontal scaling

Auto-scaling with containerization (K8s/ECS) and serverless for burst workloads

5. How do you handle background jobs and async processing?

Synchronous processing — everything happens in the request lifecycle

Basic job queues (Celery, Sidekiq, cron) for specific tasks

Event-driven with message brokers (Kafka, SQS) and stream processing

6. What is your caching strategy?

No caching — every request hits the database

Application-level caching with CDN for static assets

Multi-layer caching (CDN, reverse proxy, application, database) with invalidation strategies

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Security Posture

How hardened is your stack?

7. How do you handle authentication and authorization?

Custom auth with sessions — passwords stored with basic hashing

OAuth2/OIDC integration with role-based access control

Zero-trust with MFA, fine-grained RBAC/ABAC, and token rotation

8. How do you manage dependencies and supply-chain security?

Dependencies pinned loosely or not at all — no vulnerability scanning

Lock files committed, Dependabot/Renovate for updates, periodic audits

SBOM generation, automated CVE gating in CI, and private registry with scanning

9. How is data encrypted at rest and in transit?

HTTPS for public endpoints; no encryption at rest or for internal traffic

TLS everywhere with encrypted storage for sensitive data (PII, tokens)

End-to-end encryption, mTLS between services, and envelope encryption with KMS

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Developer Experience

How productive is your development workflow?

10. How long does it take a new developer to ship their first feature?

Weeks — complex local setup, tribal knowledge, and undocumented processes

Days — README guides and Docker Compose, with some manual setup steps

Hours — one-command dev environment (devcontainers, Nix) with automated onboarding

11. What is your testing strategy?

Minimal or no automated tests — manual QA before major releases

Unit tests and some integration tests running in CI

Testing pyramid (unit, integration, E2E) with contract testing and coverage gates

12. How do you manage code quality?

No linters, formatters, or mandatory code review

Linting and formatting in CI with peer-reviewed pull requests

Automated quality gates (SonarQube, CodeClimate), architectural fitness functions, and ADRs

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Observability

Can you understand your system's behavior?

13. What level of logging do you have?

Console logs stored locally — grep through files to debug

Centralized logging (ELK, CloudWatch) with structured log formats

Correlated logs with trace IDs, auto-instrumented with OpenTelemetry

14. Do you track application performance metrics?

No — we rely on user complaints to identify performance issues

Basic APM (response times, error rates) with alerting thresholds

Full observability with SLIs/SLOs, error budgets, and performance regression detection

15. How do you detect and diagnose production issues?

Reactively — users report issues, then we SSH into servers to investigate

Dashboards and alerts catch most issues; runbooks guide investigation

Anomaly detection, distributed tracing, and automated root-cause analysis

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Modernity & Future-Readiness

Is your stack positioned for the future?

16. How current are your core frameworks and languages?

Legacy — running on EOL or unsupported versions (e.g., Python 2, .NET Framework 4.x, PHP 5)

Current LTS versions but not actively tracking latest improvements

Latest stable releases with upgrade automation and compatibility testing

17. How cloud-native is your stack?

On-prem or lift-and-shift VMs — cloud is used as a hosting provider only

Using managed services (RDS, S3, Azure SQL) but app is still cloud-agnostic

Cloud-native with IaC, containers, managed services, and multi-region capability

18. Are you prepared for AI/ML integration?

No AI capabilities — no data pipelines or model infrastructure

Using third-party AI APIs (OpenAI, Azure AI) for specific features

ML platform with feature stores, model registry, and A/B testing for AI features

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🗺️ Modernization Roadmap

Ready to Modernize Your Stack?

Our architects can audit your technology stack, design a migration path, and implement modern patterns that scale with your business.

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