Technical Assessment

Depending on the specific context of the application to be modernized, the following key dimensions can be evaluated: 

Architecture quality & compliance

• Type and style of architecture (monolith, modular, layered, service-oriented, microservices, event-driven).
• Degree of modularity and coupling (tight vs loose).
• Scalability of the system.
• Extensibility (ease of integrating new features).
• Integration points (APIs, middleware, data pipelines, external systems).

Codebase Quality

• Size, complexity, and structure of the codebase.
• Code quality metrics: readability, maintainability, duplication, cyclomatic complexity.
• Presence of technical debt and legacy components.
• Unit and integration test coverage.
• Use of coding standards, patterns, and best practices.

Infrastructure & Environment

• Current deployment model (on-prem, cloud, hybrid, containerized, serverless).
• CI/CD pipelines and level of automation.
• Consistency between environments (dev/test/staging/prod).
• Infrastructure as code adoption (Terraform, Ansible, Helm, etc.).
• Resource utilization (CPU, memory, storage, network).

Performance & Reliability

• Current system performance (latency, throughput, response time).
• Monitoring & observability practices (logs, metrics, traces).
• Reliability metrics (MTTR, MTBF, incident frequency).
• Stress, load, and capacity test results.
• Bottlenecks and single points of failure.

Security & Compliance

• Results of vulnerability scans and penetration tests.
• Security posture of the codebase (secure coding practices, static analysis).
• Third-party dependency risks (outdated libraries, licensing issues).
• Access control and secrets management.
• Compliance with industry standards (ISO 27001, OWASP, GDPR, HIPAA, etc.).

Operations & Maintainability Assessment

• Deployment frequency, lead time for changes, change failure rate.
• Incident management and recovery practices.
• Monitoring, alerting, and observability maturity.
• Documentation quality (code, operations, architecture).
• Knowledge retention in the team.