Modular monolith or microservices
A modular monolith can provide clear boundaries with less operational complexity. Microservices are justified when scaling, team autonomy or independent deployment needs outweigh the cost of distributing the system.
Our approach
Every platform has its own context, constraints and objectives. We combine technical analysis, well-founded architectural decisions and incremental implementation to support controlled evolution.
We choose solutions that address real needs, rather than adopting patterns because they are fashionable.
A connected sequence
Five phases connect architectural judgement with execution. Their depth adapts to the system and agreed scope; review and learning continue throughout.
We start with business objectives and system behavior: technical constraints, team needs, operational dependencies and risks. Understanding the problem comes before choosing tools.
We review the existing architecture, technical debt, integrations and non-functional requirements to distinguish symptoms from the decisions that need attention.
A shared context and technical findings bounded by the agreed scope, rather than an exhaustive audit by default.
We compare alternatives, priorities and risks to define a viable path forward. The design establishes responsibility boundaries, data and integration contracts, and security and observability needs.
We consider domain modeling and the trade-offs between simplicity, cost and adaptability. DDD, Clean Architecture, CQRS and microservices are tools to use when the problem justifies them, not universal requirements.
Architectural options, prioritized opportunities and a roadmap suited to the constraints, where these deliverables form part of the engagement.
We turn decisions into incremental changes to backends, integrations and existing components. Each increment needs clear responsibilities and a way to verify its behavior.
Code review and unit and integration tests accompany implementation. We aim to preserve contracts and compatibility while replacing or refactoring well-defined parts.
Reviewable, verifiable increments, with documented decisions and explicit scope changes.
We integrate testing and validation into delivery to detect problems before promoting changes. Quality starts in design and continues throughout implementation.
Depending on scope and criticality, we incorporate Pull Request validation, static analysis, CI/CD quality gates and version-controlled infrastructure. Azure DevOps, Docker, Kubernetes, Helm or Terraform are considered where they benefit the environment.
Acceptance criteria and repeatable checks, with controls and approvals suited to each environment.
We prepare controlled releases and verify their results. Observability and evidence from real operation help identify incidents and guide the next improvement.
We connect operational signals, documentation and team learning with progressive modernization. Operational follow-up is defined within the scope of the engagement.
A foundation for evidence-led evolution, not a promise of managed operations, continuous support or an SLA.
Architectural judgement
We assess alternatives by their consequences for the business, the team and operations, rather than their popularity.
A modular monolith can provide clear boundaries with less operational complexity. Microservices are justified when scaling, team autonomy or independent deployment needs outweigh the cost of distributing the system.
Incremental modernization can preserve business capabilities and contain migration risk. A rewrite may be appropriate when limitations demand it, but it needs a rationale, a transition plan and explicit validation criteria.
We weigh cost, security, reliability and operational effort. Managed cloud services can simplify operations; Kubernetes is not the default destination and requires a clear need and the operational capacity to support it.
Infrastructure as Code, CI/CD and consistent environments make changes more repeatable. Quality gates and approvals should accompany automation according to its impact, without replacing technical judgement.
Quality throughout
Clear responsibilities, readable code and documented architectural decisions make a system easier to maintain and review. Practices are agreed according to scope and criticality.
Existing systems
Critical platforms combine business processes, integrations, technical debt and different generations of technology. Production constraints are part of the solution design.
We plan progressive improvements, compatibility and bounded migrations within a realistic roadmap. Each change needs verification: risk-free migrations, uninterrupted availability and guaranteed performance gains are not assumed.
Explore system modernizationCollaboration
The way we collaborate reflects the challenge and the responsibilities agreed with the existing team.
Helping understand systems, identify constraints and clarify architectural alternatives.
Contributing to architecture, backend engineering, integrations and modernization.
Collaborating on design decisions, quality and delivery practices while respecting the team's existing knowledge.
The team's professional experience covers multichannel platforms, industrial environments, planning systems and enterprise integration. Coordination between processes and systems is also relevant to supply-chain challenges.
The project selection includes experience gained before ForgeTech Consultants, S.L. was incorporated; it does not imply that all projects were contracts carried out by the company.
Explore professional experienceWe can help you understand current constraints, assess alternatives and define the next steps in your platform's evolution.