Software & application architecture
Details
Align architecture with business stakes and on-the-ground constraints.
What you get
- Architecture framing in a few workshops with stakeholders and delivery teams
- Clear application map (domains, dependencies, flows)
- Documented standards: patterns, conventions, technical budgets
Sample missions
- Architecture assessment and diagnosis
- Target architecture definition and incremental roadmap
- ADR/RFC and architecture board facilitation
- Team coaching on patterns and design reviews
ADR / RFCC4 modelClean architectureEvent-drivenMicroservicesZero TrustSecNumCloud
Maintainable, tested code, production-ready.
What you get
- Clarified backlogs, refined stories
- Code reviewed, tested, instrumented, and secured
- Regular, predictable releases
- Quality tooling in place: linting, contract tests, security scans
- Shared coding standards and contribution guidelines
Sample missions
- Delivery reinforcement on a critical product
- Progressive migration to modular architecture
- Code reviews and quality pipelines setup
- Co-development and test practice coaching
TypeScript/Node.js.NET Core / C#Dart / FlutterReact / AngularPython/FastAPIPostgreSQLCI/CD GitLabOpenAPIValkey / Redis
Reliable, observable platforms ready for sensitive workloads.
What you get
- Validated platform architecture (security, network, storage, resilience)
- Deployment standards (charts, Kustomize, operators)
- Observability and alerting ready for run
Sample missions
- Designing a Kubernetes platform in a trusted cloud
- Industrializing deployments (Helm/Kustomize) and network policies
- Observability and SLOs tailored to critical services
- Security reviews (RBAC, secrets, image policy)
Kubernetes / OpenShift / Talos / K3sHelm / KustomizeCNI Calico/CiliumOPA / KyvernoIngress/NginxProxmox / XCP-ng / VMwareOPNsenseValkey / Redis
Predictable, auditable, reproducible pipelines.
What you get
- GitLab CI pipelines structured by stages and environments
- Reusable templates per team (job libraries)
- Documented release train or trunk-based with guardrails
- Fast feedback loop (<10 min) on branches and merges
- Industrialized GitOps practices: secrets, policies, promotions
Sample missions
- Standardizing multi-project GitLab CI pipelines
- Implementing GitOps (ArgoCD/Flux) with policies
- Securing the supply chain (signatures, scans)
- Accelerating tests and the feedback loop
GitLab CIArgoCD / FluxSupply-chain (Sigstore)Quality gatesFeature flagsCanary/Blue-GreenAnsible / Terraform / OpenTofuOpenBao/Vault
Measure what matters to act fast.
What you get
- SLOs and alerting based on user impact
- Runbooks ready for on-call
- Decision dashboards for product and ops
Sample missions
- SLI/SLO framing on a critical service
- APM + logs + traces with correlation
- Alert noise reduction and automated triage
- Workshops on product-oriented observability
PrometheusGrafanaLokiVictoriaMetrics / VictoriaLogsTempo / OTelTelegraf / VectorAlertmanager
Robust identity for sensitive environments.
What you get
- Clear IAM governance (roles, scopes, lifecycle)
- Solid SSO integrations (OIDC/SAML) and MFA
- Audit traces usable by security teams
Sample missions
- SSO/MFA integration on internal or SaaS apps
- Role modelling and delegation for regulated environments
- IAM security review and hardening
- Support on front/back implementation
OIDC / SAMLKeycloakAzure AD / EntraOpenFGAOpen Policy AgentmTLSSecret management
Reliable, governed, observable data.
What you get
- Data strategy and governance (quality, catalogs, access)
- Robust ingestion pipelines (ELT/ETL) and controlled flows
- Data observability and quality playbooks
Sample missions
- Data framing (use cases, data readiness, roadmap)
- Building ELT/ETL pipelines and supervising data quality
- Documentation and handover: playbooks, runbooks, DatOps
ETL/ELTData catalog / governanceData observabilityDatOpsSecurity / IAM
Useful models with traceability and guardrails.
What you get
- Framed AI use cases (value, risks, data)
- Models/LLMs deployed with observability and security
- Usage guides and runbooks for operations and cost control
Sample missions
- AI/ML framing (use cases, risks, data readiness)
- Deploying models/LLMs with monitoring, security, and cost control
- Documentation and handover: playbooks, runbooks, MLOps
MLOpsLLM + guardrailsModel observabilitySecurity / IAMCost controlPlaybooks / runbooks
