Skip to main content
Technical Competence in Application Development

Technical Competence in Application Development

$249.00
When you get access:
Course access is prepared after purchase and delivered via email
Your guarantee:
30-day money-back guarantee — no questions asked
Who trusts this:
Trusted by professionals in 160+ countries
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
How you learn:
Self-paced • Lifetime updates
Adding to cart… The item has been added

This curriculum spans the technical decision-making and implementation practices found in multi-workshop architecture advisory programs and internal engineering capability builds across distributed systems, data governance, security integration, and operational resilience.

Module 1: Architecture Design and System Modularity

  • Selecting between monolithic and microservices architectures based on team size, deployment frequency, and domain complexity.
  • Defining bounded contexts in domain-driven design to align service boundaries with business capabilities.
  • Implementing API gateways to manage routing, authentication, and rate limiting across distributed services.
  • Choosing synchronous (REST, gRPC) versus asynchronous (message queues) communication patterns for inter-service interaction.
  • Evaluating the trade-offs of shared libraries versus duplicated code across services for common functionality.
  • Enforcing architectural consistency using architecture decision records (ADRs) and automated conformance checks in CI pipelines.

Module 2: Development Practices and Code Quality

  • Configuring static analysis tools (e.g., SonarQube, ESLint) with organization-specific rules and severity thresholds.
  • Implementing peer review standards, including mandatory checklist items and minimum reviewer counts per pull request.
  • Integrating automated code formatting (e.g., Prettier, Black) into pre-commit hooks to eliminate style debates.
  • Managing technical debt through quantified tracking and inclusion in sprint planning cycles.
  • Establishing branch strategies (e.g., trunk-based development vs. GitFlow) based on release cadence and team coordination needs.
  • Enforcing test coverage thresholds as part of merge-blocking CI gates without incentivizing low-value test inflation.

Module 3: Data Management and Persistence Strategy

  • Selecting relational, document, or columnar databases based on query patterns, consistency requirements, and scalability needs.
  • Designing schema evolution strategies for backward and forward compatibility in production systems.
  • Implementing connection pooling and query optimization to prevent database bottlenecks under load.
  • Managing data retention and archival policies in compliance with regulatory requirements and storage costs.
  • Choosing between application-level and database-level encryption for sensitive fields.
  • Coordinating distributed transactions using sagas when two-phase commit is not feasible across services.

Module 4: Security and Compliance Integration

  • Integrating secret management (e.g., HashiCorp Vault, AWS Secrets Manager) into deployment workflows.
  • Enforcing role-based access control (RBAC) at both API and data layers with least-privilege principles.
  • Conducting threat modeling during design phases using STRIDE or similar frameworks for high-risk features.
  • Embedding security scanning tools (SAST, DAST) into CI/CD pipelines with defined response protocols for findings.
  • Documenting data flows and processing activities to support GDPR, CCPA, or HIPAA compliance audits.
  • Managing third-party library risks through SBOM generation and vulnerability monitoring with automated alerts.

Module 5: CI/CD and Deployment Automation

  • Designing immutable deployment artifacts to ensure environment parity and reproducible builds.
  • Implementing blue-green or canary deployments with health checks and automated rollback triggers.
  • Managing infrastructure as code (IaC) using Terraform or CloudFormation with state locking and peer review.
  • Orchestrating multi-environment promotion with manual approval gates for production releases.
  • Versioning APIs and managing backward compatibility during concurrent deployment windows.
  • Isolating staging environments with production-like data while masking personally identifiable information (PII).

Module 6: Observability and Runtime Governance

  • Instrumenting applications with structured logging, metrics, and distributed tracing using OpenTelemetry.
  • Defining service-level objectives (SLOs) and error budgets to guide incident response and feature pacing.
  • Configuring alerting rules to minimize noise while ensuring critical system degradation is detected.
  • Correlating logs and traces across service boundaries using shared context identifiers (e.g., trace IDs).
  • Managing log retention periods based on operational needs, cost, and compliance requirements.
  • Conducting post-incident reviews with blameless analysis and tracking remediation actions to closure.

Module 7: Scalability and Performance Engineering

  • Designing stateless services to enable horizontal scaling behind load balancers.
  • Implementing caching strategies (e.g., Redis, CDN) with appropriate TTLs and cache-invalidation mechanisms.
  • Conducting load testing using production-like scenarios to identify bottlenecks before peak traffic events.
  • Optimizing database indexing and query plans based on actual execution patterns.
  • Evaluating the cost-performance trade-offs of vertical versus horizontal scaling for specific workloads.
  • Using feature flags to gradually enable resource-intensive functionality and monitor system impact.

Module 8: Dependency and Third-Party Service Management

  • Establishing service-level agreements (SLAs) and fallback strategies for critical third-party APIs.
  • Monitoring external service health and latency through synthetic transaction checks.
  • Managing API version dependencies and deprecation timelines in vendor integration points.
  • Isolating third-party integrations behind anti-corruption layers to reduce coupling.
  • Conducting vendor risk assessments for data residency, uptime history, and support responsiveness.
  • Implementing circuit breakers and retry logic with exponential backoff for resilient external calls.
!