Skip to main content
Target Programs in Application Development

Target Programs in Application Development

$249.00
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
When you get access:
Course access is prepared after purchase and delivered via email
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.
Adding to cart… The item has been added

What does the Target Programs in Application Development course cover?

Target Programs in Application Development is covered here in 8 modules: Defining Target Program Scope and Alignment, Establishing Target Technology Standards, Governance and Compliance Frameworks and 5 more. The outline lists 48 specific topics, opening with selecting which business units or product lines will be governed under the target program based on strategic roadmap dependencies.

How do you approach Target Programs in Application Development step by step?

The work is sequenced in 8 stages. It starts with Defining Target Program Scope and Alignment, moves through Establishing Target Technology Standards and Governance and Compliance Frameworks, and ends at Performance, Scalability, and Cost Optimization. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Target Programs in Application Development course?

Module 1 is Defining Target Program Scope and Alignment. It works through selecting which business units or product lines will be governed under the target program based on strategic roadmap dependencies., mapping existing application portfolios to target program objectives to identify inclusion or exclusion criteria., establishing threshold criteria for technical debt remediation eligibility within the program. and 3 more.

What is target application architecture?

The Target Programs in Application Development outline covers this across resolving conflicts between enterprise architecture mandates and business unit autonomy in scope definition., implementing mandatory architecture review boards for all projects exceeding $250K in budget. and developing migration playbooks for refactoring monolithic applications to target architecture patterns..

How is the Target Programs in Application Development course delivered?

The Target Programs in Application Development course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Target Programs in Application Development course cost?

The Target Programs in Application Development course is $249 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Targeted Actions in Application Development, Application Development in Application Development, Web application development in Application Development, Target Development Efforts Toolkit.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the design and implementation of an enterprise-wide application development framework, comparable in scope to a multi-phase internal transformation program that integrates technology standardization, governance rigor, and operational discipline across development lifecycles.

Module 1: Defining Target Program Scope and Alignment

  • Selecting which business units or product lines will be governed under the target program based on strategic roadmap dependencies.
  • Mapping existing application portfolios to target program objectives to identify inclusion or exclusion criteria.
  • Establishing threshold criteria for technical debt remediation eligibility within the program.
  • Deciding whether greenfield development will adhere to target program standards by default.
  • Resolving conflicts between enterprise architecture mandates and business unit autonomy in scope definition.
  • Documenting exceptions for legacy systems that are out of scope due to end-of-life timelines.

Module 2: Establishing Target Technology Standards

  • Choosing primary runtime platforms (e.g., .NET vs. Java vs. Node.js) based on support lifecycle and team expertise.
  • Standardizing on containerization tooling (Docker, Podman) and orchestration platforms (Kubernetes, OpenShift).
  • Defining acceptable database engines and versions for new development and migration paths for existing systems.
  • Setting policies for open-source library approval and vulnerability scanning integration.
  • Requiring API design specifications (e.g., OpenAPI 3.0) as a gate for service registration.
  • Enforcing frontend framework constraints (e.g., React 18+, Angular 15+) across teams to reduce fragmentation.

Module 3: Governance and Compliance Frameworks

  • Implementing mandatory architecture review boards for all projects exceeding $250K in budget.
  • Integrating security compliance checks (e.g., OWASP ASVS) into CI/CD pipelines as non-negotiable gates.
  • Assigning data classification responsibilities to application owners for GDPR and CCPA alignment.
  • Requiring third-party audit trails for systems handling regulated data.
  • Defining escalation paths when teams bypass approved technology stacks for time-to-market reasons.
  • Tracking compliance deviation metrics and reporting them to executive steering committees quarterly.

Module 4: Integration and Interoperability Strategy

  • Selecting message brokers (e.g., Kafka, RabbitMQ, Azure Service Bus) based on throughput and durability requirements.
  • Standardizing on authentication protocols (OAuth 2.0, OpenID Connect) across all internal and external APIs.
  • Implementing service mesh (Istio, Linkerd) for cross-service observability and traffic control.
  • Defining payload formats (JSON Schema, Avro) and versioning strategies for event-driven systems.
  • Creating canonical data models for customer, product, and order domains to reduce mapping overhead.
  • Enforcing contract testing (Pact) between service providers and consumers before deployment.

Module 5: Development and Delivery Pipeline Design

  • Configuring standardized CI/CD templates in Jenkins, GitLab, or GitHub Actions for consistent build processes.
  • Implementing mandatory static code analysis (SonarQube, Checkmarx) with severity-based failure thresholds.
  • Setting branch protection rules and merge request requirements across all repositories.
  • Integrating infrastructure-as-code (Terraform, Pulumi) into deployment workflows with plan reviews.
  • Defining rollback procedures and circuit breaker conditions for production deployments.
  • Allocating dedicated staging environments that mirror production topology for final validation.

Module 6: Operational Readiness and Observability

  • Requiring structured logging (JSON format) with standardized field names across all services.
  • Setting up centralized monitoring (Prometheus, Datadog) with baseline alert thresholds for latency and error rates.
  • Implementing distributed tracing (Jaeger, OpenTelemetry) to diagnose cross-service performance bottlenecks.
  • Defining incident response roles and runbook ownership for each critical application.
  • Establishing log retention policies based on regulatory and troubleshooting needs.
  • Conducting mandatory chaos engineering tests for high-availability systems before go-live.

Module 7: Change Management and Adoption

  • Identifying internal champions in each development team to drive adoption of target program practices.
  • Creating sandbox environments where teams can test target stack configurations before commitment.
  • Developing migration playbooks for refactoring monolithic applications to target architecture patterns.
  • Tracking team velocity metrics before and after adoption to assess process impact.
  • Hosting biweekly tech forums to review implementation challenges and share solutions.
  • Adjusting program requirements based on feedback from pilot teams to improve feasibility.

Module 8: Performance, Scalability, and Cost Optimization

  • Setting auto-scaling policies based on CPU, memory, and request queue metrics in production.
  • Conducting load testing using production-like data volumes and traffic patterns.
  • Right-sizing cloud instances based on actual utilization data from monitoring tools.
  • Implementing feature flagging to decouple deployment from release and manage rollout risk.
  • Establishing cost allocation tags for cloud resources to assign spending to business units.
  • Optimizing database query performance through index reviews and query plan analysis in staging.
!