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New Development in Application Development

New Development in Application Development

$250.00
When you get access:
Course access is prepared after purchase and delivered via email
Your guarantee:
30-day money-back guarantee — no questions asked
How you learn:
Self-paced • Lifetime updates
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.
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What does the New Development in Application Development course cover?

New Development in Application Development is covered here in 8 modules: Modern Application Architectures and Design Patterns, Infrastructure as Code and Cloud-Native Deployment, Continuous Integration and Delivery at Scale and 5 more. The outline lists 48 specific topics, opening with selecting between monolithic, microservices, and serverless architectures based on team size, deployment frequency, and domain complexity.

How do you approach New Development in Application Development step by step?

The work is sequenced in 8 stages. It starts with Modern Application Architectures and Design Patterns, moves through Infrastructure as Code and Cloud-Native Deployment and Continuous Integration and Delivery at Scale, and ends at Evolutionary Practices and Technical Debt Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the New Development in Application Development course?

Module 1 is Modern Application Architectures and Design Patterns. It works through selecting between monolithic, microservices, and serverless architectures based on team size, deployment frequency, and domain complexity., implementing service boundaries using domain-driven design (DDD) to minimize coupling in distributed systems., deciding when to adopt event-driven communication over request-response patterns in inter-service communication. and 3 more.

How is the New Development in Application Development course delivered?

The New Development 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 New Development in Application Development course cost?

The New Development in Application Development course is $248 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: New Business Application Toolkit, New Market Opportunities in Application Development, Application Development in New Product Development Dataset, New Credit Application and Credit Management Kit.

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

This curriculum spans the technical and operational scope of a multi-quarter platform modernization initiative, covering the same depth of architectural decision-making, tool integration, and cross-team coordination seen in large-scale internal developer platform rollouts.

Module 1: Modern Application Architectures and Design Patterns

  • Selecting between monolithic, microservices, and serverless architectures based on team size, deployment frequency, and domain complexity.
  • Implementing service boundaries using domain-driven design (DDD) to minimize coupling in distributed systems.
  • Deciding when to adopt event-driven communication over request-response patterns in inter-service communication.
  • Designing for graceful degradation and circuit breaking in high-latency downstream service scenarios.
  • Managing schema evolution in shared message contracts across independently deployed services.
  • Integrating legacy systems using anti-corruption layers without introducing performance bottlenecks.

Module 2: Infrastructure as Code and Cloud-Native Deployment

  • Choosing between Terraform and cloud-native tools (e.g., AWS CloudFormation, Azure Bicep) for multi-cloud consistency vs. feature parity.
  • Structuring IaC modules to support environment parity while isolating secrets and region-specific configurations.
  • Implementing blue-green deployments with automated traffic shifting and rollback triggers in Kubernetes environments.
  • Managing state file locking and collaboration in shared Terraform configurations across multiple teams.
  • Enforcing cloud security baselines through policy-as-code tools like Open Policy Agent or HashiCorp Sentinel.
  • Optimizing container image build pipelines to reduce attack surface and improve pull times in CI/CD.

Module 3: Continuous Integration and Delivery at Scale

  • Designing parallelized test stages to reduce feedback loop duration in large monorepos.
  • Implementing canary analysis using metrics (latency, error rates) to gate production promotions.
  • Managing dependency versioning across shared libraries in a multi-repo environment with semantic release.
  • Securing CI/CD pipelines against credential leakage through ephemeral tokens and scoped permissions.
  • Integrating static analysis and SAST tools without introducing false positives that erode developer trust.
  • Orchestrating cross-environment configuration drift detection using GitOps principles and reconciliation loops.

Module 4: Observability and Runtime Intelligence

  • Instrumenting distributed systems with correlated trace IDs across service boundaries for root cause analysis.
  • Configuring log sampling strategies to balance cost and diagnostic completeness in high-volume systems.
  • Defining service-level objectives (SLOs) and error budgets that align with business availability requirements.
  • Integrating business metrics (e.g., transaction completion rate) into observability dashboards for operational context.
  • Selecting between open-source (e.g., Prometheus, OpenTelemetry) and vendor-managed telemetry backends.
  • Managing retention policies for logs, metrics, and traces under data sovereignty and compliance constraints.

Module 5: Security and Compliance in Development Workflows

  • Embedding security scanning (SCA, SAST, DAST) into pull request pipelines without blocking legitimate changes.
  • Implementing just-in-time access controls for production environments using identity brokers.
  • Managing secrets rotation in containers using external secret managers (e.g., HashiCorp Vault, AWS Secrets Manager).
  • Enforcing regulatory compliance (e.g., GDPR, HIPAA) through automated policy checks in CI/CD gates.
  • Auditing developer actions across infrastructure and code repositories for forensic readiness.
  • Hardening container runtimes with minimal base images and non-root execution policies.

Module 6: Data Management in Distributed Systems

  • Choosing between synchronous database transactions and eventual consistency based on user experience tolerance.
  • Implementing change data capture (CDC) to propagate data updates across services without tight coupling.
  • Partitioning databases by tenant or region to meet data residency requirements in global deployments.
  • Migrating schema in production databases with zero-downtime using dual-write and verification patterns.
  • Securing access to data stores using attribute-based access control (ABAC) instead of role-based models.
  • Designing offline-first capabilities in client applications using local data synchronization strategies.

Module 7: Platform Engineering and Internal Developer Platforms

  • Defining self-service interfaces for common provisioning tasks (e.g., databases, queues) using UI or CLI.
  • Measuring platform adoption through developer onboarding time and ticket reduction metrics.
  • Integrating third-party tools (e.g., monitoring, logging) into a unified developer console.
  • Managing API gateway configurations and rate limiting policies across multiple teams.
  • Standardizing application scaffolding templates that include security and observability defaults.
  • Balancing platform standardization with team autonomy in technology selection for specialized workloads.

Module 8: Evolutionary Practices and Technical Debt Management

  • Tracking technical debt using issue tagging and backlog prioritization in sprint planning.
  • Refactoring legacy components incrementally using the strangler pattern without disrupting business flows.
  • Allocating time for maintenance work in product roadmaps without diluting feature delivery commitments.
  • Measuring code health using metrics like cyclomatic complexity and test coverage trends over time.
  • Conducting architecture decision record (ADR) reviews to ensure alignment and traceability of key choices.
  • Establishing cross-functional guilds to share knowledge on emerging tools and patterns across engineering teams.
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