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Hybrid IT in Application Development

Hybrid IT in Application Development

$249.00
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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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This curriculum spans the technical and operational complexities of hybrid IT in application development, comparable to a multi-workshop program addressing infrastructure, security, data, and governance challenges encountered during large-scale enterprise cloud adoption.

Module 1: Architecting Hybrid IT Infrastructure for Application Development

  • Selecting between colocation, private cloud, and public cloud for core application components based on latency, compliance, and scalability requirements.
  • Designing network topology to ensure low-latency connectivity between on-premises systems and cloud-hosted development environments.
  • Implementing consistent identity federation across on-prem Active Directory and cloud IAM systems for developer access.
  • Evaluating data residency laws when determining where application components and development artifacts are hosted.
  • Integrating legacy mainframe systems with cloud-native development pipelines using secure API gateways.
  • Establishing baseline infrastructure-as-code standards for reproducible environments across hybrid footprints.

Module 2: Unified Development and Deployment Workflows

  • Configuring CI/CD pipelines to deploy across on-prem Kubernetes clusters and public cloud container services using a single toolchain.
  • Managing build agent distribution to ensure consistent performance regardless of execution location (cloud vs. local).
  • Implementing artifact repository replication across regions and environments to reduce deployment latency and network costs.
  • Enforcing deployment approval workflows that span both cloud and on-premises change advisory boards (CABs).
  • Handling environment drift detection between staging and production when configurations differ across hybrid environments.
  • Integrating automated security scanning into CI/CD stages without introducing unacceptable pipeline delays.

Module 3: Data Management and Integration Across Environments

  • Designing data synchronization strategies between on-prem databases and cloud analytics platforms with acceptable lag and consistency.
  • Implementing data masking in non-production environments when replicating production data from on-prem systems to cloud.
  • Choosing between change data capture (CDC) and batch ETL for hybrid data integration based on transaction volume and SLA.
  • Managing cross-environment data access controls when developers require read access to cloud-hosted data linked to on-prem systems.
  • Planning for data egress costs when transferring large datasets between cloud providers and on-prem data centers.
  • Establishing data retention and archival policies that comply with regulations across hybrid storage systems.

Module 4: Security and Compliance in Hybrid Development

  • Aligning cloud security groups and on-prem firewall rules to maintain consistent application-level access controls.
  • Implementing centralized logging and monitoring with normalized schemas across hybrid infrastructure components.
  • Conducting regular audits of developer IAM permissions across cloud platforms and on-prem systems to prevent privilege creep.
  • Enforcing encryption standards for data at rest and in transit, including certificate lifecycle management across environments.
  • Integrating vulnerability scanning tools into development workflows with consistent policy enforcement across hybrid targets.
  • Documenting and validating compliance controls for hybrid systems during regulatory audits (e.g., SOC 2, HIPAA).

Module 5: Governance and Operational Oversight

  • Defining ownership models for hybrid services, including escalation paths for incidents spanning cloud and on-prem teams.
  • Implementing cost allocation tags and chargeback models for cloud resources used in development and testing.
  • Establishing service-level objectives (SLOs) for hybrid applications that account for variable performance across environments.
  • Creating runbooks that address failure scenarios involving interdependencies between cloud and on-prem components.
  • Managing configuration drift using policy-as-code tools that enforce compliance across hybrid infrastructure.
  • Coordinating patching schedules for hybrid systems to minimize service disruption during maintenance windows.

Module 6: Performance and Scalability Optimization

  • Designing auto-scaling policies for cloud components that respond to load while maintaining compatibility with fixed on-prem capacity.
  • Measuring and optimizing end-to-end latency in hybrid applications with components distributed across environments.
  • Implementing caching strategies at the edge and within the application layer to reduce cross-environment calls.
  • Conducting load testing that simulates real-world traffic patterns across hybrid network paths.
  • Right-sizing cloud instances based on actual usage metrics while avoiding over-provisioning in on-prem clusters.
  • Using observability data to identify performance bottlenecks in hybrid service dependencies.

Module 7: Developer Experience and Tooling Consistency

  • Standardizing local development environments using containerization to mirror hybrid production topologies.
  • Providing unified access to development tools (IDEs, debuggers, profilers) regardless of backend deployment location.
  • Integrating cloud-based testing services with on-prem test data management systems without compromising data security.
  • Ensuring consistent API contract management across hybrid microservices using centralized schema registries.
  • Reducing context switching by consolidating notifications and alerts from hybrid monitoring tools into a single dashboard.
  • Supporting remote developers with secure, performant access to hybrid development and testing environments.

Module 8: Migration and Modernization Strategy Execution

  • Assessing application suitability for partial vs. full migration based on coupling to on-prem dependencies.
  • Executing database refactoring to decouple monolithic applications before migrating components to cloud.
  • Running parallel workloads in hybrid environments during cutover to validate data consistency and performance.
  • Managing technical debt accumulation during phased migration by enforcing architectural guardrails.
  • Re-architecting stateful applications to operate effectively in distributed hybrid environments.
  • Establishing rollback procedures for failed migration phases involving interdependent cloud and on-prem systems.
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