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Back End Integration in Application Development

Back End Integration in Application Development

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

Back End Integration in Application Development is covered here in 8 modules: Integration Architecture Fundamentals, API Design and Management, Messaging and Event-Driven Systems and 5 more. The outline lists 48 specific topics, opening with select between synchronous and asynchronous communication patterns based on transactional integrity requirements and system availability SLAs.

How do you approach Back End Integration in Application Development step by step?

The work is sequenced in 8 stages. It starts with Integration Architecture Fundamentals, moves through API Design and Management and Messaging and Event-Driven Systems, and ends at Hybrid and Multi-Cloud Integration Patterns. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Back End Integration in Application Development course?

Module 1 is Integration Architecture Fundamentals. It works through select between synchronous and asynchronous communication patterns based on transactional integrity requirements and system availability SLAs., define service boundaries using domain-driven design to minimize coupling between integrated systems., choose between point-to-point integrations and middleware brokers considering long-term maintainability and scalability. and 3 more. It sets the vocabulary the remaining 7 modules build on.

How is the Back End Integration in Application Development course delivered?

The Back End Integration 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 Back End Integration in Application Development course cost?

The Back End Integration 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: Back End, Back End Database, Back End Integration in Predictive Analytics Dataset, Back End Processing and Semiconductor Equipment.

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

This curriculum spans the technical and operational rigor of a multi-workshop integration modernization program, addressing the same architectural decisions, operational controls, and cross-system coordination challenges encountered in large-scale backend integration initiatives across hybrid environments.

Module 1: Integration Architecture Fundamentals

  • Select between synchronous and asynchronous communication patterns based on transactional integrity requirements and system availability SLAs.
  • Define service boundaries using domain-driven design to minimize coupling between integrated systems.
  • Choose between point-to-point integrations and middleware brokers considering long-term maintainability and scalability.
  • Implement versioning strategies for APIs to support backward compatibility during system upgrades.
  • Evaluate message serialization formats (JSON, XML, Protocol Buffers) based on payload size, parsing speed, and cross-platform support.
  • Design idempotency mechanisms in API endpoints to handle duplicate requests caused by network retries.

Module 2: API Design and Management

  • Apply REST conventions consistently, including proper use of HTTP methods, status codes, and resource naming.
  • Implement rate limiting and throttling policies to prevent abuse and ensure fair usage across clients.
  • Document APIs using OpenAPI specifications and integrate them into CI/CD pipelines for automatic validation.
  • Enforce authentication and authorization using OAuth 2.0 or API keys, depending on client type and security requirements.
  • Configure API gateways to handle cross-cutting concerns like logging, monitoring, and request transformation.
  • Manage API lifecycle stages (development, testing, production) with environment-specific routing and access controls.

Module 3: Messaging and Event-Driven Systems

  • Select message brokers (e.g., RabbitMQ, Kafka, AWS SQS) based on durability, ordering guarantees, and throughput needs.
  • Design event schemas with schema registry tools to ensure compatibility across producers and consumers.
  • Implement dead-letter queues to isolate and analyze failed message deliveries without disrupting processing.
  • Configure message acknowledgment and retry strategies to balance reliability and performance.
  • Determine partitioning and sharding strategies in event streams to support parallel processing and scalability.
  • Monitor consumer lag in queues to detect processing bottlenecks and trigger scaling actions.

Module 4: Data Synchronization and Consistency

  • Implement distributed transactions using the Saga pattern when two-phase commits are not feasible.
  • Synchronize reference data across systems using change data capture (CDC) tools like Debezium.
  • Resolve data conflicts in eventual consistency models using timestamp-based or application-specific conflict resolution logic.
  • Design caching strategies that invalidate or refresh data based on upstream system updates.
  • Establish data ownership rules to determine which system is the source of truth for each entity.
  • Use database triggers or audit logs to propagate critical data changes to downstream consumers.

Module 5: Security and Compliance in Integrations

  • Encrypt data in transit using TLS 1.2+ and enforce mutual TLS where client identity must be verified.
  • Mask or redact sensitive data in logs and monitoring tools to comply with privacy regulations.
  • Implement audit trails for integration activities to support forensic analysis and regulatory reporting.
  • Apply least-privilege access controls to integration accounts and service identities.
  • Conduct regular security assessments on integration endpoints to identify exposed APIs or misconfigurations.
  • Ensure data residency compliance by routing messages through region-specific processing nodes.

Module 6: Monitoring, Observability, and Error Handling

  • Instrument integration points with structured logging to enable correlation across distributed systems.
  • Configure distributed tracing to track request flows through multiple services and identify latency bottlenecks.
  • Set up health checks and readiness probes for integration services in containerized environments.
  • Define alert thresholds for error rates, message backlog, and response times based on business impact.
  • Aggregate metrics using tools like Prometheus or Datadog to visualize integration performance over time.
  • Design automated rollback procedures for failed integration deployments using feature toggles or circuit breakers.

Module 7: Deployment and Operational Governance

  • Integrate integration pipelines into CI/CD workflows with automated testing for contract compliance.
  • Use infrastructure-as-code (e.g., Terraform, CloudFormation) to provision and version integration resources.
  • Coordinate deployment schedules across teams to minimize downtime during dependent system updates.
  • Enforce schema validation in staging environments to prevent breaking changes from reaching production.
  • Document integration dependencies in a service catalog to support impact analysis during outages.
  • Establish escalation paths and on-call rotations for critical integration failures.

Module 8: Hybrid and Multi-Cloud Integration Patterns

  • Design hybrid connectivity using secure tunnels (e.g., IPsec, AWS Direct Connect) between on-prem and cloud systems.
  • Standardize data formats and protocols at integration boundaries to reduce translation complexity across environments.
  • Implement cloud-agnostic abstraction layers to minimize vendor lock-in for critical integration logic.
  • Route traffic based on latency, cost, or compliance using intelligent DNS or service mesh controls.
  • Replicate configuration and secrets across environments using secure, audited synchronization tools.
  • Test failover procedures between cloud regions to validate disaster recovery readiness for integrated systems.
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