SIA: MODULE 6

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Cloud Integration and Hybrid Architecture

Last updated 9:38 AM on 6/24/26
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39 Terms

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hybrid architecture

The goal of the _____ is to connect components that are located in separate locations, such as the cloud, on-premise settings, public and private clouds, or even between various cloud service providers.

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application data, and infrastructure.

The concept of hybrid integration is analyzed from a variety of angles, the most common of which are ____ and ____

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Cloud & Service Fabric

Service Management

Application and Infrastructure Management

Hybrid Cloud Management

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Cloud & Service Fabric

consolidating the provisioning, deployment, and management of public/private cloud infrastructure and resources.

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Service Management

consolidating the optimization and orchestration of business and cloud services.

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Application and Infrastructure Management

consolidating the provisioning, deployment, and management of applications and cloud resources

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Connectivity and Network Considerations

Data Integration and Data Governance

Security & Compliance

Scalability and Performance

Vendor Lock-in

Before successful integration, organizations must address:

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Connectivity and Network Considerations

Need for reliable network access, low latency, and high bandwidth (e.g., VPNs or AWS Direct Connect).

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Data Integration and Data Governance

Managing data consistency and quality across hybrid environments using ETL processes or real-time replication.

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Security & Compliance

Protecting data in transit and at rest while meeting regulations like GDPR or HIPAA.

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Scalability and Performance

May make use of auto-scaling features of cloud platforms and divide client traffic to achieve optimal performance.

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Vendor Lock-in

Maintaining flexibility by using open standards, Docker, or Kubernetes to ensure interoperability.

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Real-time Data Streaming and Processing

Cloud Service Orchestration

Core Applications of Cloud-native integration platforms and services

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Cloud-native integration platforms and services

By utilizing this, businesses are able to improve the speed, scalability, and adaptability of their integration procedures, all while making full use of the advantages provided by cloud-native architectures and services.

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Cloud-native integration platforms and services

are designed specifically for effortless connectivity.

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Hybrid Cloud Architectures

Organizations utilize hybrid architectures for several strategic reasons

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Data Backup and Disaster Recovery

Bursting and Scalability

Data Processing and Analytics

Regulatory Compliance

DevOps and Continuous Integration/Deployment (CI/CD)

Legacy System Integration

Core Applications of Hybrid Cloud Architectures

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Data Backup and Disaster Recovery

to ensure the data’s durability and enable faster recovery in the event of a catastrophe or system failure.q

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Bursting and Scalability

to burst into the cloud during times of peak Deadman while continuing to use on-premises infrastructure for routine workloads.

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Data Processing and Analytics

enables businesses to utilize cloud resources for compute-intensive operations while maintaining sensitive data on-premises.

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Regulatory Compliance

allows storing of sensitive client data on-premises while making use of cloud services for nonsensitive processes such as email and collaboration tools.

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DevOps and Continuous Integration/Deployment (CI/CD)

provide a seamless interface between environments for development (on-premise) and deployment and testing (cloud).

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Legacy System Integration:

gives businesses the ability to upgrade their information technology infrastructure.

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Integration patterns for cloud-to-cloud and cloud-to-on-premises integration

How systems communicate across environments

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Hybrid Messaging and Event-Driven Integration

Cloud-to-Cloud Service Orchestration

Cloud-to-On-Premises Data Replication

Cloud-to-On-Premises Hybrid Security

Core Applications of Integration patterns for cloud-to-cloud and cloud-to-on-premises integration

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Hybrid Messaging and Event-Driven Integration

allow for real-time communication and event-drive workflows (e.g., Apache Kafka).

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Cloud-to-Cloud Service Orchestration

enables end-to-end business processes to be carried out without interruption.

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Cloud-to-On-Premises Data Replication

makes it possible to synchronize the data

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Cloud-to-On-Premises Hybrid Security

creates encrypted connections to keep sensitive information private.

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Integration patterns for cloud-to-cloud and cloud-toon-premises integration

Businesses are able to link and integrate cloud services with onpremises systems in a seamless manner. This enables data synchronization, real-time communication, and end-to-end business processes to be carried out across a variety of contexts.

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Security and governance in cloud integration

Ensuring a safe and compliant integrated environment

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Identity and Access Management (IAM)

Data Encryption and Privacy

Compliance and Regulatory Requirements

Security Monitoring and Incident Response

Data Governance and Data Loss Prevention (DLP)

Cloud Security Assessments and Audits

Core Applications of Security and governance in cloud integration

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Identity and Access Management (IAM

used to manage identities, roles, and access permissions across cloud services and systems; provide secure access and reduce the possibility of illegal access (e.g., Amazon Web Services IAM or Microsoft Azure Active Directory).

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Data Encryption and Privacy

encryption strategies are utilized both while data is in transit or is stored in servers; protects the privacy of critical information while maintaining its authenticity. Amazon S3 and Google Cloud Storage provide an additional layer for protection by offering encryption options to encrypt data that is stored in the cloud

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Compliance and Regulatory Requirements

maintain the privacy of sensitive information while remaining in regulatory compliance such as GDPR, HIPAA, or PCI-DSS.

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Security Monitoring and Incident Response

monitor logs and events across on-premises systems to enable proactive threat identification and incident response.

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Data Governance and Data Loss Prevention (DLP)

extremely helpful in maintaining data integrity, enforcing data policies, and preventing data leakage as well as illegal data access.

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Cloud Security Assessments and Audits

must be performed on a regular basis to determine the degree to which security controls are effective, finding vulnerabilities, and ensuring compliance with security standards.

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Security and governance in cloud integration

Organizations are in a position to protect their data, comply with regulatory standards, and reduce the risks associated with cloud-based systems and integration. Efficient governance methods guarantee the correct administration and control of cloud resources, as well as data access and compliance with company policies and regulations.