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Applications need to be designed with portability in mind, often employing containerization or microservices architecture to facilitate movement across cloud environments.

Integration requires careful planning to ensure smooth data and application interoperability, while maintaining performance and security.

Understanding and negotiating SLAs with cloud providers is crucial to ensure that performance and uptime expectations are met in a hybrid cloud setup.

Establishing robust governance policies is essential for managing risks, ensuring compliance, and maintaining control over IT resources in a hybrid cloud architecture.

Networking across different cloud and on-premises environments needs to be reliable, secure, and have low latency to ensure efficient data flow.

Monitoring and managing costs across various cloud services and on-premises infrastructure is essential for optimizing spend.

Reliance on a single cloud provider can limit flexibility. A hybrid approach can mitigate this by using multiple providers or on-premises solutions.

Using tools that offer visibility and control over both on-premises and cloud resources is essential to managing a hybrid environment effectively.

Different deployment models, such as cloud bursting, can be utilized in hybrid cloud to dynamically expand capacity into the cloud during demand spikes.

Scaling applications and services in a hybrid cloud environment presents challenges such as managing different scaling mechanisms and ensuring seamless growth across environments.

Hybrid cloud can offer improved disaster recovery options, leveraging the cloud for backups and failover, reducing downtime and data loss.

Selecting a hybrid cloud platform should be based on factors such as compatibility with existing infrastructure, support, scalability, and cost-effectiveness.

Security in hybrid clouds must be managed across different environments, ensuring data protection, regulatory compliance, and use of secure APIs.

A computing environment that combines public cloud, private cloud, and on-premises infrastructure, allowing data and applications to be shared between them.

Workloads must be managed and orchestrated effectively across multiple environments to achieve efficiency and performance goals.

Data must be managed strategically across clouds to maintain access, consistency, and governance, while avoiding silos.

Continuous performance monitoring across all cloud environments ensures that services meet user expectations and operate optimally.

Offers flexibility, cost efficiency, scalability, and security; enables companies to deploy workloads in private or public environments based on compliance, policy, or security requirements.

Data needs to be replicated and synchronized across various cloud and on-premises environments, which requires efficient and reliable data transfer protocols.