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- Cloudified Domains
Interactive Experience Lounge: Cloudification Phase
Explore a guided, click-through demo showing how PowerCenter domains are cloudified to IDMC using secure agents, ensuring continuity and control.
[Try the Demo]
Understand how to manage future domain updates through IDMC, explore cloud release concepts, and stay informed about CDIPC release information.
Explore articles related to CDIPC metering, detailed metering for cost allocation, and sample IPU (Informatica Processing Units) calculations for CDIPC.
Learn about the overall disaster recovery concepts of IDMC and best practices for managing disaster recovery with CDIPC.
Disaster Recovery with CDIPC:
For example:
./infasetup.sh restoreDomain -da <db_adress> -du <username> -dp <pwd> -ds <db_service_name> -dt <db_type>
The -cdr option uses the argument clear_cloud_registration_info_from_domain_repository and clears the registration details from the domain repository when set to true.
By appending the -cdr option to the restoreDomain command, you can register both the original domain and the back up domain to the same POD. Without the -cdr option, you can't register both domains in the same POD.
Bring Your Data to Life with Informatica Intelligent Data Management Cloud
Informatica IDMC is powered by our AI and machine learning (ML) engine, CLAIRE®, optimized for intelligence and automation. IDMC is built on a modern, elastic, serverless microservices stack thatconnects data consumers to the data sources they need. It enables you to intelligently discover and understand virtually all the data within and outside the enterprise. You can also access and ingest virtually all types of data wherever and whenever you want, curate and prepare data in a self-service fashion so that it is fit for use, and deliver an authoritative and trusted single view of all your data.
Informatica IDMC is the most comprehensive platform for cloud-native data management. Informatica IDMC helps organizations deliver on their digital-first initiatives and build a competitive edge with these critical attributes:
- Cloud-native at scale: Scale as you need for virtually all enterprise workloads with elastic and serverless processing.
- AI-native at scale: Automate thousands of manual tasks and accelerate data-led transformations by applying AI and ML to data and metadata.
- Multi-cloud, multi-hybrid: Run, interoperate and support virtually all combinations of multi-cloud and on-premises hybrid infrastructures. Open and flexible. Modernize and build data products with reference architectures like data mesh, data fabric, and data lakehouses.
- Low-code/no-code experience: Maximize agility by empowering the largest possible community of data practitioners and consumers within your organization.
- Security and trust as design principles: Ensure the highest level of security, trust, and compliance with most industry certifications and attestations.
- Consumption pricing: Control your costs with predictable, flexible pricing and volume-bases incentives.