## What is Persistence? - The ability of a system to retain data over time. - Essential for applications that require data storage and retrieval. --- ## Types of Persistence 1. **Volatile Storage**: - Temporary storage (e.g., RAM). - Data is lost when power is off. 2. **Non-Volatile Storage**: - Permanent storage (e.g., HDD, SSD). - Data persists even after power loss. --- ## Persistence in Computing - **Databases**: Store structured data for easy access and manipulation. - **File Systems**: Manage files on disk for long-term storage. - **Key-Value Stores**: Provide fast access to data using keys (e.g., Redis). --- ## Importance of Persistence - Ensures data continuity and reliability. - Enables recovery from failures. - Supports business operations and user experience. --- ## Persistence in Cloud Environments - **Object Storage**: Scalable storage for unstructured data (e.g., AWS S3, Azure Blob Storage). - **Block Storage**: Used for databases and applications (e.g., AWS EBS, Azure Disk Storage). - **Database Services**: Managed services for structured data (e.g., Amazon RDS, Azure SQL). --- ## Challenges of Persistence - **Data Consistency**: Ensuring accurate and reliable data. - **Scalability**: Handling increasing data volume. - **Latency**: Minimizing delays in data retrieval. --- ## Benefits of Persistence - Provides reliable data storage. - Enables historical data analysis. - Facilitates disaster recovery and backups. --- ## Conclusion - Persistence is a core component of modern computing. - Understanding storage types and technologies ensures efficient and reliable systems.