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Distributed Systems 19. BigtablePaul Krzyzanowski Rutgers University Fall 2016November 21, 2016 20142016 Paul Krzyzanowski1Bigtable Highly available distributed storage Built with semistructured data
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Determine the requirements and goals of your highly available distributed storage system. This includes factors such as storage capacity, data redundancy, and performance.
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Choose a suitable distributed storage technology that meets your requirements, such as Apache Hadoop Distributed File System (HDFS), GlusterFS, or Ceph.
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Determine the number of storage nodes needed for your system and plan for redundancy. Highly available distributed storage typically involves multiple nodes to ensure fault tolerance.
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Set up a distributed storage cluster by installing the chosen technology on each storage node. Follow the specific installation instructions provided by the chosen technology's documentation.
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Configure the distributed storage cluster to ensure data replication and distribution across multiple nodes. This may involve setting up replication factors, data sharding, or other configuration settings.
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Test the fault tolerance and availability of the distributed storage system by simulating node failures and ensuring that data remains accessible and intact.
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Implement monitoring and alerting systems to track the health and performance of the distributed storage cluster. This helps in identifying and resolving issues promptly.
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Regularly maintain and update the distributed storage system by applying patches, performance optimizations, and scaling resources as needed.
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Document the configuration and management procedures to facilitate future maintenance and troubleshooting efforts.
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Regularly monitor and evaluate the performance and effectiveness of the highly available distributed storage system, making adjustments and improvements as needed.

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Large organizations with vast amounts of data that require high availability and fault tolerance.
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Data-intensive industries such as finance, healthcare, and e-commerce that deal with sensitive and critical data.
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Research institutions and scientific projects that generate and analyze massive amounts of data.
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Any organization or system that cannot afford data loss or downtime due to storage failures.
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Highly available distributed storage refers to a system where data is stored across multiple servers or nodes to ensure constant availability and prevent data loss in case of hardware failure.
Companies or organizations that rely on critical data and need to ensure high availability and redundancy are required to implement highly available distributed storage.
To set up highly available distributed storage, organizations need to choose a distributed storage solution, configure redundancy and replication settings, regularly monitor and maintain the system.
The purpose of highly available distributed storage is to ensure constant access to data, prevent data loss, and minimize downtime in case of hardware failures or disasters.
Information such as system uptime, data redundancy levels, replication strategies, and maintenance schedules must be reported on highly available distributed storage.
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