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Published byElaine Antonia Wilcox Modified over 9 years ago
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High-Availability Linux
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Reliability Availability Serviceability
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What are HA clusters? High-availability clusters are groups of computers that support sever applications that can be reliably utilized with a minimum of down-time. Utilizes redundant computers in clusters that provide service when any system components fail.
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Failover – A process by which HA clusters detect hardware or software faults and restart the application on another system without requiring administrative intervention Emphasis on a layered approach to redundancies
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Primary software of Linux-HA is called Heartbeat No fixed limit on nodes, allowing use with clusters of any size Parallel resource monitoring – as with normal computing, but can shift resources from one node to another if the initial node fails Automatically removes failed nodes from the cluster
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Integrates with many popular software packages, including: Apache, DB2, Oracle, PostgreSQL GUI included for easier controlling and monitoring of the clusters and relevant resources
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Originally capable of only handling two nodes at a time Did not include resource monitoring Would later switch to a layered design implementing n-node clusters
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Project was split into various separate packages Pacemaker – Cluster resource manager component that handles resource management and node failure Heartbeat – Now only refers to the layer used for communication between clusters and the individual nodes of the cluster.
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Resource Agents – a standardized interface for a cluster resource, used for translating operations to a cluster and determining success or failure per process Cluster Glue – a set of libraries, tools, and utilities for use with Heartbeat and Pacemaker; this includes everything not covered by Heartbeat (messaging), Pacemaker (resource management), Resource Agents (cluster operations) Local Resource Manager – similar to the Pacemaker, but solely exists for one client in the cluster, and is thus not “aware” of the status of the rest of the cluster
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