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Cloud Native by Peter Jausovec & Trent Swanson & Boris Scholl

Author:Peter Jausovec & Trent Swanson & Boris Scholl [Peter Jausovec]

Language: eng

Format: epub

Publisher: O’Reilly Media, Inc.

Published: 2019-08-27T16:00:00+00:00

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Cloud Native by Peter Jausovec & Trent Swanson & Boris Scholl

Note

StatefulSets currently require a headless service, which is responsible for the network identity of the pods and must be created in addition to the StatefulSet.

Affinity and anti-affinity is a feature of Kubernetes that allows you to constrain which nodes pods will run on. Pod anti-affinity can be used to improve the availability of a data storage system running on Kubernetes by ensuring replicas are not running on the same node. If a primary and secondary were running on the same node and that node happened to go down, the database would be unavailable until the pods were rescheduled and started on another node.

 

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Cloud Native by Peter Jausovec & Trent Swanson & Boris Scholl

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Cloud Native by Peter Jausovec & Trent Swanson & Boris Scholl

Author:Peter Jausovec & Trent Swanson & Boris Scholl [Peter Jausovec] , Date: September 23, 2019

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Author:Peter Jausovec & Trent Swanson & Boris Scholl [Peter Jausovec]

Language: eng

Format: epub

Publisher: O’Reilly Media, Inc.

Published: 2019-08-27T16:00:00+00:00
Note

StatefulSets currently require a headless service, which is responsible for the network identity of the pods and must be created in addition to the StatefulSet.

Affinity and anti-affinity is a feature of Kubernetes that allows you to constrain which nodes pods will run on. Pod anti-affinity can be used to improve the availability of a data storage system running on Kubernetes by ensuring replicas are not running on the same node. If a primary and secondary were running on the same node and that node happened to go down, the database would be unavailable until the pods were rescheduled and started on another node.

Cloud providers offer many different types of compute instance types that are better suited for different types of workloads. Data storage systems will often run better on compute instances that are optimized for disk access, although some might require higher memory instances. The stateless services running the cluster, however, do not require these specialized instances that will often cost more and are fine running on general commodity instances. You can add a pool of storage-optimized nodes to a Kubernetes cluster to run the storage workloads that can benefit from these resources. You can use Kubernetes node selection along with taints and tolerations to ensure the data storage systems are scheduled on the pool of storage optimized nodes and that other services are not.

Given most data storage systems are not Kubernetes aware, it’s often necessary to create an adapter service that runs with the data storage system pod. These services are often responsible for injecting configuration or cluster environment settings into the data storage system. For example, if we deployed a MongoDB cluster and need to scale the cluster with another node, the MongoDB sidecar service would be responsible for adding the new MongoDB pod to the MongoDB cluster.

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