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Managing your cloud ecosystems: Maintaining workload continuity during worker node upgrades

2 years ago
in Blockchain
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Planning and managing your cloud ecosystem and environments is essential for lowering manufacturing downtime and sustaining a functioning workload. Within the “Managing your cloud ecosystems” weblog collection, we cowl completely different methods for making certain that your setup capabilities easily with minimal downtime.

To begin issues off, the primary subject on this weblog collection is making certain workload continuity throughout employee node upgrades.

What are employee node upgrades?

Employee node upgrades apply essential safety updates and patches and must be accomplished repeatedly. For extra info on sorts of employee node upgrades, see Updating VPC employee nodes and Updating Traditional employee nodes within the IBM Cloud Kubernetes Service documentation.

Throughout an improve, a few of your employee nodes could grow to be unavailable. It’s essential to ensure your cluster has sufficient capability to proceed working your workload all through the improve course of. Constructing a pipeline to replace your employee nodes with out inflicting utility downtime will help you simply apply employee node upgrades repeatedly.

For traditional employee nodes

Create a Kubernetes configmap that defines the utmost variety of employee nodes that may be unavailable at a time, together with throughout an improve. The utmost worth is specified as a share. You can even use labels to use completely different guidelines to completely different employee nodes. For full directions, see Updating Traditional employee nodes within the CLI with a configmap within the Kubernetes service documentation. When you select to not create a configmap, the default most quantity of employee nodes that grow to be unavailable is 20%.

When you want your complete variety of employee nodes to stay up and working, use the ibmcloud ks worker-pool resize command to briefly add additional employee nodes to your cluster at some stage in the improve course of. When the improve is full, use the identical command to take away the extra employee nodes and return your employee pool to its earlier measurement.

For VPC employee nodes

VPC employee nodes are changed by eradicating the outdated employee node and provisioning a brand new employee node that runs on the new model. You’ll be able to improve a number of employee nodes on the similar time, however in case you improve a number of without delay, they grow to be unavailable on the similar time. To be sure you have sufficient capability to run your workload through the improve, you may plan to both resize your employee swimming pools to briefly add additional employee nodes (just like the method described for traditional employee nodes) or plan to improve your employee nodes one after the other.

Wrap up

Whether or not you select to implement a configmap, resize your employee pool or improve parts one-by-one, making a workload continuity plan earlier than you improve your employee nodes may help you create a extra streamlined, environment friendly setup with restricted downtime.

Now that you’ve a plan to forestall disruptions throughout employee node upgrades, maintain a watch out for the following weblog in our collection, which is able to talk about how, when and why to implement main, minor or patch upgrades to your clusters and employee nodes.

Study extra about IBM Cloud Kubernetes Service clusters

Software program Engineering Lead – IKS/ROKS/Satellite tv for pc



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Tags: cloudcontinuityecosystemsMaintainingManagingnodeupgradesworkerworkload
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