June 17, 2024


Google Kubernetes Engine (GKE) has emerged as a number one container orchestration platform for deploying and managing containerized functions. However GKE is not only restricted to working stateless microservices — its versatile design helps workloads that must persist information as nicely, by way of tight integrations with persistent disk or blob storage merchandise together with Persistent Disk, Cloud Storage, and Filestore.

And for organizations that want even stronger throughput and efficiency, there’s Hyperdisk, Google Cloud’s next-generation block storage service that lets you modify your capability, throughput, and IOPS-related efficiency and tailor it to your workloads, with out having to re-deploy your complete stack.

Right this moment, we’re excited to introduce assist for Hyperdisk Balanced storage volumes on GKE, which joins the Hyperdisk Excessive and Hyperdisk Throughput choices, and is an efficient match for workloads that sometimes depend on persistent SSDs — for instance, line-of-business functions, net functions, and databases. Hyperdisk Balanced is supported on third+ technology occasion sorts. As an illustration sort compatibility please reference this web page.

Understanding Hyperdisk 

First, let’s begin with what it means to fine-tune your throughput with Hyperdisk? What about tuning IOPS and capability?

  • Tuning IOPS means refining the enter/output operations per second (IOPS) efficiency of a storage gadget. Hyperdisk lets you provision solely the IOPS you want, and doesn’t share it with different volumes on the identical node.

  • Tuning throughput means enhancing the quantity of information or data that may be transferred or processed in a specified period of time. Hyperdisk lets you specify precisely how a lot throughput a given storage quantity ought to have with out limitations imposed by different volumes on the identical node.

  • Increasing capability means you’ll be able to enhance the scale of your storage quantity. Hyperdisk may be provisioned for the precise capability you want and prolonged as your storage wants develop. 

These Hyperdisk capabilities translate in to the next advantages:

  • First, you’ll be able to rework your setting’s stateful setting by way of flexibility, ease of use, scalability and administration — with a possible value financial savings to spice up. Think about the advantage of a storage space community setting with out the administration overhead.

  • Second, you’ll be able to construct lower-cost infrastructure by rightsizing the machine sorts that again your GKE nodes, optimizing your GKE stack whereas integrating with GKE CI/CD, safety and networking capabilities

  • Lastly, you get predictability — the consistency that comes with fine-grained tuning for every particular person node and its required IOPS. You can even use this to fine-tune for ML mannequin constructing/coaching/deploying, as Hyperdisk removes the factor of throughput and IOPS from all PDs sharing the identical node bandwidth, inserting it on the provisioned Hyperdisk beneath it. 

In contrast with conventional persistent disk, Hyperdisk’s storage efficiency is decoupled from the node your software is working on. This provides you extra flexibility together with your IOPs and throughput, whereas decreasing the chance that total storage efficiency can be impacted by a loud neighbor. 

On GKE, the next forms of Hyperdisk volumes can be found:

  • Hyperdisk Balanced – Normal-purpose quantity sort that’s the finest match for many workloads, with as much as 2.4GBps of throughput and 160okay IOPS. Supreme for line-of-business functions, net functions, databases, or boot disks.

  • Hyperdisk Throughput – Optimized for cost-efficient high-throughput workloads, with as much as three GBps throughput (>=128 KB IO measurement). Hyperdisk Throughput is focused at scale-out analytics (e.g., Kafka, Hadoop, Redpanda) and different throughput-oriented cost-sensitive workloads, and is supported on GKE Autopilot and GKE Commonplace clusters.

  • Hyperdisk Excessive – Particularly optimized for IOPS efficiency, similar to large-scale databases that require excessive IOPS efficiency. Supported on Commonplace clusters solely.

Getting began with Hyperdisk on GKE

To provision Hyperdisk you first want to ensure your cluster has the required StorageClass loaded that references the disk. You’ll be able to add the required IOPS/Throughput to the storage class or go together with the defaults, that are three,600 IOPs and 140MiBps (Docs). 

YAML to Apply to GKE cluster


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