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workload manager best practices for redis google cloud documentation skip to main content technology areas close ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage cross product tools close access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools console english deutsch español américa latina français português brasil 中文 简体 日本語 한국어 sign in workload manager start free overview guides reference resources technology areas more overview guides reference resources cross product tools more console workload manager authenticate to workload manager access control with iam best practices reference google cloud best practices best practices for mysql best practices for redis best practices for sap best practices for sql server best practices for red hat openshift rest reference overview v1 rest resources projects locations overview get list projects locations deployments overview create delete get list projects locations deployments actuations overview create delete get list projects locations discoveredprofiles overview get list projects locations discoveredprofiles health overview get projects locations evaluations overview create delete get list patch projects locations evaluations executions overview delete get list run projects locations evaluations executions results overview list projects locations evaluations executions scannedresources overview list projects locations insights overview delete writeinsight projects locations operations overview cancel delete get list projects locations rules overview list types cloudresource v1alpha rest resources projects locations overview get list projects locations deployments overview create delete get list projects locations deployments actuations overview create delete get list projects locations operations overview cancel delete get list shared types types canceloperationrequest deleteoperationrequest getlocationrequest getoperationrequest listlocationsrequest listlocationsresponse listoperationsrequest listoperationsresponse quotas and limits monitor audit logging ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation compute workload manager reference send feedback workload manager best practices for redis stay organized with collections save and categorize content based on your preferences this document lists the best practices that workload manager supports for evaluating redis workloads running on google cloud to learn about workload manager see product overview severity levels when you run an evaluation workload manager evaluates resources by comparing their current state with best practices if a resource doesn t comply with a selected best practice workload manager assigns it a severity level that indicates how far the resource is out of compliance the google cloud console marks each non compliant resource with an icon the following table explains these icons their corresponding severity levels how the current resource setting might impact your workload and recommendations for modifying the resource to adhere to best practices icon severity level impacts recommendation critical system reliability unplanned outages unsupported configuration resolve as soon as possible to prevent an impact on system availability and data integrity due to a high risk of an unplanned outage high degraded performance system stability resolve during the next planned maintenance window medium suboptimal performance supportability resolve at your earliest convenience low informational non essential behavior although there s no resolution needed reviewing this best practice can provide useful insights best practices for redis workloads the following table shows the workload manager best practices for evaluating redis workloads that run on google cloud note that to enable workload manager for evaluating your redis workloads you must set up google cloud s agent for compute workloads on the host vms select one or more rule categories to filter the following table redis general critical high medium low category best practice name and description severity last updated redis general check that the google cloud agent for compute workloads is set up correctly on all instances in the evaluation scope instances in the evaluation scope must have the google cloud agent for compute workloads configured to run workload manager evaluations if you have not configured the agent correctly evaluation results can be incomplete or inaccurate the minimum recommended version is 1 2 critical august 27 2025 redis general enable automatic restart for vms running redis workloads to ensure that the vm restarts automatically in the event of a failure enable the compute engine automatic restart policy for any vm that is running a redis workload critical august 27 2025 redis general provision hyperdisk with minimum iops and throughput the default provisioned iops and throughput values for small hyperdisks can be too low to guarantee proper performance we recommend that you raise these values to a minimum of 10 000 iops and 1 gib s throughput from november 10th 2025 the severity of this evaluation rule has been updated from medium to high this change also applies to existing evaluations that include this rule for more information see default performance high november 10 2025 redis general set vm maintenance policy to migrate for redis workloads to prevent any platform maintenance events from stopping or restarting a vm that is running redis workloads the onhostmaintenance parameter for the vm must be set to the recommended option migrate for more information see set vm host maintenance policy critical august 27 2025 redis general do not run redis workloads on pd standard or hyperdisk throughput disk types google cloud recommends that you do not run redis workloads on pd standard and hyperdisk throughput disk types because these are hard disk based disks and might lead to degraded performance from november 10th 2025 the severity of this evaluation rule has been updated from medium to high this change also applies to existing evaluations that include this rule for more information see persistent disk types hyperdisks and hyperdisk throughput high november 10 2025 redis general ensure replication is sent to a machine in a different zone or region to maintain proper high availability we strongly recommend that you send your replication to a machine in a different zone or region from the primary location from november 10th 2025 the severity of this evaluation rule has been updated from medium to high this change also applies to existing evaluations that include this rule for more information see well architected framework reliability pillar high november 10 2025 redis general do not use replication without persistence persistence ensures that the system writes the data sent to the primary instance to a durable storage in a replicated system choosing the right persistence strategy is critical to prevent data loss in case of a failure if you choose not to use any persistence options google cloud recommends that you disable the systemd redis service from automatically restarting to avoid potential data integrity issues from november 10th 2025 the severity of this evaluation rule has been updated from medium to high this change also applies to existing evaluations that include this rule high november 10 2025 send feedback except as otherwise noted the content of this page is licensed under the creative commons attribution 4 0 license and code samples are licensed under the apache 2 0 license for details see the google developers site policies java is a registered trademark of oracle and or its affiliates last updated 2026 07 10 utc need to tell us more easy to understand easytounderstand thumb up solved my problem solvedmyproblem thumb up other otherup thumb up hard to understand hardtounderstand thumb down incorrect information or sample code incorrectinformationorsamplecode thumb down missing the information samples i need missingtheinformationsamplesineed thumb down other otherdown thumb down last updated 2026 07 10 utc products and pricing see all products google cloud pricing google cloud marketplace contact sales support community forums support release notes system status resources github getting started with google cloud code samples cloud architecture center training and certification engage blog events x twitter google cloud on youtube google cloud tech on youtube about google privacy site terms 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