2/16/2023 0 Comments Twomon cpu usage![]() Recently, one of the customers had an issue with server performance. Let’s have look on how our Support Engineers recently solved the CPU usage problem. Now, it’s time to check the solutions for the same. Till now, we saw the top reasons that would affect MongoDB performance on a server. And, when you have a lot of documents in your collection, it can take a while to process the query. Without indexes, it uses a C ollection Scan method to determine the documents that match the query statement. These slow queries can occur if the database doesn’t have proper DB indexes.ĭB indexes help to perform faster database queries in MongoDB. Sometimes, the database takes too long to perform and finish the queries. In addition to tweaking in MongoDB server configuration, setting the ideal values for the following system parameters also improve the MongoDB performance. And, as MongoDB server processes these big log files, eventually all database tasks will get delayed.įrom our experience in managing servers, our Dedicated Engineers often see that network stack variables and file system parameters also affect the working of MongoDB. Furthermore, this can affect other write or read tasks in the server.Īdditionally, this would make the MongoDB log file grow up to a large size. Therefore, it used a major part of CPU resources. When writing every connection to the log file, it will utilize the processor for its Input/Output operations. Often bad MongoDB server settings cause high CPU usage which reduces the server performance.įor example, we saw that one of our customers had set to log every connection made to the server in the log file. ![]() There are several reasons that slow down the MongoDB server. ![]() However, it will create a very slow and undesirable user experience within the online applications when MongoDB uses high CPU. The performance will be high when the MongoDB use less CPU. When there is a heavy CPU usage by MongoDB, it can often result in tardy website applications. In general, CPU usage indicates the overall efficiency of any server. Today, we’ll see how our Support Engineers fixed MongoDB high CPU usage for a customer and fixed related errors. That’s why we often get requests from our customers to fix MongoDB high CPU usage as part of our Server Management Services. And, this slowness can be due to bad MongoDB server optimization. Often MongoDB high CPU usage can be a reason for slowness. Please check Ceph cluster health.Ĭheck if the openshift-storage namespace is stuck in Terminating state upon deletion.Ĭheck for the NamespaceFinalizersRemaining and NamespaceContentRemaining messages in the STATUS section of the command output and perform the next step for each of the listed resources.It’s really annoying, when the server slows down without any apparent reason. Please check Ceph cluster health.ĭescription: Cluster Object Store is in unhealthy state for more than 15s. Message: Cluster Object Store is in unhealthy state. # oc get pods -n openshift-storage | grep -i "ocs-operator" | awk ' leader changes per minute recently.'ĭescription: Storage cluster quorum is low. Changing the CPU and memory resources on the rook-ceph pods Changing resources for the OpenShift Data Foundation components"ġ3.1. Changing resources for the OpenShift Data Foundation components"Ĭollapse section "13. Changing resources for the OpenShift Data Foundation componentsĮxpand section "13. Enabling the Red Hat OpenShift Data Foundation console pluginġ3. Restoring ceph-monitor quorum in OpenShift Data Foundationġ2. Restoring the Multicloud Object Gatewayġ1. Restoring the monitor pods in OpenShift Data Foundation"ġ0.2. Restoring the monitor pods in OpenShift Data Foundation"Ĭollapse section "10. ![]() Restoring the monitor pods in OpenShift Data FoundationĮxpand section "10. Troubleshooting CephFS PVC creation in external modeġ0. Troubleshooting and deleting remaining resources during Uninstallĩ. Checking for Local Storage Operator deploymentsĨ. Enabling and disabling debug logs for rook-ceph-operatorħ. Resolving NooBaa Bucket Capacity or Quota StateĦ.8. Resolving NooBaa Bucket Exceeding Quota StateĦ.5. Resolving cluster health issues"Ĭollapse section "6.2. Troubleshooting alerts and errors in OpenShift Data Foundation"Įxpand section "6.2. Troubleshooting alerts and errors in OpenShift Data Foundation"Ĭollapse section "6. Troubleshooting alerts and errors in OpenShift Data FoundationĮxpand section "6. Overriding the cluster-wide default node selector for OpenShift Data Foundation post deploymentĥ. Commonly required logs for troubleshootingĤ. Downloading log files and diagnostic information using must-gatherģ. Providing feedback on Red Hat documentationĢ. Troubleshooting OpenShift Data Foundation
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |