# High-Availability Configuration
When deploying Erda via Helm Chart package, you can choose deployment mode by setting the global parameter global.size:
- Set global.size as
demo, then all components of Erda will be deployed in the minimalist way (low-resource configuration and single-instance copy), which is suitable for trial environment. - Set global.size as
prod, then the core components of Erda will be deployed in a high-availability way (high-resource configuration and multi-instance copy), which is suitable for production environment.
This article will introduce the configuration for production deployment (high-availability mode).
# Configurable Parameter for High-Availability Deployment
The values.yaml (opens new window) file in Erda Helm Chart defines a large number of configuration parameters, which can be modified according to the actual situation for high-availability deployment.
| Parameter | Description | Default Value |
|---|---|---|
| Global | ||
| global.size | The deployment mode (demo and prod are supported), and the high-availability mode is set as prod | - |
| global.image.repository | Set the image repository address and users who cannot access the external network need to modify the configuration to a private repository on the internal network and upload the image required for Erda deployment to the private repository before deployment | "registry.erda.cloud/erda" |
| global.image.imagePullPolicy | Set image pull policy | "IfNotPresent" |
| global.image.imagePullSecrets | Setting not required if image is not pulled from private repository, otherwise it needs to be set as secrets to access the private image repository | - |
| global.domain | The domain name bound to the current Erda cluster | "erda.io" |
| Cassandra | ||
| cassandra.capacity | Set the single-node storage capacity of Cassandra, which is scalable according to the actual cluster and business volume | "1000Gi" |
| cassandra.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| cassandra.resources.requests.cpu | Set the CPU request value of the Cassandra instance pod | "2" |
| cassandra.resources.requests.memory | Set the memory request value of the Cassandra instance pod | "4Gi" |
| cassandra.resources.limits.cpu | Set the CPU limit value of the Cassandra instance pod | "4" |
| cassandra.resources.limits.memory | Set the memory limit value of the Cassandra instance pod | "16Gi" |
| cassandra.racks | Rack name list (names cannot be repeated), and the number of racks in the list equal to the number of Cassandra nodes | - name: rack1 - name: rack2 - name: rack3 |
| Elasticsearch | ||
| elasticsearch.replicas | Set the number of Elasticsearch cluster nodes | 3 |
| elasticsearch.capacity | Set the single-node storage capacity of Elasticsearch, which is scalable according to the actual cluster and business volume | "1000Gi" |
| elasticsearch.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| elasticsearch.numberOfMasters | When deploying an Elasticsearch cluster in high-availability mode, the number of Elasticsearch instances is generally set over half of the cluster node number to avoid split-brain in the Elasticsearch cluster | 2 |
| elasticsearch.javaOpts | Set the environment variable JAVA_OPTS of Elasticsearch (Java heap size is recommended to be set as 0.75 * resources.limits.memory) | "-Xms6144m -Xmx6144m" |
| elasticsearch.resources.requests.cpu | Set the CPU request value of the Elasticsearch instance pod | "2" |
| elasticsearch.resources.requests.memory | Set the memory request value of the Elasticsearch instance pod | "4Gi" |
| elasticsearch.resources.limits.cpu | Set the CPU limit value of the Elasticsearch instance pod | "4" |
| elasticsearch.resources.limits.memory | Set the memory limit value of the Elasticsearch instance pod | "8Gi" |
| etcd | ||
| etcd.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| etcd.capacity | Set the single-node storage capacity of etcd, which is scalable according to the actual cluster and business volume | "32Gi" |
| etcd.resources.requests.cpu | Set the CPU request value of the etcd instance pod | "1" |
| etcd.resources.requests.memory | Set the memory request value of the etcd instance pod | "2Gi" |
| etcd.resources.limits.cpu | Set the CPU limit value of the etcd instance pod | "4" |
| etcd.resources.limits.memory | Set the memory limit value of the etcd instance pod | "8Gi" |
| Zookeeper | ||
| zookeeper.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| zookeeper.capacity | Set the single-node storage capacity of Zookeeper, which is scalable according to the actual cluster and business volume | "32Gi" |
| zookeeper.resources.requests.cpu | Set the CPU request value of the Zookeeper instance pod | "100m" |
| zookeeper.resources.requests.memory | Set the memory request value of the Zookeeper instance pod | "256Mi" |
| zookeeper.resources.limits.cpu | Set the CPU limit value of the Zookeeper instance pod | "1" |
| zookeeper.resources.limits.memory | Set the memory limit value of the Zookeeper instance pod | "512Mi" |
| Kafka | ||
| kafka.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| kafka.capacity | Set the single-node storage capacity of Kafka, which is scalable according to the actual cluster and business volume | "32Gi" |
| kafka.javaOpts | Set the environment variable JAVA_OPTS of Kafka (Java heap size is recommended to be set as 0.75 * resources.limits.memory) | "-Xms6144m -Xmx6144m" |
| kafka.resources.requests.cpu | Set the CPU request value of the Kafka instance pod | "2" |
| kafka.resources.requests.memory | Set the memory request value of the Kafka instance pod | "4Gi" |
| kafka.resources.limits.cpu | Set the CPU limit value of the Kafka instance pod | "4" |
| kafka.resources.limits.memory | Set the memory limit value of the Kafka instance pod | "8Gi" |
| KMS | ||
| kms.replicas | Set the number of KMS instance replicas | 2 |
| kms.resources.requests.cpu | Set the CPU request value of the KMS instance pod | "500m" |
| kms.resources.requests.memory | Set the memory request value of the KMS instance pod | "1Gi" |
| kms.resources.limits.cpu | Set the CPU limit value of the KMS instance pod | "1" |
| kms.resources.limits.memory | Set the memory limit value of the KMS instance pod | "2Gi" |
| Redis | ||
| redis.redisFailover.redis.replicas | Set the number of Redis replicas for active/passive switch among Redis instances | 2 |
| redis.redisFailover.redis.resources.requests.cpu | Set the CPU request value of the Redis pod | "150m" |
| redis.redisFailover.redis.resources.requests.memory | Set the memory request value of the Redis pod | "1Gi" |
| redis.redisFailover.redis.resources.limits.cpu | Set the CPU limit value of the Redis pod | "300m" |
| redis.redisFailover.redis.resources.limits.memory | Set the memory limit value of the Redis pod | "2Gi" |
| redis.redisFailover.sentinel.replicas | Set the number of Redis Sentinel replicas | 3 |
| Registry | ||
| registry.storageClassName | Set the Kubernetes StorageClass object corresponding to the storage volume | "dice-local-volume" |
| registry.capacity | Set the single-node storage capacity of Registry, which is scalable according to the actual cluster and business volume | "1000Gi" |
| registry.resources.requests.cpu | Set the CPU request value of the Registry instance pod | "500m" |
| registry.resources.requests.memory | Set the memory request value of the Registry instance pod | "512Mi" |
| registry.resources.limits.cpu | Set the CPU limit value of the Registry instance pod | "1" |
| registry.resources.limits.memory | Set the memory limit value of the Registry instance pod | "1Gi" |
| registry.networkMode | If the value is "host", set the registry container network as host mode | - |
| registry.custom.nodeName | Registry shares the same name with the node deployed in host mode | - |
| registry.custom.nodeIP | Registry shares the same IP address of the node deployed in host mode | - |
| Sonar | ||
| sonar.resources.requests.cpu | Set the CPU request value of the Sonar instance pod | "750m" |
| sonar.resources.requests.memory | Set the memory request value of the Sonar instance pod | "1536Mi" |
| sonar.resources.limits.cpu | Set the CPU limit value of the Sonar instance pod | "1500m" |
| sonar.resources.limits.memory | Set the memory limit value of the Sonar instance pod | "3Gi" |
| volume-provisioner | ||
| volume-provisioner.provisioner.local.path | Local Volume takes this mount point as the storage volume source | /data |
| volume-provisioner.provisioner.nfs.path | FS Volume takes this mount point as the storage volume source | /netdata |
| volume-provisioner.resources.requests.cpu | Set the CPU request value of the volume-provisioner instance pod | "10m" |
| volume-provisioner.resources.requests.memory | Set the memory request value of the volume-provisioner instance pod | "10Mi" |
| volume-provisioner.resources.limits.cpu | Set the CPU limit value of the volume-provisioner instance pod | "100m" |
| volume-provisioner.resources.limits.memory | Set the memory limit value of the volume-provisioner instance pod | "256Mi" |
| Erda | ||
| erda.clusterName | The identifier of the Kubernetes cluster where Erda is deployed | "local-cluster" |
| erda.operator.resources.requests.cpu | Set the CPU request value of the erda-operator instance pod | "10m" |
| erda.operator.resources.requests.memory | Set the memory request value of the erda-operator instance pod | "10Mi" |
| erda.operator.resources.limits.cpu | Set the CPU limit value of the erda-operator instance pod | "100m" |
| erda.operator.resources.limits.memory | Set the memory limit value of the erda-operator instance pod | "128Mi" |
| erda.clusterConfig.protocol | Declare the request protocol of the current Erda cluster, HTTP/HTTPS | http |
| erda.clusterConfig.clusterType | Erda cluster identifier, such as Kubernetes and EDAS | kubernetes |
| erda.component.admin.replicas | The number of erda admin component replicas | 2 |
| erda.component.admin.resources.cpu | The CPU request value of the erda admin component instance pod | "100m" |
| erda.component.admin.resources.mem | The memory request value of the erda admin component instance pod | "128Mi" |
| erda.component.admin.resources.max_cpu | The CPU limit value of the erda admin component instance pod | "200m" |
| erda.component.admin.resources.max_mem | The memory limit value of erda admin component instance pod | "256Mi" |
| erda.component.clusterManager.replicas | The number of erda clusterManager component replicas | 2 |
| erda.component.clusterManager.resources.cpu | The CPU request value of the erda clusterManager component instance pod | "100m" |
| erda.component.clusterManager.resources.mem | The memory request value of the erda clusterManager component instance pod | "128Mi" |
| erda.component.clusterManager.resources.max_cpu | The CPU limit value of the erda clusterManager component instance pod | "200m" |
| erda.component.clusterManager.resources.max_mem | The memory limit value of the erda clusterManager component instance pod | "256Mi" |
| erda.component.collector.replicas | The number of erda collector component replicas | 2 |
| erda.component.collector.resources.cpu | The CPU request value of the erda collector component instance pod | "100m" |
| erda.component.collector.resources.mem | The memory request value of the erda collector component instance pod | "128Mi" |
| erda.component.collector.resources.max_cpu | The CPU limit value of the erda collector component instance pod | "1" |
| erda.component.collector.resources.max_mem | The memory limit value of the erda collector component instance pod | "1024Mi" |
| erda.component.coreServices.replicas | The number of erda coreServices component replicas | 2 |
| erda.component.coreServices.resources.cpu | The CPU request value of the erda coreServices component instance pod | "100m" |
| erda.component.coreServices.resources.mem | The memory request value of the erda coreServices component instance pod | "128Mi" |
| erda.component.coreServices.resources.max_cpu | The CPU limit value of the erda coreServices component instance pod | "300m" |
| erda.component.coreServices.resources.max_mem | The memory limit value of the erda coreServices component instance pod | "512Mi" |
| erda.component.hepa.replicas | The number of erda hepa component replicas | 2 |
| erda.component.hepa.resources.cpu | The CPU request value of the erda hepa component instance pod | "100m" |
| erda.component.hepa.resources.mem | The memory request value of the erda hepa component instance pod | "512Mi" |
| erda.component.hepa.resources.max_cpu | The CPU limit value of the erda hepa component instance pod | "500m" |
| erda.component.hepa.resources.max_mem | The memory limit value of the erda hepa component instance pod | - |
| erda.component.monitor.replicas | The number of erda monitor component replicas | 2 |
| erda.component.monitor.resources.cpu | The CPU request value of the erda monitor component instance pod | "100m" |
| erda.component.monitor.resources.mem | The memory request value of the erda monitor component instance pod | "128Mi" |
| erda.component.monitor.resources.max_cpu | The CPU limit value of the erda monitor component instance pod | "1" |
| erda.component.monitor.resources.max_mem | The memory limit value of the erda monitor component instance pod | "512Mi" |
| erda.component.msp.replicas | The number of erda msp component replicas | 2 |
| erda.component.msp.resources.cpu | The CPU request value of the erda msp component instance pod | "100m" |
| erda.component.msp.resources.mem | The memory request value of the erda msp component instance pod | "128Mi" |
| erda.component.msp.resources.max_cpu | The CPU limit value of the erda msp component instance pod | "1" |
| erda.component.msp.resources.max_mem | The memory limit value of the erda msp component instance pod | "512Mi" |
| erda.component.openapi.replicas | The number of erda openapi component replicas | 2 |
| erda.component.openapi.resources.cpu | The CPU request value of the erda openapi component instance pod | "100m" |
| erda.component.openapi.resources.mem | The memory request value of the erda openapi component instance pod | "128Mi" |
| erda.component.openapi.resources.max_cpu | The CPU limit value of the erda openapi component instance pod | "500m" |
| erda.component.openapi.resources.max_mem | The memory limit value of the erda openapi component instance pod | "512Mi" |
| erda.component.scheduler.replicas | The number of erda scheduler component replicas | 2 |
| erda.component.scheduler.resources.cpu | The CPU request value of the erda scheduler component instance pod | "100m" |
| erda.component.scheduler.resources.mem | The memory request value of the erda scheduler component instance pod | "128Mi" |
| erda.component.scheduler.resources.max_cpu | The CPU limit value of the erda scheduler component instance pod | "1" |
| erda.component.scheduler.resources.max_mem | The memory limit value of the erda scheduler component instance pod | "2048Mi" |
| erda.component.streaming.replicas | The number of erda streaming component replicas | 2 |
| erda.component.streaming.resources.cpu | The CPU request value of the erda streaming component instance pod | "100m" |
| erda.component.streaming.resources.mem | The memory request value of the erda streaming component instance pod | "128Mi" |
| erda.component.streaming.resources.max_cpu | The CPU limit value of the erda streaming component instance pod | "1500m" |
| erda.component.streaming.resources.max_mem | The memory limit value of the erda streaming component instance pod | "1024Mi" |
| erda.component.ui.replicas | The number of erda ui component replicas | 2 |
| erda.component.ui.resources.cpu | The CPU request value of the erda ui component instance pod | "200m" |
| erda.component.ui.resources.mem | The memory request value of the erda ui component instance pod | "256Mi" |
| erda.component.ui.resources.max_cpu | The CPU limit value of the erda ui component instance pod | "1" |
| erda.component.ui.resources.max_mem | The memory limit value of the erda ui component instance pod | "512Mi" |
| erda.component.ucAdaptor.replicas | The number of erda ucAdaptor component replicas | 2 |
| erda.component.ucAdaptor.resources.cpu | The CPU request value of the erda ucAdaptor component instance pod | "100m" |
| erda.component.ucAdaptor.resources.mem | The memory request value of the erda ucAdaptor component instance pod | "64Mi" |
| erda.component.ucAdaptor.resources.max_cpu | The CPU limit value of the erda ucAdaptor component instance pod | "200m" |
| erda.component.ucAdaptor.resources.max_mem | The memory limit value of the erda ucAdaptor component instance pod | - |
| erda.component.uc.replicas | The number of erda uc component replicas | 2 |
| erda.component.uc.resources.cpu | The CPU request value of the erda uc component instance pod | "10m" |
| erda.component.uc.resources.mem | The memory request value of the erda uc component instance pod | "100Mi" |
| erda.component.uc.resources.max_cpu | The CPU limit value of the erda uc component instance pod | "1" |
| erda.component.uc.resources.max_mem | The memory limit value of the erda uc component instance pod | "2048Mi" |
| erda.component.cmp.replicas | The number of erda cmp component replicas | 2 |
| erda.component.cmp.resources.cpu | The CPU request value of the erda cmp component instance pod | "100m" |
| erda.component.cmp.resources.mem | The memory request value of the erda cmp component instance pod | "128Mi" |
| erda.component.cmp.resources.max_cpu | The CPU limit value of the erda cmp component instance pod | "200m" |
| erda.component.cmp.resources.max_mem | The memory limit value of the erda cmp component instance pod | - |
| erda.component.analyzerAlert.resources.cpu | The CPU request value of the erda analyzerAlert component instance pod | "100m" |
| erda.component.analyzerAlert.resources.mem | The memory request value of the erda analyzerAlert component instance pod | "128Mi" |
| erda.component.analyzerAlert.resources.max_cpu | The CPU limit value of the erda analyzerAlert component instance pod | "1" |
| erda.component.analyzerAlert.resources.max_mem | The memory limit value of the erda analyzerAlert component instance pod | "1024Mi" |
| erda.component.analyzerAlertTask.resources.cpu | The CPU request value of the erda analyzerAlertTask component instance pod | "100m" |
| erda.component.analyzerAlertTask.resources.mem | The memory request value of the erda analyzerAlertTask component instance pod | "128Mi" |
| erda.component.analyzerAlertTask.resources.max_cpu | The CPU limit value of the erda analyzerAlertTask component instance pod | "1" |
| erda.component.analyzerAlertTask.resources.max_mem | The memory limit value of the erda analyzerAlertTask component instance pod | "2048Mi" |
| erda.component.analyzerErrorInsight.resources.cpu | The CPU request value of the erda analyzerErrorInsight component instance pod | "100m" |
| erda.component.analyzerErrorInsight.resources.mem | The memory request value of the erda analyzerErrorInsight component instance pod | "128Mi" |
| erda.component.analyzerErrorInsight.resources.max_cpu | The CPU limit value of the erda analyzerErrorInsight component instance pod | "1" |
| erda.component.analyzerErrorInsight.resources.max_mem | The memory limit value of the erda analyzerErrorInsight component instance pod | "2048Mi" |
| erda.component.analyzerErrorInsightTask.resources.cpu | The CPU request value of the erda analyzerErrorInsightTask component instance pod | "100m" |
| erda.component.analyzerErrorInsightTask.resources.mem | The memory request value of the erda analyzerErrorInsightTask component instance pod | "128Mi" |
| erda.component.analyzerErrorInsightTask.resources.max_cpu | The CPU limit value of the erda analyzerErrorInsightTask component instance pod | "1" |
| erda.component.analyzerErrorInsightTask.resources.max_mem | The memory limit value of the erda analyzerErrorInsightTask component instance pod | "2048Mi" |
| erda.component.analyzerMetrics.resources.cpu | The CPU request value of the erda analyzerMetrics component instance pod | "100m" |
| erda.component.analyzerMetrics.resources.mem | The memory request value of the erda analyzerMetrics component instance pod | "128Mi" |
| erda.component.analyzerMetrics.resources.max_cpu | The CPU limit value of the erda analyzerMetrics component instance pod | "1" |
| erda.component.analyzerMetrics.resources.max_mem | The memory limit value of the erda analyzerMetrics component instance pod | "2048Mi" |
| erda.component.analyzerMetricsTask.resources.cpu | The CPU request value of the erda analyzerMetricsTask component instance pod | "100m" |
| erda.component.analyzerMetricsTask.resources.mem | The memory request value of the erda analyzerMetricsTask component instance pod | "128Mi" |
| erda.component.analyzerMetricsTask.resources.max_cpu | The CPU limit value of the erda analyzerMetricsTask component instance pod | "1" |
| erda.component.analyzerMetricsTask.resources.max_mem | The memory limit value of the erda analyzerMetricsTask component instance pod | "2048Mi" |
| erda.component.analyzerTracing.resources.cpu | The CPU request value of the erda analyzerTracing component instance pod | "100m" |
| erda.component.analyzerTracing.resources.mem | The memory request value of the erda analyzerTracing component instance pod | "128Mi" |
| erda.component.analyzerTracing.resources.max_cpu | The CPU limit value of the erda analyzerTracing component instance pod | "500m" |
| erda.component.analyzerTracing.resources.max_mem | The memory limit value of the erda analyzerTracing component instance pod | "1024Mi" |
| erda.component.analyzerTracingTask.resources.cpu | The CPU request value of the erda analyzerTracingTask component instance pod | "100m" |
| erda.component.analyzerTracingTask.resources.mem | The memory request value of the erda analyzerTracingTask component instance pod | "128Mi" |
| erda.component.analyzerTracingTask.resources.max_cpu | The CPU limit value of the erda analyzerTracingTask component instance pod | "1" |
| erda.component.analyzerTracingTask.resources.max_mem | The memory limit value of the erda analyzerTracingTask component instance pod | "2048Mi" |
| erda.component.actionRunnerScheduler.resources.cpu | The CPU request value of the erda actionRunnerScheduler component instance pod | "100m" |
| erda.component.actionRunnerScheduler.resources.mem | The memory request value of the erda actionRunnerScheduler component instance pod | "128Mi" |
| erda.component.actionRunnerScheduler.resources.max_cpu | The CPU limit value of the erda actionRunnerScheduler component instance pod | "300m" |
| erda.component.actionRunnerScheduler.resources.max_mem | The memory limit value of the erda actionRunnerScheduler component instance pod | - |
| erda.component.clusterAgent.resources.cpu | The CPU request value of the erda clusterAgent component instance pod | "100m" |
| erda.component.clusterAgent.resources.mem | The memory request value of the erda clusterAgent component instance pod | "128Mi" |
| erda.component.clusterAgent.resources.max_cpu | The CPU limit value of the erda clusterAgent component instance pod | "1" |
| erda.component.clusterAgent.resources.max_mem | The memory limit value of the erda clusterAgent component instance pod | "1024Mi" |
| erda.component.clusterDialer.resources.cpu | The CPU request value of the erda clusterDialer component instance pod | "100m" |
| erda.component.clusterDialer.resources.mem | The memory request value of the erda clusterDialer component instance pod | "128Mi" |
| erda.component.clusterDialer.resources.max_cpu | The CPU limit value of the erda clusterDialer component instance pod | "2" |
| erda.component.clusterDialer.resources.max_mem | The memory limit value of the erda clusterDialer component instance pod | "2048Mi" |
| erda.component.dicehub.resources.cpu | The CPU request value of the erda dicehub component instance pod | "100m" |
| erda.component.dicehub.resources.mem | The memory request value of the erda dicehub component instance pod | "128Mi" |
| erda.component.dicehub.resources.max_cpu | The CPU limit value of the erda dicehub component instance pod | "150m" |
| erda.component.dicehub.resources.max_mem | The memory limit value of the erda dicehub component instance pod | "1024Mi" |
| erda.component.dop.resources.cpu | The CPU request value of the erda dop component instance pod | "100m" |
| erda.component.dop.resources.mem | The memory request value of the erda dop component instance pod | "128Mi" |
| erda.component.dop.resources.max_cpu | The CPU limit value of the erda dop component instance pod | "1" |
| erda.component.dop.resources.max_mem | The memory limit value of the erda dop component instance pod | "2048Mi" |
| erda.component.eventbox.resources.cpu | The CPU request value of the erda eventbox component instance pod | "100m" |
| erda.component.eventbox.resources.mem | The memory request value of the erda eventbox component instance pod | "128Mi" |
| erda.component.eventbox.resources.max_cpu | The CPU limit value of the erda eventbox component instance pod | "2" |
| erda.component.eventbox.resources.max_mem | The memory limit value of the erda eventbox component instance pod | "2560Mi" |
| erda.component.filebeat.resources.cpu | The CPU request value of the erda filebeat component instance pod | "100m" |
| erda.component.filebeat.resources.mem | The memory request value of the erda filebeat component instance pod | "128Mi" |
| erda.component.filebeat.resources.max_cpu | The CPU limit value of the erda filebeat component instance pod | "1" |
| erda.component.filebeat.resources.max_mem | The memory limit value of the erda filebeat component instance pod | "512Mi" |
| erda.component.gittar.resources.cpu | The CPU request value of the erda gittar component instance pod | "100m" |
| erda.component.gittar.resources.mem | The memory request value of the erda gittar component instance pod | "128Mi" |
| erda.component.gittar.resources.max_cpu | The CPU limit value of the erda gittar component instance pod | "1" |
| erda.component.gittar.resources.max_mem | The memory limit value of the erda gittar component instance pod | "1536Mi" |
| erda.component.pipeline.replicas | The number of erda pipeline component replicas | 2 |
| erda.component.pipeline.resources.cpu | The CPU request value of the erda pipeline component instance pod | "100m" |
| erda.component.pipeline.resources.mem | The memory request value of the erda pipeline component instance pod | "128Mi" |
| erda.component.pipeline.resources.max_cpu | The CPU limit value of the erda pipeline component instance pod | "1" |
| erda.component.pipeline.resources.max_mem | The memory limit value of the erda pipeline component instance pod | "1536Mi" |
| erda.component.telegraf.resources.cpu | The CPU request value of the erda telegraf component instance pod | "100m" |
| erda.component.telegraf.resources.mem | The memory request value of the erda telegraf component instance pod | "128Mi" |
| erda.component.telegraf.resources.max_cpu | The CPU limit value of the erda telegraf component instance pod | "500m" |
| erda.component.telegraf.resources.max_mem | The memory limit value of the erda telegraf component instance pod | "512Mi" |
| erda.component.telegrafApp.resources.cpu | The CPU request value of the erda telegrafApp component instance pod | "100m" |
| erda.component.telegrafApp.resources.mem | The memory request value of the erda telegrafApp component instance pod | "128Mi" |
| erda.component.telegrafApp.resources.max_cpu | The CPU limit value of the erda telegrafApp component instance pod | "500m" |
| erda.component.telegrafApp.resources.max_mem | The memory limit value of the erda telegrafApp component instance pod | "512Mi" |
| erda.component.telegrafPlatform.resources.cpu | The CPU request value of the erda telegrafPlatform component instance pod | "100m" |
| erda.component.telegrafPlatform.resources.mem | The memory request value of the erda telegrafPlatform component instance pod | "128Mi" |
| erda.component.telegrafPlatform.resources.max_cpu | The CPU limit value of the erda telegrafPlatform component instance pod | "1" |
| erda.component.telegrafPlatform.resources.max_mem | The memory limit value of the erda telegrafPlatform component instance pod | "1536Mi" |
| erda.component.orchestrator.resources.cpu | The CPU request value of the erda orchestrator component instance pod | "100m" |
| erda.component.orchestrator.resources.mem | The memory request value of the erda orchestrator component instance pod | "128Mi" |
| erda.component.orchestrator.resources.max_cpu | The CPU limit value of the erda orchestrator component instance pod | "1" |
| erda.component.orchestrator.resources.max_mem | The memory limit value of the erda orchestrator component instance pod | "256Mi" |
# Configuration Parameter for Core Data Storage Component
For clusters with different node number, please refer to the following parameter configuration of Cassandra, Elasticsearch, Kafka and other storage components in high-availability mode.
| Cluster Size | 0～50 Nodes | 50～100 Nodes | 100～200 Nodes | 200～300 Nodes | 300+ Nodes |
|---|---|---|---|---|---|
| Cassandra | |||||
| cassandra.resources.requests.cpu | "1" | "2" | "4" | "4" | "4" |
| cassandra.resources.requests.memory | "6Gi" | "12Gi" | "16Gi" | "16Gi" | "16Gi" |
| cassandra.resources.limits.cpu | "2" | "4" | "6" | "6" | "6" |
| cassandra.resources.limits.memory | "12Gi" | "16Gi" | "24Gi" | "24Gi" | "24Gi" |
| cassandra.capacity | 512G | 1T | 1.5T | 1.5T | 2T |
| cassandra.racks | - name: rack1 - name: rack2 - name: rack3 | - name: rack1 - name: rack2 - name: rack3 | - name: rack1 - name: rack2 - name: rack3 | - name: rack1 - name: rack2 - name: rack3 - name: rack4 - name: rack5 | - name: rack1 - name: rack2 - name: rack3 - name: rack4 - name: rack5 - name: rack6 - name: rack7 |
| Elasticsearch | |||||
| elasticsearch.resources.requests.cpu | "1" | "2" | "4" | "4" | "4" |
| elasticsearch.resources.requests.memory | "4Gi" | "8Gi" | "16Gi" | "16Gi" | "16Gi" |
| elasticsearch.resources.limits.cpu | "2" | "4" | "6" | "6" | "6" |
| elasticsearch.resources.limits.memory | "8Gi" | "16Gi" | "24Gi" | "24Gi" | "24Gi" |
| elasticsearch.capacity | 512G | 768G | 1T | 1.5T | 1.5T |
| elasticsearch.replicas | 3 | 3 | 3 | 3 | 5 |
| elasticsearch.numberOfMasters | 2 | 2 | 2 | 2 | 3 |
| Kafka | |||||
| kafka.resources.requests.cpu | "0.5" | "1" | "1" | "1" | "2" |
| kafka.resources.requests.memory | "1Gi" | "2Gi" | "2Gi" | “2Gi" | "4Gi" |
| kafka.resources.limits.cpu | "1" | "2" | "2" | "2" | "4" |
| kafka.resources.limits.memory | "2Gi" | "4Gi" | "4Gi" | "4Gi" | "8Gi" |
| kafka.capacity | 150G | 150G | 200G | 300G | 300G |
# How to Connect to Existing Middleware
Erda relies on a variety of middleware, such as Elasticsearch, MySQL, Kafka and Registry, some of which can be configured as existing instance without installation.
Tips
- Currently only external MySQL is supported for connection, and connection for other middleware (such as Kafka and Elasticsearch) is coming soon.
- When connecting to external MySQL, the version needs to be at least 5.7.9, and the default character should be utf8m64 for database.
You can modify the values.yaml in Erda Chart package by adding the following fields to connect to external MySQL:
mysql:
enabled: false
custom:
address: # eg: 192.168.100.100
port: # eg: 3306
database: # eg: erda
user: # eg: root
password: # eg: HasdDwqwe23#
After adding the above configuration, the MySQL database provided by user can be directly applied with no need to deploy MySQL component.
The specific parameters are as follows:
| Parameter | Description |
|---|---|
| mysql.enabled | Set as false when connecting to external MySQL |
| mysql.custom.address | Connect to the MySQL host address provided by the user |
| mysql.custom.port | Connect to the MySQL host port provided by the user |
| mysql.custom.databases | Connect to the MySQL database provided by the user |
| mysql.custom.user | Connect to the user name of MySQL database provided by the user |
| mysql.custom.password | Connect to the password corresponding to the user name of MySQL database provided by the user |
# How to Save Private Configuration
Using the parameter configuration in the values.yaml file to deploy Helm Chart is the easiest way, but it cannot meet all situations. You can adjust parameter configuration in the following ways:
- Option 1 (recommended): Add modified parameters to the customized
values.yamlfile and run-fto specify the file when install or upgrade Helm. - Option 2: Run
--setto set parameter value when install or upgrade Helm. However,--setcannot make persistence configuration, which may lead to inconsistent parameter settings of upgrade and installation. - Option 3: Modify parameter values of the
values.yamlfile in the Helm Chart package. But in the case of a huge amount of parameters, it is difficult to quickly confirm whether the parameters need to be, or have been modified.