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Sample configuration for AWS EC2 handling 25k Obcerv entities and 10k metrics/sec (small) with NGINX Ingress controller
Download this sample AWS EC2 handling 25k Obcerv entities and 10k metrics/sec (small) configuration provided by ITRS.
# Example Obcerv configuration for AWS EC2 handling 25k Obcerv entities and 10k metrics/sec.
#
# Nodes: (4) c5.4xlarge (16CPU, 32GB)
#
# The resource requests total ~33 cores and ~89GiB memory (assuming collection-agent DaemonSet runs on 3 nodes)
# and includes Linkerd resources.
#
# Disk requirements:
# - Timescale:
# - 4 x 512 GiB timeseries data disk for each replica (x3)
# - 50 GiB data disk for each replica (x3)
# - 50 GiB WAL disk for each replica (x3)
# - Kafka: 100 GiB for each replica (x3)
# - Loki: 30 GiB for each replica (x1)
# - Zookeeper: 1 GiB for each replica (x3)
# - etcd: 1 GiB for each replica (x3)
# - Downsampled Metrics:
# - Raw: 5 GiB for each replica (x3)
# - Bucketed: 5 GiB for each replica (x3)
#
# The configuration references a default storage class named `gp3` which uses EBS gp3 volumes. This storage class should
# be configured with the default minimum gp3 settings of 3000 IOPS and 125 MiB/s throughput - you can create
# this class or change the config to use a class of your own, but it should be similar in performance.
#
# This configuration is based upon a certain number of Obcerv entities, average metrics per entity, and
# average metrics collection interval. The following function can be used to figure out what type of load to expect:
#
# metrics/sec = (Obcerv entities * metrics/entity) / average metrics collection interval
#
# In this example configuration, we have the following:
#
# 10,000 metrics/sec = (25,000 Obcerv entities * 4 metrics/entity) / 10 seconds average metrics collection interval
#
defaultStorageClass: "gp3"
apps:
externalHostname: "obcerv.mydomain.internal"
ingress:
annotations:
kubernetes.io/ingress.class: "nginx"
nginx.org/mergeable-ingress-type: "master"
ingestion:
externalHostname: "obcerv-ingestion.mydomain.internal"
replicas: 2
ingress:
annotations:
kubernetes.io/ingress.class: "nginx"
nginx.ingress.kubernetes.io/backend-protocol: "GRPC"
resources:
requests:
memory: "512Mi"
cpu: "500m"
limits:
memory: "512Mi"
cpu: "500m"
iam:
ingress:
annotations:
kubernetes.io/ingress.class: "nginx"
nginx.org/mergeable-ingress-type: "minion"
zookeeper:
replicas: 3
resources:
requests:
memory: "256Mi"
cpu: "200m"
limits:
memory: "512Mi"
cpu: "200m"
kafka:
replicas: 3
diskSize: "100Gi"
defaultPartitions: 12
consumer:
fetchMaxWaitMs: 250
fetchMinBytes: 524288
resources:
requests:
memory: "3Gi"
cpu: "1"
limits:
memory: "3Gi"
cpu: "2"
timescale:
clusterSize: 3
dataDiskSize: "50Gi"
timeseriesDiskCount: 4
timeseriesDiskSize: "512Gi"
walDiskSize: "50Gi"
resources:
requests:
memory: "14Gi"
cpu: "2"
limits:
memory: "14Gi"
cpu: "4"
compressAfter: 3h
retention:
entity_attributes:
chunkSize: 2d
retention: 1y
metrics:
chunkSize: 8h
retention: 30d
metrics_5m:
chunkSize: 1d
retention: 90d
metrics_1h:
chunkSize: 5d
retention: 180d
metrics_1d:
chunkSize: 20d
retention: 1y
statuses:
chunkSize: 7d
retention: 1y
signal_details:
chunkSize: 7d
retention: 30d
loki:
diskSize: "30Gi"
sinkd:
replicas: 1
rawReplicas: 1
resources:
requests:
memory: "1Gi"
cpu: "250m"
limits:
memory: "1Gi"
cpu: "400m"
rawResources:
requests:
memory: "1Gi"
cpu: "250m"
limits:
memory: "1Gi"
cpu: "400m"
platformd:
replicas: 2
resources:
requests:
memory: "1536Mi"
cpu: "1"
limits:
memory: "2Gi"
cpu: "1500m"
dpd:
replicas: 1
jvmOpts: "-Xmx2G -XX:NewSize=1G"
metricsMultiplexer:
maxFilterResultCacheSize: 200000
maxConcurrentOps: 100
localParallelism: 6
selfMonitoringThresholds:
metrics_partition_lag_warn: 100000
metrics_partition_lag_critical: 500000
resources:
requests:
memory: "3Gi"
cpu: "2"
limits:
memory: "3500Mi"
cpu: "3"
metricForecastd:
resources:
requests:
memory: "512Mi"
cpu: "250m"
limits:
memory: "768Mi"
cpu: "500m"
downsampledMetricsStream:
replicas: 2
bucketedReplicas: 2
jvmOpts: "-XX:InitialRAMPercentage=50 -XX:MaxRAMPercentage=50"
resources:
requests:
memory: "1Gi"
cpu: "750m"
limits:
memory: "1536Mi"
cpu: "1"
bucketedResources:
requests:
memory: "1536Mi"
cpu: "1"
limits:
memory: "1536Mi"
cpu: "1500m"
entityStream:
intermediate:
resources:
requests:
memory: "768Mi"
cpu: "300m"
limits:
memory: "1Gi"
cpu: "500m"
final:
resources:
requests:
memory: "512Mi"
cpu: "300m"
limits:
memory: "1536Mi"
cpu: "500m"
signalsStream:
resources:
requests:
memory: "512Mi"
cpu: "150m"
limits:
memory: "768Mi"
cpu: "300m"
etcd:
replicas: 3
collection:
metrics:
resources:
requests:
memory: "768Mi"
cpu: "200m"
limits:
memory: "1Gi"
cpu: "250m"
["Obcerv"]
["User Guide", "Technical Reference"]