Getting Started with Obsrv Deployment Using Helm

Sunbird Obsrv is a high-performance, cost-effective data stack with several components such as ingestion, querying, processing, backup, visualisation and monitoring. Obsrv 2.0 can be either installed using Terraform (Infrastructure as Code tool) or using Helm (Kubernets Package Manager).

Prerequisites

Obsrv runs completely on a Kubernetes cluster. A completely functional Kubernetes cluster is expected for a seamless Obsrv installation.

Hardware

Obsrv can support a volume of 5 million events per day with an average size of each event to be around 5 kb with the following specifications.

Kubernetes version of 1.25 or greater
Minimum of 16 cores of CPU
Minimum of 64 GB of RAM
PersistentVolume support in the Kubernetes cluster
Support for LoadBalancer service to externally expose some of the Obsrv services. Popular implementations such as MetalLB or Traefik can be used to expose the services using external IPs.

Software

Helm

curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3
chmod 700 get_helm.sh
./get_helm.sh

Helm Dependencies

Run the following helm repo add command to download the required dependencies for running Obsrv.

# Example
helm repo add prometheus https://prometheus-community.github.io/helm-charts

monitoring - https://prometheus-community.github.io/helm-charts
redis - https://charts.bitnami.com/bitnami
loki (version - 4.8.0 ) - https://grafana.github.io/helm-charts
promtail (version - 6.9.3 ) - https://grafana.github.io/helm-charts
velero (version - 3.1.6 ) - https://vmware-tanzu.github.io/helm-charts

Source Code

Clone the obsrv-automation github repository. The required list of helm charts to deploy Obsrv will be under the terraform/modules/helm directory.

git clone https://github.com/Sunbird-Obsrv/obsrv-automation.git
cd obsrv-automation/terraform/modules/helm

Resources and Services

Please be advised that the list of resources will be completely different for different cloud service providers.

Common

The following list of buckets/containers need to be created for different services to store the data. This is applicable to Object Storage such as MinIO/Ceph as well.

flink-checkpoints
velero-backup
obsrv

AWS

IAM role with AmazonS3FullAccess policy. Services such as Api, Druid, Flink, Secor need to read and write access to S3 buckets.

Velero is a service which provides backups of the entire Obsrv cluster state through snapshots. Velero backup service needs a restricted user access to upload the snapshot state onto S3. The following IAM role policy needs to be attached to user created for velero backup. The access keys needs to be generated for the velero backup user as well.

{
"Statement": [
    {
    "Action": [
        "ec2:DescribeVolumes",
        "ec2:DescribeSnapshots",
        "ec2:CreateTags",
        "ec2:CreateVolume",
        "ec2:CreateSnapshot",
        "ec2:DeleteSnapshot"
    ],
    "Effect": "Allow",
    "Resource": "*"
    },
    {
    "Action": [
        "s3:GetObject",
        "s3:DeleteObject",
        "s3:PutObject",
        "s3:AbortMultipartUpload",
        "s3:ListMultipartUploadParts"
    ],
    "Effect": "Allow",
    "Resource": [
        "arn:aws:s3:::<velero-s3-container-name>/*"
    ]
    },
    {
    "Action": [
        "s3:ListBucket"
    ],
    "Effect": "Allow",
    "Resource": [
        "arn:aws:s3:::<velero-s3-container-name>"
    ]
    }
],
"Version": "2012-10-17"
}

Serive Accounts: Service accounts enable access of the S3 object storage without the need for the access keys. If you prefer to use keys instead, you can skip the creation of service accounts. The list of service accounts needed

Dataset API with the name dataset-api-sa
Druid with the name druid-raw-sa
Flink with the name flink-sa
Secor with the name secor-sa

Deployment Instructions

Helm package manager provides an easy way to install specific components using a generic command. Configurations can be overriden by updating the values.yaml file in the respective Helm charts.

helm upgrade --install --atomic <release_name> <chart_name> -n <namespace> -f <path/values.yaml> --create-namespace --debug

Prerequisites

Kubernetes Cluster Access

Helm package manager needs access to the Kubernetes cluster. The path to the KUBECONFIG file needs to be exported as an environment variable, either in the current shell or in environment configuration files such as .bashrc

export KUBECONFIG=<path_to_kubeconfig file>

Postgres

Postgres is a RDBMS database which is used as the metadata store

helm upgrade --install --atomic postgresql postgresql/postgresql-helm-chart -n postgresql --create-namespace --debug

Redis

Redis is an in-memory key-value store primarily used as a distributed cache

helm upgrade --install --atomic obsrv-redis redis/redis -n redis -f redis/values.yaml --create-namespace --debug

Prometheus

Prometheus is a monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

helm upgrade --install --atomic monitoring monitoring/kube-prometheus-stack -n monitoring -f monitoring/values.yaml --create-namespace --debug

Kafka

Apache Kafka is a distributed event store and stream-processing platform.

helm upgrade --install --atomic kafka kafka/kafka-helm-chart -n kafka --create-namespace --debug

The following list of kafka topics are created by default. If you would like to add more topics to the list, you can do so by adding it to provisioning.topics configuration in the values.yaml file.

dev.ingest
masterdata.ingest

Druid

Druid is a high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale

Druid CRD

helm upgrade --install --atomic druid-operator druid_operator/druid-operator-helm-chart -n druid-raw --create-namespace --debug

Druid Cluster

Druid requires the following set of configurations to be provided for specific storage systems such as AWS S3, Azure Blob Storage, GCP Storage or MinIO/Ceph

AWS

druid_deepstorage_type: s3
druid.extensions.loadList: ["druid-s3-extensions"]
# S3 Access keys
s3_access_key: ""
s3_secret_key: ""
s3_bucket: "obsrv"

MinIO/Ceph

druid_deepstorage_type: s3
druid.extensions.loadList: ["druid-s3-extensions"]
# S3 Access keys
s3_access_key: ""
s3_secret_key: ""
# Use the ClusterIP of the MinIO service instead of the Kubernetes service name
# We have noticed that the service names don't resolve properly
druid_s3_endpoint_url: http://172.20.126.232:9000/
s3_bucket: "obsrv"
druid_s3_endpoint_signingRegion: "us-east-2"

Azure

druid.extensions.loadList: ["druid-azure-extensions"]
druid_deepstorage_type: azure
azure_storage_account_name: ""
azure_storage_account_key: ""
azure_storage_container: "obsrv"

GCP

druid.extensions.loadList: ["druid-google-extensions"]
druid_deepstorage_type: google
# Google cloud credentials json file where the access_token and credentials are stored.
google_application_credentials: 
gcs_bucket: "obsrv"

Hadoop

druid_deepstorage_type: "hdfs"
# Include the "druid-hdfs-storage" extension as part of the existing the extensions list
druid.extensions.loadList: ["druid-hdfs-storage"]
druid.indexer.logs.directory: "/druid/indexing-logs"
druid.storage.storageDirectory: "/druid/segments"

helm upgrade --install --atomic druid-raw druid_raw_cluster/druid-raw-cluster-helm-chart -n druid-raw --create-namespace --debug

API

This service provides metadata APIs related to various resources such as datasets/datasources in Obsrv. The following configurations need to be specified in the values.yaml file.

AWS

exhaust_service.CONTAINER: obsrv
exhaust_service.CONTAINER_STORAGE_PROVIDER: aws
exhaust_service.CONTAINER_STORAGE_REGION: us-east-2

helm upgrade --install --atomic dataset-api dataset_api/dataset-api-helm-chart -n dataset-api --create-namespace --debug

Flink Streaming Jobs

Flink jobs are used to process and enrich the data ingested into Obsrv in near-realtime.

Configuration Overrides

AWS

checkpoint_store_type: s3
# S3 Access keys
s3_access_key: ""
s3_secret_key: ""
# Under base_config in the values.yaml
base.url: s3://flink-checkpoints

MinIO/Ceph

checkpoint_store_type: s3
# S3 Access keys
s3_access_key: ""
s3_secret_key: ""
# Use the ClusterIP of the MinIO service instead of the Kubernetes service name
# We have noticed that the service names don't resolve properly
s3_endpoint:  http://172.20.126.232:9000/
# Under base_config in the values.yaml
base.url: s3://flink-checkpoints

Azure

checkpoint_store_type: azure
azure_account: ""
azure_secret: ""
# Under base_config in the values.yaml
base.url: blob://flink-bucket

GCP

checkpoint_store_type: gcp
# Google cloud credentials json file where the access_token and credentials are stored.
google_application_credentials: ""
base.url: blob://flink-bucket

Hadoop

checkpoint_store_type: hdfs
# Under base_config in the values.yaml
base.url: hdfs:///flink-bucket/

Flink Merged Pipeline Job

helm upgrade --install --atomic merged-pipeline flink/flink-helm-chart -n flink --set image.registry=sunbird --set image.repository=sb-obsrv-merged-pipeline --create-namespace --debug

Flink Master Data Processor Job

helm upgrade --install --atomic master-data-processor flink/flink-helm-chart -n flink --set image.registry=sunbird --set image.repository=sb-obsrv-master-data-processor --create-namespace --debug

Backup Processes

Secor

Configuration Overrides

AWS

# S3 upload manager which is responsible to upload backup to deepstorage.
upload_manager: com.pinterest.secor.uploader.S3UploadManager
cloud_store_provider: S3
aws_access_key: ""
aws_secret_key: ""
aws_region: us-east-2

MinIO/Ceph

# S3 upload manager which is responsible to upload backup to deepstorage.
upload_manager: com.pinterest.secor.uploader.S3UploadManager
cloud_store_provider: S3
aws_access_key: ""
aws_secret_key: ""
# Use the ClusterIP of the MinIO service instead of the Kubernetes service name
# We have noticed that the service names don't resolve properly
aws_endpoint: http://172.20.126.232:9000/
aws_region: us-east-2

Azure

upload_manager: com.pinterest.secor.uploader.AzureUploadManager
cloud_store_provider: Azure
azure_account_name: ""
azure_account_key: ""

GCP

upload_manager: com.pinterest.secor.uploader.GsUploadManager
# Credentials path where access token and secrets are stored.
gs_credentials_path: google_app_credentials.json

Hadoop

upload_manager: com.pinterest.secor.uploader.HadoopS3UploadManager
# Ensure the secor.s3.filesystem property is updated with the `hdfs` value
cloud_store_provider=hdfs
cloud_storage_bucket=namenode-host:8020/dir_path
# For More details please check here - https://github.com/pinterest/secor/issues/129

Secor backups are performed from various kafka topics which are part of the data processing pipeline. The following list of backup names need to be replaced in the below mentioned command.

List of backup names

ingest-backup
extractor-duplicate-backup
extractor-failed-backup
raw-backup
failed-backup
invalid-backup
unique-backup
duplicate-backup
denorm-backup
denorm-failed-backup
system-stats
system-events

helm upgrade --install --atomic <backup_name> secor/secor-helm-chart -n secor --create-namespace

Velero

helm upgrade --install --atomic velero velero/velero -n velero -f velero/values.yaml --create-namespace --debug --version 3.1.6

Monitoring Services

Monitoring Dashboards

helm upgrade --install --atomic grafana-configs grafana_configs/grafana-configs-helm-chart -n monitoring --create-namespace --debug

Monitoring Alert Rules

helm upgrade --install --atomic alertrules alert_rules/alert-rules-helm-chart -n monitoring --create-namespace --debug

Druid Exporter

helm upgrade --install --atomic druid-exporter druid_exporter/druid-exporter-helm-chart -n druid-raw --create-namespace --debug

Kafka Exporter

helm upgrade --install --atomic kafka-exporter kafka_exporter/kafka-exporter-helm-chart -n kafka --create-namespace --debug

Postgres Exporter

helm upgrade --install --atomic postgresql-exporter postgresql_exporter/postgresql-exporter-helm-chart -n postgresql --create-namespace --debug

Loki

helm upgrade --install --atomic loki loki/loki -n loki -f loki/values.yaml --create-namespace --debug --version 4.8.0

Promtail

helm upgrade --install --atomic promtail promtail/promtail -n loki -f promtail/values.yaml --create-namespace --debug --version 6.9.3

Ingestion

This helm chart is used to submit the default ingestion tasks required for the system statistics events

helm upgrade --install --atomic submit-ingestion submit_ingestion/submit-ingestion-helm-chart -n submit-ingestion --create-namespace --debug

Visualization

Superset

helm upgrade --install --atomic superset superset/superset-helm-chart -n superset --create-namespace --debug

Loadbalancers

Following is a list of services which are exposed as a LoadBalancer service.

Component

Service Name

Description

Dataset API

service/dataset-api-service

Meta APIs

Superset

service/superset

Data Visualization Tool

Post Deployment

Please find documentation related to various application level functionalities in Obsrv below

PreviousObsrv 2.0 Installation Guide NextSystem Requirements

Last updated 2 years ago

Was this helpful?