J Release images

Component	Image	Tag
TEIV Exposure	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-teiv-exposure	0.0.1
TEIV Ingestion	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-teiv-ingestion	0.0.1

Run using docker-compose

A sample docker-compose deployment is available to down load from https://gerrit.o-ran-sc.org/r/gitweb?p=smo/teiv.git;a=tree;f=docker-compose;h=refs/heads/j-release

docker-compose

#
# ============LICENSE_START=======================================================
# Copyright (C) 2024 Ericsson
# Modifications Copyright (C) 2024 OpenInfra Foundation Europe
# ================================================================================
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# SPDX-License-Identifier: Apache-2.0
# ============LICENSE_END=========================================================
#
services:

  dbpostgresql:
    container_name: dbpostgresql
    image: postgis/postgis:13-3.4-alpine
    ports:
      - ${DB_PORT:-5432}:5432
    volumes:
      - ./sql_scripts:/docker-entrypoint-initdb.d
    environment:
      POSTGRES_DB: topology_exposure_db
      POSTGRES_USER: ${DB_USERNAME:-topology_exposure_user}
      POSTGRES_PASSWORD: ${DB_PASSWORD:-dbpassword}
    restart: always
    deploy:
      resources:
        reservations:
          cpus: '1'
          memory: 1G
        limits:
          cpus: '6'
          memory: 3G

  topology-exposure-inventory:
    container_name: topology-exposure-inventory
    image: o-ran-sc/smo-teiv-exposure:0.0.1 # j-release version
    ports:
      - 31074:8080
    depends_on:
      - dbpostgresql
    deploy:
      resources:
        reservations:
          cpus: '2'
          memory: 2G
        limits:
          cpus: '3'
          memory: 3G

  topology-ingestion-inventory:
    container_name: topology-ingestion-inventory
    image: o-ran-sc/smo-teiv-ingestion:0.0.1 # j-release version
    depends_on:
      - dbpostgresql
    deploy:
      resources:
        reservations:
          cpus: '2'
          memory: 2G
        limits:
          cpus: '3'
          memory: 3G

  zookeeper:
    image: confluentinc/cp-zookeeper:6.2.1
    container_name: zookeeper
    ports:
      - '2181:2181'
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181

  kafka:
    image: confluentinc/cp-kafka:7.6.1
    container_name: kafka
    ports:
      - '9093:9093'
    depends_on:
      - zookeeper
    environment:
      KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9092,OUTSIDE://localhost:9093
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_BROKER_ID: 1
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

  kafka2:
    image: confluentinc/cp-kafka:7.6.1
    container_name: kafka2
    depends_on:
      - zookeeper
    environment:
      KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka2:9094
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_BROKER_ID: 2
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

  kafka3:
    image: confluentinc/cp-kafka:7.6.1
    container_name: kafka3
    depends_on:
      - zookeeper
    environment:
      KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka3:9096
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_BROKER_ID: 3
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

To execute this docker-compose script simply navigate to the directory containing the script and execute:

docker-compose up -d

Sample scripts to pre-load the TEIV registry with some sample models/schemas/data are also available in the 'docker-compose/' directory in the repo mentioned above.