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* add docker-compose.yml testing and readme for integration to 2.9

Signed-off-by: YANGDB <[email protected]>

* move the screenshots down to the lower part of the README.md file

Signed-off-by: YANGDB <[email protected]>

---------

Signed-off-by: YANGDB <[email protected]>
(cherry picked from commit b4d589c)

Co-authored-by: YANGDB <[email protected]>
(cherry picked from commit 620cdef)
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opensearch-trigger-bot[bot] authored and A9 Swift Project User committed Oct 12, 2023
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3 changes: 3 additions & 0 deletions .env
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# version for opensearch & opensearch-dashboards docker image
VERSION=2.9.0

45 changes: 45 additions & 0 deletions DEVELOPER_GUIDE.md
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## Developer Guide

So you want to contribute code to this project? Excellent! We're glad you're here. Here's what you need to do.

### Setup

1. Git clone OpenSearch-Dashboard for the version that matches the version you want to use [OpenSearch-Dashboards](https://github.com/opensearch-project/OpenSearch-Dashboards)
2. Change your node version to the version specified in `.node-version` inside the OpenSearch Dashboards root directory. (using [nvm](https://github.com/nvm-sh/nvm) can help for that)
3. Change directory into `OpenSearch-Dashboards` and git Clone the [Observability-Dashboard](https://github.com/opensearch-project/dashboards-observability) into the `plugins/` directory.
4. Run `yarn osd bootstrap` inside `OpenSearch-Dashboards`.

Ultimately, your directory structure should look like this:

```md
.
├── OpenSearch-Dashboards
│ └── plugins
│ └── dashboards-observability
```

### Build

To build the plugin's distributable zip simply run `yarn build`.

The output file : `./build/observabilityDashboards-?.?.?.zip` (`?.?.?` stands for the version number)

### Run Directly

Cd back to `OpenSearch-Dashboards` directory and run `yarn start` to start OpenSearch Dashboards including this plugin. OpenSearch Dashboards will be available on `localhost:5601`.

### Run Docker

Run `docker-compose up -d` after changing the [Dockerfile](Dockerfile) as described in this [tutorial](Using-Docker.md)

### Submitting Changes

See [CONTRIBUTING](CONTRIBUTING.md).

### Backports

The Github workflow in [`backport.yml`](.github/workflows/backport.yml) creates backport PRs automatically when the original PR
with an appropriate label `backport <backport-branch-name>` is merged to main with the backport workflow run successfully on the
PR. For example, if a PR on main needs to be backported to `1.x` branch, add a label `backport 1.x` to the PR and make sure the
backport workflow runs on the PR along with other checks. Once this PR is merged to main, the workflow will create a backport PR
to the `1.x` branch.
50 changes: 42 additions & 8 deletions README.md
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Expand Up @@ -75,8 +75,6 @@ Observability is collection of plugins and applications that let you visualize d

## Plugin Components

The Dashboards Observability plugin has four components: Trace Analytics, Event Analytics, Observability Dashboards, and Notebooks.

### Trace Analytics

Trace Analytics page provides instant on dashboards in OpenSearch Dashboards for users to quickly analyze their logs. The plugin uses aggregated results from two indices, `otel-v1-apm-span-*` and `otel-v1-apm-service-map*` created by the otel-trace-raw-processor and service-map-processor, and renders three main views:
Expand All @@ -93,21 +91,53 @@ Additionally the fields can be sorted and filtered.

Event Analytics allows user to monitor, correlate, analyze and visualize machine generated data through [Piped Processing Language](https://opensearch.org/docs/latest/observability-plugins/ppl/index/). It also enables the user to turn data-driven events into visualizations and save frequently used ones for quick access.

### Observability Dashboards
### Metrics Analytics

Metrics Analytics allows ingesting and visualize metric data from log data aggregated within OpenSearch, allowing you to analyze and correlate data across logs, traces, and metrics.
Previously, you could ingest and visualize only logs and traces from your monitored environments. Using Metrics Analytics one can observe your digital assets with more granularity, gain deeper insight into the health of your infrastructure, and better inform your root cause analysis.

### Operational Panels

Observability Dashboards provides the users to create and view different visualizations on ingested observability data, using Piped Processing Language queries. Use PPL 'where clauses' and datetime timespans to filter all visualizations in the dashboard.
Operational panels provides the users to create and view different visualizations on ingested observability data, using Piped Processing Language queries. Use PPL 'where clauses' and datetime timespans to filter all visualizations in the panel.

### Notebooks

Dashboards offer a solution for a few selected use cases, and are great tools if you’re focused on monitoring a known set of metrics over time. Notebooks enables contextual use of data with detailed explanations by allowing a user to combine saved visualizations, text, graphs and decorate data with other reference data sources.

## Documentation
### Integrations
Integration is a new type of logical component that allows high level composition of multiple Dashboards / Applications / Queries and more. Integrations can be used to bring together all the metrics and logs from the infrastructure and gain insight into the unified system as a whole.

---

Integration usually consist of the following assets:
- dashboards & visualization
- schema configuration (mapping & templates)
- data on-boarding (sample data)

[See Integration Documentation](https://github.com/opensearch-project/dashboards-observability/wiki/Integration-Documentation-Reference)

[See Integration Tutorial](https://github.com/opensearch-project/dashboards-observability/wiki/Integration-Creation-Guide)

Please See additional information [documentation](https://opensearch.org/docs/latest/integrations/index)

> Integration Spec [RFC](https://github.com/opensearch-project/OpenSearch-Dashboards/issues/3412#schema-support-for-observability)
### Observability Correlation
In order to be able to correlate information across different signal (represented in different indices) we introduced the notion of correlation into the schema. This information is represented explicitly in both the declarative schema file and the physical mapping file.
Using this metadata information will enable the knowledge to be projected and allow for analytic engine to produce a join query that will take advantage of these relationships.

The Observability dashboard vision of [telemetry Data Correlation](https://github.com/opensearch-project/dashboards-observability/wiki/Observability-Future-Vision)

---
## WIKI Home
Please see our WIKI page for additional information [WIKI](https://opensearch.org/docs/latest/observability/index/) to learn more about our features.

## Documentation
Please see our technical [documentation](https://opensearch.org/docs/latest/observability/index/) to learn more about its features.

## Contributing

See [developer guide](DEVELOPER_GUIDE.md) and [how to contribute to this project](CONTRIBUTING.md).
- See [developer guide](DEVELOPER_GUIDE.md) and [how to contribute to this project](CONTRIBUTING.md).
- See [Integration Contribution Guide](https://github.com/opensearch-project/dashboards-observability/wiki/Integration-Creation-Guide) for integration creation additional context

## Getting Help

Expand All @@ -129,4 +159,8 @@ This project is licensed under the [Apache v2.0 License](LICENSE).

## Copyright

Copyright OpenSearch Contributors. See [NOTICE](NOTICE) for details.
Copyright OpenSearch Contributors. See [NOTICE](NOTICE) for details.

## Screenshots

<video src='https://github.com/opensearch-project/dashboards-observability/assets/48943349/8c918fce-35b8-4824-ae2d-6881aad7b9a2' width=180/>
47 changes: 47 additions & 0 deletions Using-Docker.md
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# Using Docker
Using docker as the runtime environment for testing and validating new developments is now available using the next commands:

## Build the plugin
First the plugin must be build using the `yarn build` command.

Once this build was completed - the expected zip location of the plugin is `./build/observabilityDashboards-?.?.?.zip` where as the `?.?.?` represents the version of this dashboard plugin.

> Note: that the plugin version must correspond to the OpenSearch-Dashboards version - this information appears [here](opensearch_dashboards.json)
>
Once the build is completed, make sure to overide the [Dockerfile](Dockerfile) target zip file with the exact name
```
# Install updated plugin
RUN /usr/share/opensearch-dashboards/bin/opensearch-dashboards-plugin install file:///tmp/observabilityDashboards-3.0.0.zip
```

## Docker imageVersion
The docker images used by this file are all referencing the [.env](.env) environment file that contains the version that needed to be changed to match your own system.

## Run the docker image build
To build the docker image use the next command:
> `docker build --build-arg VERSION=$(grep VERSION .env | cut -d '=' -f2) -t your_image_name .`
## Run the docker compose
The [docker-compose](docker-compose.yml) file represents a simple assembly of an OpenSearch cluster with two nodes and an opensearch dashboard that has the updated image with the latest changes in this plugin.
> This is a test only docker compose that should not be used for production purpose - for such use cases please review this [link](https://opensearch.org/docs/latest/install-and-configure/install-opensearch/docker/)
### Option 1 (All from docker)
run `docker compose up -d` to start the services and once the service is up and running you can start testing the changes.

### Option 2 (Combined Docker & Dashboard)
run `docker compose up -d opensearch` to only run the OpenSearch engine - in this case the dashboard has to be run manualy using `yarn start --no-base-path` command in the root dashboards path `./OpenSearch-Dashboards/`

> Note that the OpenSearch version also must correspond to the OpenSearch-Dashboards version
## Accessing the Dashboard
The dashboard service uses port `localhost:5601` for access and this was already exported in the docker-compose service definition
```yaml
ports:
- 5601:5601 # Map host port 5601 to container port 5601
```
## Security Notice
There is no security plugin and authentication definitions for this development test demo - pay attention not to use this configuration in a production or any environment that may contain
confident or personal information without first changing the security definition for accessing the servers - for production use cases please review this [link](https://opensearch.org/docs/latest/install-and-configure/install-opensearch/docker/)
4 changes: 2 additions & 2 deletions auto_sync_commit_metadata.json
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{
"last_github_commit": "ed572dcc3856c8620e28842b424f33ac46add9d8",
"last_gitfarm_commit": "659b360399849d82eb0a0f2af5d665120e4b8904"
"last_github_commit": "620cdef897f5bab6ee3470af17779fc2844cd273",
"last_gitfarm_commit": "09a72d10db2e8e31a4e01941ebe03537bd772df7"
}
69 changes: 69 additions & 0 deletions docker-compose.yml
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# Copyright The OpenTelemetry Authors
# SPDX-License-Identifier: Apache-2.0
version: '3.9'
x-default-logging: &logging
driver: "json-file"
options:
max-size: "5m"
max-file: "2"

volumes:
opensearch-data:

networks:
default:
name: opensearch-dashboards-demo
driver: bridge

services:
# OpenSearch store - node (not for production - no security - only for test purpose )
opensearch:
image: opensearchstaging/opensearch:${VERSION}
container_name: opensearch
environment:
- cluster.name=opensearch-cluster
- node.name=opensearch
- discovery.seed_hosts=opensearch
- cluster.initial_cluster_manager_nodes=opensearch
- bootstrap.memory_lock=true
- "OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx512m"
- "DISABLE_INSTALL_DEMO_CONFIG=true"
- "DISABLE_SECURITY_PLUGIN=true"
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65536 # Maximum number of open files for the opensearch user - set to at least 65536
hard: 65536
volumes:
- opensearch-data:/usr/share/opensearch/data # Creates volume called opensearch-data1 and mounts it to the container
ports:
- 9200:9200
- 9600:9600
expose:
- "9200"
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9200/_cluster/health?wait_for_status=yellow"]
interval: 20s
timeout: 10s
retries: 10

# OpenSearch store - dashboard
opensearch-dashboards:
container_name: opensearch-dashboards
build:
context: ./
dockerfile: Dockerfile
args:
- VERSION=${VERSION}

ports:
- 5601:5601 # Map host port 5601 to container port 5601
expose:
- "5601" # Expose port 5601 for web access to OpenSearch Dashboards
environment:
OPENSEARCH_HOSTS: '["http://opensearch:9200"]' # Define the OpenSearch nodes that OpenSearch Dashboards will query
depends_on:
- opensearch

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