---
title: What is ONAP ? | The Architecture and Best Practices
description: Understanding What is ONAP, Open Network Automation Platform Features, and Benefits of Adopting ONAP Components, working architecture.
image: https://www.xenonstack.com/hubfs/xenonstack-onap.png
---

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# What is ONAP ? | The Architecture and Best Practices

[Navdeep Singh Gill](https://www.xenonstack.com/insights/author/navdeep-singh-gill) | 30 November 2022

![](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-onap.png?width=1280&height=720&name=xenonstack-onap.png)

## What is ONAP?

ONAP stands for Open Network Automation Platform. It's a project under the governance of the Linux Foundation and founded by AT&T and China Mobile. The initiative created by the combination of the ECOMP and Open-O projects into ONAP to bring the capabilities for designing, creating, orchestrating, and handling the full lifecycle management of [VNF](https://www.xenonstack.com/insights/virtual-network-functions) (Virtual Network Functions) or Network functions virtualization (NFV), SDN (Software Defined Networks), and the services that all of these things require.

The primary goal of ONAP is to implement the capabilities needed for orchestrating and handling the complete lifecycle management of VNF deployments. The platform works above the infrastructure layer to automate the network. It allows end users to connect products and services through the infrastructure and deployments of VNFs and scaling of the network fully automatedly. The high-level architecture of ONAP consists of different software subsystems broadly divided into a design-time environment and an execution-time environment to execute the designed platforms. ONAP community defines blueprints for various use cases during each release, which users can adopt immediately. Some essential uses cases are -

- [5G](https://www.xenonstack.com/blog/edge-computing-with-5g)
- CCVPN
- VoLTE
- vCPE

 It will bring the next revolution in the field of networking. ONAP stands for open network automation platform and manages virtually defined networks. What is the VNF, or what's the big deal about this Virtual Networking? VNF -Network functions virtualization is a network architecture concept that uses the technologies of IT virtualization to virtualize entire classes of network node functions into building blocks that may connect or chain together to create communication services. - Wikipedia.

## Requirement of VNF or SDN

 There are many reasons (like vendor issues and complex control panels) to move to virtualization or software-defined architecture. All the hardware network devices have a data plane(describe where data is forwarded through network addressing) and a control plane complex (its work as a decision maker and control where traffic should be sent and how quickly). The Control panel is not as simple as network architecture has multiple device types then has multiple control plane, one for each, which results in multiple decision-makers in your n/w, which become very complex even at typical network configuration that has a router paired with a firewall device plus a WAN acceleration device. To solve these issues and reduce the complexity, software-defined or virtual networking abstracts the data plane and control plane. The NVF converts the single hardware task to a virtual machine or software-defined, which does the same work done by hardware devices but in more Agile and adaptive ways. It's a software application used in Network Functions Virtualization (NFV) that has defined interfaces and provides well-defined networking function components; the components can be one or more; for example, a security VNF has a function related to NAT and Firewall. But VNF, too has various challenges like Vendor Compatibility and many others; it enables VNF ( Virtual Network Functions) and other network functions and services to be easily understandable in an automated, policy-driven Real-Time environment. This allows everyone to fully create, design, and deploy Automated Network Services.

---

## How ONAP Works?

 ONAP is the result of many software subsystems combined. These subsystems are broadly divided into two major architectural framework parts - **Design-time framework -** It defines, designs, and programs the platform. Again design-time framework consists of the following subsystems - **Service Design and Creation (SDC) -** It defines, simulates, and certifies assets and their associated processes and policies. **Policy -** It enables the creation and deployment of rules to instantiate conditions, requirements, constraints, attributes, or needs regarding the assets provisioned, maintained, or enforced. **Run-time framework -** To execute the programmed logic defined in the design phase. It also consists of the following subsystems -

- Active and Available Inventory (AAI)
- Controllers
- Dashboard
- Data Collection, Analytics, and Events (DCAE)
- Master Service Orchestrator (MSO)
- ONAP Optimization Framework (OOF)
- Security Framework

---

## Open Network Automation Platform (ONAP) Modeling

 The business logic of the software application is defined through the model at a higher level of abstraction, separated from the implementation code in a specific programming language. Through model transformation techniques such as code generation, the running code generated or its behavior changed, and ONAP is model-driven, which makes it Agile and adapts to new tech changes quickly. To support models/templates, ONAP features the separation of Run-time and Design-time environments. There are four modeling domains in ONAP -

- Deployment
- Closed-loop
- SDN
- Configuration

---

## Features Of ONAP

- Add new features quickly.
- Deploy on the go.
- Dynamically introduce full-service lifecycle orchestration.
- Metadata-driven and policy-driven architecture.
- Carrier-grade scalability.
- Closed-loop automation.
- One common portal to manage all components.

---

## Why Does Open Network Automation Platform Matters?

 Earlier to ONAP, operators of large networks faced a challenge to scale and the cost of manual changes to implement new service offerings, from installing a new data center. It enabled to handle previously manual tasks, such as allocating bandwidth or designing and provisioning service automatically. ONAP enables Real-Time, policy-driven network automation and orchestration of Physical and Virtual Network Functions. It can design, create, orchestrate, manage and monitor the full lifecycle of VNFs and higher-level services with ease. With ONAP, move legacy networks into the software-defined future.

---

## Benefits of Open Network Automation Platform (ONAP)

- Remove the need for human interaction, i.e., fully automated.
- Increased Flexibility, i.e., no vendor lock-in, plenty of VNF to choose from.
- Scalable: Scale-out rather than scale up.
- Through a single dashboard, manage multiple network services.
- Support 5G/IoT evolution.
- Improve the customer experience.

---

## How to Adopt ONAP?

ONAP is available as Microservices and has Docker containers; deploy it on the Kubernetes cluster. The ONAP Operations Manager (OOM) is accountable for orchestrating the end-to-end lifecycle management and monitoring of ONAP components. OOM needs Kubernetes to provide CPU efficiency and platform deployment. OOM enhances the ONAP platform by providing scalability and resiliency enhancements to the components it manages.

```

Install through helm
helm install osn/onap
```

 ONAP was created as a [Microservices](https://www.xenonstack.com/insights/microservices)-based system, with all components released as Docker containers and deployed to the cluster through kubectl and helm.

---

## Best Practices Of ONAP

- CII Badging Program.
- Credential Protection and Management.
- Static Code Scans.
- VNF Package Security.

---

## A Holistic Approach

 The ONAP platform provides a broad platform for Real-Time, policy-driven orchestration, and automation of physical as well as Virtual Network Functions, which results in enabling of automation of various new services and supports offered by different software, network, and Cloud providers. It's the future as it will support the 5G, and[IoT](https://www.gartner.com/en/information-technology/insights/internet-of-things), and it helps take full advantage of NFV. It's automation without hard coding, a Cloud-Native app, and integrated into [CI/CD](https://www.xenonstack.com/insights/devsecops-in-ci-cd). To learn more about the open network automation platform, you are advised to take the below steps: Read more about " **[Cloud Native Applications](https://www.xenonstack.com/blog/why-cloud-native-applications/)**" Benefits To know more about ONAP, " **[Get in Touch](https://www.xenonstack.com/contact-us/)**" with our team.

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## Explore Related Topics

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[Data Science](https://www.xenonstack.com/insights/tag/data-science)

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## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance.

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## AI Engineering

[Composite AI](https://www.xenonstack.com/artificial-intelligence/composite-ai/) [Decision AI](https://www.xenonstack.com/artificial-intelligence/decision-ai/) [AI Quality](https://www.xenonstack.com/artificial-intelligence/ai-quality/) [Generative AI](https://www.xenonstack.com/artificial-intelligence/generative-ai/) [Multimodal AI](https://www.xenonstack.com/artificial-intelligence/multimodal-ai/) [AI Assurance](https://www.xenonstack.com/artificial-intelligence/explainable-ai/) [MLOps](https://www.xenonstack.com/artificial-intelligence/mlops/) [Physical AI](https://www.xenonstack.com/artificial-intelligence/physical-ai/) [Augmented Engineering](https://www.xenonstack.com/artificial-intelligence/ai-augmented-software-development/) [Generative BI](https://www.xenonstack.com/artificial-intelligence/generative-bi/)

## Data Foundry

[Streaming Data Platform](https://www.xenonstack.com/dataops/streaming-data-platform/) [Data Lakehouse](https://www.xenonstack.com/dataops/delta-lake/) [Data Catalog](https://www.xenonstack.com/dataops/data-catalog/) [Data Observability](https://www.xenonstack.com/dataops/data-observability/) [Cloud Data Warehouse](https://www.xenonstack.com/dataops/cloud-data-warehouse/) [Data Engineering](https://www.xenonstack.com/dataops/data-engineering/) [MetaData Management](https://www.xenonstack.com/dataops/metadata-management/) [Data Quality](https://www.xenonstack.com/dataops/augmented-data-quality/) [Real Time Analytics](https://www.xenonstack.com/dataops/real-time-analytics/) [Data Modernization](https://www.xenonstack.com/dataops/data-modernization/)

## Platform Engineering

[Cloud Native](https://www.xenonstack.com/cloud-native/platform-engineering/) [Automation As Code](https://www.xenonstack.com/cloud-native/automation-as-code/) [Observability](https://www.xenonstack.com/cloud-native/observability/) [FinOps](https://www.xenonstack.com/cloud-native/finops/) [Application Modernization](https://www.xenonstack.com/cloud-native/application-modernization/) [DevSecOps](https://www.xenonstack.com/cloud-native/devsecops/) [Site Reliability Engineering](https://www.xenonstack.com/cloud-native/site-reliability-engineering/) [Progressive Delivery](https://www.xenonstack.com/cloud-native/progressive-delivery/) [GitOps](https://www.xenonstack.com/cloud-native/gitops/) [Compliance as code](https://www.xenonstack.com/cloud-native/compliance-as-code/) [Value Stream Management](https://www.xenonstack.com/cloud-native/value-stream-management/) [Policy as Code](https://www.xenonstack.com/cloud-native/policy-as-code/) [Telemetry Pipeline](https://www.xenonstack.com/cloud-native/telemetry-pipeline/)

## Agentic AI

[Agentic Analytics](https://www.xenonstack.com/agentic-ai/enterprise-systems/) [Agentic AI Systems](https://www.xenonstack.com/agentic-ai/agentic-ai-system/) [Process Intelligence](https://www.xenonstack.com/agentic-ai/business-process-operations/) [Developer Experience](https://www.xenonstack.com/agentic-ai/developer-experience-platform/) [Autonomous Operations](https://www.xenonstack.com/agentic-ai/autonomous-operations/) [AI Vision at EDGE](https://www.xenonstack.com/agentic-ai/edge-and-vision-ai/) [Compound AI System](https://www.xenonstack.com/agentic-ai/compound-ai-system/) [GUI Agents](https://www.xenonstack.com/agetic-ai/gui-agents/) [CMDB Management](https://www.xenonstack.com/agentic-ai/cmdb-management/) [ITSM](https://www.xenonstack.com/agentic-ai/itsm/) [Network Automation](https://www.xenonstack.com/agentic-ai/network-automation/)

## AI Agents

[DataBricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [SnowFlake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [AWS AI Agents](https://www.xenonstack.com/ai-agents/aws-ai-agents/) [Microsoft Azure AI Agents](https://www.xenonstack.com/ai-agents/microsoft-azure-ai-agents-actions/) [SalesForce AI Agents](https://www.xenonstack.com/ai-agents/salesforce-agents-actions/) [MySQL AI Agents](https://www.xenonstack.com/ai-agents/mysql-agents-actions/) [PostgreSQL AI Agents](https://www.xenonstack.com/ai-agents/postgresql-agents-actions/) [Datadog AI Agents](https://www.xenonstack.com/ai-agents/datadog-agents-actions/) [DynaTrace AI Agents](https://www.xenonstack.com/ai-agents/dynatrace-agents-actions/) [Splunk AI Agents](https://www.xenonstack.com/ai-agents/splunk-agents-actions/) [BigQuery AI Agents](https://www.xenonstack.com/ai-agents/bigquery-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Infor AI Agents](https://www.xenonstack.com/ai-agents/infor-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) [WorkDay AI Agents](https://www.xenonstack.com/ai-agents/workday-agents-actions/) [Jira AI Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/)

## Industry

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## Enterprise Support

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## Solutions

[Private Cloud](https://www.xenonstack.com/solutions/private-cloud/) [Internal Developer Platform](https://www.xenonstack.com/solutions/internal-developer-platform/) [AI Inference](https://www.xenonstack.com/solutions/ai-inference/) [Open-Source Data Platform](https://www.xenonstack.com/solutions/open-source-data-platform/) [AI Trust Score](https://www.xenonstack.com/solutions/ai-trust-score/) [Autonomous SoC](https://www.xenonstack.com/solutions/autonomous-soc/) [Digital Twin](https://www.xenonstack.com/solutions/digital-twin/) [Readiness Assessment](https://www.xenonstack.com/readiness-assessment/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/)

## Company

[About Us](https://www.xenonstack.com/about-us/) [Leadership Team](https://www.xenonstack.com/about-us/leadership-team/) [TAO of XenonStack](https://www.xenonstack.com/about-us/tao-of-xenonstack/) [How We Grow](https://www.xenonstack.com/about-us/how-we-grow/) [How We Work](https://www.xenonstack.com/about-us/how-we-work/) [Careers](https://www.xenonstack.com/careers/) [XA - QSIR](https://www.xenonstack.com/xenonstack-academy/) [Contact Us](https://www.xenonstack.com/contact-us/) [Book Demo](https://demo.xenonstack.com/)

## Resources

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✕

## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
- ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments
- ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR

[Explore Agent SRE](https://agentsre.ai/)

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✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
- ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback
- ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance

[See Vision AI in Action](https://www.xenonstack.ai/)

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✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

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✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

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✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

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✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

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