Application Deployment Orchestration With Unified Package Automation
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Solution Overview
Problem
Network service providers face challenges in deploying network systems that are flexible, scalable, and diverse due to static and inflexible systems that are difficult to configure and deploy over various target areas, with manual processes making the deployment process time-consuming and error-prone.
Innovation Solution
A system and method for automatic end-to-end orchestration, deployment, and management of software applications using a universal package that includes Keycloak, configuration management as a service (CMaaS), and observability framework (OBF) files, facilitated by a service builder and orchestrator to automate the deployment process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual deployment processes are used, then flexibility and adaptability are maintained, but deployment time increases and errors occur
Solution Approach 1:
The deployment system performs self-service through automated orchestration where the orchestrator automatically coordinates deployment activities across multiple servers without human intervention. The system self-manages the deployment process by automatically provisioning resources, configuring applications, and monitoring deployment status, thereby increasing deployment speed while maintaining controlled automation.
Solution Approach 2:
The system prepares deployment packages and configurations in advance before actual deployment is needed. Deployment manifests, configuration files, and application binaries are pre-packaged and staged, allowing the orchestrator to execute rapid deployments by simply invoking pre-prepared deployment scripts rather than assembling everything from scratch during deployment.
2Adaptability or versatility
If static systems are used, then system stability is maintained, but scalability and adaptability to different target areas are reduced
Solution Approach 1:
The system transitions from static configuration to dynamic adaptability by enabling the orchestrator to automatically adjust deployment parameters based on target server characteristics. The deployment manifests contain configurable parameters that can be dynamically modified to match different target environments, allowing the same deployment package to adapt to various server configurations, operating systems, and resource capacities without manual reconfiguration.
Solution Approach 2:
The deployment system achieves universality through standardized deployment manifests and configuration templates that can be applied across multiple different target servers and environments. The orchestrator uses universal deployment workflows that work consistently whether deploying to single servers, clusters, or cloud environments, reducing the need for environment-specific deployment processes while maintaining adaptability through parameter customization.
3Reliability
If multiple manual steps are used for deployment, then deployment control is maintained, but deployment time increases and errors are introduced
Solution Approach 1:
The system merges multiple discrete deployment steps into a single automated orchestration workflow. The orchestrator combines application provisioning, configuration file distribution, service startup, and health checking into one coordinated process that executes atomically across all target servers. This consolidation maintains deployment control through centralized orchestration while dramatically reducing the time required compared to sequential manual execution of each step.
Solution Approach 2:
The deployment system implements feedback mechanisms where the orchestrator continuously monitors deployment status across all servers and automatically responds to deployment outcomes. If deployment fails on one server, the orchestrator receives feedback and can automatically retry, rollback, or alert operators, thereby maintaining high deployment accuracy through automated error detection and correction while reducing manual intervention time.
Data Source
AI summary
A method includes creating a first package of an application, registering the first package with an orchestrator and triggering deployment of the application on a set of target servers. In response to triggering deployment of the application, the orchestrator obtains client identification of security information for the application, deploys the application on the set of target servers, submits the configuration files to a configuration management tool for configuration, applies the configuration files to perform configuration of the application in the set of target servers, and triggers an observability framework (OBF) tool to start application monitoring in response to at least the orchestrator submitting the monitoring configurations to the OBF tool, and monitors the application in the set of target servers. The first package includes deployment files, security information, management configurations of the application, or monitoring configurations for the OBF tool.