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Automated Deployment and Orchestration System for Large-Scale Telecom Service Provider
  1. case
  2. Automated Deployment and Orchestration System for Large-Scale Telecom Service Provider

Automated Deployment and Orchestration System for Large-Scale Telecom Service Provider

itransition.com
Telecommunications
Information technology
Business services

Challenges in Manual Deployment and System Management for Large-Scale Telecom Infrastructure

The client faces significant operational challenges due to manual assembly, testing, and deployment processes for a complex, distributed telecom system comprising numerous components. These manual processes are time-consuming, error-prone, and hinder rapid delivery of new features. Additionally, supporting large, dispersed teams for deployment, maintenance, and troubleshooting without effective automation impairs system stability and scalability, leading to increased downtime and operational inefficiencies.

About the Client

A large telecommunications company managing extensive voice and data service infrastructure, seeking to enhance deployment efficiency and system stability across multiple environments.

Objectives for Streamlining Deployment and Enhancing System Stability

  • Implement end-to-end automated deployment pipeline to reduce manual effort and deployment cycle time from several hours to under an hour.
  • Achieve a minimum 800% increase in deployment productivity, enabling continuous integration and delivery for voice and data systems.
  • Develop scalable, flexible deployment processes supporting over 50 system components across multiple environments, including development, testing, and production.
  • Facilitate support and maintenance activities during team absences through robust, automated support tools and documentation.
  • Ensure system stability, rapid change absorption, and minimal downtime through reliable deployment automation and environment support.

Functional Capabilities for Automated Deployment and Environment Management

  • Automated assembly, testing, and delivery pipeline for multiple system components, with support for components making up a significant portion of the infrastructure.
  • Customizable dependency management and orchestration mechanisms to deploy entire releases rather than individual components.
  • Development of plugins/extensions to support deployment to diverse application servers and services (e.g., JBoss, GlassFish, WildFly).
  • Web-based user interface for deployment control, monitoring, and rollback functions.
  • Integration with continuous integration tools (e.g., Jenkins), version control systems, and configuration management tools.
  • Support tools for environment maintenance, including support for administrator activities in the absence of key personnel.
  • Support for integration with enterprise-grade load balancers and gateways to facilitate secure environment access.

Preferred Technologies and Architectural Approaches

Deployment automation platforms similar to XL Deploy with custom plugin capabilities
Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins
Containerized environments supporting flexible, scalable deployment
Scripting languages (bash, Groovy) for environment setup and maintenance
Web GUIs for deployment orchestration and monitoring
Databases for data transfer and configuration presets

Essential System Integrations

  • Application servers such as JBoss, GlassFish, WildFly for deployment targets
  • Source code repositories and version control systems
  • Atlassian suite (Jira, FishEye) for project management and monitoring
  • Enterprise load balancers and gateways for secure remote access
  • Support for existing billing and infrastructure management systems

Key Non-Functional System Requirements

  • System scalability to support at least 50 components and multiple environments
  • Deployment cycle time reduction to under 60 minutes per release
  • High availability and fault tolerance in deployment platforms
  • Security and access control aligned with enterprise policies
  • Auditability and traceability of deployment activities
  • Minimal system downtime (<1%) during deployment processes

Expected Business Impact and Benefits

The automation of deployment workflows is projected to increase deployment productivity by at least 800%, significantly reducing manual labor and error rates. The entire deployment cycle will decrease from several hours to under an hour, enabling more rapid feature releases. Enhanced system stability and supportability will reduce operational outages, improve support efficiency during team absences, and facilitate continuous software delivery, ultimately leading to better service availability and customer satisfaction.

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