Case Study: RPA on cloud

We helped a global shipping leader achieve on-demand scaling through a multi-geography accessible RPA solution.

Industry

Logistics

Offering

Cloud IaaS Consulting & Engineering; 24x7 Managed Services

Workload

Robotic Process Automation (RPA)

Cloud

Azure

Project scope

— RPA on cloud

— Architecture and provisioning

About the client

The client is the world’s third-largest shipping company with a revenue of $21 billion and a market share of nearly 12%. It owns more than 536 container vessels and operates in 70+ countries. In 2016, it was acquired by a France-based shipping giant with a much larger scale of operations.

Business challenges

  • The client wanted on-demand scaling based on bots/virtual workers to achieve better flexibility, accuracy/quality, and continuity and reduce the risk of loss through human error or fatigue.
  • This RPA solution needed to be accessible from multiple geographies across the globe.
  • Rapid time-to-market was a key concern for them in order to take advantage of certain market opportunities.

Solution

The client had been using the AssistEdge RPA product on the Azure cloud in Singapore for the past year. They wanted a similar implementation in France but for a much larger user base. Given the client’s long-standing relationship with 1CloudHub and multiple successful engagements with us in the past, they approached us for help with deploying this cloud solution within a short turnaround time.

Our approach

Architecture Design

Cloud Infrastructure Monitoring and Optimization

Server and Backup Management

Database and Network Management

24x7 IT Services Desk

01. Architecture Design

  • Proprietary framework-driven approach to assessment, TCO analysis, and architecture design.

02. Cloud Infrastructure Monitoring and Optimization

  • Refactoring VMs and optimizing according to scale.

03. Server and Backup Management

  • Analysis of metrics and performance of upgrades.
  • Monitoring and management of incidents.
  • Implementation and backup automation.

04. Database and Network Management

  • Upgrade of databases: archival and reorganization.
  • Implementation, management, and support of virtual private cloud.
  • Configuration of network access list, routing tables and sealing off undesired ports.

05. 24x7 IT Services Desk

  • Incident or service request logging and routing to relevant teams.
  • Coordinate for resolution with various stakeholders including OEM vendors.
  • Sending regular updates to business and IT stakeholders.

Outcomes

Enabled scale through a progressive rollout for virtual workers on-demand by deploying 40+ VMs and Azure services across multiple environments.

Used agile development to complete the implementation in 3 weeks.

Looking forward

Using our Nimbus cloud adoption framework, we enabled the architecture and provisioning of cloud for the client, post which we managed services onboarding and 24×7 managed services. We look forward to working with them again on more cloud transformation projects that will help them achieve their business goals.

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