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Case Study: Global Oil Leader Transforms IT with Alauda Container Platform

A global oil and gas giant, ranking among the top three in the industry, recognized the need to modernize its IT infrastructure to stay competitive in the rapidly evolving energy sector. With a diverse portfolio of subsidiaries and a strong focus on innovation, the company sought to leverage cloud-native technologies, streamline application development and deployment, enable edge computing capabilities for its IoT ecosystem, and explore the potential of Large Language Models (LLMs) for advanced analytics and automation.

case-study-oil

Challenges

Legacy Applications
The company's reliance on monolithic architectures and legacy applications hindered agility, scalability, and innovation.
Fragmented IT Landscape
The company's acquired subsidiaries operated on different IT platforms, leading to siloed development efforts and challenges in collaboration and resource sharing.
Developer Productivity
The lack of self-service infrastructure and manual provisioning processes impacted developer productivity and slowed down application delivery.
Edge Computing Complexity
Managing and deploying applications at the edge posed challenges due to the lack of a unified platform and centralized control plane.
LLMOps Adoption
The company wanted to harness the power of LLMs for advanced analytics and automation but lacked the necessary tools and infrastructure to effectively train, deploy, and manage LLM-based applications.

Solutions and Results

By adopting Alauda Container Platform, the global oil leader transformed its IT landscape, achieving application modernization, unified PaaS across subsidiaries, platform engineering with self-service infrastructure, edge computing capabilities, and LLMOps support. The company gained agility, scalability, and cost-efficiency, enabling faster innovation and enhanced operational performance. With ACP, the company empowered its developers, streamlined IT operations, harnessed the power of edge computing, and unlocked the potential of LLMs to drive digital transformation and maintain its leadership position in the highly competitive energy industry.

Application Modernization
  • Alauda Container Platform (ACP) provided a comprehensive solution for application modernization, enabling the company to containerize legacy applications and adopt microservices architecture.
  • ACP's pre-built templates and automation tools accelerated the modernization process, reducing the time and effort required to refactor applications by 60%.
With ACP, the company successfully modernized its critical applications, improving scalability, resilience, and agility. The modernized applications delivered a 50% increase in performance and a 30% reduction in maintenance costs, enabling faster innovation and better responsiveness to market demands.
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Unified PaaS for Group Companies
  • ACP offered a unified Platform as a Service (PaaS) solution, allowing the company's subsidiaries to collaborate and share resources effectively.
  • The platform provided a consistent development and deployment experience across different subsidiaries, promoting standardization and best practices.

The unified PaaS approach fostered collaboration and knowledge sharing among subsidiaries, accelerating innovation and reducing development costs by 40%. It also simplified IT operations, enabling centralized management and governance of applications and infrastructure across the entire organization.

Platform Engineering with Self-Service Infrastructure
  • ACP's platform engineering capabilities and open tools integration empowered the company's development teams with self-service infrastructure provisioning.
  • Developers could easily provision and manage their own environments, including compute, storage, and networking resources, through a user-friendly interface and API.
  • ACP's multi-cloud support allowed seamless provisioning and management of resources across various cloud providers, including AWS, Azure, and Google Cloud.

The self-service infrastructure provisioning and multi-cloud support significantly improved developer productivity, reducing the time to provision environments by 80%. Developers could focus on writing code and delivering value, rather than worrying about infrastructure management.

Edge Computing with Edge Kubernetes Cluster Management
  • ACP extended its capabilities to manage and orchestrate edge Kubernetes clusters, enabling the company to deploy and manage applications at the edge.
  • The platform provided a centralized control plane for managing edge clusters, simplifying the provisioning, configuration, and monitoring of edge infrastructure.
  • ACP's edge computing features, such as automatic node registration and secure device onboarding, streamlined the deployment and management of IoT applications.
With ACP's edge computing capabilities, the company achieved a 70% reduction in the time required to deploy and manage edge applications. The centralized management and automation improved the scalability and reliability of edge infrastructure, enabling real-time processing and analysis of IoT data for optimized decision-making.
LLMOps Support
  • ACP integrated LLMOps capabilities, providing a unified platform for training, deploying, and managing LLM-based applications.
  • The platform offered pre-built templates and workflows for common LLM tasks, such as fine-tuning, inference, and model serving.
  • ACP's LLMOps features, including model versioning, monitoring, and autoscaling, ensured the reliability and performance of LLM-based applications.

With ACP's LLMOps support, the company accelerated the adoption of LLMs for advanced analytics and automation. The time to deploy LLM-based applications was reduced by 75%, and the company achieved a 60% improvement in the accuracy and efficiency of its predictive maintenance and anomaly detection models.