Agriculture
Indonesia
Enterprise/Public Sector
"Deploying our infrastructure for geospatial data on Alibaba Cloud has been instrumental in addressing the challenges we face in managing, processing, and analyzing the data."
Prasetyo Herlambang
Head of Technology Department, Perhutani
About
Perhutani
Perhutani
Perhutani is an Indonesian state-owned enterprise and public corporation with the duty and authority to manage state forest resources on the islands of Java and Madura. It plays a crucial role in supporting environmental sustainability, socio-cultural systems, and the economic well-being of forestry communities. To ensure that it performs its duties effectively and maintains organizational efficiency, Perhutani operates through several subsidiaries across the Indonesian islands of Java and Madura, each focusing on different sectors within the forestry industry.
Challenges
To maintain its operations, Perhutani leverages vast amounts of recorded geospatial data. Geospatial data is complex, and includes data collected from diverse sources such as satellite imagery, LiDAR data, GPS coordinates, and various forms of vector data. Managing, processing, and analyzing such vast amounts of data requires significant computational power and storage capacity.
This data is extremely sensitive, involving information about individuals, properties, and critical infrastructure. Ensuring the security and privacy of this data during storage, processing, and transmission is paramount.
Additionally, geospatial applications support crucial operations for Perhutani that require high availability and reliability. Downtime or data loss can have catastrophic consequences, highlighting the critical need for robust, fault-tolerant systems.
Why Alibaba Cloud
Perhutani sought a cloud service provider to support its needs and found Alibaba Cloud to be the ideal choice for several reasons:
1. Comprehensive Geospatial Data ManagementAlibaba Cloud offers robust solutions tailored for handling complex geospatial data and provides advanced tools for collecting, processing, analyzing, and visualizing geographical information, crucial for Perhutani and its subsidiaries’ management operations.
2. Scalability and FlexibilityAlibaba Cloud infrastructure allows Perhutani to easily scale its resources up or down based on demand. This flexibility ensures optimal performance during peak times and cost efficiency during lean periods, adapting seamlessly to Perhutani's needs.
3. Security and ComplianceAlibaba Cloud's state-of-the-art security measures and compliance with international standards ensure that Perhutani's sensitive data is protected. Alibaba Cloud’s robust encryption, access controls, and compliance certifications provide peace of mind for managing critical environmental and operational data.
Architecture
To meet the requirement of robust storage solutions, Perhutani leveraged various Alibaba Cloud solutions, such as File Storage NAS and ApsaraDB RDS for MySQL for managing large volumes of geospatial data. NAS File Storage provides scalable storage with high durability and availability, while ApsaraDB supports various database engines for managing structured geospatial data.
To provide seamless scaling capabilities, Alibaba Cloud leveraged Elastic Compute Service (ECS) and Server Load Balancer (SLB). ECS instances can be provisioned and scaled up or down based on demand, ensuring the infrastructure can efficiently handle varying workloads.
Alibaba Cloud’s data encryption service and Cloud Firewall ensured the security and privacy of geospatial data.
Key Results
Effectively implementing geospatial infrastructure on Alibaba Cloud has helped tackle numerous challenges faced by Perhutani related to the management, processing, and analysis of geospatial data.
Alibaba Cloud's extensive range of cloud services and strong regional presence helps deliver the scalability, flexibility, and security essential for developing powerful and efficient geospatial applications needed for the islands of Java and Madura.
From real-time data processing and seamless data integration to ensuring high availability, Alibaba Cloud equips Perhutani with the necessary tools and infrastructure to successfully navigate the complexities of geospatial data management.
Looking Forward
Alibaba Cloud and Perhutani look forward to collaborate on integrating AI and machine learning to transform geospatial data management.
Alibaba Cloud’s machine learning Platform for AI (PAI) enables the development of advanced predictive models and analytics, extracting crucial insights from intricate geospatial data. Through such AI-driven analytics, Perhutani can deepen its regional insights and apply this intelligence to enhance urban planning, environmental monitoring, and autonomous navigation capabilities.
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Snapshot
Alibaba Cloud empowers Perhutani, a state-owned enterprise, with essential cloud services to create a robust and reliable infrastructure for critical geospatial data. This partnership provides the scalability, flexibility, and security critical for developing powerful and efficient geospatial applications, supporting the development of Java and Madura islands.
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