Migration to Cloud and Setting Up of Analytics along With Managed Services
Key Challenges
TheiaX GmbH needed to scale their data processing from local servers to a cloud-based system to allow client self-service and accommodate growing data volumes. They initially used in-house Python scripts on Jupyter Notebooks for local processing.
Key Results
Assisted by Ankercloud, TheiaX GmbH smoothly transitioned to AWS, enabling scalable cloud analytics. They integrated AWS Quicksight for dynamic client dashboards and 3D WebGL tools, improving user engagement. The migration achieved near-zero downtime, drastically cut capital expenses, and reached 99.999% operational efficiency. Enhanced data insights and continuous managed services have also improved decision-making and risk management.
Overview
TheiaX GmbH is a spin-off of the Helmholtz Institute Freiberg for Resource Technology (HIF) part of the Helmholtz-Zentrum Dresden - Rossendorf e. V. (HZDR). From science and R&D through to commercial applications, our expertise combines hyperspectral imaging and machine learning technics providing the exploration and mining sectors with bespoke solutions.
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Challenges
TheiaX GmbH’s clients are seeking cloud-based solutions to scale up processing routines. TheiaX GmbH data was processed on local servers using in-house developed processing algorithms in Jupyter Notebooks running with Python. However, the aim is (was) to upscale the solution to a cloud-based environment and at a later stage, the ability to offer clients the possibility to process the data by themselves.
Solution
- Ankercloud team developed a strategic roadmap to migrate Analytics and Reporting solutions to the cloud.
- Created the AWS Quicksight’s Interactive Analytics dashboards to present summary of results to clients.
- Research for the development and integration of 3D WebGL tools on AWS.
- Setting up the automated connections and lifecycle policy to the S3 buckets for cost optimization.
- Monitoring and alerting set up for future 24/7 Managed Services Support.
Business Outcome
- The entire migration was completed within a month and with a near-zero downtime.
- The capital expenses were eliminated, and business units were allowed to operate with monthly budgets for IT expenses.
- The migration had been performed seamlessly with Application and Data Modernization. As a result, TheiaX GmbH was able to achieve 99.999 percent efficiency and scalability for Mining Analytics.
- Ongoing Managed services that keep applications and the database running smoothly while internal resources focus on developing feature improvements.
- Better insights drove smarter decisions allowing TheiaX GmbH to avoid costly problems and leverage better opportunities.
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