Project type: cloud consulting, AWS, infrastructure-as-code, database, security, machine learning
IISD Experimental Lakes Area is one of the most influential freshwater research facilities on Earth—the only place in the world where scientists can manipulate real lakes to understand what human activity does to fresh water.
IISD's research operations require efficient and secure storage of historical and newly acquired datasets in the cloud, and careful integration of new datasets with IISD's existing relational database design. IISD is also engaged in machine learning projects, which need to be configured and maintained to run in the cloud.
IISD has partnered with Strato Earth to provide cloud infrastructure and database support for the Experimental Lakes Area project. Utilizing our existing infrastructure-as-code libraries and extensive expertise in Amazon Web Services, Strato Earth is providing on-going support to IISD with a particular focus on implementation and audit of cloud security standards and configurations, PostgreSQL database design and administration, and cloud resource configuration for machine learning processes.
Project type: web & cloud consulting, AWS, infrastructure-as-code, database, IoT, web map
COVE’s Digital Harbour is a project that will provide digital information using an integrated system of sensors to record real-time data sources from stationary and mobile infrastructure located in the water, on land, in the air, and via satellite. The project is focused on Canada's Halifax harbour, which features a dense cluster of marine and aerospace companies paired with naval, commercial, research, and recreational activities that occur simultaneously in a constrained physical harbour space, making it the optimal location for a project of this scope.
COVE has partnered with Strato Earth to construct the Digital Harbour web and cloud-based platform. The platform ingests, processes, distributes and visualizes data generated by sensors in the Halifax harbour. Digital Harbour must be capable of integrating current and future IoT sensors of various types, and of providing scientists and participating organizations with secure programmatic and user interface access to the resulting datasets.
Leveraging our existing infrastructure-as-code libraries and experience in working with geospatial and time series data, Strato Earth was able to complete phase one of the project on budget and several months ahead of schedule. Stay tuned for updates as we progress further on this exciting long-term project.