Cloud Computing

Improve productivity and reduce costs with cloud computing.

Minimise up-front IT infrastructure costs and avoid engineering for peak loads

Cloud computing offers water managers and water utilities the best of both worlds – cutting-edge technology without hefty expenditure.

Housing and managing computing, network and storage hardware is costly due to up-front costs. Many of the computing resources will be underused, energy is wasted on unnecessary systems, and complex management and infrastructure require in-house expertise. Networking, virtualisation, operating systems, firewalls and other security solutions are simply the start.

Public cloud cost-effectiveness offers a multitude of solutions, whether your organisation has invested in its own computing infrastructure or not.

ADASA’s cloud computing ensures service availability during peak loads. Peak-time capability is critical to companies with publicly available services whose loads are variable; hydrometeorological data queries spike during floods, droughts and pollution events. Many in-house infrastructures are built for peak loads that simply increase the underutilisation of computing resources the majority of the time.

Image of a server, representing cImage of a server, representing cloud computing

New workloads and machine learning often draw heavily on computing infrastructure – which may not be available in-house – something cloud computing avoids, improving data durability, availability and scalability metrics. Our services help take advantage of Infrastructure as Code (IaC) to rapidly provision resources and deploy applications to different environments and assist the implementation of business continuity and disaster recovery architectures.

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ADASA has experience with both Microsoft Azure and Amazon Web Services cloud platforms. We can build multiple architectures that make use of a wide variety of services.

ADASA builds scalable web applications that are cost-effective using cloud services for:

API management.
Server-less computing/container orchestration with Kubernetes.
Storage: object storage, caching, relational and NoSQL database.
Identity management and multi-factor authentication.
Content delivery network.
Development collaboration and Continuous Integration/Continuous Delivery (CI/CD) services.

Our Internet of Things (IoT) platforms can also scale cost-effectively to any number of devices, managing secure and scalable bi-directional communication with devices. The platforms can deploy logic and ML models to an edge device, streaming data to other services to process and store it, manage digital twin models and more.

Data lakes offer real-time data analytics, scalability, security and access control, along with data governance and data discovery using services for object storage. ADASA offers an Apache Spark-based processing platform, data pipeline and data catalog, as well as a relational database, NoSQL database, API management, business intelligence and more.

Cloud computing also offers machine learning workflows and environments, with services to build, train, deploy automate and manage Machine Learning models at scale. We use Jupyter notebooks that have access to all data and pre-trained models to facilitate team sharing and collaboration.

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Advantages

Pay-per-use means low up-front investment.
Cost-effectiveness by avoiding inefficiencies associated with in-house infrastructure management.
Increased productivity from Infrastructure as Code (Iac), Platform as a Service (PaaS) and Serverless models.
Scalability and elasticity, including burst computing to get high computing power when demand dictates.
Versatility to accommodate multiple types of applications and workloads, e.g., web apps, Internet of Things (IoT), data lakes, Machine Learning and more.
Data durability, availability and performance.