At SOLVER-AI, we believe in harnessing the power of state-of-the-art
algorithms to drive decision-making. Our platform is built on a foundation
of advanced open-source libraries, which are known for their robustness and
efficiency.
One of the key libraries we use is TensorFlow, an industry-standard
framework for Machine Learning. TensorFlow's flexible architecture allows
us to leverage the wide range of algorithms available.
By making use of these sophisticated libraries, we ensure that our platform
remains at the forefront of technological innovation. Our commitment to
using cutting-edge algorithms allows us to offer a service that is not only
powerful and efficient, but also continually evolving with the advancements
in the field.
SOLVER-AI is designed using a microservice architecture, a modern approach
that structures an application as a collection of loosely coupled services.
We leverage Docker for creating lightweight, standalone, and
executable software packages that include everything needed to run an
application.
This design allows each service to be developed, deployed, and
scaled independently, enhancing the overall flexibility and reliability of
the platform.
Our platform is hosted on the secure and scalable Amazon Web Services (AWS)
platform, ensuring consistent availability and efficient handling of
varying loads. The Docker containers are managed and orchestrated using
Kubernetes, an open-source system that automates deployment, scaling, and
management.
This combination of Docker and Kubernetes allows us to deploy
applications swiftly and scale seamlessly. Furthermore, to enhance
resilience and ensure uninterrupted service, SOLVER-AI is deployed across
two AWS availability zones (fault-tolerant, geographically isolated
data-centers).
We employ Infrastructure as Code (IaC) using Terraform, which allows us to
manage and provision our technological resources swiftly and efficiently.
This approach not only ensures rapid delivery and scalability, but also
promotes consistency across deployments, reduces the risk of manual errors,
and enables easy version control of our infrastructure. As a result, we can
deploy parts or even the entire infrastructure in just a few minutes.
At the heart of SOLVER-AI, we use MongoDB Atlas, our primary database,
which is a Database as a Service (DBaaS).
This approach allows us to focus
on our data while MongoDB Atlas handles the complexities of database setup,
configuration, and management. It ensures high performance, strong security
features including encryption, and regular backups for data safety and
integrity.
MongoDB Atlas also automatically deploys data nodes across
different availability zones for continuous uptime. This means you can
trust us with your data.
SOLVER-AI operates behind a robust firewall that enhances resilience and
security. It protects against a variety of threats and provides granular
control over web traffic. This measure also ensures compliance with
international regulations by preventing access from embargoed countries.
We adhere to the General Data Protection Regulation (GDPR), ensuring that
all data is used fairly, lawfully, transparently, and is kept secure.
Finally, we make use of two-factor authentication as default.
To cater to varying demand, we have implemented autoscaling and event-driven
autoscaling. This means our system can automatically adjust capacity to
maintain steady, predictable performance at the lowest possible cost.
We also use queuing to manage requests efficiently, ensuring smooth
operation even during peak times.
We are committed to continuous improvement. We apply patches and minor version upgrades automatically, so you can always benefit from the latest updates and features.