Why us?

Technology

Our foundation.

We build our solutions on class-leading infrastructure, striking the balance between ease of use, performance and running cost.

Amazon Web Services (AWS) is a bundled remote computing service that provides cloud computing infrastructure with storage, bandwidth and API.
Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products.
Kubernetes is a system for automating deployment and scaling of containerized applications. It groups containers into logical units for easy management.

Our approach.

We manage the balance between leading-edge innovation and recognized industry standards while leveraging tried and tested best practices.

1

In a traditional mutable server infrastructure, servers are continually updated and modified with an upgrade or downgrade packages, tweak configuration files, and deploys of new code directly onto existing servers. These servers are mutable; they can be changed after they’re created.

Immutable infrastructure is another infrastructure paradigm in which servers are never modified after they’re deployed. If something needs to be updated, fixed, or modified in any way, new servers built from a common image with the appropriate changes are provisioned to replace the old ones. After they’re validated, they’re put into use, and the old ones are decommissioned.

An immutable infrastructure benefits include more consistency and reliability in the infrastructure and a more straightforward, more predictable deployment process.

2

Serverless computing is a method of providing backend services on an as-used basis. Serverless architecture allows us to write and deploy code without the hassle of worrying about the underlying infrastructure.  

With our Serverless approach, we dynamically allocate the exact amount of resources needed on-demand. The main advantage of serverless computing is that you only get charged you for the exact machine resources required.

3

Edge computing is a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.

Edge computing brings computation and data storage closer to the devices where it’s being gathered, rather than relying on a central location that can be thousands of miles away. This is done so that data, especially real-time data, does not suffer latency issues that can affect an application’s performance.

You can save money by having the processing done locally, reducing the amount of data that needs to be processed in a centralized or cloud-based location.

4

Cloud infrastructure and software architecture is what you invest in. You rightly expect that everything will work as it should, under any circumstances.

Years of experience helped us create battle-tested know-how, processes, and toolkits, the outcome of which is production-grade solutions addressing your business needs.

We have in-depth knowledge of building applications designed for both regular and intensive use, where fault tolerance and zero downtime are an absolute must.

Our stack.

Innovative and highly competent technology stack, empowered by our tried and tested development philosophy.

The Go programming language is an open source project to make programmers more productive.
React is a JavaScript library for building user interfaces. React makes it painless to create interactive UIs.
Docker is a platform for developers to build, run, and share applications with containers.

Speed and reliability.

We use our edgeframe framework to rapidly develop and deploy highly reliable cloud-native applications.