Cloud Foundation

Data Strategy

Data Governance

Data Infrastructure

Data Platform

Data Products

Centralizing Cloud Environment Management in a Modern Landing Zone

Industries:

Finance & Insurance - Retail & FMCG - Transportation - Energy & Utility - Life Science - Industrial

Solutions:

Data Strategy - Data Governance - Data Infrastructure - Data Platform - Data Products

Technologies:

Aws - Azure - Google Cloud Platform - Terraform

Overview

For a company embarking on a Cloud Adoption journey, it is crucial to define the organization and governance of environments from the outset.

As the number of cloud-native or cloud-migrated use cases increases, so do the difficulties of managing environments and security. It therefore becomes essential to have a tool that can effectively deploy and control corporate policies.

The Cloud Foundation is a set of configurations, templates and automations designed to manage the connectivity, identities and security of cloud environments and keep expenses under control at all times.

Challenges

The main problems resulting from the lack of a centralized hub are:

Lack of governance and increased complexity in managing, organizing and monitoring accounts
Lack of cost control and difficulty in managing budgets for various projects
Lack of an effective operating model that leads to an increase in security risks, the inability to streamline time-to-market and consequent poor optimisation of operating costs

70% Interrupted migrations

or even failed due to non-technology-related incidents

AWS

50% of all IT expenses

will be in the public cloud by 2024

Gartner

Solution

In the several Cloud projects we have concluded over the years, we have gained in-depth experience in the development of customised Cloud Foundations, which can faithfully replicate the internal structure of any company by creating a modular and secure multi-account environment
Quantyca

Starting from the centralised management of users and federation with corporate identity providers, through networking management and the implementation of customised guardrails to monitoring and cost optimisation.

Finally, the data collected can be used by the predictive algorithms of security services to effectively prevent and identify possible problems or cyber attacks.