the enterprise fabric

Into a cohesive and secure ecosystem

Microservices Orchestration

We live in an era of huge complexity. Legacy computing systems are no longer serving the purpose of the new enterprise and yet they are of utility value. At the same time, there is new technology development rapidly making environments obsolete very quickly; what with entire ecosystems working and creating new technology feverishly; only limited by human imagination. 

Microservices orchestration becomes a critical part such a rapidly not just evolving but revolutionary technology development. To stay in pace and yet be profitable and productive, microservices must be adapted moving away from the conventional data interchange to truly manifested data interchange; whose guardrails are not technology protocols but rather algorithm driven business logic and rules that respond to the Governance, Risk / Regulations and Compliance (GRCR) responsively. 

With archents' approach to technology development being a mutually inclusive Platform, Product, Process and Project oriented one, microservices orchestration comes naturally. In the process, the approach facilitates a seamless transformation from Big Data to Cognitive Computing.

Case Study

The Context

A global automotive major wanted to unify its IOT / Automation development, collaborating to race to commercialization with contributions from different geographical regions. 

A critical aspect of the development is the connection between design artifacts and the technology development; keeping a trace of all the raw materials and delivering a component working virtually; improving both Mind to Market (Innovation & Growth) as well as Time to Market (Improvisation & Growth) resulting in greater customer adaptation globally.

The Solution

  1. The first step was to establish the stage gated process of Conceptualization to Commercialization. Establishing the algorithms for Governance, Risk and Compliance was a critical part of this exercise. 

  2. The next step was to establish the new data structure environment renewing the master, meta, empirical, analytical and cognitive data set up.

  3. Following the above, was creating the customer ecosystem; segregating alpha, beta and theta customers. 

  4. Self organizing teams that were geographically distributed by roles.

  5. Linking the operating and development environments with workforce management seamlessly operating across both. 

The Application

  1. Multiple centers of excellence worked in unison.

  2. A unified innovation worked across the global enterprise.

  3. Intelligent Process Automation became a reality.

  4. Recursive learning helped the maturity of machine and deep learning; leading to advancement in artificial intelligence, virtual and augmented reality.

  5. Global teams work with agility in a cross-functional and cross-disciplined environment leading to the accomplishment of articulated goals and objectives of the enterprise.

  6. From an operational perspective, all the five dimensions of quality, cost, delivery, service and flexibility are positively impacted.

  7. The developments of accesories have been implemented in multiple product lines generating new revenue.