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CONCIERTO Platform

End-to-end transformation solutions

Platform Overview

One Platform. Every Transformation Stage
MODERNIZE

MODERNIZE

Transform Legacy into Innovation
MIGRATE

MIGRATE

Accelerate Cloud Adoption
MANAGE

MANAGE

Unified Multi-Cloud Operations
MAXIMIZE

MAXIMIZE

AI-Powered Cloud Optimization
INSIGHTS & AGENTIC AI

INSIGHTS & AGENTIC AI

From Data to Autonomous Intelligence

SERVICES

Practice-based transformation services

Services Overview

Services as Software—combining CONCIERTO platform automation with specialized expertise

Cloud Migrations

Holistic application, infrastructure, and database migrations across AWS, Azure, and Google Cloud

Application Modernization

Transform legacy applications into cloud-native, AI-ready architectures at enterprise scale

Cloud Native Engineering

Build modern applications using cloud-native architectures and proven engineering practices

Generative AI & Agentic Intelligence

Deploy enterprise-grade AI that protects your data and drives autonomous business operations

Data Insights & Agentic AI

Build enterprise data intelligence without the cost, risk, and delay of data migration

Cloud Security Services

Comprehensive security across multi-cloud environments with unified management

Managed Services

24/7 operations across applications, data platforms, and infrastructure

INSIGHTS

Leading the conversation on enterprise transformation

Launched today: Agentic AI Platform - Deploy autonomous agents in weeks
Intelligent Email Automation: Leveraging Gen AI & Machine Learning for Smarter Categorization
Generative AI for Master Data Management
Application Modernization Strategies: The 7 R's of Transformation

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THE REVOLUTION

Crossing the Digital Faultline

Revolution Overview

Digital transformation is binary: You win or you fail

The Beginning

The research that changed everything—1.8M+ data points

Digital Faultlines

Understanding the fundamental discontinuity

Digital Champions

The 7% who win—five consistent patterns

5 Forces

Five forces paralyzing enterprise transformation

The Revolution

AI-Powered Services as Software model

Principles

Seven operating principles addressing structural challenges

Outcomes

Leadership outcomes by role—CEO, CIO, CFO, CDO

Become a Champion

Three pathways to begin your transformation journey

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Micro-Services Migration From On-Premise To AWS Cloud
Customer Success Story

Micro-Services Migration From On-Premise To AWS Cloud

Micro-Services Migration From On-Premise To AWS Cloud

Client

The client is a leading provider of prepaid debit cards for personal and commercial use. The products are designed to be used as tools for people without a traditional bank account or who prefer to use alternative financial services. The client was looking to migrate their micro-services from on-prem to AWS Cloud with the help of the latest technologies like Docker, Kubernetes, Terraform, and other required AWS automation.The Client engaged Trianz to containerize the Microservices on AWS.

Business Challenge

The client needed to build a dependable, robust and secure technology infrastructure for:

  • Migrating the micro-services from on-prem to the cloud (AWS)
  • Containerizing the micro-services and using Kubernetes as a container orchestration system for automating deployments, scaling and management of containerized application

Approach

Trianz adopted the following implementation approach in a phased manner:

  • Understanding the existing infrastructure
  • Migrating prospect services for Dev/QA environments from on-prem to the cloud (AWS)
  • Containerizing the micro-services and deploying them using Kubernetes clusters built from the scratch
  • Configuring Jenkins pipelines to build and deploy to micro-services on Kubernetes cluster

Technology Components

AWS Services
AWS AWS IAM Amazon VPC Amazon EC2 Amazon EC2 Elastic Load Balancing Amazon S3 Amazon EBS
Networking & CDN
Amazon Route53 Amazon CloudFront Amazon CloudWatch Amazon AWS Config
Compute & Containers
AWS Lambda AWS EKS AWS ECS
Other Platforms
Splunk HashiCorp Terraform Python 2.x 3.x
DevOps & Testing
GitHub Jenkins Inspec Testing

Transformational Effects

  • Facilitated on-demand supply of the necessary infrastructure for Dev/QA teams to develop and test the scenarios. Users can run a Jenkins pipeline to build or deploy a micro-service, deploy the resources like S3 buckets, SNS, SQS, Lambdas, or deploy a fully functioning EKS (Kubernetes) cluster.
  • Users can easily create, update or delete the existing infrastructure within minutes with the help of Terraform automation.
  • Better performance with improved efficiency.

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