AWS Strategy

AWS Strategy & Cloud Architecture

A useful cloud strategy starts with the environment the business already operates.

OptiSoftware assesses current-state architecture, cloud readiness, workload dependencies and operational requirements before defining a target state. Recommendations account for applications, databases, integrations, security, reliability, scalability and cost awareness.

Architecture decisions should follow workload requirements. Not every system needs the same AWS pattern, and a practical target architecture may combine managed services, existing platforms and modern cloud capabilities.

Architecture inputs

  • Current-state assessment
  • Cloud readiness
  • Application dependencies
  • Database dependencies
  • Integration requirements
  • Security and operations
  • Reliability and scalability
  • Target-state architecture

Cloud Migration Strategy

AWS Migration & Modernization

Migration planning should reflect workload dependencies, sequencing, risk and the business case for change.

01

Assess & Sequence

Assess workloads, application dependencies, databases and integration points, then establish a migration sequence that supports controlled transition.

  • Workload assessment
  • Dependency analysis
  • Migration planning
02

Choose the Right Pattern

Different workloads may call for rehosting, replatforming, refactoring or a hybrid transition strategy. Modernization does not require every application to be rewritten.

  • Rehost and replatform
  • Refactor where it adds value
  • Hybrid transition strategies
03

Modernize Around the Workload

Application modernization and database migration stay connected to the architecture, integration and operational requirements of the workload.

  • Application modernization
  • Database migration
  • Operational readiness

Application Modernization

Cloud-Native Application Architecture

Modern application architecture is a progression, not a requirement to replace every established system.

OptiSoftware modernizes Java and Node.js applications using REST APIs, enterprise integration, microservices, serverless and event-driven patterns where they fit the workload.

Modern Spring Boot applications can use embedded Apache Tomcat and be independently deployable instead of requiring deployment into a large standalone application server. Depending on operational, scalability and security requirements, applications may be packaged with Docker, orchestrated with Kubernetes, deployed on AWS-native compute, or implemented with AWS Lambda and API Gateway.

Explore Application Modernization
J

Modern Java

From Java EE and WebLogic toward independently deployable services.

  • Spring Boot
  • Embedded Apache Tomcat
  • REST APIs and integration
  • Docker and Kubernetes when appropriate
N

Node.js Services

Backend services and APIs for cloud-native and event-driven environments.

  • REST API development
  • Serverless applications
  • Event-driven services
  • AWS integrations

Delivery capabilities

  • GitHub Actions
  • CI/CD pipelines
  • Deployment automation
  • AWS SAM
  • CloudFormation
  • Infrastructure as Code
  • Environment separation
  • Automated application delivery

Operational Architecture

DevOps, CI/CD & Infrastructure as Code

Repeatable delivery makes architecture easier to operate and change.

OptiSoftware helps teams establish deployment automation, environment separation and Infrastructure as Code using capabilities such as GitHub Actions, AWS SAM and CloudFormation.

The goal is practical: controlled releases, reduced manual configuration, repeatable deployments and greater consistency between environments.

Database Engineering

Database Modernization on AWS

Application and database modernization should be planned together, because data dependencies shape architecture, migration sequencing and operational risk.

01

Relational Platforms

Architecture, performance, availability and migration planning for enterprise relational workloads.

  • Oracle
  • IBM Db2
  • PostgreSQL
  • SQL Server
02

NoSQL & Search Platforms

Data-platform modernization that recognizes the different requirements of NoSQL and search/analytics workloads.

  • MongoDB
  • Elasticsearch
  • Data modeling
  • Application/data dependencies
03

Cloud Data Strategy

Practical AWS database and data-service decisions based on performance, availability, security and operating requirements.

  • Database migration
  • Performance and reliability
  • Cloud database architecture
  • AWS data services
Oracle IBM Db2 PostgreSQL SQL Server MongoDB Elasticsearch AWS Data Services

Enterprise Experience

Enterprise & Hybrid Modernization

Modernize Without Starting Over.

OptiSoftware understands established enterprise platforms as well as modern application deployment architectures. Experience spans IBM mainframe environments, Db2 for z/OS, Db2 LUW, Java EE, WebLogic, JMS and Oracle alongside modern java, Spring Boot, embedded Apache Tomcat, Node.js, APIs and AWS.

Modernization may mean retaining, integrating, API-enabling, rehosting, replatforming, refactoring, selectively migrating or replacing a workload. The right path depends on the system, the business case and the operational requirements—not a requirement to move every mainframe workload to AWS.

Established Enterprise IBM Mainframe Db2 for z/OS Java EE WebLogic Oracle
Modernization Strategy Assess Integrate API-enable Modernize Selectively migrate
Modern Architecture Spring Boot Node.js APIs and events AWS Cloud data platforms

Why OptiSoftware

Why OptiSoftware for AWS Modernization?

Cloud projects should account for the technology environment the cloud must support.

OptiSoftware brings together AWS architecture, application modernization, database engineering and enterprise architecture. That means cloud recommendations can account for applications, data, integrations, established enterprise systems, security and operations instead of treating AWS as an isolated infrastructure project.

Architecture that can actually be implemented connects target-state decisions to migration sequencing, deployment architecture and the engineering work required to operate the result.

Integrated modernization perspective

  • AWS cloud architecture
  • Application modernization
  • Database and data platforms
  • APIs and integration
  • Enterprise architecture
  • Implementation guidance

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