iBEAM: Accelerate Legacy Application Modernization with GenAI in Just 8 Weeks!

Accelerate Your Legacy App Modernization with
GenAI in Just 8 Weeks!

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WEEK - 1 & 2 of Week 8

iBEAM – Blueprint your Microservices with GenAI

01

Domain Decomposition

02

Identify Hidden Insights

Needs Assessment & AI-powered Blueprinting

We collaborate with you to understand your application’s goals. We then leverage Gen AI to analyze various aspects and automatically generate a draft microservices blueprint.

01

Domain Decomposition on Autopilot

Gen AI dives into your application using Natural Language Processing (NLP).
It analyzes your code comments, function names, technical documentation, and user manuals to automatically identify functionalities and potential microservice boundaries.
You provide your domain expertise to refine the blueprint, ensuring optimal service separation.

The Impact

Through this collaborative process with GenAI, we will create a solid foundation for building well-defined, modular microservices that meet your application’s specific requirements, tailored for Success!

Tech Stack

WEEK - 3 & 4 of Week 8

iBEAM – Empower Code Refactoring & Streamlined Deployment

In these 2 weeks our focus will be on transforming your blueprint into reality with GenAI’s assistance.

01

Microservices Extraction with AI Guidance

Our team will collaborate with you to pinpoint functionalities ideal for microservice extraction.We leverage code analysis tools like github copilot and tabnine alongside GenAI’s expertise.

GenAI analyzes your code structure and dependencies to,

Identify highly coupled components

GenAI pinpoints code sections that are tightly linked, suggesting potential boundaries for cleaner separation.
Predict dependency issues

By analyzing the codebase as a network, GenAI helps anticipate potential conflicts between extracted services.

The Impact

With GenAI, we will achieve a more efficient and reliable code refactoring process, paving the way for a successful microservices deployment.

Tech Stack

02

Smarter Dependency Management

We will tackle dependency management strategies for your microservices.

GenAI complements this process by,

Recommending dependency versions:

Based on historical data and known compatibility issues, GenAI suggests optimal versions for your chosen libraries.
Identifying potential conflicts early:

GenAI can highlight potential dependency conflicts before they cause deployment headaches.

The Impact

With GenAI, we will achieve a more efficient and reliable code refactoring process, paving the way for a successful microservices deployment.

Tech Stack

03

Optimizing Your CI/CD Pipeline for Efficiency

A robust CI/CD pipeline will be implemented to automate code building, testing, and deployment.

GenAI analyzes historical data from your pipeline to suggest optimizations for,

Faster build times:

GenAI can identify areas for streamlining the build process, shaving off precious minutes.
Improved test coverage:

By analyzing code changes and existing test suites, GenAI can recommend additional tests to ensure comprehensive coverage.

The Impact

With GenAI, we will achieve a more efficient and reliable code refactoring process, paving the way for a successful microservices deployment.

Tech Stack

WEEK - 5 & 6 of Week 8

iBEAM – Automate Quality & Documentation using GenAI

01

Supercharge Code

02

Automated Testing

03

API Documentation

These 2 weeks are all about ensuring the quality and clarity of your microservices with GenAI’s help.

01

Supercharge Static Code Analysis

Our Engineering team will utilize static code analysis tools to identify potential issues in your code. We integrate GenAI to take this analysis a step further.

GenAI can,

Boost analysis precision

GenAI fine-tunes the analysis process to pinpoint vulnerabilities, coding violations, and code smells with greater accuracy.
Identify hidden risks

By leveraging advanced code comprehension capabilities, GenAI can detect even subtle issues that static tools might miss.

The Impact

Quality at Speed – By incorporating GenAI’s capabilities, we will achieve a significant boost in code quality and well-documented microservices, all within a shorter timeframe.

Tech Stack

02

Automated Testing on Autopilot

Our team establishes automated testing frameworks aligned with your testing strategy.

GenAI joins the effort by,

Automating test case generation

GenAI analyzes your codebase to automatically generate a comprehensive suite of test cases, saving you valuable time and effort.
Optimizing test coverage

GenAI can identify areas where your test suite might be lacking and suggest additional tests to ensure complete coverage.

The Impact

Quality at Speed – By incorporating GenAI’s capabilities, we will achieve a significant boost in code quality and well-documented microservices, all within a shorter timeframe.

Tech Stack

03

Effortless API Documentation with GenAI

We will prioritize clear and detailed API documentation for each microservice

GenAI streamlines this process by,

Auto-generating initial drafts

Leveraging its understanding of your code, GenAI can draft the initial API documentation structure, including descriptions, parameters, and response formats
Saving you time and effort

This automation frees up the iBEAM team to focus on refining the documentation for optimal clarity and completeness.

The Impact

Quality at Speed – By incorporating GenAI’s capabilities, we will achieve a significant boost in code quality and well-documented microservices, all within a shorter timeframe.

Tech Stack

WEEK - 7 & 8 of Week 8

iBEAM – Modernization & Seamless Go-Live

01

Modernized Infrastructure

02

Monitoring & Performance

03

Post-Deployment Support

This stage focuses on preparing your application for launch and beyond, with GenAI as your optimization partner.

01

Modernized Infrastructure & Streamlined Deployment

The team will establish a modern staging environment mirroring your production setup for a smooth transition. We will define a well-defined deployment strategy to minimize downtime and risk.

GenAI elevates your Infrastructure by,

AI-powered Configuration Optimization

GenAI can analyze your infrastructure configuration and recommend optimizations for performance, efficiency, and security.
Infrastructure Cost Optimization

GenAI can analyze your infrastructure usage patterns and recommend ways to optimize costs

The Impact

Through GenAI’s assistance, we will achieve a successful go-live and gain valuable insights for continuous improvement, ensuring your microservices architecture remains efficient and scalable.

Tech Stack

02

Proactive Monitoring & Performance Optimization

We will implement monitoring tools like Zabbix or Prometheus to keep a watchful eye on your microservices’ health and performance post-deployment.

GenAI elevates your monitoring by,

Analyzing performance metrics in real-time

GenAI continuously analyzes the data collected by monitoring tools, identifying performance bottlenecks and potential areas for improvement.
Recommending optimizations

Based on its analysis, GenAI suggests adjustments to your microservices or infrastructure to enhance performance and efficiency.

The Impact

Through GenAI’s assistance, we will achieve a successful go-live and gain valuable insights for continuous improvement, ensuring your microservices architecture remains efficient and scalable.

Tech Stack

03

Post-Deployment Support with GenAI’s Insights

Our team will be available on need basis to address any issues that may arise after deployment and ensure smooth operation.

GenAI’s insights from monitoring data empower the team to,

Proactively address potential problems

By anticipating issues before they impact users, GenAI helps maintain optimal application performance.
Make data-driven decisions

With GenAI’s analysis, the team can make informed choices about future optimizations and resource allocation.

The Impact

Through GenAI’s assistance, we will achieve a successful go-live and gain valuable insights for continuous improvement, ensuring your microservices architecture remains efficient and scalable.