What can AWS Cloud do for you?

Whether you need secure cloud migration, DevOps automation, AI-powered cloud solutions, or optimized performance—we’ve got you covered.

See how AWS transforms businesses like yours

AWS isn’t just about cloud storage—it’s about business transformation. See how our AWS solutions solve real-world business challenges with efficiency and innovation.

Optimizing large file imports with AWS Lambda & SQS

Challenge

The client’s application struggled with importing large files directly into the database. The existing server-based API caused:

  • Server overload during file processing
  • Slow request completion, leading to delays and timeouts
  • Poor user experience due to system slowdowns

Solution

We migrated the file import process to a serverless architecture using AWS Lambda and Amazon SQS:

  • 01 File Upload : Frontend uploads files to AWS Lambda instead of the server.
  • 02 Processing & Chunking : Lambda splits files into smaller chunks for manageable processing.
  • 03 Queue Management : Chunks are sent to Amazon SQS to prevent system overload.
  • 04 Database Entry : Another Lambda function retrieves chunks from SQS and inserts them into Amazon RDS in parallel.

Result

  • 80% faster file processing with no server overload
  • Scalable solution handling files of any size.
  • Cost savings via on-demand Lambda usage
  • Improved user experience with smooth, non-blocking imports

Key AWS services used

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AWS Lambda
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Amazon SQS
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Amazon RDS

Scalable PDF generation with AWS Lambda & S3

Challenge

The client’s application struggled with generating dynamic PDF invoices, causing:

  • Server overload with simultaneous PDF requests
  • Slow database queries delaying processing
  • Performance issues with multiple invoice generations

Solution

We migrated the PDF generation process to a serverless architecture using AWS Lambda and Amazon S3:

  • 01 Data Processing : AWS Lambda retrieves invoice data from Amazon RDS and performs calculations.
  • 02 PDF Generation : Lambda dynamically creates PDFs using processed data.
  • 03 Cloud Storage : Generated PDFs are securely stored in Amazon S3 for scalability and easy access.
  • 04 Instant Access : Lambda returns an S3 URL for immediate PDF download via the frontend.

Result

  • Faster processing with on-demand Lambda execution
  • Cost-effective scalability without extra server load
  • Improved reliability for handling multiple PDF requests
  • Secure, cloud-based storage ensuring high availability

Key AWS services used

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AWS Lambda
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Amazon RDS
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Amazon S3

Automating Infrastructure Deployment with AWS CDK

Challenge

Manual cloud infrastructure setup was time-consuming and error-prone, involving:

  • VPC configuration with subnets
  • Load balancers, EKS clusters, and services
  • CI/CD pipelines and EC2 setup for multiple environments (UAT, production, client-specific)

Solution

We implemented AWS Cloud Development Kit (CDK) for Infrastructure as Code (IaC):

  • 01 Infrastructure as Code : Built a reusable AWS CDK project defining VPC, subnets, EKS clusters, load balancers, and pipelines.
  • 02 One-Click Deployment : A single cdk deploy command provisions all infrastructure components.
  • 03 Automated Kubernetes Setup : Automatically creates and configures EKS clusters with associated services.
  • 04 CI/CD Integration : Integrated AWS CodePipeline for seamless code deployment post-infrastructure setup.
  • 05 Reusable & Scalable : Deploys multiple environments effortlessly, reducing manual intervention.

Result

  • Error-free deployments completed in minutes instead of days.
  • Scalable infrastructure for UAT, production, and client-specific needs.
  • Significant cost and time savings.
  • Fully automated CI/CD workflow with minimal manual effort.

Key AWS services used

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AWS CDK
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AWS EKS
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AWS CodePipeline
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AWS VPC

Real-time driver matching & scalable data processing for taxi solution

Challenge

The client needed a system to handle:

  • High-frequency data updates : Real-time driver location changes every few seconds
  • Instant driver matching : Quickly find the nearest driver from dynamic data
  • Scalability : Handle thousands of ride requests and millions of location updates
  • Analytics : Generate reports without impacting real-time operations

Solution

We implemented a multi-database architecture with real-time data streaming and instant communication protocols:

    Optimized Data Storage:

  • Transaction Layer (Redis/MemSQL) : Stores active rides and location data for instant driver matching.
  • Reporting Layer (PostgreSQL/Redshift) : Handles completed rides and analytics without affecting live data.
  • Persistent Layer (DynamoDB/MongoDB) : Manages static data (user profiles, driver details).
  • Real-Time Processing with Kafka:

  • Kafka streams live driver location data.
  • Nearest driver found instantly through in-memory transaction layer queries.
  • Instant Communication via MQTT:

  • Enables real-time trip updates, ride statuses, and notifications between drivers, passengers, and backend systems.
  • Independent Reporting System:

  • Analytics include demand peaks, ride completion rates, surge pricing trends, and driver availability.
  • Reporting runs independently, ensuring uninterrupted live operations.

Result

  • Lightning-fast driver matching with real-time data processing.
  • Optimized performance through layered data storage.
  • Scalable architecture handling millions of location updates &requests.
  • Real-time analytics without disrupting live services.
  • Enhanced user experience with instant trip updates.

Key AWS services used

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Kafka
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Redis
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MQTT
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PostgreSQL
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DynamoDB
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Amazon Redshift

Smart companies, smarter cloud solutions—See the impact

See how we’ve helped companies scale, secure, and optimize with AWS cloud solutions.

Fintech , AWS / Cloud ,

Optimized high-traffic payments with AWS cloud migration for Fintech PSO leader

Leading Bangladeshi FinTech Firm expected massive traffic spikes & security risks during national events. With our AWS migration, they acquired 10+ Gbps traffic handling, 99.99% uptime, and enterprise-grade security.

  • Core Technology : AWS
  • Industry : Fintech/Cloud
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SaaS , AWS / Cloud ,

Built a scalable & secure SaaS infrastructure on AWS for a ride-hailing software provider.

A leading SaaS provider for ride-hailing, now offering multi-service platforms, faced scaling, security, and cost challenges. Peerbits built a reliable AWS-based infrastructure using ECS and Kafka to address these needs.

  • Core Technology : Angular JS, , Node JS
  • Industry : On demand
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Healthtech , AWS / Cloud ,

Built secure healthcare cloud infrastructure using AWS for streamlining & automation of operations

A healthcare startup struggled with increasing loads of data and manual infrastructure management as its business expanded. Peerbits successfully built cloud infrastructure using AWS for their system possessing auto-scaling, automated and more.

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Big wins, bigger stories—Explore our AWS success!

Don’t just take our word for it—hear from businesses that have experienced the power of our AWS cloud solutions.

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It was an amazing experience partnering with Peerbits. They were not only committed to our project but also developed an app that we desired.


Rodrigo Trindade

Real-estate App, Brazilian

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Peerbits was worth choosing for our airline business's digital transformation. The team's skill, communication, knowledge - everything was exceptional.


Pedro Sarmento

ACC (Airlines) App, Portugal

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Thanks to Peerbits for building a powerful automated fabric inspection system that helped us achieve high textile quality. Their amazing team support & expertise boosted our growth by 10x.


Paulo Ribeiro

VP, Smartex.ai, Portugal

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We help global brands accelerate growth with expert-driven AWS cloud solutions.