About Client

Managing AWS Environment

Wine-Searcher is a web search engine that helps find the price and availability of any wine, whiskey, spirit, or beer worldwide. It has been in operation since 1999 and has offices in New Zealand and the UK. They provide an easy-to-use search engine, price comparison tools, an extensive database of wines and spirits, an encyclopedia, and news pages that aim to provide all “wine-finding” needs.

Project Background

As part of their plan to launch a full suite of digital products, Wine-Searcher chose AWS as their cloud environment. Strategic resource allocation and cost optimization are critical to ensure a cost-effective operation. Peritos helped as the reliable AWS partner on AWS Cost Explorer and AWS Budgets, like valuable tools for implementing ongoing discounted billing. Furthermore, leveraging reserved instances and spot instances and optimizing usage based on peak hours and demand patterns can result in significant cost savings. Experts from the Peritos team helped regularly monitor and fine-tune the AWS environment based on Winesearcher’s needs, allowing for continuous optimization while adhering to budgetary constraints and maintaining the required scalability and performance for their operations.

Scope & Requirement for Managing AWS Environment

In the 1st Phase of the AWS Environment Setup, implementation was discussed as follows:

Implementation

Technology and Architecture of Managing AWS Environment

Furthermore, Read on the key components that defined the Architecture for managing the AWS Environment Setup for Wine-Searcher

Technology/ Services used

We used AWS services and helped them to setup below

Security & Compliance:

Network Architecture

Backup and Recovery

Cost Optimization

Code Management, Deployment

Cloudformation scripts for creating stack sets and scripts for generating AWS services were handed over to the client

Challenges in Implementing Managing AWS Environment

Support

Next Phase

We are now looking at the next phase of the project, which involves:

About Client

AWS Compute & High-performance Computing

Tonkin + Taylor is New Zealand’s leading environment and engineering consultancy with offices located globally. They shape interfaces between people and the environment, which includes earth, water, and air. Additionally, They have won awards like the Beaton Client Choice Award for Best Provider to Government and Community-2022 and the IPWEA Award for Excellence in Water Projects for the Papakura Water Treatment Plan- 2021.

Project Background

Tonkin + Taylor were embarking on launching a full suite of digital products and zeroed upon AWS as their choice for a cloud environment. Moreover, They wanted to accelerate their digital transformation and add more excellent business value through AWS Development Environment best practices. To achieve all this, we needed to configure AWS Compute & High-Performance Computing, following best practices and meeting compliance standards, which can serve as a foundation for implementing more applications. Furthermore, The AWS Lake House is a central data hub that consolidates data from various sources and caters to all applications and users. It can quickly identify and integrate any data source. The data goes through a meticulous 3-stage refining process: Landing, Raw, and Transformed. Additionally, After the refinement process, it is added to the data catalog and is readily available for consumption through a relational database.

Scope & Requirement for AWS Compute & High Performance Computing

The 1st Phase of the AWS Environment Setup discussed implementation as follows:

Implementation

Technology and Architecture of AWS Compute & High Performance Computing

The 1st Phase of the AWS Environment Setup discussed implementation as follows:

Technology/ Services used

We used AWS services and helped them to setup below

Security & Compliance:

Network Architecture

Backup and Recovery

Cloud systems and components used followed AWS’s well-Architected framework and the resources were all Multi-zone availability with uptime of 99.99% or more.

Cost Optimization

Alerts and notifications are configured in the AWS cost

Code Management, Deployment

Cloudformation scripts for creating stacksets and scripts for generating AWS services was handed over to the client

AWS Compute & High Performance Computing Challenges & Solutions

Support

Providing ongoing support as we are a dedicated development partner for the client

Next Phase

We are now looking at the next phase of the project, which involves:

About Client

AWS Support Services-Digital Tribe is the United Arab Emirates’s leading full-scale Digital Marketing agency in Dubai, enabling brands to grow online. Digital Tribe creates robust websites, web applications, branding, content, and digital marketing experiences. It is an agency that delves deep into the details of every sector.

Project Background

Digital Tribe were embarking on the journey of launching a full suite of digital product and zeroed upon AWS as their choice for a cloud environment. They wanted to create new applications and migrate to cloud services to improve their scalability, ensure availability, minimize latency, and reduce costs. They also wanted to accelerate their digital transformation and add more excellent business value through AWS Development Environment best practices. Lastly, with the new apps, they wanted to monetize and create SAAS-based offerings for the end users. For all this, it was necessary to do AWS Environment Setup, which follows best practices and meets compliance which can be used as a base for implementing more applications.

Scope & Requirement

In the 1st Phase of the AWS Environment Setup, implementation was discussed as follows:

Implementation

Technology and Architecture

Technology/ Services used

We used AWS services and helped them to setup below

Security & Compliance:

Network Architecture

Backup and Recovery

Cloud systems and components used followed AWS’s well-Architected framework and the resources were all Multi-zone availability with uptime of 99.99% or more.

Cost Optimization

Code Management, Deployment

Cloudformation scripts for creating stacksets and scripts for generating AWS services was handed over to the client

Challenges

Support

Next Phase

Ongoing support for AWS Review, Design, and Architecture Setup

About Client

AWS Environment Setup

Tonkin + Taylor is New Zealand’s leading environment and engineering consultancy with offices located globally. They shape interfaces between people and the environment which includes earth, water and air. They have won awards like Beaton Client Choice Award for Best Provider to Government and Community-2022 and IPWEA Award for Excellence in Water Projects for the Papakura Water Treatment Plan- 2021.

Project Background

Tonkin + Taylor were embarking on the journey for launching a full suite of digital product and zeroed upon AWS as thier choice for cloud environment. They wanted to create new applications and migrate to cloud services to improve their scalability, ensure availability, minimize latency and reduce costs. They were also looking to accelerate their digital transformation and add greater business value through AWS Development Environment best practices. Lastly with the new apps they wanted to monetize and create SAAS based offerings for the end users. For all this it was needed to do AWS Environment Setup which follows best practices and meets compliance which can be used as a base for implementing more applications.

Scope & Requirement

In the 1st Phase of the AWS Environment Setup, implementation was discussed as follows:

Implementation

AWS Environment Setup

Technology and Architecture

Read more on the key components which defined the Architecture for AWS Environment Setup for Tonkin + Taylor

Technology/ Services used
Security & Compliance:
Network Architecture
Backup and Recovery

Cloud systems and components used followed AWS’s well-Architected framework and the resources were all Multi-zone availability with uptime of 99.99% or more.

Cost Optimization

Alerts and notifications are configured in the AWS cost

Code Management, Deployment

Cloudformation scripts for creating stacksets and scripts for generating AWS services was handed over to the client

Challenges of AWS Environment Setup

Support

Next Phase

We are now looking at the next phase of the project which involves:

Executive Summary

About Client

The client, Yorker, is focused on leveraging technology to address the challenge of tracking and managing cricket bowlers’ net practice bowling loads. Recognizing the risk of overtraining and injuries from improper tracking, therefore, Yorker aims to provide a digital solution tailored for cricket players. In addition, An AWS Custom Application for Yorker empowers bowlers to automate session recordings, create personalized training plans, and monitor progress effectively. The app also fosters a sense of community by enabling interaction, knowledge sharing, and participation in skill-building challenges. The project is being executed in multiple phases, beginning with a Minimum Viable Product (MVP) to establish a strong foundation for future improvements. Yorker’s commitment to innovation and user-centric design reflects its dedication to transforming how athletes manage their training and optimize performance while minimizing injury risks.

Project Background – Enhancing Cricket Training through Digital Bowling Load Management

The Yorker mobile app project addresses a major challenge for cricket bowlers: accurately tracking and managing their bowling loads during net practice. Without proper tracking, bowlers risk improper training regimens, leading to overtraining and injuries. The Yorker app offers a digital solution that automates session recordings, capturing key metrics like delivery count, types of deliveries, and intensity levels. Additionally, the app allows bowlers to create personalized training plans, track progress, and receive real-time alerts to avoid overexertion. By leveraging technology, this initiative not only helps reduce injury risks but also fosters a sense of community. Bowlers can share experiences, learn from experts, and engage in skill-enhancing challenges. Ultimately, the app aims to optimize performance while ensuring bowlers train safely and efficiently, revolutionizing the way athletes manage their training.

Scope & Requirement for AWS Custom Application For Yorker

Scope: The first phase of the Yorker mobile application focuses on developing a Minimum Viable Product (MVP) to establish a strong foundation. Specifically, this phase will deliver core functionalities to allow cricket bowlers to start tracking their training sessions and managing their profiles. The scope includes:

Requirements:

Implementation

Technology and Architecture for AWS Custom Application For Yorker

Read more on the technology and Architecture we used for AWS Custom Application Development

Technology
Scalability
Integrations

The application leverages RESTful APIs for smooth data transfer between the front end and back end, facilitating user authentication, session tracking, and profile management. Future integrations may include cloud-based analytics and third-party push notifications to enhance user engagement.

Cost Optimization

Peritos helped optimize costs for Yorker by designing an efficient AWS architecture using auto-scaling, right-sized instances, and serverless technologies. With tools like AWS Cost Explorer and Trusted Advisor, we continuously monitored and reduced spending. Automation through CI/CD pipelines and code optimization further enhanced performance while lowering operational costs.

Backup and Recovery

A robust backup strategy, using Amazon S3, prevents data loss, while automated recovery processes ensure quick restoration in case of failure.

Features of AWS Custom Application For Yorker

Challenges with AWS Custom Application For Yorker

Support

As part of the project implementation we provide 2 months of Ongoing extended support. Additionally, this also includes 20 hrs a month of development for minor bug fixes and a SLA to cover any system outages or high priority issues.

Next Phase

We are now looking at the next phase of the project which involves:

About Client

Landcheck is an easy and affordable way of accessing crucial natural hazard risk information about any property in Auckland. The data is collected from official sources and neatly summarized into an easy to read PDF report. This information will help you make more informed decisions when investing your hard-earned money into Auckland Real Estate.

Project Background – AWS Custom Application Development using ESRI ArcGIS

Peritos and Landcheck got together to create a AWS Custom Application Development using ESRI ArcGIS integration to generate Hazard reports for specific properties. This was used for generating land based report which can be ordered specific to an address. client wanted to create an application which gives a comprehensive report to the user for their address indicating multiple hazards. It includes 10 hazards like Flooding, Winds, Liquefaction, Coastal Erosion, Active Fault etc. This report is created based on the latest data from authorised information provider, with expert Advice from Landcheck Engineers at a optimum cost which can help the end user get the information they need to make decisions regarding a specific property. This was all being done manually which the client now wanted to develop as a SAAS based offering.

Scope & Requirement

In the 1st Phase of the custom application development, implementation was discussed as follows:

Implementation

AWS Custom Application Development using ESRI ArcGIS

Technology and Architecture

Read more on the technology and Architecture we used for AWS Custom Application Development using ESRI ArcGIS

Technology

The web app was deployed with the below technological component

Integrations
Security:
Responsive Design:
Scalability

Application is designed to be running on serverless services, so that it can easily scale up and down automatically based on usage.

Cost Optimization

Alerts and notifications are configured in the AWS to notify if the budget is being exceeded. Being deployed on serverless infrastructure, it desn’t imposes any additional cost if application is not being used a lot. Peritos being a cloud partner is managing the environment for the client keeping a close watch on the cost and finding ways to optimize the same

Backup and Recovery
Code Management, Deployment

Features of Application

Challenges

We collated data from multiple council region and helped to get this stored on AWS layer. When a user buys the report, then the risk calculation logic goes through several datasets in ArcGIS server to calculate the risks for different hazards, then combine those results along with the expert advise from the Landcheck engineers and returns the result by generating a PDF. This was taking a huge amount of time when done at the go.

Support

As part of the project implementation we provide 2 months of Ongoing extended support. This also includes 20 hrs a month of development for minor bug fixes and a SLA to cover any system outages or high priority issues.

Next Phase

We are now looking at the next phase of the project which involves:

AWS Custom Application Development using ESRI ArcGIS

About Client

The customer’s (Tonkin + Taylor) business is involved in environmental consulting or meteorological services, focuses on providing high-resolution meteorological data for various applications, including air quality analysis, weather forecasting, and climate risk assessment. Their offerings are centered around advanced data modeling using the Weather Research Forecasting (WRF) model, which requires significant computational resources due to its ability to generate detailed meteorological datasets.

Project Background – AWS Custom product for Weather research forecasting

Peritos was hired to address these challenges by developing a comprehensive system that could:

Implementation

Technology and Architecture

The architecture of this application efficiently handles the computational intensity of the WRF model, scales dynamically with demand, and provides a seamless experience for users. The integration of various AWS services ensures that the solution is robust, secure, and scalable.

Overall Workflow
Technology
Integrations
Cost Optimization

Peritos enhanced Tonkin + Taylor’s FinOps capabilities by designing a cost-efficient, scalable AWS architecture. We optimized compute resources using AWS ParallelCluster, implemented serverless automation with Lambda and Step Functions, and used Amazon S3 and FSx for Lustre for cost-effective data storage. The solution allowed Tonkin + Taylor to scale on demand, reduce infrastructure costs, and gain visibility into cloud spending. This enabled efficient monetization of meteorological data while maintaining control over operational expenses.

High-Performance Computing (HPC) Environment
Processing and Orchestration

Features of Application

Challenges

Next Phase

About Client

AWS Control Tower Setup

Wine-Searcher is a web search engine that helps find the price and availability of wine, whiskey, spirits, and beer worldwide.
It has been operating since 1999, with offices in New Zealand and the UK. The platform offers search tools, price comparison,
an extensive database, an encyclopedia, and news content to support all wine-finding needs.

Project Background

Peritos led the AWS Control Tower setup for Wine-Searcher, optimizing their cloud infrastructure.
The implementation streamlined governance, improved compliance, and enabled secure scalability.
Multiple accounts were consolidated and managed using AWS Organizations within Control Tower.

The environment was configured to meet specific business needs, ensuring efficient resource management
and cost control. With built-in automation and governance, Wine-Searcher gained a strong foundation
for future growth while focusing on innovation and user experience.

Scope & Requirement for AWS Control Tower Setup

Implementation

Technology and Architecture of AWS Control Tower Setup

Technology / Services Used
Security & Compliance
Network Architecture
Backup and Recovery
Cost Optimization

Alerts and notifications are configured to monitor AWS costs and prevent budget overruns.

Code Management & Deployment

CloudFormation scripts for stack sets and AWS service provisioning were handed over to the client.

Challenges in Implementing AWS Control Tower Setup

Support

Executive Summary

About Client

Machineroad was started by Mitch Ferguson and Lockie Fergsuon both on top of thier cricketing skills and with the right knowledge and tools helping others in developing the game skills is what they wanted to do in Machineroad. With the mobile application goal was to help athletes to see how fast they can bowl and the areas for thier improvement. The competition in the sports sector is cut-throat and this app helps amateur as well as professional athletes to up their games.

https://www.machineroad.com/
Location: Auckland, New Zealand

Project – AI ML based mobile app for cricket training

Machineroad requirement was for implementing a bespoke AI ML based mobile app that helps to improve cricket bowling skills for their users. They wanted an app that helps their users to measure their bowling speed and creates a trajectory image snippet for the end user which further helps to understand the areas of improvement. Machineroad needed detailed analytics to help the users see their activities and compare results each week and month to help keep a track on the progress made. The requirement for AI ML based mobile app for cricket training was to be launched on both iOS and Android Store.

The Founder of MachineRoad Lockie Ferguson as world class cricket champion had this vision in mind ‘We want to bridge the gap between talent and success as a sportsman. Regardless of your upbringing we want you to be able to compete on the world stage and become the best athlete you can be”

Scope & Requirement

Below was the scope of work to develop a Cricket Training app:

Implementation

Cricket training app

Technology and Architecture

Technology
Integrations
Security
Backup and Recovery

Cloud systems and components used in the attendance management system are secure and 99.99% SLA.
HA/DR mechanism is implemented to create service replicas.

Scalability

Application is designed to scale up to 10x the average load from the first 6 months,
with auto-scaling cloud resources.

Cost Optimization

Alerts and notifications are configured to monitor budget usage. The environment is actively managed
to optimize costs.

Code Management & Deployment

Code for the app is handed over through Microsoft AppCenter.

CI/CD is implemented to automatically build and deploy code changes.

Features of AI ML Based Mobile App for Cricket Training

Challenges – AI ML Based Mobile App

Support

As part of the project implementation, we provided 1 month of extended support, including major and minor bug fixes.
Additional long-term support was also provided for select issues over the years.

Next Phase – AI ML Based Mobile App

We are currently planning the next phase of development and are in the POC stage.

Executive Summary

The Tellabs AWS Glue integration project was designed to establish a secure, scalable, and automated data integration pipeline between Oracle NetSuite and AWS. Leveraging AWS Glue, Amazon S3, and orchestration services such as Step Functions and EventBridge, the solution ensures efficient data extraction, transformation, and storage. The Objective was to build and implement automated ETL pipelines to ensure key reporting metrics are improved in terms of speed and accuracy. 

A strong emphasis was placed on security, governance, monitoring, and automation, ensuring that all workloads align with AWS best practices. The implementation provides enhanced visibility, operational resilience, and cost optimization for data processing workflows. 

About Client

Tellabs is a technology-driven organization requiring secure and scalable cloud infrastructure to support its data integration and analytics workloads. The customer needed a robust AWS-based solution to handle data ingestion from Oracle NetSuite while maintaining strict governance, security, and compliance standards.


Objectives

Scope of Engagement

Architecture Overview

The architecture consists of: 

This architecture ensures scalability, automation, and secure data processing pipelines. 

Solution Overview – To implement automated ETL pipelines using AWS Glue

The solution integrates Oracle NetSuite with AWS using Glue-based ETL pipelines. Data is extracted, transformed, and stored in S3, enabling downstream analytics and reporting. 

Key capabilities: 

Security & Governance

AWS Account Governance SOP 

Identity & Access Management

Network Security (VPC) 

Data Security 

Implement automated ETL pipelines using AWS Glue manage Security and Access control

Implement automated ETL pipelines using AWS Glue and ensure to manage Security and Access control

Monitoring & Logging

Implement automated ETL pipelines using AWS Glue and ensure monitoring and Observability by automating data pipelines

Implement automated ETL pipelines using AWS Glue and ensure monitoring and Observability by automating data pipelines

Implementation

Infrastructure as Code 

CI/CD Automation 

Glue Implementation – automated ETL pipelines using AWS Glue  

Runbook & Troubleshooting

Routine Monitoring Tasks 

Troubleshooting Scenarios 

Lambda Errors 

API Gateway Latency 

Aurora DB Issues 

High Latency Scenario (OPE-001) 

Deployment Readiness Checklist

Testing 

Automation 

Documentation 

Validation 

Cost Optimization & Performance Tuning for running and implementing automated ETL pipelines using AWS Glue

Challenges & Resolutions

Challenge  Resolution 
Secure access management  Implemented IAM roles & SSO 
Monitoring complexity  Centralized CloudWatch dashboards 
Cost visibility  Implemented tagging & cost analysis 
Data security compliance  Used KMS CMKs & encryption 
Deployment consistency  Adopted CloudFormation IaC 

Project Completion

Note

This implementation follows AWS best practices for: 

Implement automated ETL pipelines using AWS Glue

Implement automated ETL pipelines using AWS Glue high-level system setup.

Reference Links

https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/build-an-etl-service-pipeline-to-load-data-incrementally-from-amazon-s3-to-amazon-redshift-using-aws-glue.html

Read more about Glue

https://aws.amazon.com/glue/

Read more here about our services

AWS Glue Services

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