Case Study: Performance Optimization Success

Performance Optimization & Bottlenecks Elimination

The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.

DevOps

Finance

Web and mobile development

DevOps

Finance

Web and mobile development

1000

performance boost

cost optimization

About the client

Flexium is a financial services company that is converging conventional banking, digital assets, and decentralized finance into a single customer experience.

Tech stack

AWS EC2

AWS RDS

Kubernetes

Docker

Nginx

The client's needs

FinTech company was looking for a DevOps partner to optimize their finance platform. The Infrastructure performance has undergone degradation. Processes stuck in queues for too long. The application started to become an operational bottleneck.

Challenges & solutions

Challenge

Increase application performance, stability, and resilience.

Solution

Performed a technical audit of the current AWS infrastructure.

Challenge

Identify and solve bottlenecks and vulnerabilities.

Solution

Created bottlenecks monitoring system. Re-developed parts of inefficient SQL queries and data pipelines.

Challenge

Reduce operational costs.

Solution

Implemented Horizontal scaling and Microservice approach based on Docker managed by Kubernetes.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

Performance Optimization & Bottlenecks Elimination first slider image

The team of DATAFOREST is very skilled and equipped with high knowledge.

Daniel Garner

CTO Flexium, FinTech company

Steps of providing
data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

How we provide data integration solutions

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.
At this stage, we need to ensure that we understand the full scope of the project. We receive from you or perform a set of interviews and prepare the following documents: integration pipeline (which data we should get and where to upload), process logic (how system should work); use cases and acceptance criteria; solution architecture. Ultimately we make a project plan which we strictly follow.

Step 3 of 5

Solution development

At this stage, we build ETL pipelines and necessary APIs to automate the process. We attract our DevOps team to build the most efficient and scalable solution. Ending up with unit tests and quality assurance tests to ensure that the solution is working properly. Focus on Results is one of our core values as well.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we are expecting client’s participation in the project. While developing the integration system, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Steps of providing web applications services

Step 1 of 7

Web development discovery

In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. DATAFOREST is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.

Step 2 of 7

UX and UI design

Based on your wishes, the needs of your target audience, and the best web application design and development practices, our UX and UI experts create an aesthetically pleasing and user-friendly interface for your app to satisfy even the most demanding users.

Step 3 of 7

Web-based application development

At DATAFOREST we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.

Step 4 of 7

Integration

With DATAFOREST, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.

Step 5 of 7

Quality assurance

We use a multi-level quality assurance system to avoid any unforeseen issues. Working with DATAFOREST, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.

Step 6 of 7

24/7 support

Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.

Step 7 of 7

Web app continuous improvement

Every truly high-quality software product has to constantly evolve to keep up with the times. We understand this, and therefore we provide services for updating and refining our software, as well as introducing new features to meet the growing needs of your business and target audience.

The Way We Deal with Your Task and Help Achieve Results

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values, and discuss your project in detail. We will advise you on a solution and help you understand if we are a perfect match for you.

Step 2 of 5

Discovering And Feasibility Analysis

One of our core values is flexibility. Hence, we work with either one-page high-level requirements or a whole pack of tech docs. In AI demand forecasting case studies, there are numerous models and approaches, so at this stage, we perform a set of interviews to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create a solution architecture, a project plan, and a list of insights or features to achieve.

Step 3 of 5

Solution Development

The work starts with data gathering, data cleaning, and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for further development. Ultimately, we interpret the results. Nevertheless, demand forecasting solution modeling is a process requiring many back-and-forth iterations. We are result-focused, as it's also one of our core values.

Step 4 of 5

Solution Delivery

AI demand forecasting solutions can be a list of insights or models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect the client's participation in the project. While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high level of communication is also our core value.

Step 5 of 5

Support And Continuous Improvement

We understand how crucial the solutions that we code for our clients are! We aim to build long-term relations, providing guarantees and supporting agreements. Moreover, we are always happy to assist with further developments, and statistics show that 97% of our clients return to us with new projects.

The way we deal with your issue and achieve result

Free consultation

Step 1 of 5

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

Depending on project objectives, DevOps activity requires auditing the current approach, running metrics measurement, performing monitoring and checking logs. By having a set of interviews, we ensure that we understand the full scope of the project. Ultimately we make a project plan which we strictly follow. We are a result-oriented DevOps service provider company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, our certified DevOps engineers refine the product backlog. We deliver great results within digital transformation, cost optimization, CI/CD setup, containerization, and, last but not least, monitoring and logging. We are a result focused company – it’s one of our core values.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Infrastructure Audit & Intelligent Notifications

An e-commerce company had issues with managing its complex IT infrastructure across multiple cloud providers. We helped to analyze the current architecture and develop a strategy for unification, scaling, monitoring, and notifications. As a result, we implemented a single cloud provider, CI/CD process, server unification, security and vulnerability mitigation actions, and improved reaction speed and reliability by 200%.

200%

performance boost

24/7

monitoring

Dean Schapiro

Co-Founder, CTO Ecom Innovators, E-commerce company

View case study

Not only are they experts in their domains, but they are also provide perfect outcomes.

DevOps Experience

The ML startup faced high costs during its growth for a data-driven platform infrastructure that processes around 30 TB per month and stores raw data for 12 months on AWS. We reduced the monthly cost from $75,000 to $22,000 and achieved 30% performance over SLA.

2k+

QPS performance

70%

cost reduction

Robert P.

CTO Cybersecurity

View case study

They have very intelligent people on their team — people that I would gladly hire and pay for myself.

AI Web Platform for Data-Driven E-commerce Decisions

Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.

3M+

total unique users

600M+

products monitored

Josef Ganim

Founder & CTO Dropship.io

View case study

AI-Powered E-commerce Platform: Data-Driven Case

Financial Intermediation Platform

The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.

98%

model accuracy

100%

Enrico Cattabiani

Founder & CEO IDN, Infrastructure Deals Network

View case study

Financial Intermediation Platform preview

They understood our requirements, translated into actions rapidly, and adapted to requests easily.

All Success Stories

Latest publications

All publications

November 5, 2025

14 min

Three Types Of AI: Where Leverage Lives in the AI Stack

November 5, 2025

11 min

LLM Training: Make the AI Learn What Matters to the Business

October 27, 2025

16 min

How to Improve ML Model Accuracy for Online Retailers

Latest publications

All publications

May 21, 2025

8 min

LLM for Retail: Digital Pattern-Matching at Scale

May 21, 2025

19 min

The Importance of Data Analytics for Businesses at Every Stage of Growth

Data Science

May 2, 2025

11 min

ERP Solutions Company: Tailored Integration for Business Intelligence

Custom software development

November 5, 2025

14 min

Three Types Of AI: Where Leverage Lives in the AI Stack

November 5, 2025

11 min

LLM Training: Make the AI Learn What Matters to the Business

October 27, 2025

16 min

How to Improve ML Model Accuracy for Online Retailers

We’d love to hear from you

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Performance Optimization & Bottlenecks Elimination

About the client

Tech stack

The client's needs

Challenges & solutions

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

The team of DATAFOREST is very skilled and equipped with high knowledge.

Steps of providingdata scraping services

Free consultation

Discovering and feasibility analysis

Solution development

Data delivery

Support and continuous improvement

How we provide data integration solutions

Free consultation

Discovering and feasibility analysis

Solution development

Solution delivery

Support and continuous improvement

Steps of providing web applications services

Web development discovery

UX and UI design

Web-based application development

Integration

Quality assurance

24/7 support

Web app continuous improvement

The Way We Deal with Your Task and Help Achieve Results

Free consultation

Discovering And Feasibility Analysis

Solution Development

Solution Delivery

Support And Continuous Improvement

The way we deal with your issue and achieve result

Free consultation

Discovering and feasibility analysis

Solution development

Solution delivery

Support and continuous improvement

Success stories

Infrastructure Audit & Intelligent Notifications

DevOps Experience

AI Web Platform for Data-Driven E-commerce Decisions

Financial Intermediation Platform

Latest publications

Three Types Of AI: Where Leverage Lives in the AI Stack

LLM Training: Make the AI Learn What Matters to the Business

How to Improve ML Model Accuracy for Online Retailers

Three Types Of AI: Where Leverage Lives in the AI Stack

LLM Training: Make the AI Learn What Matters to the Business

How to Improve ML Model Accuracy for Online Retailers

Latest publications

LLM for Retail: Digital Pattern-Matching at Scale

The Importance of Data Analytics for Businesses at Every Stage of Growth

ERP Solutions Company: Tailored Integration for Business Intelligence

Three Types Of AI: Where Leverage Lives in the AI Stack

LLM Training: Make the AI Learn What Matters to the Business

How to Improve ML Model Accuracy for Online Retailers

We’d love to hear from you

Steps of providing
data scraping services