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Performance Optimization & Bottlenecks Elimination preview
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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.

1000%

performance boost

20%

cost optimization
Performance Optimization & Bottlenecks Elimination preview

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 logo
AWS
AWS EC2 logo
AWS EC2
AWS RDS logo
AWS RDS
Kubernetes logo
Kubernetes
Docker logo
Docker
Nginx logo
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.

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

Daniel Garner photo

Daniel Garner

CTO Flexium, FinTech company

The way we deal with your task and help achieve results

Consultation icon

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.
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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.  

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.
Solutions icon

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 the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.
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Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect 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.
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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.

Success stories

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

Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
14.8 mln

pages processed daily

43 sec

updates checking

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Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation
View case study
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These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

Data-driven marketing

We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.
20%

sales growth

200%

traffic boost

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Jeremy Groves

CEO ThinkDigital, Digital and Advertising Agency
View case study
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They developed solutions that brought value to our business.

Web app for dropshippers

The Client wanted to create a web app for people who sell products online (dropshippers) to show them the most popular products and calculate the potential profits. DATAFOREST designed and built the web app from scratch, creating high-load scraping algorithms to extract data from different eCommerce marketplaces, developing AI algorithms to calculate profits, and integrating the payment system with various functionalities.
100k+

hourly users

1,5 mln+

Shopify stores

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Josef G.

CEO, Founder Software Development Agency
View case study
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If we experience any problems, they come back to us with good recommendations on how the project can be improved.

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

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Robert P.

CTO Cybersecurity
View case study
DevOps Experience case image
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They have very intelligent people on their team — people that I would gladly hire and pay for myself.

Latest publications

All publications
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18 min

Web Price Scraping and Price Monitoring Guide by DATAFOREST

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18 min

Efficient Cloud Infrastructure Monitoring: Secure and Scalable Solutions

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16 min

15 Best Data Warehousing Tools: Cloud-based Platform & Services - DATAFOREST

We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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