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Dataforest

enhanced

Performance Optimization & Bottlenecks Elimination

MNDA

Product Company
Company Type
New York, United States
Location
Project work
Engagement Model
6 - 10 people
Team Size
9 - 12 Months
Duration
$100K - $150K
Budget

About

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

Challenge, approach, and impact

Increase application performance, stability, and resilience.

Performed a technical audit of the current AWS infrastructure.

Identify and solve bottlenecks and vulnerabilities.

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

Reduce operational costs.

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

How we built

Data Analytics and Visualization
Cloud Computing
Enterprise Software

Testimonials

Daniel Garner

Flexium

Verified Testimonial

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

Team structure

Client team

Daniel Garner's avatar

Daniel Garner

CTO

Project stakeholder

The client stakeholders were working closely with the team at Dataforest

Agency team

2 x Data Engineer's avatar

2 x Data Engineer

Production

2 x Product Manager's avatar

2 x Product Manager

Production

1 x Business Analytics's avatar

1 x Business Analytics

Production

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