DevOps Solutions: Precision Engineering for Efficiency

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.

DevOps

Cyber Security

Web and mobile development

DevOps

Cyber Security

Web and mobile development

QPS performance

cost reduction

About the client

Deduce is an IT Services and IT Consulting company that protects businesses and their customers from unauthorized account access, and identity fraud.

Tech stack

AWS EC2

AWS RDS

PostqreSQL

Kafka

Redis

The client's needs

Challenges & solutions

Challenge

Create AWS infrastructure that performs 2k queries per second and has 99.9 % service availability.

Solution

Removed managed services and set up a self-hosted DB over EC2.

Challenge

Optimize redundancy and 2 times decrease in cost of infrastructure.

Solution

Used a cluster of servers for DB sharding, adding Elasticsearch, Kafka and Redis for different streams of data-based on industry standards.

Challenge

Create failover strategy and possibilities for larger scale.

Solution

Create master/master-slave mirroring in different regions to have a failover strategy.

Challenge

ML startup has encountered infrastructure cost issues during the extensive growth.

Solution

DB architecture was tuned to execute most-often queries faster.

Challenge

The main goal was to decrease the monthly operational cost ($75 K) for a large data-driven platform that handles ~ 240 bln entries monthly ( ~ 30TB), storing raw data for 12 months on AWS.

Solution

Updated ETL pipelines to reduce load on DB. Cost reduction from $75k to $22k per month with performance 30% over SLA.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

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

Robert P.

CTO Cybersecurity

The way we deal with your issue and achieve result

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.

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

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.

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.

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

Daniel Garner

CTO Flexium, FinTech company

View case study

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

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%

timely development

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.

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+