Artjoker Software

DevOpsServices24 weeksDuration$5,000 - $10,000Project cost

Industry: Blockchain / Fintech Client Location: Germany Tech Stack: AWS, Docker, Terraform, GitLab CI/CD, Serverless Challenge - Manual infrastructure setup, slow deployments, and scalability issues Solution - Artjoker automated infrastructure with Terraform (IaC) - Optimized AWS resources - Built GitLab CI/CD pipelines for serverless deployments, testing, and monitoring Results - 320% performance boost - 50x faster deployments - Scalable, secure, compliant architecture Read full case study - https://artjoker.net/case-studies/devops/cryptoplatform-devops/

DevOpsServices18 weeksDuration$10,000 - $25,000Project cost

Industry: Fintech Client Location: Croatia / Ukraine Tech Stack: AWS, Docker, Corezoid, Python, ReactJS, Laravel Challenge - Ensure secure, scalable platform deployment while reducing high AWS costs and implementing automation for reliable growth Solution Artjoker applied a DevOps-first approach: - Infrastructure as Code with AWS & Docker for scalable deployments - Automated CI/CD pipelines and monitoring - KYC/AML and 2FA integration for compliance - AWS cost optimization: right-sizing, reserved instances, cleanup, tagging, and continuous monitoring Results - 30% AWS cost reduction in 6 months - Improved infrastructure reliability & scalability - Reduced manual management through automation - Fintech platform ready for sustainable growth Read full case study - https://artjoker.net/case-studies/fintech/lonvest/

DevOpsServices10 weeksDuration$5,000 - $10,000Project cost

Industry: Telecom / Contact Centers Client Location: EU Tech Stack: AWS S3, AWS Lambda, AWS EC2 (GPU), Amazon MQ, AWS CloudFormation, GitLab CI/CD Challenge - Expensive GPU workloads driving up AWS costs - Performance bottlenecks in real-time call analysis - Manual deployments causing delays and inconsistencies - Limited scalability for increasing call volumes Solution Artjoker implemented a DevOps-first AWS strategy: - Optimized GPU costs with the right EC2 instances + AWS Lambda for elastic scaling - Reliable task distribution via Amazon MQ for fault-tolerant, asynchronous processing - Automated infrastructure using AWS CloudFormation & CI/CD pipelines for faster, consistent deployments Results - 30–40% lower cloud costs, including 25% GPU savings annually - 50% throughput increase, handling 1.5x more calls without extra costs - 99.99% uptime and scalability up to 3x capacity with serverless architecture Read full case study - https://artjoker.net/case-studies/devops/callchecker-aws/

SoftwareServices36 weeksDuration$10,000 - $25,000Project cost

Industry: Fintech | Location: Ukraine | Duration: 24 months Tech Stack: .NET, Laravel, React, PostgreSQL, AWS/Azure Challenge - MyCredit needed a secure, scalable online lending system with automated loan applications, verification, repayment, and admin tools — able to handle high user volumes. Solution - Built a full-cycle lending platform (applications, scoring, repayment, debt collection) - AWS-based architecture (EC2, Auto Scaling, S3, RDS, Redis) - Integrated APIs: UBKI, MBKI, Scorista, RiskTools, Fondy, Wayforpay, CPA networks, anti-fraud Results - Became one of Ukraine’s top microfinance services with ~1M users - Loan review time cut to 15 minutes - Automated, fault-tolerant system ready to scale Read full case study - https://artjoker.net/case-studies/fintech/mycredit/

SoftwareServices9 weeksDuration$5,000 - $10,000Project cost

MyCredit Call Center Optimization with AI-Powered Analysis Challenge - Improve call center quality without hiring additional staff - Managing 70,000 calls per month across 4 departments. Problem - Existing supervisors could only handle 7,500 calls/month, leaving many calls unchecked and hindering objective analysis of call quality Solution - Developed an AI-powered service to analyze audio recordings, transcribe them, and score call quality based on predefined criteria Key Features of the Solution - Integrated with existing telephony services. - Audio conversion to text followed by detailed analysis. - AI-driven questions to assess call quality (e.g., operator introduction, politeness, service mention, etc.). - Scoring system for both individual calls and managers. - Flexible rule creation and editing with version control for tracking changes over time. Result - Administrative Panel: Custom dashboards for each department. - Call Filtering: Advanced call filtering and moderation system. - Performance Metrics: Created evaluation scores for calls and managers. - Infrastructure: GitLab CI/CD pipeline, AWS deployment (S3, Lambda), and integration with multiple APIs (OpenAI, Reiv.ai, Bard API). - Outcome: Efficient, automated call analysis and improved quality monitoring without additional staffing. Read full case study - https://artjoker.net/case-studies/ai-solutions/