Who are we?
Why Chose Stiena Cloud Specialists?
Infrastructure Freedom Through Multi-Cloud Mastery - There are more cloud providers to choose from
In today's cloud-dominated landscape, flexibility is power. Our team excels in designing and implementing true multi-cloud infrastructure solutions that free your business from the constraints of any single provider. With extensive experience deploying across Akamai Cloud, AWS, GCP, DigitalOcean, Hetzner, and various VPC flavours, we create seamless infrastructures that span multiple providers based on their unique strengths and cost profiles. This approach delivers both significant cost savings and strategic advantages:
- Cost Optimization: Place workloads where they're most economically efficient
- Geographic Flexibility: Meet data sovereignty requirements across regions
- Provider Leverage: Avoid vendor lock-in
- Risk Mitigation: Enhance resilience against provider-specific outages
Enterprise Performance Without Enterprise Licensing Costs
The open-source revolution has transformed infrastructure possibilities, and our teams have the expertise to fully leverage these technologies at scale. We have mastered the art of building enterprise-grade environments using open-source solutions that eliminate costly licensing fees. Our comprehensive open-source technology stack includes (but not limited to):
- Database Technologies: MariaDB, Percona XDB, Vitess, MongoDB, OpenSearch
- Containerization: Kubernetes (RKE2, EKS, GKE, LKE), Docker deployments
- Data Processing: Kafka, Debezium, StarRocks, Apache Iceberg
- Monitoring & Security: ELK Stack, Zabbix, Wazuh, Sonarqube
- Web Services: NGINX, HAProxy
Infrastructure Built for Speed, Scale & Reliability
When milliseconds matter and downtime isn't an option, infrastructure design becomes a critical competitive advantage. Our team specializes in creating high-performance environments that deliver exceptional speed, reliability, and scalability for the most demanding workloads. Our approach combines architectural expertise with deep technical knowledge. We strategically implement performance optimizations like data locality configurations in Kubernetes, specialized database clustering techniques, and intelligent caching strategies to extract maximum performance from every resource. For Andre's platform (check case study), we designed an infrastructure capable of handling extreme transaction volumes while maintaining ultra-fast response times.
Mastering Data at Scale: Storage, Processing & Analytics
Data has gravity—and increasingly, it's the heart of modern business operations. Our team excels in designing and implementing sophisticated data infrastructures that balance performance, accessibility, cost, and compliance requirements. Our comprehensive data infrastructure capabilities include:
- Long-Term Data Management: Implementing cost-effective data retention strategies
- Real-Time Analytics: Enabling instant insights from streaming data sources
- Cross-Platform Integration: Seamlessly connecting data across environments
- Regulatory Compliance: Meeting data locality and sovereignty requirements
- Cost Optimization: Dramatically reducing storage and processing costs
Who is it for?
For Established Companies Trapped in Hyperscaler Costs - The bigger your IT infrastructure footprint, the greater your potential.
Escape the Hyperscaler Cost Trap
Is your AWS bill crushing your margins?
You built your business on AWS, Azure, or Google Cloud. It made sense at the time - scalable, reliable infrastructure with minimal upfront investment. But as your business grew, so did your cloud bills. Now you have pretty big infrastructure and these costs are eroding your margins, threatening your profitability.
You're not alone in this struggle.
We've helped companies to reduce their cloud infrastructure costs while maintaining enterprise-grade performance and reliability. Our team of IT infrastructure specialists has the expertise to strategically migrate your workloads to optimized environments, combining alternative cloud providers, self-managed services, and limited hyperscaler usage - where it makes sense of course.
If you have large-scale or special infrastructure needs that go beyond standard managed services and require a dedicated team to fine-tune and maintain critical systems, you've found the right partner.
For Startups Planning Major Infrastructure Deployments
Start Smart, Scale Efficiently
Building the next big thing? Don't let infrastructure costs kill your runway.
You have ambitious plans that require serious computing power. The hyperscalers make it easy to get started, but their pricing models can quickly become unsustainable for data-intensive operations. Before you commit to an infrastructure path that could threaten your profitability, talk to us.
For Container-Ready Workloads Seeking Optimization
You've invested in containerization. Now maximize that investment. Your containerized workloads can run anywhere. Why pay premium prices? Our team specializes in optimizing containerized environments across alternative cloud providers, delivering dramatic cost savings without compromising performance or reliability. Let us help you realize the full economic and technical advantages of your containerized architecture with our managed infrastructure services.
For Data-Intensive Operations Seeking Cost Control
Big Data Doesn't Have to Mean Big Bills
Is your data growth outpacing your budget?
Data is the lifeblood of modern businesses, but storing, processing, and analyzing that data on hyperscaler platforms can lead to astronomical costs. Network transfer fees, storage costs, and compute expenses compound rapidly with data-intensive operations.
We specialize in cost-efficient infrastructure for data-hungry applications.
Our team has extensive experience designing and implementing data-optimized infrastructure solutions that leverage alternative cloud providers and open-source technologies to dramatically reduce costs without sacrificing capabilities.
Our data infrastructure expertise includes:
- Big data processing (StarRocks, Apache Iceberg, OpenSearch… )
- Data streaming and CDC implementation
- S3-compatible object storage with flexible retention policies
The bigger your data footprint, the more you have to gain.
Our Team
Infrastructure cost and performance optimization specialists
With over 20 skilled professionals organized across four specialized teams, we've built a reputation for transforming cloud infrastructure economics while delivering enterprise-grade performance and reliability. Our collaborative approach, built through years of working together, brings together deep expertise across multiple domains to create comprehensive infrastructure solutions that solve complex business challenges. We are a cohesive team of infrastructure specialists with extensive experience in multi-cloud and multiple cloud environments, open-source technologies, and high-performance system design. Our professionals have worked together for many years, developing a seamless operational approach that combines technical excellence with practical business understanding. Our team culture emphasizes continuous learning, attention to detail, and a commitment to delivering measurable business impact through infrastructure optimization. We approach each project engagement with curiosity, focusing on long-term success and partnerships.
Our Expertise
Systems Administration Team
Our core Linux systems administration specialists bring deep expertise in infrastructure deployment and management across diverse environments. From hyperscaler clouds to alternative providers and bare metal configurations, this team ensures the foundational stability, security, and performance of all infrastructure components.
Database Engineering Team
Our database specialists excel in designing, implementing, and optimizing database solutions for high-performance workloads. With expertise spanning relational databases (MariaDB, Percona XDB, Vitess…), NoSQL solutions (MongoDB, Redis), and search platforms (OpenSearch, Elasticsearch), this team ensures data is stored, accessed, and protected with optimal efficiency.
DevOps & Containerization Team
Our DevOps engineers specialize in modern container orchestration, CI/CD implementation, and automation. With extensive experience in Kubernetes, Docker, and related technologies, this team bridges development and operations to create seamless, scalable deployment pipelines across multiple environments.
Data Services Team
Our data engineers focus on implementing sophisticated data processing pipelines, data streaming, and analytics platforms. From Kafka-based event streaming to data lakes built on Apache Iceberg and StarRocks, this team transforms raw data infrastructure into business intelligence assets.
Our Approach
What distinguishes our team is our comprehensive approach to infrastructure optimization:
Business-First Perspective: We begin by understanding your business objectives, economic constraints, and performance requirements before making technical recommendations.
Multi-Cloud Expertise: We leverage the strengths of multiple cloud providers to create optimal solutions, avoiding vendor lock-in while maximizing cost efficiency.
Open-Source: We build upon proven open-source technologies to eliminate licensing costs while maintaining enterprise-grade reliability and security.
Performance Optimization: We design with performance as a primary consideration, implementing specialized configurations and optimizations that deliver exceptional speed and reliability.
Operational Excellence: We implement comprehensive monitoring, alerting, and management systems to ensure ongoing stability and efficiency.
Our Results
Our team has consistently delivered exceptional results for products with complex infrastructure challenges:
- Reduced infrastructure costs by 3-6 times compared to main hyperscaler-only approaches
- Implemented high-performance transaction processing systems handling tousends TPS with sub-ultra low response times
- Designed multi-cloud architectures that meet strict data locality and compliance requirements
- Created sophisticated data management solutions maintaining multiple years of queryable history We combine quality standards with cost-effective delivery.
Ready to Transform Your Infrastructure?
Our team is prepared to help you optimize your cloud infrastructure, whether you're looking to escape the hyperscaler cost trap, build cost-efficient infrastructure for a new venture, or maximize the performance of your containerized workloads. Contact us today to start the conversation about your infrastructure challenges.
Case Study: Jopex
Jopex Transaction Platform Optimization
Challenge
Jopex operates a mission-critical transaction processing platform that serves as the backbone of their business operations. The platform architecture consisted of a PHP-based monolithic core handling primary transactions, complemented by 30+ microservices managing additional features and functionalities. Jopex faced several critical requirements:
- High-Performance Demands: The system needed to process up to 400 tickets per second during peak periods,and constant 24/7/365 load
- Stringent Response Times: Complete ticket processing required sub-second response times to maintain user satisfaction
- Budget Constraints: As a business operating with tight margins, hyperscaler pricing models posed a significant financial challenge
- Compliance & Data Governance: Regulatory requirements mandated 5-year data retention and specific data locality arrangements
- Infrastructure Flexibility: The solution needed deployment capabilities across multiple cloud environments to address regional compliance needs
Solution
Our infrastructure team conducted a thorough assessment of Jopex's requirements and designed a comprehensive solution leveraging our expertise in open-source technologies and multi-cloud architectures:
Strategic Cloud Selection & Cost Optimization
After evaluating several options, the decision was Akamai Cloud for the majority of the workload, particularly the transaction-processing core. This strategic decision delivered approximately 3x cost savings compared to AWS and alternatives. A significant portion of these savings came from reduced network costs, which are often overlooked but represent a substantial expense in transaction-heavy applications.
Architecture & Implementation
Rather than following the increasingly common Kubernetes approach (not great for PHP workloads), we designed a fully dockerized environment. This decision was critical as:
Our system administrators, database specialists, and data engineers collaborated to implement the solution:
- Database Layer: Deployed MariaDB Galera clusters for transactional data, ensuring high availability and data consistency Implemented MongoDB clusters for document-oriented storage needs Configured Redis instances for caching and performance optimization
- Communication & Messaging: Established RabbitMQ clusters for reliable message queuing between services (legacy code dependency) Implemented data streaming solutions using Debezium connectors and Kafka Connect servers for efficient data movement between microservices and components
- Web Services & Load Balancing: Configured NGINX clusters to handle HTTP traffic with optimal performance Deployed HAProxy for intelligent load balancing across service instances
- Monitoring & Security: Implemented comprehensive monitoring using Grafana dashboards and Zabbix alerts Deployed Sonarqube for continuous code quality assessment Established Graylog servers for centralized log management and analysis
To address data locality requirements, a standardized deployment approach worked across various environments: Supported major VPC implementations regardless of the underlying hypervisor (VMware, oVirt, etc.) Created consistent deployment processes that functioned identically across public and private cloud environments Implemented DR site
Results
The solution delivered significant benefits across multiple dimensions:
Financial Impact
- Reduced Cloud Costs: Achieved 3x cost reduction compared to equivalent hyperscaler deployments
- Optimized Resource Utilization: Right-sized infrastructure components to eliminate waste
- Licensing Savings: Leveraging open-source technologies eliminated substantial licensing fees
- Consistent Response Times: Maintained sub-second processing times even during peak loads of 400 tickets per second
- Reliability: Achieved 99.99% uptime for the transaction platform
- Scalability: Established architecture capable of scaling to handle future growth
- Data Sovereignty: Successfully addressed data locality requirements through flexible deployment options
- Retention Requirements: Implemented cost-effective 5-year data archiving solution
- Operational Visibility: Comprehensive monitoring provided real-time insights into system performance
Conclusion
This case study demonstrates our team's ability to design and implement sophisticated infrastructure solutions that balance performance, cost, and compliance requirements. By leveraging our expertise in open-source technologies and multi-cloud architectures, we delivered a solution that saved Jopex from prohibitive hyperscaler costs while meeting all their technical and business requirements. The project showcases our capability to optimize complex transaction processing systems and highlights the significant cost advantages possible when moving strategically away from major hyperscalers to alternative cloud providers with the right architectural approach.
Case Study: Andre's
Andre's High-Performance Microservices Optimization
Challenge
Andre required a high-performance, cost-effective platform for their Java-based microservices architecture with complex requirements:
- Transaction processing system with 100+ additional features
- Integration capabilities with external data platforms
- Advanced functionality including reporting, data lake, bonus engines, etc.
- Peak throughput demands of 1,000 tickets per second with 24/7 availability
- Ultra-fast response times
- Budget constraints prohibiting hyperscaler pricing, at least at business incubation
- Comprehensive data retention with multi-year archiving and query capability
- Future Multi-cloud deployment requirements for data locality compliance
Solution
Our team designed and implemented a sophisticated infrastructure solution leveraging open-source technologies across multiple environments:
Strategic Cloud and Infrastructure Selection
We deployed a hybrid approach combining multiple providers to optimize cost and gain performance:
- Primary Workload: Akamai Cloud for core transaction processing
- Big Data Workloads: Hetzner Data Center for data heavy operations
- Cost Efficiency: Achieved approximately 5x cost reduction compared to AWS pricing
- Major Savings Areas: Network transfer and data storage costs
- Flexible Deployment: Standard VPC configurations for local/regional deployments
- Performance: Performance gain compared to hyperscaler
The solution leveraged modern containerization and orchestration technologies:
- Kubernetes Implementation: Deployed Rancher's RKE2 secure Kubernetes engine for container orchestration
- Storage Performance: RKE2 implementation of Longhorn storage layer with data locality option provided significant performance improvements for processing
- Database Layer: Percona XDB clusters for high-performance transactional data Vitess cloud DB clusters for horizontal scalability OpenSearch for powerful search capabilities Redis for caching and performance optimization
- Messaging and Streaming: Kafka for robust event streaming and service communication
- Data Management: StarRocks DB and Apache Iceberg for analytical processing And data lake management S3-compatible storage buckets for flexible and affordable data retention
Comprehensive monitoring and security solutions were implemented:
- Monitoring Stack: ELK (Elasticsearch, Logstash, Kibana) deployment
- Log Management: Graylog servers for centralized logging
- Security: Wazuh for comprehensive security monitoring
- Code Quality: Sonarqube for continuous code quality assessment
- Advanced data pipelines were established.
- Change Data Capture: Implemented CDC using Debezium with Kafka Connect
- Data Locality: Ensured compliance with regional data requirements through flexible deployment options
Results
The solution delivered exceptional results across multiple dimensions:
Performance Achievements:
- Transaction Processing: Consistently maintained sub-500ms processing times
- Throughput Capacity: Successfully handled 1,000 tickets per second during peak periods
- Scalability: Architecture designed to grow with business needs
- Cost Efficiency:< Achieved at least 5x cost reduction compared to hyperscaler pricing
- Infrastructure Optimization: Right-sized components across the platform
- Licensing Elimination: Open-source approach eliminated substantial licensing costs
- Query Capability: Maintained ability to query 5 years of historical data
- Storage Efficiency: Optimized data storage approach reduced costs
- Integration: Seamless data movement across the platform and to external systems
- Data Sovereignty: Successfully addressed data locality requirements
- Security Posture: Comprehensive security monitoring and protection
- Operational Excellence: Full visibility into system performance and health
Conclusion
This case study demonstrates our team's ability to design and implement sophisticated microservices infrastructure for high-performance applications with complex requirements. By leveraging our expertise in Kubernetes, database technologies, and multi-cloud architectures, we delivered a solution that provided Andre with enterprise-grade performance at a fraction of hyperscaler costs. (This platform runs on terabytes of RAM and thousands of CPU cores) The implementation showcases how strategic use of alternative cloud providers, combined with the right open-source technologies, can deliver exceptional performance while maintaining substantial cost advantages—allowing businesses to launch with optimal infrastructure even under tight budget constraints.