Financial services
Expertise in core banking, BaaS integrations, payments, and GenAI-enhanced financial solutions.
Healthcare
People-centric healthcare design and solutions, from virtual care, integrations, to smart devices.
Insurance
Modern solutions including self-service, on-demand, and algorithm-driven personalization.
Hi-tech & semiconductors
Semiconductor design, firmware and IoT development, and AI-powered embedded systems.
Qubika is a Databricks Select Partner
Learn more about our journey, our 100+ certified Databricks experts, and how we’re delivering solutions such as autonomous AI agents.
Databricks Capabilities
Learn more about Qubika's strong partnership with Databricks as a Select Partner, delivering solutions across the finance, banking, healthcare, hi-tech, and entertainment industries.
Databricks Impact on Financial Institutions
Databricks empowers financial institutions to harness unified data and AI, such as for real-time fraud detection, dynamic risk modeling, and personalized customer experiences.
Cloud Services and DevOps Engineering
With our Cloud, SRE, and DevOps Studio embrace cloud-native solutions for accelerated development, combined with reliable, secure, and scalable environments.
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Performance & Security
The Studio
We understand that the best cloud solution is the one that fits your specific needs. Our expertise in AWS, Google Cloud, and Azure lets us design and implement a cloud strategy perfectly tailored to your unique requirements.
Our comprehensive approach spans cloud migrations, modernization, automation, security, and cost optimization—ensuring your infrastructure is agile, efficient, and future-ready.
We are an Advanced Tier Partner providing comprehensive AWS services.
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We embrace 5 key principles as part of our cloud engineering philosophy, centered around agility, resilience, automation, scalability, and best-in-class security.
Infrastructure as code
We treat infrastructure like code, using a version management system to log the history of changes and bug fixes. The aim to create a consistent and reliable build that can be repeated.
Automation
We automate key processes such as deployment and local setup for developers. This means we achieve the maximum productivity of development teams while promoting service ownership.
Monitoring & Error tracking
Monitoring the performance of services is essential to ensure a quality service. By using monitoring and error tracing tools, we manage to minimize failures and increase stability.
Scalability
We use container platforms, like Kubernetes, that can adjust performance and cost to changing demands. Efficient resource utilization and dynamic power addition are possible without major cost changes or refactoring.
Security
Our infrastructure always includes fundamental security measures. These include encryption, secure database access, strong authentication methods and automated backups.
Our team boasts deep experience managing, optimizing, and automating infrastructure on the world's leading cloud platforms.
By implementing FinOps best practices we help businesses maximize the efficiency of their cloud spending. Our approach combines real-time monitoring, rightsizing, and automation to align cloud costs with business objectives.
We employ a mature, multi-phased approach for cloud migrations. We tailor each migration plan to align with your organizational objectives, optimizing architecture for enhanced performance and scalability using services like Kubernetes and serverless technologies.
We help organizations adopt modern architectures, automation, and best practices. Whether it’s breaking down monolithic applications, implementing containerization, or adopting Infrastructure as Code (IaC), we ensure your systems are built for agility, security, and cost-effectiveness.
We implement Site Reliability Engineering (SRE) practices to enhance system reliability, automate operations, and improve incident response. Our expertise spans cloud-native observability stacks, Service Level Objectives (SLOs), and error budgets to align reliability with business goals.
We enable seamless deployment and scaling of machine learning stacks in cloud environments, ensuring reliability, performance, and cost efficiency. Our approach integrates MLOps best practices, automating the lifecycle from model training to serving and monitoring.
We build automated workflows that streamline software delivery, reducing manual effort and minimizing deployment risks. Our approach ensures fast, consistent, and secure releases by integrating CI/CD pipelines, infrastructure automation, and cloud-native tooling.
We help organizations secure their cloud environments and maintain compliance with industry standards, regulations, and best practices. Our approach combines automated security controls, proactive monitoring, and continuous compliance assessments.
Increase Productivity
Qubika Solution Accelerators are assets that are integral parts of our solutions and drive 50%+ increase in productivity, efficiency, and time to market.
This accelerator automates the cloud infrastructure setup and integrates automatic build and deployment pipelines. A typical manual process for setting up infrastructure and provisioning could take many weeks – mixed in of course with the risks of human errors.
With Qubika’s Cloud Bootstrapper we do it in minutes. It enables us to provision almost everything – servers, networks, storages, certificates, domains, scaling automation, and much more.
Streamline AI/ML infrastructure deployment and management using industry-leading platforms like Databricks, Snowflake, Airflow, dbt, and MLflow.
With our AI Cloud Engine, we simplify the complex process of setting up data pipelines, ML workflows, and cloud-native infrastructure, empowering teams to focus on model development and data insights, instead of infrastructure hassles.
There are common components in all infrastructures, such as basic network configurations, provisioning of auto-scalable clusters, or even the setup of email and push notification services. Doing the same work over and over again is not only inefficient but also unchallenging for our engineers.
Therefore, we have created a set of templates and reusable modules that are optimized for the vast majority of projects.
These modules accelerate the deployment process, facilitate knowledge sharing, and enhance our deliverables every day.
Success Stories
Qubika partnered with Land Id to orchestrate a comprehensive migration from Rackspace to AWS.
Our expertise ensured a smooth transition while optimizing the new environment for peak performance and stability. Leveraging technologies like AWS, Elastic Container Service, and Aurora Database, we implemented scalable solutions to meet Land Id's evolving needs.
Success Stories
Bancard, a leading financial services provider with millions of monthly transactions and cards processed, partnered to optimize their real-time transaction systems and ensure compliance with global regulations, bolstering the reliability of platforms like Tpago.
Qubika implemented dynamic scaling solutions, root cause analysis, and robust incident management to address Bancard's needs for scalability and reliability across its payment infrastructure. Technologies included Kubernetes, JRuby, and Dynatrace.
Success Stories
Centr, founded by Chris Hemsworth, aims to empower individuals to live healthier, more fulfilling lives by integrating fitness, nutrition, and mental wellness.
Our SRE team achieved a 30% reduction in content distribution costs by analyzing traffic patterns and leveraging more cost-effective resources. This carefully planned migration ensured a seamless transition of the content delivery network (CDN) with zero downtime, resulting in significant cost savings without compromising on performance or security.
Success Stories
Digital Optometrics is a tele-optometry company revolutionizing eye care by enabling remote eye exams through advanced technology and AI.
Our team successfully built and deployed a robust AI infrastructure using Azure ML Studio. We integrated API management with cross-region load balancing capabilities to ensure scalability, fault tolerance, and to overcome regional quota limitations. We utilized Infrastructure-as-Code to enhance compatibility and streamline deployment processes.
AWS re:Invent 2024 highlighted advancements in generative AI, cloud modernization, and new AWS tools. The event reinforced AWS’s leadership in cloud innovation, paving the way for transformative AI-driven business solutions in 2025.
In this post, our focus will be on utilizing automation and the semantic-release tool as a solution for managing releases and Terraform module versioning in a monorepo setup.
CTOs know the importance of building cloud systems that are scalable, resilient, and secure. Qubika empowers teams to embrace cloud-native principles, ensuring their systems thrive in the dynamic digital landscape.
Get in touch with our experts to review your idea or product, and discuss options for the best approach
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