Before you deliver modern digital products to your customers, we help you start the journey to cloud-native with auditing owned infrastructure and designing the entire cloud architecture.
We guide you through the entire process of cloud app development beginning with scoping, designing, and building a strategy for the product. Based on these stages, you gain planned MVP, which is tested and developed to reach the final version.
Numerous business challenges can be tackled with well-conducted research. Our Innovation Lab is the driving force behind the development of cutting-edge solutions, enabling you to offer innovative products.
Developing brownfield projects means that we go through code audit, check once designed app, and continue development using existing technologies while applying agile methodology to optimize the project.
Providing software is a continuous process. We support and maintain your products to stay ahead of the crowd and meet changing business demands, fostering lasting customer relationships.
Make your software quality a priority. We detect and tackle mistakes before releasing products to help you improve customer experience and gain competitive edge.
Automotive
Automotive
Banking
Insurance
Automotive
Automotive
Automotive
Automotive
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Cloud-native app development is an approach to building applications specifically designed to run and thrive in cloud environments. It differs from traditional app development in that it leverages cloud-native principles and technologies, such as containerization, microservices architecture, and dynamic orchestration, to achieve greater scalability, agility, and resilience. Cloud-native apps are built with the cloud as their primary deployment platform, allowing them to fully harness the benefits of cloud computing.
The advantages of developing cloud-native applications are manifold. Firstly, cloud-native apps offer enhanced scalability, allowing them to handle varying workloads and accommodate growth seamlessly. They are highly resilient, with built-in fault tolerance and self-healing capabilities, ensuring high availability and reliability. Cloud-native apps also promote agility, enabling rapid development, deployment, and updates. They facilitate efficient resource utilization, cost optimization, and the ability to leverage cloud services for increased functionality. Additionally, they encourage a modular and decoupled architecture, fostering improved maintainability and scalability.
Several technologies and frameworks are commonly used in cloud-native app development. Containers, such as Docker, are utilized for packaging and isolating application components. Container orchestration platforms like Kubernetes provide automated management, scaling, and deployment of containers. Service mesh frameworks like Istio offer features for traffic management, security, and observability in microservices architectures. Continuous integration and delivery (CI/CD) pipelines, along with infrastructure-as-code tools like Terraform, assist in automating deployment and infrastructure provisioning.
When migrating existing applications to a cloud-native architecture, several considerations should be made. It’s important to assess the compatibility of the application with cloud-native technologies and identify any dependencies or modifications required. The application should be decomposed into microservices or modular components to leverage the benefits of scalability and flexibility. Proper data management and migration strategies need to be devised, and security, monitoring, and observability measures should be implemented to ensure a seamless transition.
Cloud-native app development greatly impacts the scalability and resilience of applications. By adopting cloud-native principles and technologies, applications can dynamically scale horizontally to handle increased traffic and demand. They can leverage container orchestration platforms to automatically scale resources based on workload fluctuations. Additionally, cloud-native apps are designed to be resilient, with features like self-healing, load balancing, and automated failover, ensuring high availability and fault tolerance. The combination of scalability and resilience empowers applications to handle unpredictable loads and maintain a consistent user experience, even in the face of failures or disruptions.