Cloud-native development
This approach to building and running scalable applications enables developers to focus more on valuable features by delegating the infrastructure implementation to Cloud services.
Why shift towards cloud-native systems?
To build better systems faster, the development team needs to focus on what matters: the features. Cloud-native systems allow us to avoid many problems associated with on-premise and cloud-hybrid systems such as inflexible compute resources, increased latencies, and IT team back-and-forths. This means we can focus on shortening the time between code and deployment through the use of cloud-native development tools, rapidly building fast-growing systems and responding to user feedback, first and foremost.
For applications at scale, hyper-scalability and minimal infrastructure maintenance costs enable our development team to build budget-effective internet-scale systems. Here's what it looks like to run Cloud-native applications:
- Using serverless tools to avoid server management, paying for consumed (pay-as-you-go) resources only, and scaling without effort
- Implementing event-driven systems (such as queues or pub/sub model) to handle complex streams of events in a system
- Deploying dynamic infrastructures to align with the business policies that can change over time.
Our development stack
We’re always exploring new technologies. Here are some of our favourites.
Software development
Embracing Clarity and Structure: Adopting the C4 Model for Software Architecture Diagrams
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A Minimalist Approach to DataOps and MLOps with DVC and CML
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Streamlining Predictive Analytics with Scikit-Learn
Predictive analytics empowers organizations to forecast future events by leveraging past data. When diving into this work…
Embracing Clarity and Structure: Adopting the C4 Model for Software Architecture Diagrams
In the ever-evolving landscape of software development, our Software Design and Quality Team (SDQT) at Osedea is continuously…
A Minimalist Approach to DataOps and MLOps with DVC and CML
In this article, we'll look into the critical importance of DataOps and MLOps in software and AI development. We will showcase a…
Streamlining Predictive Analytics with Scikit-Learn
Predictive analytics empowers organizations to forecast future events by leveraging past data. When diving into this work…
But wait, there's more...
Want to go beyond cloud-native development? Check out our other dev services.
Web application development
Creating software applications that run on the web.
Mobile application development
Creating software applications that run on a mobile device.
Software architecture
The fundamental structures of a software system and the discipline of creating such structures and systems.
Technical Audit
The verification of a supplier's manufacturing processes and quality control systems to provide confidence that your standards will be met or that any shortfalls will be resolved.
Low-Code / No-Code
Creating fully functioning apps as well as automating business processes without prior development training.
Web application development
Creating software applications that run on the web.
Mobile application development
Creating software applications that run on a mobile device.
Software architecture
The fundamental structures of a software system and the discipline of creating such structures and systems.
Technical Audit
The verification of a supplier's manufacturing processes and quality control systems to provide confidence that your standards will be met or that any shortfalls will be resolved.
Low-Code / No-Code
Creating fully functioning apps as well as automating business processes without prior development training.