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2 minute read
The cloud is guiding organizations to connect people, data, and processes in new ways to embrace the possibilities enabled by modern technologies. It allows businesses to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds.
To succeed in a digital-first world, leaders are bringing business and tech closer together and optimizing processes to create new value for customers.
Cloud-native applications take advantage of platforms and processes that were born directly in this context. They’re designed to be highly scalable, easily updatable, and finally able to connect to cloud services to extend capabilities.
Benefits of Cloud Native
Cloud-native apps allow organizations to be more agile and innovative, taking advantage of new opportunities immediately. What makes cloud-native development so valuable? The following three qualities are what have savvy companies paying attention:
- Adaptability
Cloud-native apps are dependencies free. This means that they can change with the needs of the business without creating dependencies that lock customers into a particular version of the software. In this way, applications keep running smoothly without the need for any manual intervention. The use of APIs can decouple frontends and backends allowing to make changes to either application without breaking it.
- Scalability
Cloud-native applications use software-defined infrastructure to reduce or eliminate hardware dependency. Automatic scalability is the main feature of cloud-native applications. To handle future needs by default, applications will scale automatically. And it will cost only for the resources that will be in use.
This approach adds commodity servers for horizontal scalability rather than requiring the addition of more expensive processors, storage, and memory to existing servers.
- Portability
Using containers, developers can craft applications that run on everything with few changes on the code. This approach also makes it easy to identify where a bug is in the complex application architecture. If a failure happens, it is limited to the container.
Fyrefuse and cloud
Fyrefuse is a data processing platform that orchestrates the entire data lifecycle and makes it accessible to data scientists and analysts. The abundance of data together with modern data processing and AI tools shortens the cycle to build, train, and deploy ML models drastically.
By leveraging the two technologies together, data teams can:
- Enhance productivity by enabling data scientists and engineers to create and deploy AI applications with greater speed, leveraging Fyrefuse data preparation, ingestion and AI pipelines.
- Support hundreds of less-technical data workers with intuitive tools for manipulating, analyzing, and visualizing large datasets. Business analysts can reveal new insights and make the right decisions based on data.
- Improve AI monitoring, governance, compliance, and reuse by removing silos and sharing best practices across the enterprise.
Modern enterprises are shifting businesses to the cloud very rapidly and the mixture of benefits around DevOps, ingestion pipelines, microservices, and containers leads to a higher amount of uptime and a better user experience.
