Cloud-Native Computing Platform Architecture
Cloud-Native Computing Platform by puzl.cloud stands at the forefront of cloud-native computing, embracing a Kubernetes-centric approach to its platform architecture. This strategy emphasizes direct access to isolated Kubernetes namespaces, streamlining application deployment and scaling.
Puzl's philosophy is to simplify the cloud computing experience while offering flexibility and efficiency. The billing model aligns costs with actual resource usage by Kubernetes entities. On Puzl, you can utilize the following cloud resources:
- CPU
- Memory
- Nvidia GPU
- Fast ephemeral runtime data storage
- Persistent data storage
- Dedicated IPv4 addresses
Use of Kubernetes Namespaces in a Shared Cluster
Kubernetes namespaces form an integral part of Puzl’s architecture, providing each user with a secure and isolated operational environment. This separation ensures efficient resource management and enhances security, as it segregates resources, network and operational scopes for each user.
All features and services offered by Puzl can be conveniently managed through the standard Kubernetes API.
Pods and Virtual Machines: A Comparative Overview
Puzl differentiates between the use of pods and virtual machines (VMs), each serving distinct application and workload needs.
- Pods are more flexible and scalable compared to traditional VMs, making them suitable for a wide range of cloud-native applications.
- VMs are more appropriate for legacy applications that are not yet optimized for containerization, offering a more traditional computational environment.
Data Centers and Reliability
Puzl's infrastructure spans several Tier II/III data centers across Europe, each designed for maximum reliability and uptime. Redundancy in power supply and internet connectivity ensures stable and resilient service delivery.
Redundant systems for power and internet connections in these data centers are designed to minimize downtime and enhance service stability.