Gcore, a European CDN technology provider, has introduced significant updates to its Managed Kubernetes service that allows customers to operate containers on bare metal servers.



This new implementation will improve latency and performance, guarantee high availability and reliability, and eliminate interference from neighboring virtual machines.

The Director of Edge Cloud Stream at Gcore, Seva Vayner, stated that the majority of cloud vendors only support Kubernetes containers in VM-based infrastructure, making Gcore's new bare metal service the solution for industries such as banking, healthcare, broadcasting, and entertainment that require a competitive advantage for real-time applications and live-streaming graphics. Notably, Gcore's Managed Kubernetes service is less expensive than hyperscalers, and it provides comprehensive production-level, SLA-backed cluster management at no additional cost.

Gcore's Managed Kubernetes service also simplifies infrastructure deployment, facilitates scalability and application testing, and reduces IT team workloads. The service will first be available in Luxembourg, Frankfurt, Singapore, and Virginia, USA, before being rolled out to 14 more locations worldwide.

Customers of this service can take advantage of robust data protection across the network and transport layers, as well as application-level protection via a WAF. Gcore claims to be one of the first cloud service providers to adopt Intel SGX encryption standards at the IaaS level to provide enhanced client security. Additionally, Gcore complies with all GDPR requirements regarding customer-stored personal data.

Gcore's Managed Kubernetes service offers low-latency capabilities by providing a highly optimized and efficient infrastructure for running Kubernetes clusters. Here are some key features that contribute to its low-latency capabilities:

1. Proximity to Users: Gcore's Managed Kubernetes service is designed to be deployed in data centers close to end users, reducing the network latency for accessing applications and services.

2. Network Optimization: Gcore optimizes its network infrastructure to ensure minimal latency between nodes within the Kubernetes cluster, enabling fast communication between microservices and applications.

3. High-Performance Storage: By leveraging high-performance storage solutions, Gcore's Managed Kubernetes service minimizes the time taken for input/output operations, which is crucial for low-latency applications.

4. Container Orchestration Efficiency: Gcore's platform is engineered to efficiently orchestrate containers within Kubernetes clusters, ensuring that workloads are distributed optimally to minimize response times.

5. Edge Computing Support: Gcore's Managed Kubernetes service can be extended to support edge computing scenarios, allowing for processing closer to the point of data generation, further reducing latency for certain use cases.

6. Traffic Management: Gcore optimizes network traffic within the Kubernetes cluster, utilizing technologies such as service mesh and intelligent routing to minimize latency and ensure efficient communication between microservices.

7. Edge Locations: Gcore strategically places edge locations for its Kubernetes service, enabling organizations to deploy applications closer to end users or IoT devices, thereby reducing the distance data needs to travel and decreasing latency.

8. Monitoring and Optimization: Gcore employs sophisticated monitoring and optimization tools to continuously assess the performance of Kubernetes clusters and identify opportunities for reducing latency, ensuring that the infrastructure remains finely tuned for low-latency requirements.

9. Auto-Scaling: Gcore's Managed Kubernetes service leverages auto-scaling capabilities to dynamically adjust resources based on demand, preventing overloading and sluggish response times during peak usage periods.

10. Global Load Balancing: By integrating global load balancing capabilities, Gcore's Managed Kubernetes service ensures that incoming traffic is efficiently distributed across geographically dispersed clusters, helping to minimize latency for users accessing applications from different regions.

These combined measures enable Gcore's Managed Kubernetes service to provide an environment optimized for low-latency applications, supporting a wide range of use cases from real-time data processing to high-frequency trading and interactive gaming platforms.