The Cloud Native Computing Foundation (CNCF), in collaboration with Linux Foundation Education, announced the global availability of the Certified Kubernetes Network Engineer (CKNE) exam. This certification is designed to assess engineers' practical and hands-on skills in designing, securing, troubleshooting, and resolving Kubernetes networking issues within complex production environments, especially with the growing workloads of artificial intelligence that impose precise and high-performance networking requirements.
Nature of the Practical Exam and Domain Distribution
The CKNE exam is a 120-minute, performance-based test where candidates perform technical tasks within a Linux-based virtual desktop environment. The exam focuses on measuring the ability to handle networking challenges in hybrid and multi-cluster environments, and competency evaluations are divided across five main domains with the following weight distributions:
- Network Security and Policies (25%): Includes traffic control, implementing Network Policies, and securing communication mechanisms inside containers.
- Service Networking and DNS (25%): Covers service discovery, domain name resolution, and ensuring inter-connectivity between cloud applications.
- Advanced Data Flow Management (20%): Traffic routing and load balancing across complex Kubernetes environments.
- Core Infrastructure and Container Network Interfaces (CNI) (15%): Configuring CNI components and direct network connectivity between Pods.
- Observability and Network Diagnostics (15%): Monitoring network communication behavior, analyzing packet traffic, and troubleshooting and resolving faults.
Prerequisites and Specialized Training Path
The foundation does not require prior certifications to take the CKNE exam, but the content and tasks assume that candidates possess solid Kubernetes administrative knowledge equivalent to the Certified Kubernetes Administrator (CKA) level. To support applicants in preparing for the exam, the foundation launched a training program called the CKNE Certification Pathway, which includes five learning modules directly aligned with the exam competencies, covering CNI architecture, service networking and DNS, traffic management, network security, and monitoring and observability tools.
Broad Contributions and Upcoming Roadmap for AI Certifications
The new certification was developed with the contribution of a select group of major tech companies specializing in cloud architectures and networking, including Microsoft, Ericsson, Infosys, Isovalent (part of Cisco), Kong, Solo, Dogado, and RX-M. This step comes in response to networks transforming into one of the most sensitive and complex aspects for platform engineering teams and Site Reliability Engineers (SREs).
The CNCF also revealed plans to expand its certification portfolio during 2027 by launching two new accreditations that focus directly on the convergence of Kubernetes technologies with artificial intelligence: Kubernetes AI Assistant (KAIA), and Certified Kubernetes Inference Engineer (CKIE).