Guide to Kubernetes Networking
The article examines Kubernetes, the premier container orchestration platform for running containerized workloads. It explains how networking is fundamental to Kubernetes, introducing its networking model, load balancing, and various service layers for exposing application endpoints.
- EARTHLY: making DevOps builds super simple
- https://earthly.dev/blog/k8s-networking/
- Networking
How to Protect Apps and APIs In Kubernetes from Zero-Day Attacks
Because they represent unknown vulnerabilities, zero-day attacks are one of the most nefarious and challenging in cybersecurity. In this article, I show how training machine learning models on real time, incoming HTTP/S requests. are more adept at detecting and stopping them than threat signatures.
- DEV Community
- https://dev.to/openappsec/how-to-protect-apps-and-apis-in-kubernetes-from-zero-day-attacks-30k0
- Cybersecurity
4 Steps To Running A Successful Network Penetration Test
Network penetration testing is vital in today's information security architecture. Follow these 4 main steps to run a successful pen test.
- The QA Lead
- https://theqalead.com/test-management/network-penetration-testing/
- Cybersecurity
Why Natural Language IVR Is A Nightmare for Customers
Despite their advancements, natural language processing systems can also struggle with the diverse range of dialects, regional accents, and mispronunciations that customers may use, potentially leading to further inaccuracies.
- Crazy Egg
- https://docs.google.com/document/d/1oQ5QGVjdZVNViIzE1jpn0q2MeeTc77qM5jchdaXyvAw/edit?usp=sharing
- AI/Machine Learning, Business Applications
5 Main Stages Of The Vulnerability Management Process
As opposed to vulnerability assessment or program, which is a one-time event, vulnerability management is a continuous, ongoing process. Follow these five main steps of the vulnerability management process to strengthen your cybersecurity.
- The QA Lead
- https://theqalead.com/test-management/vulnerability-management-process/
- Cybersecurity
Why a Smart IVR Is Harder to Make Work Than Most Realize
Customers have increasingly grown accustomed to having machine learning and generative AI technologies embedded inside consumer products. However, this mainstreaming masks the daunting challenges businesses face in integrating them properly as effective use cases.
- Crazy Egg
- https://docs.google.com/document/d/1sx5SaVXNKnjGetTA0BKBSRcm1w8tYEMiUvjfzDu5_8s/edit?usp=sharing
- AI/Machine Learning, Business Applications