Join us on September 27th, as we host a Google Developers Expert, Demi Ben-Ari.
Meetup language: ENG
Demi is a software engineer, Entrepreneur and an International Tech Speaker. He also serves as a Co-Founder & VP R&D @ Panorays).
Demi over 12 years of experience in building various systems both from the field of near real time applications and Big Data distributed systems.
Co-Founder of the “Big Things” Big Data community and Google Developer Group Cloud. He is a Big Data Expert, but interested in all kinds of technologies, from front-end to backend, whatever moves data around.
The meetup will be built around two main topics:
1. Hacker vs Company, Reducing the Risk
Looking at the ongoing risks on any company today, no matter how much time and money you'll invest in cyber security as CISO or any security practitioner, You always arrive to same conclusion, it's not enough to achieve high standard of security, you have to do it 24/7 according to the changing cyber threats. In the talk we'll show the different aspects of Cyber Security in the modern world, talking about Cloud and other external services that any size of a company uses now a days. We'll show from experience that the best and most fit approach is to achieve on going monitoring on your security posture. For the "why"? because the only thing that is a 100% sure, that the attack surface of every company is changing constantly, So we should keep on validating our security posture accordingly.
Lessons learned promised and a glimpse of the Hackers view, because it's always interesting to see how you look from the outside.
2. Kubernetes Fueled Hackers
To defend against attacks, think like a hacker. But does that mean you need to be a DevOps expert? Security researchers today need to discover new attack techniques. However, much of their focus is diverged to backend coding. We share how to build an infrastructure for researchers that allows them concentrate on business logic and writing hacker “tasks”. Using Docker and Kubernetes on Google Cloud, these tasks can then be performed in parallel and without a lot of DevOps hassle. Our technique removes two common barriers: first, long and risky deployment processes and second, low transparency within the production system.
Hope to see many of you there!