talk-data.com

Hello,

We'd like to invite you to another session of our meetup. The main theme of this session is Maximizing Cloud ROI: FinOps and Kubernetes Efficiency, and this time we're experimenting with two talks.

Timeline

• 18:30 - Doors open
• 19:00 - Opening words and introductions
• 19:10 - Optimize Kubernetes costs while boosting your performance - Laurent Gil, Co-Founder and CPO, CAST AI. On average, 37% of the computing power for cloud-based applications goes unused, and managing costs with Kubernetes can be tough. In this talk, Laurent will outline actionable steps that teams can employ to reduce waste and enhance performance, emphasizing the crucial role of automation.
• 20:00 - Break
• 20:30 - How FinOps in business as usual saved us 30% of our environment costs - Chris Reidy, FinOps Consultant, Liquid Reply. On average, 30% of cloud investment is waste. In this talk Chris will share his experience with how considering cost saving opportunities during routine tasks helped reduce costs by around 35% without meaningful operational overhead or increase in work load for the DevOps teams.
• 21:20 - Closing words and networking

Huge thanks to our speakers for volunteering these talks and to Reply for hosting us this month.

Cristian and Sascha, the meetup co-organizers.

For security professionals seeking reliable ways to combat persistent threats to their networks, there’s encouraging news. Tools that employ AI and machine learning have begun to replace the older rules- and signature-based tools that can no longer combat today’s sophisticated attacks. In this ebook, Oracle’s Laurent Gil and Recorded Future’s Allan Liska look at the strengths (and limitations) of AI- and ML-based security tools for dealing with today’s threat landscape. This high-level overview demonstrates how these new tools use AI and ML to quickly identify threats, connect attack patterns, and allow operators and analysts to focus on their core mission. You’ll also learn how managed security service providers (MSSPs) use AI and ML to identify patterns from across their customer base. This ebook explains: Why rules-based, signature-based, and firewall solutions have fallen short How automated bots enable cybercriminals and nation-state actors to attack your network The evolution of the botnet: how threat actors constantly change their attack strategy How AI and ML techniques in web applications help you observe, quantify, and classify inbound requests How to detect insider threats and advanced persistent threat actors with AI and ML tools Case studies that show how a media company, an airline, and a university use AL and ML in security