Operations | Monitoring | ITSM | DevOps | Cloud

Built for Engineers: Datadog's Vision for the Future

Datadog was built by engineers, for engineers. At, Datadog Co-founder & CEO Olivier Pomel opened the keynote with a clear message: observability, security and AI are converging. From infrastructure to AI Agents, the future of engineering requires one unified platform. Catch all product announcements to see what’s next in observability and security on our Youtube channel!

13: Effective Resource Optimization and Kubernetes Insights with Daniele Polencic

Kubernetes, container resources, request and limits, sizing, the impact of getting things wrong, CPU limits, JVMs, HPA and VPA, does Karpenter fix the request and limit problem? We’ve got a great episode for you today! Thanks for joining us on Densify Talks! We welcome Daniele Polencic, one of the lead instructors at LearnK8s, which specializes in containers and Kubernetes technologies.

What's New in Flowmon ADS 12.5?

In this webinar, we’ll introduce the new features, including: AI-Powered Threat Briefings – A new dashboard that correlates global threat intelligence with your network’s current and historical data. Enhanced Event Visualization – Dive into a redesigned event detail streamlining user experience Expert-level recommendations - Guided next steps for each detection, helping analysts of all skill levels validate and resolve incidents with confidence.

Get Kafka-Nated - Episode 1: Apache Kafka's Evolution: 14 Years of Streaming

Grab your cup and prepare to get Kafka-Nated! In this series we’ll be digging into everything from Apache Kafka, from the pre history of Kafka to the latest Kafka Improvement Proposal (KIP). We’ll be joined by a range of guests who have been at the forefront of Kafka for many years. And to ensure you don’t kip (I know - we’re sorry) we’re offering every attendee a free coffee voucher. What We’ll Cover in Episode 1.

Can AI/ML Guide Observability? Tech Talk #6

This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.