Optimize PostgreSQL and MySQL queries in 60 seconds. Submit a slow SQL query to get it optimized for free, including indexing recommendations and automatically re-written optimized query.

3). The complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient. In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.

Join Josh Mesout, CIO of Civo, in this workshop where we simplify AI and ML, focusing on deploying large language models (LLMs) using open-source tools. Learn how to leverage Civo infrastructure, understand the benefits of open-source models, and gain practical insights into setting up your own AI deployment. Ideal for software engineers and tech enthusiasts looking to reduce reliance on ChatGPT and take control of their machine learning models.

Modernizing platforms for the AI-driven future is essential. Aiven’s data and AI platform empowers businesses to thrive in this ever-evolving digital landscape. In this Data (R)evolution episode, Aiven’s Bob Krygowski and Stu Garrow explain how to tackle the challenges of scaling a company, benefits of multicloud flexibility, the role of organizational sponsorship, and the innovative "Bring Your Own Cloud" (BYOC) concept. Our discussion also covers open-source technology and cloud portability—key elements for modernizing your infrastructure in an AI-driven future.

Pixie is an open source observability tool for Kubernetes applications. Pixie automatically collects telemetry data, including full-body requests, resource and network metrics, application profiles, and more. Using Pixie, developers can view the high-level state of their cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs) without having to modify or redeploy their code.