Adopting cloud technology to gain velocity and agility in the marketplace allows companies to focus on what matters most. However, this transition isn't without its risks. In this episode of Data (R)evolution, hosts Janki Patel Westenberg and Francesco Tisiot are joined by Dave Li, former Senior Software Engineer at Helthjem, and Oded Valin, Co-Founder & CEO at EverSQL, to discuss the application of AI in database management, the importance of expertise in cloud adoption, and the need for streamlined tools in an increasingly data-driven world.

In a world that's increasingly dependent on digital ecosystems, how do you ensure that your platform stands up to the demands of security and compliance?

Having a slow PostgreSQL or MySQL? Check out how you can get a holistic view of your database workloads and AI-driven optimization suggestions for indexes and SQL rewrites.

In the world of software development, caching is a crucial yet complex component. What happens when one of the most popular caching systems, Redis, changes its license, sending shockwaves through the community? And how does a company pivot to not one but two solutions to ensure high-performance data management? Today's discussion dives deep into one of the most critical and often-overlooked components of the software industry—caching.

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

Aiven AI Database Optimizer: Troubleshoot PostgreSQL and MySQL database performance issues within seconds, get instant optimization recommendations, and reduce your databases cost. Powered by EverSQL by Aiven.

In this workshop we’ll work together to generate embeddings for podcast transcriptions and load that data into OpenSearch. Then we’ll search the documents using similarity search and use those results to improve our responses from an LLM (Large Language Model). Along the way we’ll explain the Retrieval Augmented Generation (RAG) pattern and show how it’s possible to try different LLMs without having to completely rewrite your code.

In this session, we will show how to leverage Aiven for Dragonfly and Aiven for AI. First, we’ll discuss how to increase your throughput and reduce memory usage by 25% compared to open-source Redis. Then explore scalability, efficiency, and advanced capabilities ideal for caching, gaming leaderboards, messaging, AI applications, and more. After that, we’ll jump into Aiven’s latest AI use cases and cover.

Jamie Arlen explores some of the guidance he gave over 5000 days ago to see if it still tracks. Jamie is the CISO of Aiven. He brings over 30 years of tech security experience to the conversation and provides a wealth of guidance to security team members future CISOs and tech-security-aware professionals. The following is a talk given at the Open Source Data Infrastructure Meetup in Toronto recorded 22 May 2024.

Allan Stojanovic gives us a look into the concerns of a Security Analysis and Response Engineer. In this talk, Allan shares how to think about abuse from day one and to understand the Who, What, When, Where, and Why, and How your platforms are susceptible to abuse.` Allan is a Staff Security Analysis and Response Engineer at Aiven. He has survived IT for over 30 years working in nearly every vertical doing may different roles, mostly in the Information Security field.