Operations | Monitoring | ITSM | DevOps | Cloud

June 2024

Introducing Aiven for Valkey

Aiven offers managed Valkey, an open source NoSQL database compatible with legacy OSS Redis* perfect for caching, message queues, and more. Today ‍Aiven is launching Aiven for Valkey to give customers a fully open source Redis alternative. Aiven for Caching will remain available to existing customers, but due to recent Redis licensing changes, it will remain on Redis 7.2.4. Valkey is a fork of OSS Redis, version 7.2.5, maintained by the Linux Foundation and is fully backwards compatible with Redis.

What's Happening in the Caching World: Redis, Valkey and DragonFly

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.

Building smart data platforms with AI to drive business innovation

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 workshop: Preparing and Using Data for AI with LangChain and OpenSearch

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.

Build to scale with Aiven!

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.