Operations | Monitoring | ITSM | DevOps | Cloud

Aiven Senior Solutions Architect Tony Piazza joined the company in March. Within months he had merged five PRs adding Google Cloud support and Terraform-based provisioning to the OpenSearch Migration Assistant, a tool that previously only worked on AWS. Tony talks with Jay Miller about: Why he went from consulting to open source contribution. How a consultant’s habit of finding project risks early shaped the work. His first conference keynote at OpenSearchCon. What contributing as a vendor-neutral company looks like. Where he’s contributing next, including ML Commons, Data Prepper and the docs.

In this video, Dev Advocate Cole Bowden walks you through where traditional data historians fail, and why a dedicated time series database like InfluxDB can streamline your operations. With an AI-powered demo showcasing an automative plant's data, you'll see the value of InfluxDB and where it can power insights that Data Historians can't handle on their own.

LLM providers charge you for caching, and they do it on their terms. You can run it yourself for a fraction of the cost. In this Aiven webinar, Jay Miller (Staff Developer Advocate) shows how to use semantic caching and semantic routing on Valkey to cut prompt costs + latency. You'll see a working demo, "Template Scout", that searches GitHub for deployable repos and picks the cheapest model that can answer each question.

Aiven and SFEIR walk through what a governed, AI-ready foundation for product data looks like, and what it actually takes to build one. We'll be joined by Céline Thooris, Managing Director of WEnvision (SFEIR group), and Stan Dmitriev, Product Director for Aiven Context, sharing a first-hand view from the field and a concrete next step. What to expect.

My interview guest is Kristiyan Ivanov creator of BetterDB. In this conversation we talk about building tools to observe Valkey and Redis as well as AI Observability, the Valkey Community and More! Learn more about AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.