Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

The last year and a half has seen a massive uptake in using and building with #generativeAI, powered by large language models (LLMs). In this episode, we'll learn more about what it takes to deploy those LLMs into production with efficient and reliable monitoring and maintenance.

Introducing Charmed MongoDB – Canonical’s enterprise-grade MongoDB database offering. Charmed MongoDB simplifies the operations of MongoDB applications through automation, security, scalability, availability and monitoring. Charmed MongoDB is the cost-effective, reliable, secure and scalable way to use MongoDB on any cloud, hybrid cloud or on-premise. It also provides additional support, managed services, and expert services, so enterprises can run MongoDB in production at a lower cost, bug-free and in the most optimised way.

Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds.