Kara reveals the exclusive hoodie created for Ubuntu's 20th anniversary! A must-have collector's item! Want more Ubuntu content and behind-the-scenes looks? Hit that follow button!
When assessing SaaS observability solutions, customers often explore features that are built into the platform, but there ia a whole collection of deployable libraries across all SaaS vendors. In Coralogix, we lead the way in deployable assets, with 4400+ alerts, dashboards, parsing rules, metric generation rules and more. But why should you care about these deployable assets, and why do they accelerate insight generation so profoundly?
After a bit of a break, we are back with episode 6 and we are joined by Carter Rabasa, Head of Developer Relations for Langflow at IBM, where we discuss his career, approach to team management, and the evolving tech landscape.
Led by Sumo Logic experts Andrei and Austin, this session dives into troubleshooting dashboards, silent failure scenarios, and missing collector data—helping your team spot blind spots, catch incidents you never knew you missed, close visibility gaps, and ensure dashboards reflect the full picture for faster resolution.
Building a great developer experience is about more than just the code. It’s about creating a unified ecosystem where your tools work together seamlessly. That’s been the vision behind our work on the Mezmo MCP Server, and I’m excited to share it with you. At its core, the MCP Server is a universal remote for your data pipeline.
Downtime costs businesses an average of $5,600 per minute according to Gartner research. For many organizations, even a few hours of unplanned outages can mean lost revenue, damaged reputation, and frustrated customers. The good news? You can reduce downtime by up to 90% by implementing the right proactive monitoring strategies.
To kick off Season 3, host Steve Jones is joined by Mike Bowers, Chief Architect at data technology company FairCom. The conversation includes an overview of Mike’s background, the work he does at FairCom, plenty of SQL talk, and advice on getting into the industry.
What is vector search? In this breakdown, learn how vector search leverages machine learning to capture the meaning and context of unstructured data by transforming it into a numeric representation that is stored in a vector database. This video also explains the difference between sparse and dense embeddings, and how vector search differs from semantic search and lexical search.