Operations | Monitoring | ITSM | DevOps | Cloud

Zander Matheson, Staff Product Manager at Confluent, chats with Hugh at Confluent Current about Kafka war stories.

SIGNL4 ensures an automated delivery of your critical alerts from IT, security systems, machines or sensors. Reliability is provided through features like customizable and versatile notification channels, confirmations, proactive and efficient escalation procedures, swift response and real-time alerting, and mobile accessibility to keep you informed anywhere, anytime.

Watch Coroot’s Root Cause Analysis AI pinpoint the exact cause of an incident and suggest fixes in seconds.

In this episode, Daniel Roe, Lead Maintainer of the Nuxt framework, discusses his journey from studying law and theology to leading a major open-source framework. He explains Nuxt's unique governance and how Nuxt manages contributions through volunteer-driven work, LLM-powered issue triage, and creating welcoming spaces for newcomers to open source. This week, our chat touches on a variety of topics including.

Software development is hard, especially when you have to ensure every component works together; it's an integration maze! And running a full stack (like React, Go, and Postgres) on your dev machine often means one thing: running out of memory! The Fix: We'll show you how to use Proxymock to record your components, effectively letting you run the frontend (or any component) completely isolated.

Tired of complex setups and running out of memory just to test one component? Learn how to use Proxymock (a FREE tool) to solve your biggest testing headache: component isolation! This demo shows you how to record and mock interactions across a complex React, Golang, and PostgreSQL stack, allowing you to find bugs before they ever hit production. In This Demo: This strategy lets you easily isolate components, simulate customer behavior, and ensure quality with lightning-fast local testing.

Training an AI foundation model on over a trillion data points sounds impossible without hitting your production systems. Here's how Datadog did it with Apache Iceberg for their time series forecasting model TOTO. The key challenge: extracting massive historical observability data (metrics spanning years) and running incremental preprocessing pipelines without overwhelming production services. Iceberg solved this by providing schema governance, consistency guarantees, and seamless integration with ML tools like Ray and PyTorch.

Want to see how dbForge AI Assistant works? This quick video shows how the Assistant generates SQL, explains it, fixes errors, optimizes queries, and converts natural language to SQL. No manual coding needed Works inside multiple dbForge products.