Operations | Monitoring | ITSM | DevOps | Cloud

Tonie and Tony discuss a new article on dynamic alerts, which uses machine learning to adapt alert thresholds to normal patterns of behavior. They discuss how this works in Redgate Monitor, and how it helps increase alert relevance, allowing teams to focus on real performance issues.

The 2025 State of the Database Landscape Report sheds light on the current state of database management and offers valuable insights into how organizations can navigate and simplify the growing complexities.

Today, we’re excited to announce a much-awaited feature in SigNoz: Infrastructure Monitoring. With our latest OpenTelemetry-powered Infra Monitoring, we bring you a native OpenTelemetry experience that seamlessly integrates infrastructure metrics with application performance data.

Stan Gilstrap discusses how ScanSource and Ribbon’s partnership provides comprehensive solutions for resellers, addressing customer challenges with cloud-native technologies and AI.

Mike Twomey discusses how Ribbon assists service providers in overcoming network compliance and management challenges through comprehensive solutions.

McKinsey's engineering productivity metrics...

Uptime Monitoring in Sentry has arrived! Cody from Sentry's developer experience team takes you through how to configure uptime monitors to monitor not just website status, but also how it uses tracing to help troubleshoot and debug issues.

Pebble OS is now open-source. Former Pebble engineers François Baldassari, Chris Coleman, and Brad Murray break down its innovations and why this release matters.

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.