Operations | Monitoring | ITSM | DevOps | Cloud

See how Selector transforms NOC operations in real time. This demo walks through a typical workflow - from ingesting massive volumes of network and system data to automatically detecting anomalies, correlating events, and pinpointing true root cause. Instead of chasing alerts across siloed tools, Selector delivers a single, intelligent view - reducing noise, highlighting impact, and accelerating resolution.

See how Selector’s AI Copilot accelerates issue diagnosis in real time. In this demo, watch how natural language queries and AI-driven insights help teams quickly analyze incidents, surface root cause, and understand impact - without digging through multiple tools. Instead of manual investigation, Selector guides operators to answers faster, reducing noise and speeding up resolution. Built for network and operations teams who need clarity, speed, and smarter troubleshooting.

See how Selector enables real-time validation and visibility through customizable dashboards. In this demo, watch how teams can quickly monitor network and system performance, validate changes, and track key metrics - all in one unified view. Instead of piecing together data across tools, Selector delivers clear, actionable insights that help teams stay aligned and make faster decisions. Built for network and operations teams who need instant visibility and confidence in their environment.

See how Selector turns fragmented alerts into actionable insight through intelligent correlation. In this demo, watch how events from across the environment are automatically connected, reducing noise and revealing the true root cause behind incidents. Instead of chasing isolated alerts, teams get a single, clear view of what’s happening and what to do next - faster. Built for network and operations teams who need to cut through noise and resolve issues with confidence.

In this episode, Andrew Hillier and Bijit Ghosh discuss the evolving landscape of AI, discussing the growing prominence of inference over training, hybrid cloud strategies, balancing cost with performance, and the orchestration of complex hardware environments. The conversation also touches on emerging concepts like AI factories, the challenges of sovereign cloud, and how enterprises are navigating data gravity and regulatory constraints. It's a deep dive into optimizing AI infrastructure, managing costs, and the disruptive changes that are transforming both technology and business outcomes.

In the April edition of the Kubernetes Monitoring Helm chart office hours, we discuss updates to the version 4.0 release, the upcoming 4.1 feature release, and we discuss the upcoming deprecation of the 1.x and 2.0 versions.

Welcome to the Season 4 finale of the Ship Talk podcast! Join special host Thomas Dockstader and several industry leaders at AWS re:Invent to discuss the intersection of AI and software delivery. The following is a series of interviews with partners, customers, and engineering leaders on the front lines of AI transformation. Don't miss the "Ship It or Skip It" segment, where our guests give their rapid-fire takes on everything from AI code reviews to the four-day work week.

Learn more - https://rbbn.com/acumen

Building and maintaining a 2000+ line bitbucket-pipelines.yml can be a lot of work. Now you can split large bitbucket-pipelines.yml files into multiple, smaller pipelines.yml files. These smaller files can be composed via shared pipeline syntax to replicate the functionality of the original bitbucket-pipelines.yml file. They can also be shared with and reused in other repositories.