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How Agentic AI is Reengineering Advertising Revenue Operations: Workflows to Workforce

Digital advertising is experiencing a shift similar to manufacturing's industrial revolution. AI is automating routine tasks, freeing up human teams for higher-level strategic work, moving us from manual campaign management to automated systems where humans design the strategy rather than execute every detail. This represents the biggest operational change since programmatic advertising began.

Coralogix launches OpenAPI endpoints

Observability is about much more than dashboards and alerts. Extensible platforms that integrate into the user’s tech stack are fundamental parts of a great developer experience. This is why Coralogix has supported gRPC APIs for account management, data ingress & query, alert definition, dashboard creation, permissions management and more. Today, Coralogix adds a new integration, with the launch of OpenAPI endpoints for all existing functionality.

MCP Observability with OpenTelemetry

2025 has truly been the year of Agentic AI, with MCP (Model Context Protocol) emerging as one of its flashy and most talked-about innovations. While many products have seamlessly integrated MCP servers into their systems, these servers are increasingly being labelled as black boxes, opaque components that handle critical tasks but offer little visibility into what's happening under the hood. We prompt an agent, a tool gets invoked, and a response is generated. But what really happens in between?

MCP Server Integration & Much More: What's New in VictoriaMetrics Cloud Q2 2025

Q2 2025 has brought another wave of improvements to VictoriaMetrics Cloud! If you tuned in to our latest Quarterly Virtual Meetup, you saw firsthand how we’re making observability even more accessible, powerful, and interactive.

Is AI About to Create Its Own Language? Here's What You Need to Know!

This panel brings together experts Josh Mesout (Civo), Nobel Chowdary Mandepudi (Arm), Jimil Patel (Intuit), Numa Dhamani (iVerify), and James Gress (Accenture) to discuss the cutting edge of AI and machine learning. They explore when AI might develop its own language beyond human syntax, the evolving landscape of ML frameworks such as MLIR, Mojo, and JAX, and the challenges involved in bridging the gap from AI research to production while optimizing models for deployment.

How we built agentic incident response

‍ AI already transforms how we detect, respond to, and resolve outages. Traditional workflows often force responders to switch between dashboards, shift through logs, and coordinate across fragmented channels under stress. This reactive, manual approach leads to slower resolution, higher operational costs, and burnout, especially as IT systems grow more complex. ‍ At ilert, we are not just discussing the future of incident management – we are actively building it.

From Detection to Action: Elevating Microsoft Sentinel with SIGNL4 Mobile Alerting

It’s 2:13 a.m. Your Microsoft Sentinel instance has flagged a high-severity alert – potential lateral movement detected across several endpoints. But the on-call analyst is fast asleep. The alert was sent… via email. By the time someone notices, hours have passed. The threat? It’s already spread. In modern security operations, detection is only half the battle. The other half? Making sure the right human sees the alert – and acts on it – in time.

Netdata: The Fastest Path to Full Stack Observability. AI Powered.

Netdata is a real-time, high-performance and on-premises observability platform designed to monitor metrics and logs with unparalleled efficiency. Netdata requires zero-configuration to get started, and provides alerts, anomaly detection and AI assisted troubleshooting out of the box, providing a powerful and comprehensive infrastructure monitoring experience. Netdata is known for its distributed design. Instead of funneling all data into a few central databases like most traditional monitoring solutions, Netdata processes data at the edge, keeping it close to the source.