Operations | Monitoring | ITSM | DevOps | Cloud

A smarter filter for Grafana Alerting: Introducing a new way to find your alerts

At Grafana Labs, we believe that effective alerting is the cornerstone of any robust observability strategy. That’s why we’re constantly listening to your feedback and working to improve the Grafana user experience so it’s easier for you to manage and interact with your alert rules. Today, we’ve excited to tell you about an update in Grafana Alerting that’s built to address some of your biggest pain points.

SIGNL4 Onboarding: Completing Your Purchase

Welcome to SIGNL4! In this onboarding video, we’ll walk you through how to complete your purchase so you can unlock the full power of SIGNL4 for your team. Whether you’re just getting started or upgrading from a trial, this quick tutorial makes it easy to activate your subscription and start benefiting from advanced incident alerting and on-call management. In this video, you’ll learn how to: Whether you’re in IT operations, DevOps, SOC, or MSSP environments, SIGNL4 helps your team stay connected to every critical incident — anywhere, anytime.

Apica + ilert: Closing the gap between detection and resolution

ilert now offers a native integration with Apica that connects telemetry events to ilert’s alerting, on-call, and incident communication. It helps SRE, DevOps, and IT operations teams turn detection into action faster, reduce alert noise with the aid of AI, and keep stakeholders informed without unnecessary notifications.

The Secret Cost of Pagers

What’s the first thing that comes to mind when you hear the word ‘pager?’ For most people its either the ’90s or doctors. Which to me, feels like an oxymoron. A decades old device mixed with an industry based on innovation? It’s a recipe for disaster. Yet somehow, pagers still accompany doctors on their daily rounds. And while there are plenty of supposed “reasons” why, most of them don’t hold up, especially now.

Enhancing Building Automation: Overcoming Challenges with SIGNL4

Building Automation Systems (BAS) are integral to modern facility management, providing centralized control over a building’s mechanical and electrical systems. By automating these systems, BAS enhances occupant comfort, reduces energy consumption, and streamlines facility operations.

Data-Driven Decisions: What Ops Can Borrow from ERP Dashboards

In operations, we talk a lot about metrics. Teams rely on dashboards, charts, and alerts to spot issues before they spiral. But the truth is, many Ops dashboards are overloaded with noise and lack the clarity that decision-makers need. Business leaders in other domains, like enterprise resource planning (ERP), often take a more disciplined approach. Their dashboards are built to show exactly what matters for day-to-day and long-term performance.

Real-time Alerting for Data Center Networks

Kentik’s Phil Gervasi shows how modern data centers—especially those powering AI workloads—can spot and fix problems before they impact performance or budgets. See how Kentik’s Data Explorer helps you identify disruptive flows, reclaim wasted network capacity, and turn insights into real-time alerts. With monitor-only mode and integrations with systems like PagerDuty and ServiceNow, your network becomes its own early warning system—driving uptime, cost savings, and better AI performance.

Tech Talk - Holistic Visibility and Effective Alerting Across IT and OT Assets

On this Tech Talk to learn how to gain complete visibility into all hosts and their potential vulnerabilities, misconfigurations and unpatched components in a single analytics platform, adding Tenable asset and exposure risk context improves alert prioritization and joint customers use Splunk for Centralized Reporting.

Manage your dashboards and monitors at scale

In the early stages of building a system, a few well-placed dashboards and monitors can provide sufficient visibility into service health and performance. However, as infrastructure scales and teams grow, so does the complexity of the monitoring landscape. In organizations where individual teams manage their own services but rely on a central platform or observability team for tooling and guidance, this complexity can quickly multiply.