Get alerted and fix issues with full context. Qovery Observe notifies you when something goes wrong and guides you straight to the metrics and signals that explain why, all in one place.
As digital and AI applications become more prevalent, the need for fast, efficient, and consistent management of IT operations is critical. This session will show you how to automate responses to Splunk Observability Platform alerts using Red Hat Ansible Automation Platform's Event-Driven Ansible.
Disclosure: This comparison is written by our product marketing team that works closely with IT operations and on-call workflows. While we build incident alerting software ourselves, this guide is designed to help teams understand how different tools fit different operational needs. We believe there is no single “best” tool. Only the right fit for a given team.
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.
In Part 1, we talked about all the hidden complexity inside AI systems: the pipelines, GPUs, embeddings, vector databases, orchestration layers, and everything else that quietly determines how reliable an AI-first product really is. But all of that software still rests on something far less glamorous: the physical infrastructure underneath it.
“We’ve got a new alert – have you seen it yet?”“Which one? The CPU spike or the unusual login?”“The login. Same region as yesterday. But the CPU thing looks suspicious too.”“…Alright, I’ll check the firewall logs. You take the containers.”“Perfect. Let’s hope this doesn’t turn into another all-hands situation.” Does this conversation sound familiar?
Join Shailesh Manjrekar (Chief AI & Marketing Officer) for a quick walk through the Gartner IOCS conference in Las Vegas. In this video, Shailesh takes you from the "hype" of the session rooms straight to the Fabrix.ai booth, where we are showing the reality of how we help enterprises Build, Run, and Observe AI Agents today. Attending the conference? Come say hi! at Booth:#522.
Monitoring starts with data, but action depends on timely alerts. When an alerting workflow relies on scheduled queries or external checks, engineers miss short windows where values shift and conditions form. The alerting plugin closes that gap by evaluating alert rules inside InfluxDB 3 as new values arrive, enabling faster detection and more responsive monitoring.
As we head into the holiday season, the ilert team is doing the opposite of slowing down; we’re ramping up. Over the past weeks, we’ve shipped a wave of impactful improvements across alerting, AI-powered automation, mobile app, and status pages. From major upgrades that reshape how teams triage incidents to smaller refinements that remove daily friction, this release is packed with updates designed to make on-call and operations smoother, smarter, and faster. Let’s dive in.
Our newest SIGNL4 release brings a set of practical improvements designed to make everyday operations easier and more reliable. These updates focus on helping teams plan better, react faster, and get more out of the Mobile App – without adding complexity.