Operations | Monitoring | ITSM | DevOps | Cloud

Picture this: It’s Monday morning, the Service Desk ticket queue is piling up, and Level 1 analysts are already in full “firefighter mode.” Every ticket feels like a blaze: users locked out, critical apps running slow, unexplained system failures. The problem? They’re trying to put out flames without seeing where the fire started. Without real visibility into the environment, troubleshooting is based on trial and error.

Your team just deployed to production. The infrastructure spun up in 90 seconds, but recreating your monitoring? That’ll take hours. It’s added late in the process, managed through dashboards, and prone to inconsistency. Short-term, this slows delivery and creates visibility gaps that surface only during incidents. Long-term, it leaves a business-critical capability out of your observability pipeline.

This is the fourth post in our series on the future of incident management, which builds upon The Future of Incident Management: Your Blueprint for Operational Excellence, How Native Process Automation and Auto-Remediation Drive Operational Excellence, and Service Intelligence is the Future of Proactive Incident Management.

Retrieval-Augmented Generation (RAG) pipelines have become an integral part of how Large Language Models (LLMs) access information beyond their training cutoff. These pipelines enable LLMs to deliver current, accurate, and grounded responses. By fetching relevant external documents, RAG mitigates common LLM challenges like factual inaccuracies and hallucinations. However, this methodology introduces a new complexity: evaluating RAG pipeline performance is particularly challenging.

Observability has come a long way from its origins in monitoring logs and metrics. Today, it sits on a maturity curve: Organizations move from fragmented tool stacks to unified platforms to proactive engineering practices that tie reliability to business outcomes. To better understand where IT leaders are on this curve, Grafana Labs surveyed 150 decision-makers across industries in advance of ObservabilityCON 2025.

SquaredUp's existing notifications fire when monitors change state. With Notification API, you control the trigger. Send dashboards on a schedule, before meetings, or on-demand through chat commands. In this step-by-step guide, you’ll learn how to automate sending SquaredUp dashboards to Slack. I’ll use Power Automate as the example, but the same approach works with other automation tools such as Zapier, Make, n8n, or even a custom script, as long as it can send an HTTP request.

Large Language Models (LLMs) are transforming how businesses interact with users, automate workflows, and deliver insights in real time. But as powerful as these models are, running them at scale comes with unique challenges, from hallucinations and latency spikes to cost overruns and user trust issues.

If you’re a remote worker struggling with video calls, or a gamer noticing lag, a quick Internet ping test using an online ping tester can give you a simple yes/no answer: Is my connection alive, and how fast does it respond?. But if you’re a network admin or IT professional, that’s just scratching the surface. Business networks are more complex beasts.

Secure communication in healthcare is no longer optional. With patient data, lab results, and care coordination increasingly handled over mobile and digital channels, hospitals and clinics need tools that keep messages safe and compliant with HIPAA regulations. A HIPAA-compliant messaging app goes beyond standard texting apps, offering encryption, audit trails, and signed Business Associate Agreements (BAAs) to meet the requirements of the HIPAA Security Rule.

Price is not the same as cost. When organizations evaluate new end-user technology investments, whether that’s laptops, operating systems, or management tools the conversation inevitably turns to Total Cost of Ownership (TCO). TCO studies traditionally focus on direct, measurable costs: hardware procurement, software licensing, support contracts, and lifecycle services. But there’s a growing blind spot in these calculations: the employee experience.