Operations | Monitoring | ITSM | DevOps | Cloud

If you’re already running or are familiar with Home Assistant, you’ve likely worked with integrations, maybe a few automations, and possibly MQTT as a way to wire devices together. But webhooks add another layer of flexibility that lets you level up your smart home into a fully-customized, intelligent network. Instead of relying on built-in integrations and being confined to the same local network, you can let external devices and services push events directly into Home Assistant.

Cursor Cloud Agents are the best AI coding environment for individual developers. But for enterprises that need AI-written code to ship through staging to production with audit trails, RBAC, and compliance - there's a gap. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

There is plenty of talk about the value of Digital Employee Experience (DEX). But how can you use it a typical day? Do organizations need a DEX specialist? And what about AI — must you master the art of prompting? During a casual conversation on the road to HDI Support World in Las Vegas, Dave Wagner (Almaden executive) and Bob Kruger (Chief Product Officer) answered these questions directly. Below are their key insights, preserved exactly as they shared them.

You can now customize the logo shown in your email header on all paid plans. We’ve also updated how email customization works in StatusGator to make branding options clearer and easier to manage.

Migrating to SAP S/4HANA is one of the most consequential system changes your organization will undertake. The technical complexity alone is significant. But the real risk is operational: maintaining uninterrupted service delivery while transforming the core systems your business depends on. Failure to manage this well causes outages, data inconsistencies, user disruption, and cost overruns. None of those are acceptable outcomes. The good news is these risks are manageable.

Every enterprise is building AI agents. Marketing has one summarizing campaign performance. Engineering has one triaging incidents. Customer support has one resolving tickets. Finance has one processing invoices. Each was built by a different team, using a different framework, with different assumptions about security. Now those agents are talking to each other through agent-to-agent (A2A) communication. The incident-triage agent calls the customer-support agent to check affected accounts.

Running VMs in Kubernetes sounds like a crazy workaround for avoiding vendor lock-in, and standardizing legacy applications and newer containerized workloads on one control plane with one set of security policies to govern them all. It is, however, a rapidly growing pattern, and KubeVirt live migration — moving running VMs between nodes without downtime — is increasingly central to platform engineering use cases that require full VMs, like on-demand CI/CD pipelines.

The thing with Change Advisory Boards is that the intent was always good. Get smart people in a room, look at the evidence, and make sure nothing catastrophic goes out the door. In theory, that's hard to argue with. It doesn't scale in practice. Things happen between meetings. Teams rush to hit the window. The CAB meeting may not catch every risky deployment, but at least everyone can feel good about the process before the incident happens. Automated release management asks a different question entirely.

The traditional dashboard workflow, teams slowly handcrafting visualizations to track critical KPIs, is dying in a world of AI agents. A few years ago, in a pre-agentic-everything world, we tried to make it easier for developers to monitor critical experiences. We introduced Insights pages, which were pre-configured dashboards any Sentry user could adopt instantly that surfaced common health signals, like Web and Mobile Vitals.