Operations | Monitoring | ITSM | DevOps | Cloud

One of the core features of Oh Dear is that we can notify you whenever we detect problems with one of your sites. Our notification system is quite powerful. We support many different channels (like email, Slack, Telegram, ... and a whole bunch more), and have fine-grained control over which events should trigger a notification. Today, we've added notification logs.

Your SD-WAN is constantly making decisions. It assesses path quality based on metrics like packet loss, latency, and jitter, and steers traffic for your most critical applications accordingly. For this, it is an indispensable technology. But have you ever paused to ask a fundamental question: Is the path it chooses truly the best one available, or just the best one it can see from its limited vantage point?

Every network operator knows the feeling: a critical alert fires, and suddenly it’s all hands on deck. But instead of jumping straight to resolution, you find yourself sifting through irrelevant alerts, flipping between tools, and trying to assemble a puzzle with missing pieces. In today’s high-stakes, hybrid environments, that kind of delay isn’t just frustrating—it’s costly. When issues arise, fast, intelligent triage is a must.

In 2022, the Office of Communications (Ofcom) conducted a market study into the UK cloud industry to investigate whether the UK’s cloud market was working well, and if any regulatory intervention was needed¹. Ofcom concluded that the market was dominated by AWS and Microsoft, and that competition was limited, and referred matter to the Competition and Markets Authority (CMA) for further investigation².

A lot of IT organizations (I daresay most IT organizations) aren’t short on bots; they’re short on direction. You've got GenAI copilots here, virtual assistants there, and workflow bots running in many different tools. Maybe one automates diagnostics while another resets passwords. But none of them talk. None of them collaborate. None of them understand what the others are doing. That’s not automation; that’s entropy.

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International businesses and near-citywide college campuses require effective network management solutions to minimize downtime, optimize performance and strengthen cybersecurity. In summary, network management helps maintain the efficiency, reliability and security of a local and/or cloud-based network. However, developing a viable network management strategy requires an understanding beyond its actions.

Customer service automation has come a long way from basic phone menus to highly interactive tools. Despite these advancements, traditional automated Interactive Voice Response (IVR) system implementations and basic chatbots still leave users frustrated due to their rigid workflows, lack of context awareness, and weak language comprehension. This often results in dropped calls, costly escalations to human agents, and a decline in customer trust.

If you’ve ever stared at your cloud bill and thought, “How on earth did this get so crazy?” — you’re not alone. Especially when AI workloads come into play, those GPU costs can feel like a runaway train. The good news? It doesn’t have to be that way. The magic happens when you’ve got someone from every team that cares about smart growth (FinOps, AI/ML, product, engineering, whatever) all in one room, looking at the same set of numbers.

Storage reduction example on PowerShell logs with full context.