Operations | Monitoring | ITSM | DevOps | Cloud

To improve efficiency and reduce cloud spending, teams frequently schedule pods on Kubernetes nodes dynamically, based on available resources. However, this practice has also introduced a new security challenge: The workloads maintained by a development team are now spread between Kubernetes nodes, exposing more hosts and increasing the blast radius when user credentials are compromised.

Security threats aren’t always loud and don’t always crash systems or trigger alarms. Sometimes they creep in quietly as a steady stream of unauthorized login attempts, slow brute-force probes, or unknown IPs scanning your server for vulnerabilities. These behaviors often show up in logs before they surface in metrics but if you're only watching logs or only tracking metrics, you're missing part of the story.

Storage reduction example on PowerShell logs with full context.

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.

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.

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.

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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.

We're excited to officially launch our OpenTelemetry instrumentation. AppSignal is now able to expand our observability to a dozen popular languages, frameworks, and tools, giving customers the deep insights they need to monitor their entire stack. In this article, we'll show you how you can use AppSignal and OpenTelemetry to proactively monitor your app.

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.