Operations | Monitoring | ITSM | DevOps | Cloud

Mobile applications offer increased flexibility to both users and developers. Users can access content on a wide range of devices, operating systems, and network types, while developers can leverage touch screens and orientation-based layouts to create more responsive features. However, all of these factors create new testing challenges. To ensure a good user experience (UX), developers have to test their apps across many device models and platforms, which can become costly and time-consuming.

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.

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.

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.

August 5, 2025, Las Vegas Black Hat 2025, Abnormal AI officially launched its Security Posture Management for Microsoft 365. This release marks a critical turning point. In an era where attackers weaponized AI to uncover and exploit misconfigured cloud environments at machine speed, reactive security simply can’t keep pace. Threat actors are now leveraging automated AI to scan systems, identify configuration drift, escalate privileges, and deploy zero‑day exploits in seconds.