Operations | Monitoring | ITSM | DevOps | Cloud

The Interface Is the Intelligence: Why Action-First UX Beats Conversational AI in Incident Response

It’s 2:47 a.m. A P1 alert fires. The on-call engineer opens ilert, sees the AI has already investigated, and is presented with three remediation options. What happens next is the moment we obsessed over. ‍ Most AI tooling at that moment hands the engineer a numbered list in a chat window and waits. The engineer reads, selects mentally, types a reply, and the agent resumes.

Transform ticket hell into smooth operations #ITSM #AI

Infraon ITSM uses advanced "ai" capabilities to manage operational noise, significantly boosting "business efficiency". It features a robust "ticketing system" and "sla" management for prompt resolutions, alongside self-service portals and a comprehensive "knowledge base" to enhance the "service desk" experience.

Enhancing our API for better agentic consumption

AI coding agents like Claude Code and Codex are becoming a real part of developer workflows. They don't just write code, they call APIs, interpret responses, and take action based on what they find. That means the quality of your API responses directly affects how useful an agent can be. We've shipped a series of improvements to the Oh Dear API with this in mind. Every change helps humans too, but we specifically optimized for how agents consume and reason about data.

Load Testing: An Essential Guide for 2026 | Harness Blog

This comprehensive guide covers the fundamentals of load testing, key differences from stress and performance testing, step-by-step execution methods, popular tools, and best practices to help teams build resilient systems with confidence. In today's always-on digital economy, a single slow page or unexpected crash during peak traffic can cost businesses thousands or even millions of dollars in lost revenue, damaged reputation, and frustrated customers.

The Modern Incident Management Playbook: From Alert Fatigue to AI-Driven Orchestration

A complete guide to modern incident management and how it’s transforming into a strategic business function. Kamalesh Srikanth , Product Strategy Leader at AlertOps If you’ve worked in IT, infrastructure, or operations for any length of time, you’ve lived through the chaos of a critical incident. Systems down, alerts blaring, Slack pinging, emails piling up and somewhere in that noise, your team is trying to figure out what actually broke and how to fix it fast.

Real-Time Visibility, Orchestrated Deployments, and More

The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options. Here’s what’s new.

Advancing Your Device Management Practice to Autonomous Endpoint Management

Real customer experiences. Real automation best practices. Real outcomes. Manual IT processes can’t keep up with evolving threats, hybrid work and rising expectations for seamless digital experiences. Join this session to discover how your organization can dramatically reduce support tickets and strengthen security posture with Ivanti’s autonomous endpoint management (AEM) solutions. What you’ll hear about.

Analyzing round trip query latency

It’s an all too common scenario: You get paged for some queries timing out, but when you investigate, the database performance looks unchanged. Something must have changed, though. If the database doesn’t look overloaded, where are these timeouts coming from? The answer often lies outside the database itself. Round trip query latency includes every hop between your application and the database, including connection pools, load balancers, and proxies.

How to Translate YouTube Videos: Tools and Best Practices

Most creators don't think about translation until they open their analytics one day and see traffic coming in from Brazil, Germany, or Japan. And they just sit there staring at it like, wait, people actually want to watch this? In a different language? That's usually the moment it all clicks. The good news is that tools built to translate YouTube video content have gotten genuinely good. Not impressive for a computer good. Actually, it's good. Dubbed audio that sounds natural, lip sync that holds up, and a workflow that doesn't require a team or a big budget to pull off.