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Introducing OrionIQ: The End of Manual Observability

OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action across systems.

Komodor Provides Autonomous AI SRE Troubleshooting for ClusterAPI

Cluster API (CAPI) is transforming how organizations deploy and manage fleets of Kubernetes clusters by introducing declarative, Kubernetes-style APIs to automate cluster provisioning and lifecycle management. While CAPI excels at creating consistent and repeatable cluster deployments across different infrastructure providers, operating it at a massive scale introduces unique day-to-day challenges.

Why Connected Platforms Will Power the Next Generation of AI in Engineering | Harness Blog

AI is quickly becoming part of the engineering workflow. Teams are experimenting with assistants and agents that can answer questions, investigate incidents, suggest changes, and automate parts of software delivery. But there is a problem hiding underneath all of that momentum. Most engineering environments were not built to give AI the context it needs. In many organizations, the service catalog lives in one place. Deployment data lives in another. Incident history sits in a separate system.

Testing AI with AI: Why Deterministic Frameworks Fail at Chatbot Validation and What Actually Works | Harness Blog

Chatbots are becoming ubiquitous. Customer support, internal knowledge bases, developer tools, healthcare portals - if it has a user interface, someone is shipping a conversational AI layer on top of it. And the pace is only accelerating. But here's the problem nobody wants to talk about: we still don’t have a reliable way to test these chatbots at scale. Not because testing is new to us. We've been testing software for decades.

The Path to AI-Ready Operations Begins with Truth

Enterprises expect AI to improve how they operate, yet many underestimate the level of clarity required for intelligent systems to perform reliably. AI-assisted operations demand input signals that are accurate, consistent, and interpretable. They require a unified understanding of how services behave, how disruptions originate, and how decisions influence downstream outcomes. This level of coherence is impossible without operational truth.

Sample AI traces at 100% without sampling everything

A little while ago, when agents were telling me “You’re absolutely right!”, I was building webvitals.com. You put in a URL, it kicks off an API request to a Next.js API route that invokes an agent with a few tools to scan it and provide AI generated suggestions to improve your… you guessed it… Web Vitals. Do we even care about these anymore?

Every engineering org is taking an AI readiness test right now

Tamar Bercovici has been at Box for 15 years. She leads the core platform, the backend layer that storage, search, metadata, and AI capabilities all run on. When her systems go down, Box goes down. On a recent episode of the Braintrust podcast, she said the debate around AI-generated code tends to focus on whether the models will write clean code and/or introduce bugs. Tamar's focus is somewhere else entirely.

How Specialised Agencies Are Elevating Web Design in the Hospitality Sector

The digital landscape is no longer satisfied with generic templates and basic layouts. Today, digital creators and marketers must build experiences that are not only visually striking but also highly functional. This challenge is especially prominent in the hospitality sector. When consumers are booking a boutique hotel, planning a luxury weekend getaway, or reserving a table at an exclusive restaurant, their digital experience often dictates their final purchasing decisions. The website serves as the very first digital lobby a guest enters. If that lobby feels outdated or difficult to navigate, the customer will simply walk away.

The Quest for Workday Integration: A Tale of Transformation

An international IT solutions company recently embarked on a mission to reshape its HR operations. The HR team sought to revamp its workflows by connecting its ADP payroll system to Workday, ensuring new hire and employee data updates flowed seamlessly, like clockwork. Automation was the goal, and Workday integration lay at the heart of this strategy. The HR team's mission? Banish tedious manual tasks, minimize errors, amplify efficiency, and unlock the full potential of its workforce through cutting-edge automation. The brave and determined team accepted the challenge to turn this vision into reality.

Cracking the Code: How Undetectable AI Actually Works to Bypass Modern AI Detectors

In the rapidly evolving digital landscape of 2026, the tug-of-war between artificial intelligence and content authenticity has reached a fever pitch. As creators, marketers, and SEO specialists, we find ourselves in a constant cycle: we use AI to scale production, only to be met by increasingly sophisticated AI detectors designed to flag our work as "robotic.".