Operations | Monitoring | ITSM | DevOps | Cloud

Run an AI SRE Agent Entirely Inside AWS with Bedrock and S3: AURA

An on-call question returns the threshold and the escalation owner from your own runbooks, and the answer comes back without a call to anyone outside. AURA runs against Bedrock as its model provider, using Claude Sonnet 5 served by AWS in the same region. Authentication is the normal AWS credential chain: a profile on a laptop, an IAM role in EKS.

Virtana's Agentic AI

Anomaly Detection Isn’t Agentic AI. Detecting anomalies is table stakes. That’s pattern recognition. Agentic AI is different. It understands dependency chains, explains cause and recommends action. There’s a big gap between: “Something changed.” and “Here’s what broke and what to do next.” If your AI stops at anomaly scoring, you’re still doing the thinking.

Workspace now reads your tickets and automates the fix

IT teams don’t need another place to look for problems. They need a faster way to understand what is happening, decide what to do next, and act before disruption spreads. That has always been the promise of Workspace. It gives IT teams a conversational way to investigate issues, surface insights from Nexthink data, and understand what needs attention across the digital workplace. Now, Workspace is entering its next phase.

The EU Is Starting to Put Labels on the Synthetic Internet

It's getting harder and harder to distinguish between content produced by people and content produced by machines on the internet. AI can now create convincing articles, images, audio and video that may not be immediately recognized as being AI-generated. Europe has decided that this uncertainty cannot be left to users to deal with on their own. The EU AI Act introduces new transparency obligations, which are beginning to establish a more structured framework for identifying synthetic content.

Backspaces, Retypes, and Idle Time: The Small Signals That Make a Draft Look Genuinely Written

A backspace that fixes a typo. A five-second pause before a hard sentence. A word typed, deleted, and replaced with a better one. A cursor that sits idle for two minutes while the writer stares at the screen. None of these moments feel significant while they are happening. They are the ordinary texture of writing, so automatic that most writers never notice them. But together, they are what separates a document that reads as genuinely drafted from one that reads as simply deposited.

What is going wrong with AI coding? Live Laugh Logs ep. 4

Welcome to Episode 4 of Live Laugh Logs, the podcast from the Coralogix Developer Relations team. This week, Chris Cooney joins Annie to share five key DevOps skills that have become even more important in the age of agentic code development, and gives you five key actions you can do today to start levelling up these skills. Subscribe to our channel for more insights into observability and AI.

Builder in the loop: what production agents were missing before AURA

Builder in the loop is a Mezmo interview series with the engineers, product leaders, and operators shaping AURA. Each installment looks past the product layer to explore the decisions, tradeoffs, and lessons involved in building agents for real production work. This installment features Mike Shearer, the engineer who built AURA and, until recently, its only developer. AI agents are easy to believe in when the task is small.