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One integration token, one config file, no code. AURA routes the question to a runbook-reader worker, queries Notion, and answers from what your team wrote.

A root cause is not a fix. AURA keeps working the problem, taking what you find on the host and coming back with the user ID mismatch behind the failure. What follows a root cause is normally manual: check the mount, compare ownership on the host against the user inside the container, and get it wrong at least once before it lands.

There's a risk window after a malicious package is published when nobody knows it's there. Scanners alone can't close that window.

A coworker says checkout is broken and nothing else. That is the whole prompt. AURA reads the live logs and comes back with the payment service. Normally a message like this is the start of guessing at a service and opening dashboards until something looks wrong. Here it is the entire input: no service named, no error string, no time range.

The RHEL 7 agent deadline is here. Are you covered? Puppet Agent support for RHEL 7 is expiring soon—here is how to keep your systems secure. With RHEL 7 EOL approaching in August 2026, upgrading business-critical systems can be a massive headache. This overview explains how Puppet Extended Agent Support provides continued coverage for your legacy environments. Subscribe for more infrastructure management tips and leave a comment if you are planning a migration.

If you can't articulate the specific problem AI is solving, the conversation's over... full stop. is a great fit for real problems, but it's not the only solution, and it's not a solution looking for a problem to justify itself. Watch the full IT Leadership Lab session.#Shorts.

If someone else can turn it off, you don't own it. And most organisations haven't fully reckoned with what that means for their AI strategy. Civo Product Director Russ Smith draws a direct line from the Broadcom/VMware licensing shock to the Anthropic model restrictions, two different industries, same structural problem. When a vendor can change the rules overnight, businesses that built their strategy around that vendor are left with uncertainty and no clear next step.

Every dependency security program needs a way to handle packages that have a valid business reason to stay in use despite a CVE or license issue. Ideal exception processes give developers full context upfront, including safer alternatives, then route real requests to a security team that weighs the risk profile and logs who requested it, who approved it, and for how long. Get the friction wrong in either direction and the process fails: too much and developers route around it, too little and it becomes the default path.

Claude Code changes how fast software gets written. Harness changes whether you can trust what shipped. In this video, watch how autonomous AI agents handle end-to-end bug fixing, security remediation, and deployment verification—all within an automated Harness pipeline. From reading a ticket to running canary deployments and self-healing broken manifests, see how engineering teams can deliver software faster without sacrificing quality or security.

What happens when AI agents can operate faster than humans can monitor them? In this clip, we discuss the risks of autonomous AI systems, why human oversight may not be enough, and the growing need for machines that can monitor other machines.