Operations | Monitoring | ITSM | DevOps | Cloud

How to Use an AI PDF Translator for Technical Documentation

Technical documents such as runbooks, standard operating procedures, and maintenance manuals help teams work safely across countries. A PDF Translator can give global teams faster access to the same information without rebuilding files manually. Speed is not enough, however. A mistranslated command, warning, or system status can create operational risk. An online PDF translator should therefore be used with terminology management, technical review, and final approval.

Beyond the $1 AI era: How federal agencies can build the evidence for FY27 renewals

Over the past year, federal agencies gained broad access to enterprise AI through the OneGov initiative, at prices unlike any normal software deal. The current OneGov portal lists OpenAI ChatGPT Enterprise at $1 per agency, Anthropic Claude at $1 per seat, and Google Gemini for Government at $0.47 per agency. Those introductory offers begin expiring on September 30, 2026, the final day of fiscal year (FY) 26, which places renewal squarely in the FY27 planning cycle.

How Datadog saves over $1 million each month by optimizing AI usage

At Datadog, we want to expose our engineers to high-quality AI tools and workflows. However, token usage can be expensive, and finding a balance between AI cloud spend and the return on investment can be difficult. But what if engineers could maintain their current AI workflows using the same tools, but at a lower cost?

GitHub Copilot Enterprise pricing [2026]: seats, AI credits, and the September cliff

GitHub Copilot Enterprise pricing is $39 per user per month, and since June 1, 2026, each seat includes $39 in monthly GitHub AI Credits, pooled across your whole organization and consumed by token usage at per-model rates. The seat price is fixed. The bill is not: usage beyond the pooled credits is charged on top, which is why the real Enterprise question in 2026 isn't the price per seat. It's your engineers' token consumption.

Background AI agents, meet task containers

Task containers are now generally available on Upsun Cloud, giving you a place to run AI agents alongside the rest of your application. The agent runs as a container inside your Upsun Cloud project, next to the app it works on, with the same access to your environment and data as everything else deployed there. The lifecycle is the part that's new: it fits how agent workloads behave instead of forcing them to pretend to be servers. A few things up front: This is a hands-on guide.

AI SRE Agent Audits Runbook Coverage and Opens the PRs: AURA

3 a.m., the pager fires, and the runbook describes a service that shipped three versions ago. Ask the agent what the cluster actually has instead. Runbooks go stale because clusters change faster than documentation does. Every deploy, every new service, every renamed alert widens the gap between what is running and what is written down.

ChatGPT Ditches Reddit AI Search Changes Explained

ChatGPT’s Reddit citations reportedly went from making up as much as 15% of its sources to essentially 0%. So what changed? We break down why Reddit is becoming less visible in AI search, how ChatGPT appears to be changing the way it finds information, and why more citations are now coming directly from documentation, help centers, and company websites. And yes — this is the same Reddit ecosystem that helped give us the infamous “put glue on your pizza” AI answer.

How AI Transforms ITSM Workflows | Ivanti

Discover how AI transforms ITSM workflows and elevates your support team. In this video, an IT leader shares why they recommend Ivanti ITSM for its ease of workflow setup and how they are using AI to automate and amplify their service desk. From AI-powered troubleshooting that intercepts support calls before they reach technicians, to automated knowledge article generation, incident correlation, incident summarization, and AI-enhanced customer communications, see real use cases in action.

Back-to-school demand, handled: AI-powered capacity planning in one cloud DCIM

When back-to-school demand shifts overnight, your team can’t afford to chase answers across scattered spreadsheets and tools. You need a clear picture of available capacity, constraints, and priorities—all in one place. Hyperview’s cloud-based DCIM offers AI-powered capacity planning software that puts real-time capacity insights on a single dashboard, so you can act quickly and confidently as seasonal demand ramps up.

The Recruiting Tech Stack: AI Matching Tools and Dynamic QR Codes Explained

Recruiting technology conversations tend to circle back to the same handful of systems: the ATS, the HRIS, maybe a video interview platform if the organization has scaled past a certain size. Those systems matter, but they're not where a lot of the actual friction in hiring lives anymore. The friction has moved to the edges of the process, the moment a candidate first encounters a job posting, and the gap between submitting an application and actually landing in front of the right hiring manager.