Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Enhancing Mental Health with Artificial Intelligence

Artificial Intelligence is rapidly changing the way people understand, manage and improve mental health. From digital wellbeing apps to workplace analytics, AI is creating new opportunities to identify mental health concerns earlier, provide more personalised support and make guidance more accessible. While AI cannot replace human empathy, professional therapy or meaningful relationships, it can play a valuable supporting role in helping individuals and organisations take mental health more seriously.

Universal KMSPico Tool for Windows 11/10 and Office 2021

KMSPico is widely known as a practical activation utility for users who want to prepare Windows and Microsoft Office for everyday work quickly and without complicated manual steps. Its popularity comes from a simple idea: one compact tool can help complete the activation process for several Microsoft products, including Windows 11, Windows 10, and Office 2021. For many users, this makes KMSPico a convenient part of a fresh system setup, especially after reinstalling Windows or installing a new Office package.

Why Mandating AI Tools Backfires on Engineering Teams

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

From vibe code to production-ready: observability for Next.js and Supabase apps

The way we build software has drastically changed over the past few years. What hasn’t changed is that this software ends up in front of real people: you, me, my mom. And when those users inevitably run into something broken, you as the application’s developer need to be equipped with the right tools, context and understanding of what broke, where it broke, and how to fix it as quickly as possible. Every day we’re inching closer to self-healing software.

Three Architectural Principles for Mythos & GPT-Cyber Readiness

Since Anthropic announced Project Glasswing and the capabilities of Claude Mythos Preview, and OpenAI announced GPT-Cyber – my calendar has looked the same every day: Back-to-back calls with CISOs, AppSec leads, and security architects. And every call starts with the same question.

Together AI Pricing In 2026: Models, Costs, And How To Manage Your Bill

Together AI pricing ranges from $0.10 to $9.00 per million tokens. Compare all models, GPU rates, free tier details, and practical cost optimization strategies. Written for engineering leads, platform teams, and FinOps practitioners evaluating open-source inference providers.

LLM API Pricing Comparison In 2026: Every Major Model, Ranked By Cost

Compare LLM API pricing across OpenAI, Anthropic, Google, DeepSeek, and Mistral in 2026. Full pricing tables, hidden cost breakdowns, and proven strategies to cut AI spend. Written for engineering leads, platform teams, and FinOps practitioners evaluating or optimizing production AI costs.

Easily connect any AI assistant (Claude, Codex, ...) to your Oh Dear data

Oh Dear keeps a watchful eye on your websites: uptime, performance, SSL certificates, broken links, DNS, cron jobs. If something can quietly break, we're already checking it for you. Today we're connecting that data to a new place: your AI assistant. We just shipped an MCP integration. If you use Claude, Cursor, or any other client that speaks the Model Context Protocol, you can now ask questions like "any broken links on my site?" or "when does my certificate expire?" in plain language.

What is AI Agent Orchestration? Concept + How It Works

Have you tried using AI at work and felt it works well for small tasks, but not beyond that? It can handle simple things like creating a summary, writing a draft, or answering a question. This works because the task is clear. But most tasks are not that simple. They involve multiple steps. One step depends on another. Data comes from different systems, and some decisions need checks before moving ahead. This is where a single AI system starts to struggle.

AI startup on a budget? How to master GPU computing without overspending

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”. You can watch the full recording by clicking here! Cheap GPUs don't kill AI startups. Cheap thinking about GPUs does. In 2026, the teams burning through runway fastest aren't the ones who can't afford compute; they're the ones measuring the wrong thing and scaling the wrong way.