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APAC in 2025: A Harder Look at AI, Data and Cybersecurity Standards

This year has been transformative for technology, reshaping the business landscape with groundbreaking advancements and unprecedented challenges. Generative AI continues to unlock new possibilities, while cybersecurity threats have escalated to new heights. Across APAC — a fast-emerging global innovation hub — businesses have grappled with the twin forces of regulatory evolution and technological breakthroughs.
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Engineering AI systems with Model Context Protocol

On November 26, 2024, Anthropic released the Model Context Protocol (MCP)-an open standard for data exchange between applications and data sources. MCP simplifies how Large Language Models (LLMs) interact with external tools and data, addressing the challenges developers face when integrating AI into their systems. At Raygun, we've been exploring agentic workflows to improve productivity and saw real potential in MCP. This post will explain how MCP works, what we've implemented, and where we think the standard is headed.

Ops Centric AI: The foundation of best-in-class incident management

Your ITOps and Incident Management teams face thousands of alerts daily. How can they find the “needle in the haystack” to prevent critical alerts from escalating into incidents that impact users and customers? This challenge plagues modern IT departments as alert noise, fragmented data, and chaotic workflows extend response times and undermine service reliability.

How Profiling helped fix slowness in Sentry's AI Autofix

There’s a common misunderstanding that profiling is only useful for tiny savings that impact infra costs at scale - the so-called “milliseconds matter” approach. But by dogfooding our own profiling tools, we fixed a problem that saved tens of seconds off each user interaction with our AI agent (and for those of you who like math, that’s four orders of magnitude bigger than those milliseconds that matter).

The Technology Driving Accuracy in AI Grading Tools

With the rapid development of artificial intelligence, AI grading tools are reshaping how assessments are conducted in educational settings. These tools promise consistency, efficiency, and objectivity in grading, transforming the traditional approach educators have relied on for years. Yet, the technology behind these systems is what truly enables them to deliver high accuracy, resulting in more reliable outcomes for students and instructors alike.

It's OK to ask why AI prototypes are not getting to production

Enterprise GenAI prototypes are everywhere. GenAI in production are far fewer. Why? Management consultancies have different success numbers – we’ve heard 3% or 5% going to prod across tens of thousands of AI proof of concepts. For obvious reasons, it’s not a number LLM enthusiasts want to talk about. But we probably should.

Monitor your Google Gemini apps with Datadog LLM Observability

Google’s comprehensive AI offering includes Vertex AI, a cloud-based platform for building and deploying AI applications, AI Studio, a web platform for quickly prototyping and testing AI applications, and Gemini, their multimodal model. Gemini offers advanced capabilities in image, code, and text generation and can be used to implement chatbot assistants, perform complex data analysis, generate design assets, and more.

Understanding AI Art: A Guide for Creative Industries

Artificial Intelligence (AI) has made significant strides across various sectors, and the creative industries are no exception. AI art-visual art generated or enhanced by algorithms-has emerged as a transformative force, reshaping how we think about creativity and unlocking new possibilities for artists, designers, and businesses alike. This guide dives into the essence of AI art, its applications, ethical concerns, and its future in creative fields.

Understanding Generative AI: What It Is and How It Works

Generative AI represents one of the most transformative advancements in the field of artificial intelligence. By leveraging advanced machine learning techniques, it has redefined how machines interact with and understand data. From creating realistic images to enhancing predictive analytics, the applications of generative AI are vast and impactful.

Automate Your Trades & Earn: The Ultimate Guide to Auto Trading Bots

Modern retail investors can automate trading routines to increase efficiency of investments and make money reliably without actively participating in the market. Robots are capable of doing everything, from generating signals to executing market orders, without any human intervention aside from initial tuning. With the latest advancements in AI for financial markets, newcomers are encouraged to experiment and explore the field of trading automation more than ever!