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When AI Becomes the Judge: Understanding "LLM-as-a-Judge"

Imagine building a chatbot or code generator that not only writes answers - but also grades them. In the past, ensuring AI quality meant recruiting human reviewers or using simple metrics (BLEU, ROUGE) that miss nuance. Today, we can leverage Generative AI itself to evaluate its own work. LLM-as-a-Judge means using one Large Language Model (LLM) - like GPT-4.1 or Claude 4 Sonnet/Opus - to assess the outputs of another. Instead of a human grader, we prompt an LLM to ask questions like "Is this answer correct?" or "Is it on-topic?" and return a score or label. This approach is automated, fast, and surprisingly effective.

Is on-prem the top choice to run AI?

‎‎Subscribe. Fuel your curiosity. In this episode, we break down what we’ve learned from teams running AI at scale, and why on-premises infrastructure is making a strong comeback. We’re seeing a shift: performance, cost control, data sovereignty, and platform flexibility are driving conversations about on-prem strategies for AI. No one-size-fits-all answers, but if you’re building or scaling AI, this might help you think a few steps ahead.

Are you running AI the smart way?

Data locality: AI models often rely on large datasets. Locating compute close to the data reduces transfer times and improves training performance. Latency sensitivity: Real-time AI applications, like recommendation systems or edge analytics, depend on low-latency environments. This can be more easily tuned in private or hybrid setups. Hardware specialization: Some AI workloads benefit from custom hardware like GPUs or TPUs. Private cloud allows more control over this, while public cloud offers broader access but less customization.

Beyond AI hype: put reliability at the forefront

Reliability is a constant for every technology, whether it’s cloud, microservices, or AI. Full transcript:  Just a few years ago everybody was screaming about microservices, "That's the wave of the future," and now everybody's looking at AI. No matter what the change in technology hot topic is, your reliability should still be at the forefront of everything that you're doing.

Can Agentic AI Fix the Chatbot Fatigue in the CX Industry? A Strategic Analysis for CXOs

Belinda Parmar, CEO of The Empathy Business, in a recent article with Financial Times, said, Customer service has undergone a significant transformation in recent years. Where success was once measured by resolution speed and cost efficiency, today’s customers expect far more. They seek personalized interactions, contextual awareness, and a genuine human touch, delivered alongside fast, reliable support.

With AI, You're Gonna Have to Manage Your (Massive) Energy Use in SPM

Forget boring spreadsheets. Strategic portfolio management (SPM) isn't just about ticking boxes. It’s the big boss plan that makes sure every penny spent and every project your company starts points towards the main goal. It's your company's smart GPS, guiding you through the AI energy maze. When it comes to AI's power hunger, SPM is a knight in shining armor. It helps leaders get smart, making sure they grab all the fancy tech without trashing the world.

Smarter debugging with Sentry MCP and Cursor

Debugging a production issue with Cursor? Your workflow probably looks like this: Alt-Tab to Sentry, copy error details, switch back to your IDE, paste into Cursor. By the time you’ve context-switched three times, you’ve lost your flow and you’re looking at generic suggestions that don’t show any understanding of your actual production environment or codebase.

Semantic Caching: What We Measured, Why It Matters

Semantic caching promises to make AI systems faster and cheaper by reducing duplicate calls to large language models (LLMs). But what happens when it doesn’t work as expected? We built a test environment to find out. Through a caching system, we evaluated how semantically similar queries would behave. When the cache worked, response times were fast. When it didn’t, things got expensive. In fact, a single semantic cache miss increased latency by more than 2.5x.

Unlock Endless Creativity: Revolutionize Your Videos with SuperMaker AI Video Generator!

In a world where creativity knows no bounds, the ability to bring your wildest ideas to life has never been more accessible. Imagine generating stunning videos from simple prompts with no cameras, no crews, and no technical hurdles.SuperMaker AI Video Generator is revolutionizing the way we create, making professional-quality video production as easy as typing a sentence.

AI Agents Console: Monitor the behavior and interactions of any AI agent in your stack

With Datadog's AI Agents Console, you can monitor the behavior and interactions of any AI agent that’s a part of your enterprise stack, whether that’s a computer use agent like OpenAI’s Operator, IDE agent like Cursor, DevOps agent like Github Copilot, enterprise business agent like Agentforce, or your internally built agents. You'll have full visibility into every agent's actions, insights into the security and performance of your agents, analytics on user engagement, and measurable business value from every agent, all in a centralized location.

AI-Driven Efficiency with Zebra Mobile Computing AI Suite | Zebra

Enhance your Zebra mobile devices with the Zebra Mobile Computing AI Suite, a comprehensive set of advanced AI tools designed to empower frontline workers to perform tasks more efficiently and accurately. This suite includes the AI Data Capture SDK, which offers powerful AI models for a variety of applications. Additionally, solution accelerators with sample applications and APIs are included to expedite the development of AI-driven data capture solutions for enterprise needs like inventory management and price verification. These tools seamlessly integrate into business applications, improving workflow efficiency.

Getting started with the relaxAI API: Sovereign, cost-effective AI

Earlier this year, we launched relaxAI, an AI assistant designed with one paramount focus: your privacy. We’re now excited to announce the relaxAI API is in General Availability (GA) offering an OpenAI interface. This gives UK organizations up to 90% cost savings versus leading providers while ensuring data never leaves UK jurisdiction.

Introducing the Cortex MCP Server

Cortex gives engineering teams full visibility and control over their services, from ownership and standards to service history and production readiness. Our goal is to help teams stay aligned and move faster so they are ready for whatever is ahead. The reality for any engineering team is that developers spend the most of their time in their IDE, not their IDP. And while developers love the context Cortex provides, they don’t love context switching.

Top Career Paths After an Online MCA Degree: From Developer to Data Scientist

The tech industry is moving at lightning speed and so are the ways people learn and build careers. Over the past few years, online MCA degrees have gone from being a backup option to a smart, future-ready choice for students and working professionals alike. If you're wondering what kind of opportunities an online MCA can lead to, you're in the right place. Let's break down some of the most promising career paths available to you after completing an online Master of Computer Applications.

Unleashing the Power of AI in Customer Service

Artificial Intelligence (AI) is transforming how customer service works, and businesses need to improve their operations and offer top-notch customer satisfaction. With AI-driven tools and solutions, organizations can streamline processes, reduce response times, and create personalized experiences for their customers. Businesses that choose to leverage the capabilities of AI can operate more efficiently and provide superior service. Read on to explore the ways AI can be integrated into customer service, its benefits, and some of the leading platforms available today.

A Look At How You Can Streamline Your Digital Marketing Efforts With The Help Of Technology

The digital world is incredibly fast-paced, which means businesses must work smarter, not just harder, to stay ahead. Digital marketing has evolved into a complex ecosystem involving content creation, SEO, social media, analytics, email campaigns, and more. Thankfully, with the rise of powerful technologies, streamlining these efforts has never been more achievable. By leveraging the right tools and strategies, businesses can improve efficiency, reach, and ROI across their marketing campaigns.

Are Egress Fees Holding Your AI Business Back?

For AI companies, the landscape of cloud computing has always been a balancing act between innovation, costs, and compliance. That’s where Civo comes in. Offering a full cloud offering with GPUs, but without the usual headaches, Civo provides a rare combination: true data sovereignty and zero data egress charges. Let’s break down why these two features should be non-negotiables for your AI infrastructure.

How I Use GenAI as a Thought Partner, Not a Shortcut

You don’t need to be a power user to get powerful results. I’m not training models or prompting GPTs into poetry—I’m just using them to do what great managers already try to do: communicate clearly, prioritize outcomes, and lead with intention. Over the last few quarters, I’ve built a handful of custom GPTs to support my weekly, monthly, and quarterly workflows.

Why You Shouldn't Use AI for Everything in Your Business

AI tools are everywhere in 2025. They write blog posts, summarize meetings, edit videos, and generate logos in seconds. For side hustlers and solopreneurs, this level of automation feels like a dream: Instant help without the price tag of hiring a team. And when you're just getting started, it can be a huge advantage. You can use AI to start your business, validate ideas, automate content, and scale faster than ever before.

Smart Money Moves: Using AI to Start a Side Hustle in 2025

In today's fast-paced digital world, creating a secondary income stream is no longer a luxury-it's a necessity. With inflation, economic uncertainties, and evolving job markets, having a backup plan is one of the smartest financial decisions you can make. As we head deeper into the age of automation and artificial intelligence (AI), one of the most promising ways to make extra income with AI tools in 2025 is by leveraging smart, accessible platforms designed for small businesses and individuals alike.

Grafana Campfire - Using the Grafana MCP Server (Grafana Community Call - July 2025)

In this month of the Campfire Community call, we will exploring the Grafana MCP (Model Context Protocol) server - an open-source tool that enables AI assistants to directly interact with your Grafana instance. We will learn some basics such as: Join me (Usman), Matt Ryer, and David Kaltschmidt for this exciting session. Expert guests: Ioanna Armouti, and Luccas Quadros *HELPFUL LINKS* Feel free to use the YouTube live chat feature to start submitting questions, and we will add them to the agenda.

How AI Agents Reason, Act, and Automate at Scale

In our previous post, we explored the urgent need for intelligent automation in network automation, specifically how the Model Context Protocol (MCP) enables AI agents to dynamically discover and interact with the necessary tools. But access to tools is only part of the equation. To truly operate autonomously in complex environments, agents need not only connectivity but also intelligence.

Omnichannel in Retail: Why Leaders Are Deploying AI Across Customer Touchpoints

Over the past decade, customer expectations in retail have completely changed. What began as a basic need for convenience has now become a demand for seamless, personalized, and real-time experiences across every touchpoint. And if you are a retail leader, you would have probably witnessed this shift through distinct phases. While Omnichannel 1.0 was focused on showing up across platforms, Omnichannel 2.0 prioritized consistency and integration.

WebMMU: Multimodal and Multilingual Evaluation of Agent Reasoning on Web

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. Modern web agents can read, but few can see holistically. Despite rapid progress in multimodal LLMs, today's models falter when asked to visually ground UI elements, reason over DOM structures, or edit complex layouts across diverse languages and domains. WebMMU is our attempt to course-correct.

Understanding GPUs for AI success: Insights from our panel discussion

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! Last week, we hosted a panel discussion surrounding the importance of GPUs for AI success that featured Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development).

Debug live production issues with the Datadog Cursor extension

The Datadog Cursor Extension uses the Datadog remote MCP Server to give developers access to Datadog tools and observability data directly from within the Cursor IDE. The Cursor Extension enables you to view live variable values that your logpoints capture during execution, and you can use the Cursor Agent to identify the lines of code responsible for the issue at hand. The Datadog Cursor Extension is now available in Preview.

AI-Driven Alert Correlation with EventiQ in Splunk ITSI

In this video, we introduce EventiQ in Splunk ITSI, a powerful AI-driven solution designed to cut through the noise and help you find the root cause of issues faster. We’ll show you how EventiQ automatically analyzes and groups related alerts into actionable episodes, significantly reducing alert volume. We’ll cover how to enable EventiQ for a Notable Event Aggregation Policy and review the resulting episodes that it creates.

From Dial-Up to Colo: The Impact of AI on Data Center Design

In this episode of Uplink, we’re joined by Jay Smith, VP of Data Center Operations and Engineering at Evocative. With nearly 30 years in the industry, Jay unpacks how data centers are adapting to support AI’s massive power and cooling demands. This episode covers: Why colo is thriving in the AI era Liquid cooling and rear-door heat exchangers Powering 275kW racks and beyond How AI inference is shifting compute to the edge Career opportunities in infrastructure without a degree.

Data Governance and Ethics in Transportation AI

Artificial Intelligence (AI) and big data are fundamentally reshaping transportation, from smart traffic management and logistics optimization to predictive maintenance and autonomous vehicles. However, while the technology evolves at a rapid pace, the non-technical aspects of implementation, such as governance, ethics, privacy, and transparency, often lag behind. To build systems that are not only intelligent but also trustworthy, we must develop frameworks that prioritize secure data sharing, privacy preservation, and explainable AI (XAI).

Enginears Podcast: Redefining Developer Productivity in the AI Era

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

Taking AI Apps From Prototype to Production

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

How to Create Playwright Scripts for Website Monitoring with Chrome, ChatGPT & Sematext

Let’s say you want to make sure your website works as expected. You do not want to check if it just loads. You also want to check if important buttons or features are there and working. Oh, and you don’t want to just do it once. You want to keep an eye on this pretty much all the time. And, of course, you don’t want to keep checking manually if anything broke – you want to be notified, alerted when (not if) things break. You can do this by creating a Browser Monitor.

What's Driving Traffic in Rural America - Broadband, Wireless & DCI for AI

s consumers continue to shift away from traditional cable broadcasting towards streaming video services such as Netflix, Disney+, Hulu, and Paramount+, this will continue to drive the demand for robust middle mile solutions. This growth in data traffic demands not only enhance rural provider’s Internet infrastructure but also fortify their needs for data center interconnectivity (DCI) to metropolitan hubs. In this context, rural markets require connectivity solutions that can support 100G and even 400G connections to efficiently handle rising bandwidth needs tied to cloud applications and content delivery networks.

Bits AI Dev Agent: Automatically identify issues and generate code fixes

The Bits Dev Agent is an AI-powered coding assistant in Datadog designed to reclaim developer productivity by autonomously monitoring telemetry data, identifying key issues, and generating production-ready pull requests. Developers receive asynchronous, context-rich PRs with clear explanations, allowing them to shift their focus from troubleshooting to reviewing solutions and building better code.

Payment Orchestration: Leveraging AI for Smarter Payment Routing and Fraud Prevention

The digital payment landscape has undergone a remarkable transformation with the integration of artificial intelligence technologies. Modern businesses face the challenge of managing complex payment ecosystems while maintaining security and customer satisfaction. Payment orchestration emerges as the solution that bridges this gap, creating unified systems from fragmented payment infrastructures.

66% of us use AI every day, but do we actually know how it works?

There’s a new kind of thinking happening in the world. It doesn’t come with memories, emotions, or doubt. It doesn’t hesitate. It doesn’t wonder. However, it appears to be thinking. Ask it a question, and it responds in perfect grammar. Ask for help, and it gives you options. You could almost believe it understands. Almost. This is what happens when machines are trained to speak like us, but without ever needing to understand us.

Building Systems For AI: Lessons On Governance From DevOps History

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.

What Is AI Search? How It Improves Your Search Results [Quick Question Ep. 1]

In this brief episode, I explore how AI is revolutionizing the way we search. From understanding user intent to personalizing results, ranking, summarizing, and even multimodal search, AI is transforming every aspect of search relevance and performance. If you’ve ever wondered whether you really need all this context in search, the short answer is: absolutely. Watch to learn how AI search works and why it matters more than ever in the age of artificial intelligence.

A Telecom CIO's Playbook to Harnessing AI for Customer Retention

Every customer lost costs telecom providers five to seven times more than keeping an existing one. The industry experiences 15-25% annual churn rates, resulting in billions of dollars in lost revenue, as competitors readily absorb these dissatisfied customers. Warning signs typically manifest before departure, but traditional detection methods often identify them too late, after customers have already decided to switch providers.

FireHydrant MCP Server User Guide

Tips and best practices to help you get up and running with FireHydrant's Model Context Protocol integration. Manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor. Welcome to the FireHydrant MCP Server user guide! This guide will help you get up and running with FireHydrant's Model Context Protocol integration, allowing you to manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor.

Will AI Speed Development in Your Legacy App?

Some people can get an AI assistant to write a day’s worth of useful code in ten minutes. Others among us can only watch it crank out hundreds of lines of crap that never works. What’s the difference? There are some skills specific to AI development. There are also properties of the codebase we’re working in that make it amenable to AI assistance. Most AI demos use projects created from scratch with AI in mind—cute.

The AI Monitoring crisis that no one's talking about

When I spoke at AWS London earlier this year, I had the chance to discuss something that more and more teams are starting to feel: traditional observability doesn’t cut it for AI systems. In AI, “Is it running?” is no longer enough. We have to ask, “Is it right?” When I delivered that line, I saw the heads nodding. Everyone’s excited to build with LLMs, but when it comes to actually monitoring them in production? That’s where things fall apart.

5 Best AI Humanizers in 2025 (Rewrite AI Content for Free)

AI-generated drafts are faster to produce, but often feel robotic-and can be flagged by detectors like GPTZero, Originality.ai, and Turnitin. AI humanizers transform those drafts into naturalsounding text that reads like it came from a real person and bypasses the strictest detection systems. Here are the top five tools you need to know.

I built an MCP Server for Observability. This is my Unhyped Take

Recently, I read a blog titled “It’s The End Of Observability As We Know It (And I Feel Fine)”, which discussed MCP servers in observability and how these systems would potentially be the “end of observability”. As someone who has spun up an MCP server for an observability backend and as someone who has been in the space for a while, I certainly do not think so.

Release v2.6: MCP Server, AI Insights Enhancement, Okta SCIM Integration, SNMP Monitoring and more.

Netdata 2.6.0 is here and it’s our most intelligent release yet! This version brings AI-powered monitoring, easier network visibility, and smoother enterprise integrations, all designed to help you troubleshoot faster and scale smarter. What's New: Netdata Referral Program Every referred user will get a 10% discount when they subscribe to Netdata Business or Homelab - and you will receive 10% of their subscription value (up to a max of 1000$ per space). You can refer an unlimited number of users, so there's no real limit to how much you can earn with the referral program.

Learning MCP with PagerDuty

Join PagerDuty's Software Engineers José Côrte-Real and Manuel Reis, and host Daniel Afonso, Senior Developer Advocate, for a dive into Model Context Protocol (MCP) - we'll explore what it is, how it works, and showcase practical use cases in action. Plus, get an exclusive sneak peak at PagerDuty's upcoming open-source MCP server and learn how it can enhance your workflows.

Can AI Really Protect Your Business from a Data Breach?

By 2025, experts predict cybercrime will cost the world over $10.5 trillion annually. The average data breach? Almost $4.9 million. But if you run a small business, you're probably thinking: "I'm not a bank or a hospital-why would anyone target me?" The answer? Because you're easier to hack. Small and digital-first businesses now sit at the center of a rising cybercrime wave-and many don't even know it until it's too late.

Introducing JFrog's MCP Server: Better vibes and easier AI automation

Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and package information available in JFrog, such as vulnerability data from the JFrog Catalog, without needing to context-switch.

Beyond Human: AI-Powered Network Operations for the Enterprise

AI doesn’t replace teams. It frees them. AI can be viewed as a digital twin, shouldering the manual load, eliminating low-value work and giving people their time back. In network operations, where every second counts and pressure never lets up, AI becomes the way to rise above the pressing workload. The overwhelming workload isn’t due to teams being incapable, but more because they’re buried in busywork.

Elasticsearch is a recommended vector database in the NVIDIA Enterprise AI Factory validated design

Elastic now integrates with the NVIDIA Enterprise AI Factory validated design to provide users with a recommended vector database for their on-premises AI Factories. The validated design provides enterprises with a framework for building and deploying AI Factories on-premises.

MCP Server on Splunk Cloud Platform Demo

Discover the future of data interaction! This video introduces the Model Context Protocol (MCP) server on Splunk Cloud Platform, a groundbreaking capability that seamlessly connects your Splunk data with advanced AI models (LLMs). Learn how to leverage natural language to query, analyze, and manage your Splunk environment without complex SPL. In this comprehensive setup and configuration guide, we'll walk you through.

In The AI Era, The Winning Teams Track Cloud Unit Costs From Day 1

Everyone’s obsessed with speed right now. Ship fast. Stack features. Slap an LLM on it and call it v1. Amirite? But in the AI era, where cloud costs can spiral in a weekend, moving fast isn’t enough. The teams that track cloud unit costs from Day 1? They’re the ones who come out ahead. Most teams don’t start there though. They focus on building features and chasing traction, and the cloud bill just shows up like that subscription you forgot to cancel. Maybe someone glances at it.

Panel Discussion: Understanding the importance of GPUs for AI success

Are you curious about the role of GPUs in AI and how they can accelerate your projects? Join Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development) in this upcoming panel discussion as they dive into the world of GPUs and their significance in AI.

Revolutionize Your Shopify Store with AI Chatbot

The ai chatbot for shopify transforms merchant-customer interactions by streamlining conversations, processing orders efficiently, and boosting sales. Seamlessly integrated into your Shopify store, it understands product details, shipping rules, and customer preferences, allowing you to focus on strategy rather than integration.

RAISE AI Summit with PagerDuty's Jennifer Tejada and Spotify's Tyson Singer | July 2025

Hear PagerDuty CEO & Chairperson Jennifer Tejada and Spotify’s Tyson Singer, VP of Technology and Platforms on the topic of “Never Miss a Beat: Building Reliable Experiences with AI” at the RAISE AI Summit in Paris on July 9, 2025.

Demo Roundups! Meet the PagerDuty AI Agents

Welcome to the future of operations, where people and agents manage critical work together, driving productivity and efficiency. Learn how PagerDuty’s AI agents can supercharge teams, by autonomously handling repetitive tasks and resolving well-known issues, while surfacing data and insights that augment human expertise for faster resolution and higher operational resilience.

LogicMonitor in Hybrid Environments: Observability with Edwin AI powered by AWS

As enterprises scale in complexity, the infrastructure landscape is no longer just cloud or on-premises, it’s both. Hybrid is the new normal and it’s here to stay. And with that shift comes a new demand: a unified, scalable observability solution that works across the entire tech stack, from legacy hardware to cloud-native workloads. That’s where LogicMonitor comes in.

Honeycomb In Your IDE? Yes, With Hosted MCP Now Available in AWS Marketplace AI Agents and Tools Category

I’m pleased to announce the public beta of Honeycomb Hosted MCP, along with our first wave of one-click integrations for Cursor, Visual Studio Code, and Claude Desktop. We’re also very excited to announce that Hosted MCP is available on AWS AI Agents marketplace and for all Honeycomb plans (including our free plan!) at no charge. Honeycomb was built with a singular focus: how do we help teams become better at the art and craft of software development, delivery, and operations?

Is Your ITSM Environment Ready for Agentic AI? Probably Not (Yet)

Agentic AI is making waves across various industries, and its potential to transform ITSM is undeniable. With all the talk about agentic AI capabilities, you are probably daydreaming about streamlining ITSM processes through automated incident management, automated change risk analysis, improved efficiency through service desk automation, or enhanced service quality with predictive maintenance. But you also may start to wonder: How real is all of this? Is my organization truly ready for agentic AI?

Your AI Strategy Is Failing in the Seams

There’s a certain comfort in the glow of your network operations center (NOC) dashboards. For some time, the sign of a well-run NOC was that sprawling bank of screens, each dedicated to a different domain. One for the WAN, showing link status. Another for the data center, tracking backbone health. A third for cloud consumption, pulling metrics from your provider. Each screen is a neatly bordered kingdom, diligently monitored by its own set of tools. As long as the lights are green, all is well.

5 Best AI Humanizers to Bypass AI Detection in 2025

AI-generated content has become a staple across industries-from academic writing and journalism to SEO-driven blogging and corporate communications. Yet, this rapid adoption has fueled a rise in AI detection tools like GPTZero, Originality.ai, and Turnitin, all designed to flag machine-written text. To bridge the gap between machine-generated efficiency and human-like authenticity, AI humanizers have emerged as essential tools.

Monitor agents built on Amazon Bedrock with Datadog LLM Observability

As large language models (LLMs) grow more powerful, organizations are deploying agentic AI applications to tackle complex, multi-step tasks. With Amazon Bedrock Agents, developers can orchestrate these agents to manage tasks such as triggering serverless functions, calling APIs, accessing knowledge bases, and maintaining contextual conversations—all while breaking down complex user requests or tasks into manageable steps.

Real-Time Alerting for AI-Optimized Data Centers

Kentik transforms real-time network telemetry into actionable alerts for AI-optimized data centers. By converting database queries into custom alerts, engineers can detect issues like elephant flows, idle links, and packet loss before performance suffers and triggers alerts in systems like ServiceNow or PagerDuty.

How to Build Resilient Networks for AI Production Workloads

Production AI needs a network that can keep up. Learn why private, scalable connectivity is the key in our webinar recap with Vultr. AI is no longer a proof-of-concept hiding in a developer lab. It’s a full-fledged production workload, and it’s hungry for data. But as enterprises move their AI strategies from theory to reality, they’re hitting a wall that isn’t about algorithms or processing power – it’s about the network.

Introducing Coralogix's MCP Server: Helping customers build smarter AI agents

Now available: Secure, real-time access to your observability data via Coralogix’s Model Context Protocol (MCP) Server. AI agents are only as powerful as the context they’re given. Today, we’re excited to announce the launch of the Coralogix MCP Server, which enables third-party AI agents to connect directly to your observability data across production, staging, and other environments.

Key Advantages of Integrating AI Into Everyday Processes

Artificial intelligence isn't just a futuristic concept, it's actively transforming how we work, think, and solve problems today. From startups to global enterprises, businesses are realizing that integrating AI into daily operations can deliver powerful, tangible benefits. For every $1 organizations invest in generative AI, they're seeing an average return of $3.70.

Climbing the Security Pyramid: From Awareness to Automation with AI and Observability

Modern threats don't wait. They move fast, hide deep, and often strike without warning. That's why old-school security isn't enough anymore. You need more than firewalls and login rules. You need layers. You need clarity. And most of all, you need speed. This is where the security pyramid comes in. It shows how smart security stacks-from the ground up. It starts with awareness and ends with advanced tools like automation and AI. In this article, we'll break it down step by step-and show how observability and automation help you climb it.

Grok 4 Sets Records - But I'm Focused on Microsoft's 9% Sales Growth

The recent launch of Grok 4 has set the AI community buzzing. With an impressive score of 73 on TLDR’s AI benchmark, Grok 4 edges ahead of OpenAI’s O3 and Google’s Gemini 2.5 Pro, both scoring 70. Elon and the X AI team deserve praise for this breakthrough, reinforcing Grok 4’s status as potentially the most powerful LLM yet.

The Three Constraints Of AI Adoption: Code, Servers, And Wallets

Earlier this year, OpenAI’s CEO Sam Altman admitted something that should make every engineering leader pause: they’re “currently losing money” on ChatGPT Pro subscriptions, which run $200 per month. Let that sink in. A company charging two hundred dollars a month for AI access — 10 times what most SaaS products dare to ask — is still bleeding cash on every user. This isn’t a pricing problem. It’s a physics problem.

Generating end-to-end tests with AI and Playwright MCP

When I started using Playwright, there was a single command that blew me away. I immediately became (and still am) a huge Playwright Codegen fanboy. Playwright's codegen command opens up a browser window, and whatever you do in this window will be recorded. Navigating URLs, clicking links, and filling out form elements—the Playwright inspector records all your actions and generates a Playwright test for you. Magic!

The Ethics of AI in Business and Content Creation

As AI tools become everyday instruments in business and content creation, the ethics surrounding their use can no longer be ignored. From authorship and originality to bias and transparency, ethical concerns must be addressed head-on to ensure trust and integrity in the digital age. In this article, we explore the ethical dimensions of AI in business and content creation-and what responsible use looks like in 2025.

Deploying secure AI: Canonical + SpectroCloud for federal missions

As mission requirements evolve, federal agencies and defense teams need infrastructure supporting AI/ML workloads anywhere, from secure cloud environments to disconnected edge locations. In this fireside chat, Mark Lewis (VP, Application Services at Canonical) and William Crum (Senior Defense Success Engineer at SpectroCloud) discuss how their organizations are helping federal customers deploy secure, scalable, and consistent Kubernetes and AI infrastructure across hybrid and edge environments.

AI Ticket Summary in Seconds #itsupport #ai

Alloy Navigator’s AI ticket summaries help your IT team get up to speed on any support ticket—so they can resolve issues faster. No more scrolling through endless conversations and ticket updates! AI-powered summaries are available for incidents, problems, change requests, work orders, and service requests. AI ticket summarization and other AI-powered insights were introduced in the Spring 2025 release of Alloy Navigator (Enterprise and Express editions).

The Rising Role of AI in Modern Cybersecurity Service Delivery

Cybersecurity is today's most vital aspect of IT service delivery. As threats proliferate in scale, frequency, and sophistication, traditional cyber defense strategies struggle to be sufficient. This is why artificial intelligence (AI) is no longer a mere talking point but, rather a move toward needed operational reality.

How Has Medical Technology Evolved in the Last 10 Years?

The past decade has seen remarkable leaps in medical technology, transforming how care is delivered, managed and innovated. From breakthroughs in cold-chain logistics to widespread digitization of patient records, these advancements have reshaped every facet of healthcare. As patient volumes grow and data proliferates, providers have turned to new tools-both physical and digital-to maintain quality, improve outcomes and drive efficiency. Below, we explore key developments that have marked this era of rapid evolution.

How Much Power Does a NVIDIA GB300 NVL72 Need?

Note: As of publication, NVIDIA has not released final specifications for the GB300 NVL72. The details shared here are based on projections informed by GB200 benchmarks, industry analysis, and expected generational improvements. As the AI arms race accelerates, data center professionals are already preparing for what’s next: the anticipated NVIDIA GB300 NVL72.

The Rise of AI Scribe Tools: What IT Leaders Need to Know

The technology landscape is in a constant state of evolution, and IT leaders must continually adapt to innovations that redefine how organizations operate. Among the most impactful of these advancements is artificial intelligence, which is rapidly emerging as a key driver of change across sectors. As AI capabilities expand, they are fundamentally reshaping business strategies, streamlining operations, and opening new possibilities for growth and efficiency on a global scale.

Is an AI Call Bot Right for Healthcare Services?

In an industry where communication can impact patient outcomes, an AI call bot may not seem like an obvious choice for healthcare providers. However, as the need for speed, accuracy, and operational efficiency grows, more clinics, hospitals, and private practices are exploring AI voice automation as a practical solution to meet rising demands.

Pollo AI Review: AI Text-to-Video Generator (Create Video Magic)

Pollo AI is a comprehensive AI video maker and AI image generator platform that allows users to create engaging videos from various inputs, including text, images, and existing footage. In this review, the focus lies on how well Pollo AI performs as a Text to Video AI tool-evaluating its usability, output quality, model variety, pricing, and fit for different use cases.

Observability's Moneyball Moment: How AI Is Changing the Game (Not Ending It)

‍ We're not witnessing the end of observability, we're witnessing its evolution into something far more powerful. The observability industry is having its Moneyball moment. Just like Billy Beane revolutionized baseball by using data analytics to compete with teams that had vastly larger budgets, observability is undergoing a fundamental transformation.

Lumigo Launches AI Agent Observability

LLM-powered agents are reshaping software, but when they fail, troubleshooting is guesswork. Lumigo’s new AI Agent Observability, now in beta, gives you visibility into the entire lifecycle of your agents, from prompt to response to internal decision logic. Built for modern AI workloads, this feature is designed to help engineers monitor, debug, and optimize agents running on platforms like OpenAI, Anthropic, and open-source models.

Troubleshooting LangChain/LangGraph Traces: Common Issues and Fixes

We’ve covered how to get LangChain traces up and running. But even when everything’s instrumented, traces can still go missing, show up half-broken, or look nothing like what you expected. This guide is about what happens after setup, when traces exist, but something’s off.

Monitor your LiteLLM AI proxy with Datadog

As organizations rapidly scale their use of large language models (LLMs), many teams are adopting LiteLLM to simplify access to a diverse set of LLM providers and models. LiteLLM provides a unified interface through both an SDK and proxy to speed up development, centralize control, and optimize LLM-powered workflows. But introducing a proxy layer adds abstraction, making it harder to understand how requests are processed.

AI-Enabled Network Management: Revolutionize Operator Workflows with AI Agents

For today's leading service providers and large enterprises, ensuring peak performance requires navigating a labyrinth of data streams, monitoring tools, and legacy systems. This often leaves network operators spending more time searching for information than acting on it. A new AI-enabled network management is dawning, promising to upend these cumbersome workflows.

What You Actually Need to Monitor AI Systems in Production

You did it. You added the latest AI agent into your product. Shipped it. Went to sleep. Woke up to find it returning a blank string, taking five seconds longer than yesterday, or confidently outputting lies in perfect JSON. Naturally, you check your logs. You see a prompt. You see a response. And you see nothing helpful. Surprise. Prompt in and response out is not observability. It is vibes.

Can GitKraken AI Fix My Rebase Disaster?

Rebasing can be risky, but with GitKraken AI, it’s faster, smarter, and way less stressful. In this video, we walk through how GitKraken AI auto-resolves merge conflicts during a rebase, complete with confidence levels and clear explanations. Get conflict suggestions Edit AI output directly Finish rebases with confidence Now until July 11, try all GitKraken AI features FREE during AI All Access Week.

LATAM Rising: Building the AI-Ready Digital Frontier

What happens when an entire region rethinks its digital future? In this episode of Uplink, Gabriel Del Campo, VP of Data Center, Security & Cloud at Cirion Technologies, joins host Michael Reid to explore how Latin America is transforming into a global tech player. From sustainable energy and AI-optimized data centers to regional regulatory reform, LATAM is moving fast - and with intention. This episode dives into the tech trends shaping the continent and what they mean for global cloud infrastructure, investment, and connectivity.

Built to Withstand the Next Outage: How PagerDuty AIOps Keeps You Ahead

June 12 started like any other Wednesday–until the internet broke. It started with Google Cloud’s Identity and Access Management (IAM) system, but the fallout hit everything built on top of it. Widespread service degradation swept across core Google products and third-party platforms. Gmail, Docs, Meet, and Chat went dark. Cloudflare services were unavailable. Developer and AI tools faltered.

Resolve COO, Ari Stowe speaks at ONUG AI Networking Summit 2025 #itautomation #agenticai #ai #tech

Our COO Ari Stowe spoke at @onugcommunity's AI Networking Summit on how AI and Zero Ticket IT are transforming enterprise IT. From tickets to autonomous resolution—AI, automation, and intelligent agents are changing the game. Hear why AI is now essential in today’s complex IT environments.

Got AI Fear? You Shouldn't; It's Coming for Your Busywork, Not Your Job

Artificial Intelligence (AI) has rapidly become a cornerstone of modern IT operations. Yet, despite its transformative potential, many IT professionals harbor apprehensions about integrating AI into their workflows. This growing AI fear, while understandable, often stems from misconceptions and a lack of clarity about AI's role and capabilities. This discussion aims to address and debunk common fears associated with agentic AI.

Accelerating Enterprise-Grade ServiceNow Migration with Agentic AI

The automation paradox: Why are so many enterprises drowning in the very technology meant to save them? For years, enterprise leaders have chased the promise of automation. Millions have been invested in tools like Robotic Process Automation (RPA), hoping to unlock a new era of efficiency. However, what was once considered the highest level of agility has become a maze of fragmented systems.

AI Won't Be Productive By Default (And That's OK)

Remember when we thought deploying from our laptops was efficient? When FTPing files directly to production at 2 AM felt like peak productivity? We’ve been here before. As AI transforms how we write code, we’re about to learn the same lesson all over again — but this time with much bigger bills.

Instrument LangChain and LangGraph Apps with OpenTelemetry

In our previous blog, we talked about how LangChain and LangGraph help structure your agent’s behavior. But structure isn’t the same as visibility. This one’s about fixing that. Not with more logs. Not with generic dashboards. You need to see what your agent did, step by step, tool by tool, so you can understand how a simple query turned into a long, expensive run.

Getting Started with AI Agent Monitoring From Sentry

Sentry has released AI Agent monitoring, and in this video you can see the fast path to getting started with it using the Vercel AI SDK and Anthropic Claude. AI Agent Monitoring uses tracing to let you see details around how AI interactions are happening inside your application. You can see the back and forth conversation flow, token usage, model usage, durations, and much more. Agent Monitoring is out now, take it for a spin, let us know what you think in Discord!

Boost Your AI Projects with GPUs: Live Expert Insights Webinar

Are you ready to supercharge your AI initiatives? Join our live webinar on July 16, 2025, at 05:00 PM, where Kunal Kushwaha, Ben Norris, and Kendall Miller will dive into the world of GPUs and their critical role in AI. Get ready to explore the latest insights and trends in GPU technology, including: This webinar is perfect for AI enthusiasts, startup founders, and engineers looking to stay ahead of the curve.

How to Simplify AI Observability Across Hybrid and Cloud Environments

As companies adopt more artificial intelligence (AI) to stay competitive and simplify operations, they’re hitting a snag they’ve seen plenty of times before: complexity. Those user-friendly chatbots and impressive predictive models aren’t magic—they run on powerful GPUs like NVIDIA’s and rely on cloud services such as Azure OpenAI or Amazon SageMaker.

Why AI Struggles with Complex Coding Tasks and How It Excels

Discover why AI excels in some coding tasks while struggling with others. Dive into intriguing insights about AI's limitations in mobile and backend development, and see what this means for the future of coding, including firmware. Don't miss this exploration of AI's coding capabilities.
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The Agentic Network: How AI Agents Are Transforming Infrastructure from Liability to Living Intelligence

Modern enterprises depend on networks that are increasingly complex, dynamic, and opaque. Yet, instead of confronting this complexity head-on, most organizations fall into the trap of superficial control, layering more monitoring tools atop their stack in hopes of achieving resilience. In reality, this only fragments visibility, deepens operational silos, and leaves a crucial layer of the digital enterprise, the network, under-managed and misunderstood.

How AI-driven Anomaly Detection Fortifies Compliance in Multi-Cloud Infrastructures

In a multi-cloud environment, each cloud platform brings its unique tech stack to record events, manage services, set up configurations, manage user access and permissions, etc. While this allows you to leverage the best-of-breed services from different cloud vendors, the complexity of this setup makes it challenging to detect and respond to anomalies across clouds in real-time.

AI for Data Analytics: Unlocking the Power of Data Insights

According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.

How to Use AI for MySQL: Optimizing Queries and Database Management

Imagine telling your database to get the best five customers by order from six months ago, and you get a well-optimized query instantly. Zero coding. No Googling syntax. Just results. Welcome to the future of database management with MySQL AI. MySQL Artificial Intelligence is a strategic solution transforming the traditional method of managing databases.

How Agentic AI is Reengineering Advertising Revenue Operations: Workflows to Workforce

Digital advertising is experiencing a shift similar to manufacturing's industrial revolution. AI is automating routine tasks, freeing up human teams for higher-level strategic work, moving us from manual campaign management to automated systems where humans design the strategy rather than execute every detail. This represents the biggest operational change since programmatic advertising began.

AI-Powered Monitoring with Checkly

Most monitoring tools weren't built for the AI-first world. By nature, traditional monitoring platforms force you out of your natural coding environment and trap you in clunky web interfaces, brittle configuration panels, and rigid APIs. And sadly, when monitoring providers do offer "AI features," it's usually a chatbot bolted onto their existing UI, being nothing more than a pale imitation of the AI tools you’re reading about every day on Hacker News. All this creates friction.

LangChain & LangGraph: The Frameworks Powering Production AI Agents

Your AI agent worked flawlessly in development, with fast responses, clean tool use, and nothing out of place. Then it hit production. A simple "What's our pricing?" query triggered six API calls, took 8 seconds, and returned the wrong answer. No errors. No stack traces. Unlike traditional systems, AI agents don't crash, they drift. They make poor decisions quietly, and your monitoring says everything's fine.

Introducing Netdata Insights

Subscribe to the channel → / @netdata Now in research preview: Netdata Insights The problem: Incident? You're jumping between dashboards, piecing together timelines. Reporting? You're copy-pasting charts and correlating trends by hand. The data’s there, but turning it into a narrative doesn’t scale. The solution: Netdata Insights. Synthesizes high-fidelity telemetry using the latest LLMs into AI-powered reports with natural-language explanations, visuals, and clear recommendations.

Netdata: The Fastest Path to Full Stack Observability. AI Powered.

Netdata is a real-time, high-performance and on-premises observability platform designed to monitor metrics and logs with unparalleled efficiency. Netdata requires zero-configuration to get started, and provides alerts, anomaly detection and AI assisted troubleshooting out of the box, providing a powerful and comprehensive infrastructure monitoring experience. Netdata is known for its distributed design. Instead of funneling all data into a few central databases like most traditional monitoring solutions, Netdata processes data at the edge, keeping it close to the source.

How we built agentic incident response

‍ AI already transforms how we detect, respond to, and resolve outages. Traditional workflows often force responders to switch between dashboards, shift through logs, and coordinate across fragmented channels under stress. This reactive, manual approach leads to slower resolution, higher operational costs, and burnout, especially as IT systems grow more complex. ‍ At ilert, we are not just discussing the future of incident management – we are actively building it.

Is AI About to Create Its Own Language? Here's What You Need to Know!

This panel brings together experts Josh Mesout (Civo), Nobel Chowdary Mandepudi (Arm), Jimil Patel (Intuit), Numa Dhamani (iVerify), and James Gress (Accenture) to discuss the cutting edge of AI and machine learning. They explore when AI might develop its own language beyond human syntax, the evolving landscape of ML frameworks such as MLIR, Mojo, and JAX, and the challenges involved in bridging the gap from AI research to production while optimizing models for deployment.

MCP Server Integration & Much More: What's New in VictoriaMetrics Cloud Q2 2025

Q2 2025 has brought another wave of improvements to VictoriaMetrics Cloud! If you tuned in to our latest Quarterly Virtual Meetup, you saw firsthand how we’re making observability even more accessible, powerful, and interactive.

MCP Observability with OpenTelemetry

2025 has truly been the year of Agentic AI, with MCP (Model Context Protocol) emerging as one of its flashy and most talked-about innovations. While many products have seamlessly integrated MCP servers into their systems, these servers are increasingly being labelled as black boxes, opaque components that handle critical tasks but offer little visibility into what's happening under the hood. We prompt an agent, a tool gets invoked, and a response is generated. But what really happens in between?

Coralogix launches OpenAPI endpoints

Observability is about much more than dashboards and alerts. Extensible platforms that integrate into the user’s tech stack are fundamental parts of a great developer experience. This is why Coralogix has supported gRPC APIs for account management, data ingress & query, alert definition, dashboard creation, permissions management and more. Today, Coralogix adds a new integration, with the launch of OpenAPI endpoints for all existing functionality.

Streamlining Video Workflows: How Adobe's AI Tools Are Changing the Game

The growing demand for faster, smarter video production has prompted tech giants to invest heavily in AI tools. Adobe is among the latest to roll out significant updates aimed at simplifying the creative process for video editors. The company's new AI video generator, built into its flagship editing platform Premiere Pro, is designed to reduce tedious tasks like minor video extensions and audio adjustments - all with just a few clicks.

Perform Distributed Tracing for your MCP system with OpenTelemetry

2025 has truly been the year of Agentic AI, with MCP (Model Context Protocol) emerging as one of its flashy and most talked-about innovations. While many products have seamlessly integrated MCP servers into their systems, these servers are increasingly being labelled as black boxes, opaque components that handle critical tasks but offer little visibility into what’s happening under the hood. We prompt an agent, a tool gets invoked, and a response is generated. But what really happens in between? And when something breaks, how do we trace the failure and debug it effectively?

Elephant Flows: The Hidden Heavyweights of AI Data Center Networks

Elephant flows are no longer rare. They’re foundational to AI workloads. In today’s GPU-heavy data centers, long-lived, high-volume flows can distort ECMP, overflow buffers, and rack up unexpected cloud bills. Kentik helps you see and tame these elephants with real-time flow analytics, automated alerting, and predictive capacity planning.

Can Claude Code Observe Its Own Code?

One of the great things about OpenTelemetry is that it’s a standard, and standards tend to proliferate. I was excited to see Claude Code add OpenTelemetry metric and log support in a recent release. What was really interesting—beyond the ability to capture usage data from Claude Code—is that you can also get pretty detailed logs about what you’re doing with Claude Code.

Making AI scalable with database change management and Redgate Flyway

With the rise of AI and machine learning comes data. Lots of it. For organizations today, AI is radically changing the way data is accessed, maintained and operationalized. For heads of architecture and development teams, it offers opportunity and responsibility.