Operations | Monitoring | ITSM | DevOps | Cloud

Set up Splunk AI Assistant for SPL in Enterprise environments with Cloud Connected Integration

Unlock the power of the Splunk AI Assistant for SPL in your enterprise environment! In this quick tutorial, we'll walk you through the entire process, from downloading the app on Splunkbase, accepting the license agreement, and installing it in your environment, to completing the cloud-connected configuration which now allows you to use the AI Assistant in even more environments!

The Journey to Zero Ticket IT with Agentic Automation

See how RITA, Resolve’s intelligent AI agent, instantly resolves IT issues before they become tickets. In this live demo, you'll get a front-row seat to how RITA automates routine service desk requests, helps technicians troubleshoot faster, and brings the Zero Ticket IT vision to life. Hosted by Ian Coppock and demoed by Derek Pascarella, this is automation in action.

95% of AI Pilots Fail - Here's How to Be the 5%

When MIT released research showing that 95% of enterprise AI pilots fail to deliver measurable business impact, it made headlines for a reason. After years of heavy investment in artificial intelligence, the vast majority of organizations still haven’t moved beyond pilots that promise much but deliver little. This doesn’t mean AI itself is broken. In most cases, the technology performs as intended.

DeepSeek Pricing: Models, How It Works, And Saving Tips

Some teams won’t touch DeepSeek because it’s Chinese. Others are quietly running pilots and rethinking how much reasoning and context they actually need, or can afford. For SaaS teams staring down runaway AI costs, DeepSeek’s mix of open-source freedom, massive context windows, and token rates 10–30X cheaper than OpenAI or Anthropic is tough to ignore. However, DeepSeek pricing comes with cache hits, cache misses, off-peak discounts, that September pricing shift, and more.

(ServiceNow + Kentik) From Reactive to Proactive: The Rise of Agentic Networks

Agentic AI is not just hype—it’s a force multiplier that enables infrastructure and operations teams to do more, with less effort, in less time. Importantly, it helps IT teams compress time to resolution and even proactively detect and respond to issues, before they escalate.

AI Is Reshaping SEO and UX-Here's How to Stay Ahead

AI isn't just changing how we write content. It's changing how that content gets found, read, and used. For teams managing digital operations, it's no longer enough to optimize for algorithms in a traditional sense. Today, your site has to serve both search engines and AI models. That means rethinking everything from content structure to user experience design. At Composite Global, we work with growth-stage startups and enterprise brands navigating this shift in real time. Here's what we're seeing and how you can adapt.

The Technology Driving Fractional and Frictionless Property Investment

Real estate has long been viewed as a cornerstone of wealth creation; however, traditional investment methods often come with hurdles such as high capital requirements and market inaccessibility. Technological advancements are revolutionizing how individuals invest in property, offering innovative solutions that democratize access to real estate assets. This shift empowers more investors and reshapes the nature of property ownership and investment strategies.

How to get fast, easy insights with the Gremlin MCP Server

Chaos Engineering and reliability testing give you visibility into the actual reliability of your services by simulating real-world failure conditions. But what if you could dig into the testing and results data using AI to quickly uncover new insights? That’s the logic behind the Gremlin MCP Server. Released as part of Reliability Intelligence, the Gremlin MCP Server allows you to bring your LLM of choice to explore your Gremlin data and find opportunities to get more out of Gremlin.

FinOps For Claude: Your Strategy For Managing Claude API And Anthropic Costs At Scale

Anthropic’s Claude is one of the most powerful and developer-friendly large language models (LLMs) available. But as usage grows, so does cost. Here’s the reality: A single unoptimized development loop or unmonitored QA job can multiply costs 10x overnight. Most teams experimenting with Claude lack the visibility and guardrails needed to prevent runaway costs, especially once usage moves from R&D into production.

The core KPIs of LLM performance (and how to track them)

A few months ago, I built an MCP server for Toronto’s Open Data portal so an agent could fetch datasets relevant to a user’s question. I threw the first version together, skimmed the code, and everything looked fine. Then I asked Claude: “What are all the traffic-related data sources for the city of Toronto?” The tool call fired. I got relevant results. And then I hit an error: “Conversation is too long, please start a new conversation.” I had only asked one question.

Scientific Laboratory Supplies: The Impact of Technological Evolution in R&D

Technological revolution has impacted numerous sectors. Its impact on Research and Development is especially transformative. Intelligent laboratories are a pioneer in integrating state-of-the-art technologies. Intelligent laboratories are reshaping Research and Development processes, enhancing automation, precision, and traceability. This piece of content explores how technological evolution is transforming Research and Development at modern labs and the wide implications for the scientific laboratory supplies.

AI That Knows Networking: Selector vs. Generic GPT Integrations

The hype around generative AI has led many IT teams to experiment with plugging generic GPT models into their workflows. On paper, this is the beginning of true AI networking, featuring conversational interfaces, instant summaries, and faster troubleshooting. However, as we discussed in the previous post, “Why Your IT Copilot Needs Context, Not Just Data,” copilots are only as effective as the intelligence behind them.

Introducing AppJet.ai : a GitHub-native AI that codes full-stack from prompt to deploy

If you ever tried any vibe-coding tool on the market you know they are mostly supercharged NodeJS code editor, full of pre-made components and often unable to really understand your existing code base. We created AppJet for a simple reason: AI is now at a maturity point where it can realistic to use it as a real coding companion.

Full-Circle Observability: Using SigNoz to monitor a LangChain agent that queries SigNoz MCP

In Part 1 of this series, we explored how to instrument a LangChain trip planner agent with OpenTelemetry and send telemetry data to SigNoz. By tracing each step of the planning process: LLM reasoning, tool calls for flights, hotels, weather, and activities, and the final itinerary response, we saw how observability turns a black-box agent workflow into a transparent, debuggable system.

LangChain Observability: How to Monitor LLM Apps with OpenTelemetry (With Demo App)

LangChain has become one of the most popular frameworks for building LLM-powered applications, making it easier to create agents that can reason, plan, and take actions. But like any production-grade AI app, LangChain agents can run into performance bottlenecks, hallucinations, or tool call failures. And without proper LangChain observability, it’s hard to know where things break down.

Alloy Navigator Walkthrough: Service Desk Customer Perspective

See Alloy Navigator through your end users’ eyes—whether internal employees or external customers. This quick walkthrough shows how effortless it is to report issues, request IT services, and find answers. Intuitive, multilingual, easy-to-brand interface, so users see it as part of your corporate site Effortless ticket creation and tracking Email and push notifications Build-in knowledge base Role-specific service catalogs Convenient equipment reservations Announcements and one-click approvals Mobile app for end users Smart AI assistant (coming soon)

Claude Pricing: A 2025 Guide To Anthropic AI Costs

When OpenAI surged into the spotlight with ChatGPT, not everyone inside the company agreed on the path forward. In 2021, a group of senior researchers broke away. They had concerns about safety, transparency, and the direction of AI development. They went on to found Anthropic. And their answer to ChatGPT was Claude. Anthropic’s mission is for openness now. Yet, Claude’s pricing can feel as mysterious as the model weights behind the scenes.

We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.

Imaginary Cities: Design Skylines That Could Never Exist with AI

Now imagine a skyline that twists like liquid metal, a series of towers that spiral upward as if growing like vines rather than made of steel, and glowing bridges that wrap around moons rather than rivers. These are the cities that live at the edges of dreams, places that we will never visit, but ones we can picture with insistent clarity.

Design Concept: User-Created AI Agents with External Tool Support

Here's an early look at user-created AI agents with external tool support in Mattermost — designed to integrate AI into daily workflows while maintaining governance and security. We’d love your feedback on this design. Contact the Fast Futures team at fastfutures@mattermost.com.

Zia LLM for ServiceDesk Plus Cloud, transitions in workflows, and more!

We’re rolling out some interesting AI innovations and workflow enhancements in the cloud version of ServiceDesk Plus. You can now use the native Zia LLM hosted in our own data centers as a GenAI provider (in addition to ChatGPT and AzureOpen AI), track AI adoption with the new Zia dashboard, and enable user transitions within workflows. Meanwhile, the on-premises version supports seamless user import from Microsoft Entra ID. Watch the video as our product experts walk you through each of these updates in detail.

AI in EdTech: How Artificial Intelligence Is Shaping the Future of Learning

Nowadays, almost everyone is talking about artificial intelligence because it's everywhere: on your phone, in social media, streaming services, search results, and more. However, one of the most underrated spheres AI is revolutionizing right now is education. The process of learning allows people to gain knowledge and develop new skills. Students and children, as well as adults who pursue additional education alongside their existing learning are participants of a very big and important knowledge gaining industry.

Top 6 Duty Drawback Automation Services Streamlining Global Trade

Your business could recover millions in lost revenue through duty drawback automation services. Every year, companies pay over USD 100 billion in import duties, but only a small fraction gets refunded. Nearly USD 50 billion remains eligible yet unclaimed. These solutions offer an enormous opportunity for businesses involved in global trade to reclaim what's rightfully theirs.

Code Generation for Complex SDKs: When and How to Use It

If you have worked with modern SDKs in any real project, you already know they make development easier and harder at the same time. They offer tools that save time, but once an SDK gets large, it can turn into a maze of methods, object types, and setup steps. Some cloud SDKs are so big that writing integration code by hand starts to feel like repeating the same patterns over and over. That is where code generation becomes useful. It reduces the amount of manual glue code and cuts down the chances of making small mistakes that later take hours to debug.

You Can't Keep Hiring-It's Time to Rethink Operations With AI

Operations has always been a headcount game. More systems mean more people, with human judgment as the irreplaceable element at the end of every alert chain. This fundamental relationship between complexity and operators has defined how we’ve built and run operations infrastructure for decades. But modern product velocity and complexity outpace any organization’s ability to hire and train operators.

Top AI Prompts for Engineering Leaders using the Cortex MCP

AI assistants have transformed how developers work. And now coupled with the Cortex MCP that connects AI assistants directly to live service data, ownership records, and organizational standards, developers can get accurate, context-rich answers about their services and standards right in their IDE. → Tips and prompts for developers using the Cortex MCP But what about engineering leaders?! Your opportunities with AI assistants extend far beyond code generation.

Why Your IT Copilot Needs Context, Not Just Data

In the rush to adopt AI in IT operations, many organizations focus on feeding copilots as much data as possible. But here’s the problem: data without context is just noise. An IT copilot that can’t distinguish what matters from what doesn’t won’t reduce alert fatigue or accelerate troubleshooting.

Japanese to English Translation: How AI-Powered Meeting Assistants Transform Global Communication

Language barriers cost global businesses approximately $62 billion annually in missed opportunities and miscommunication. Japanese represents one of the most challenging translation pairs for English speakers due to its complex writing systems, cultural context requirements, and unique grammatical structure. Thebest Japanese to English translation, like JotMe.io technology, has reached a critical turning point where artificial intelligence delivers near-human accuracy in real-time communication.

AI Translation in Seconds #ai #translate

Break language barriers inside your Service Desk! AI instantly translates your messages or descriptions, making it simple to stay connected with your teammates and users. In this video, we used gpt-4o for completion and translation. Perfect for global IT support teams, help desks, and service desks who need fast, reliable communication without the language gap. AI translation and other AI-powered writing assistance arrived in the Fall 2024 release of Alloy Navigator, available in both Enterprise and Express editions.#AlloyNavigator.

The Smartest Member of Your Developer Ecosystem: Introducing the Mezmo MCP Server

Building a great developer experience is about more than just the code. It’s about creating a unified ecosystem where your tools work together seamlessly. That’s been the vision behind our work on the Mezmo MCP Server, and I’m excited to share it with you. At its core, the MCP Server is a universal remote for your data pipeline.

Understanding Generative AI and Agentic AI: A Comparative Guide

Have you ever thought why some AIs create the content and some spontaneously decide on their own? Generative AI and agentic AI are common in an AI landscape. So how are they different? In this article, the definitions will be made clear, as well as how they work, in addition to how they define our daily lives.

You've Started With AI. But Now You're Stuck.

Businesses across industries have fully embraced AI, looking to 10x productivity and supercharge profits. Most companies—78%, according to McKinsey—use AI in at least one business function. But a recent survey by IBM found that only 1 in 4 AI pilots brought about the ROI leadership expected. Even fewer (16%) had been scaled across organizations. The gap is real. Many AI efforts remain stuck in pilot mode or isolated at the edges of businesses.

Grafana Cloud updates: onboard teams with new AI-powered tooling, secrets management for enhanced security, and more

We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed them, here’s our monthly round-up of the latest and greatest Grafana Cloud updates. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

How our engineers use AI for coding (and where they refuse to)

Okay, picture this: if you drew a Venn diagram of folks in tech right now, it'd probably look something like this: You'll probably find yourself in one of those circles, right? I’m guilty of falling in the intersection! Because let's be real, the 'will AI replace developers by 20xx?' debate is everywhere – Reddit, Hacker News, team Slack and even your local cafe. Well, we decided to go straight to the source.

Best of both worlds: relaxAI API brings sovereignty and affordability to OpenAI

The UK’s Competition and Markets Authority (CMA) recently published its final verdict on the state of the cloud industry. While the tone may have softened since its initial findings, the conclusion was still damning: hyperscalers like AWS and Microsoft continue to unfairly dominate the cloud market through opaque, inflated pricing and technical lock-in strategies.

The Top AI Models And Trends Shaping SaaS in 2025

Two years ago, a “state-of-the-art” AI model could write decent copy or summarize a meeting transcript. Today, the top AI models can generate working code, analyze video in real time, and reason through complex scenarios. For SaaS teams, these changes represent a strategic crossroads. Choose the right model and you unlock new revenue streams, slash time-to-market, and wow your users.

From SEO to AEO: Why Web Performance Is the Key to AI Search Success

Search isn’t what it used to be. The way people discover information online is shifting. Instead of clicking through search results, many now ask AI answer engines like ChatGPT and Perplexity to do the research for them. In March 2025, 13.1% of Google desktop searches featured AI Overviews— doubling from over 6% in January, according to Semrush analysis of 10+ million queries.

AI-Driven Application Monitoring with Checkly and Claude Code

In this webinar, Stefan Judis (Developer Relations at Checkly) and Dan Giordano (VP of Marketing at Checkly) dive into how LLMs and AI tools can be used with application monitoring. You’ll see a live demos of integrating Claude Code, Playwright MCP, and Checkly’s Monitoring as Code. ⸻ Timestamps ⸻ Resources & Next Steps ⸻ Subscribe for more sessions on application reliability, testing, and AI-powered DevOps!

How to use AI tools more effectively: Tips from Datadog Engineers

A growing number of engineering organizations have adopted or are trialing agentic AI-based coding tools and LLMs in an effort to increase their teams’ development velocity. If you’re a developer, this means you’ve likely had to try out different agentic tools and models and determine how to best incorporate them into your existing workflows.

How to monitor Claude usage and costs: introducing the Anthropic integration for Grafana Cloud

Generative AI is becoming a core part of modern applications, making it essential to monitor and manage how these services are used. That’s why, today, we’re excited to introduce the Anthropic integration for Grafana Cloud, a new solution that lets you connect directly to the Anthropic Usage and Cost API from within Grafana Cloud.

Stop Asking What AI Costs, Ask If It Is Worth It

AI is surging into products. And the invoices are exploding with it. The key question is no longer, “How much did we spend?” It’s now: “Was it worth it?” That shift, from totals to value, is at the heart of FinOps. The FinOps community defines the practice as bringing financial accountability to the cloud, so teams make tradeoffs with clear business context. In plain English, measure value per dollar, then optimize the system and not just the bill.

How to Spot More Threats in Less Time Using AI

Can AI really help security teams build better threat models? Microsoft's Senior Gaming Security Architect, Audrey Long breaks down the strengths and limits of AI in threat modeling, shows how she uses Azure OpenAI for attack tree automation, and reveals why human review still matters. Includes practical examples and live demos. Git Blog: gitkraken.com/blog.

Honeycomb Launches Integration With the Anthropic Usage and Cost API

If your organization is anything like ours, then you’ve probably embraced using large language models like Claude. Just last week, we gave all Honeycomb employees access to Claude. Now, developers can generate AI-assisted code, product managers can perform analysis on customer usage trends, marketers can test messaging, sales can do customer discovery and we are shipping AI-powered features to improve user experience.

It's Time to Connect Your Islands of Automation With AI Agents

Automation has transformed incident response within individual teams. Diagnostic scripts, runbooks, and alert systems help engineers troubleshoot and resolve issues more efficiently. Translating those gains across the organization remains a challenge. Most automations are built in silos and not designed to work together. The result: disconnected workflows, inconsistent outcomes, and too much manual effort, leaving teams with less time for the strategic work that drives innovation and resilience.

Monitor Claude usage and cost data with Datadog Cloud Cost Management

Managing the cost of foundation models is a critical challenge as AI adoption surges, particularly for teams using powerful models like Anthropic's Claude Opus and Claude Sonnet. Growing teams generate larger prompt volumes and escalating model complexity, making it difficult to have clear visibility, accountability, and control of cloud AI spending.

Vidnoz: The Free AI Video Generator That Brings Your Ideas to Life

In today's digital world, video isn't just an option-it's a necessity. Whether you're a marketer, content creator, educator, or hobbyist, videos are one of the most effective ways to grab attention and share ideas. But professional video production can be expensive, time-consuming, and often requires technical skills that many people don't have.

Latency You Can't See: How Generative AI Can Put the Brakes on Your Solution Pipeline

Everything on the dashboard is just like in the ad: SLAs are glowing green, and the bot responds to customers faster than they can blink - in 0.3 seconds. And yet... the release has been stuck in "approval" for two months. Code? Reliable. Tests? All green. Errors? None worth mentioning. And yet the ticket is stuck somewhere in that awkward gap between "confirmed" and "wait, who signs off on this anyway?"

AI Cost Optimization At Scale: How One CloudZero Customer Manages Spend Across 50+ LLMs

AI adoption isn’t just accelerating, it’s compounding. From GPT-5 to Claude to Llama and beyond, engineering teams are integrating diverse LLMs across products, experiments, and services. And finance teams are now grappling with a new kind of cloud complexity: token-based economics and volatile inference costs, often spread across multi-model, multi-cloud, and multi-region architectures. The modern FinOps stack needs to keep up. CloudZero was built for this moment.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

Tips and prompts for developers using the Cortex MCP

AI coding assistants are already transforming how developers work, helping them write code faster, answer tough questions, and automate repetitive tasks. It’s exciting, it’s powerful… and it’s just the beginning. Cortex MCP connects your AI assistant directly to your live service data, ownership, and organizational standards so it can give accurate, context-rich answers right in your IDE.

ilert AI Voice Agent: Deep dive

‍ The ilert AI Voice Agent is designed to transform how on-call engineers handle urgent calls. Instead of waking engineers at 3 a.m. with minimal context, the AI Voice Agent collects essential details first and routes calls intelligently based on relevant, up-to-date information. ‍ The agent works hand in hand with ilert’s Call Flow Builder – a visual tool that lets users design custom call flows by connecting configurable nodes.

Real-World Use Cases for Natural Language Copilots

Natural language copilots are one of the most exciting developments in AI for network operations. They allow engineers and operators to query complex environments in plain language rather than memorizing obscure CLI commands or digging through multiple dashboards. But here’s the truth: a copilot is only as good as the AI behind it. Without a purpose-built network LLM, a copilot can’t deliver the accuracy, context, and speed that real-world IT operations demand.

Is My Paper Human? The Top 6 AI Checkers for Students to Verify Their Work

AI detectors are everywhere in classrooms and submission portals. Students need clear, practical guidance that explains strengths and limitations. Use this guide to pick a checker and interpret results responsibly. You will learn how these systems work at a high level. You will also see a realistic look at accuracy, false positives, and appeals. Each tool section ends with a quick verdict for fast decisions.

How Thundr Uses AI to Create High Quality 1-on-1 Chats

People desire honest, interesting, and personal communication in today's fast-paced digital world. Most of the time, traditional online chat services fail to provide users with the depth and connections they desire. Thundr is different from other companies in that it utilizes cutting-edge AI to enhance discussions for both parties. The program makes every connection more engaging than a random chat service by placing a strong emphasis on personalization and user safety. Integrating these features on the platform enables this improvement.

What is an AI Agent? Understanding the Future of Intelligent Automation

In today's fast-paced digital world, the term AI agent is becoming increasingly common - but what does it really mean? Whether you're a tech enthusiast, a business owner, or just curious about artificial intelligence, understanding AI agents can help you stay ahead of the curve.

You built the MCP server. Now track every client, tool, and request with Sentry.

TL;DR - Starting today, you can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation. Click to Copy Click to Copy With this in place, you’ll be able to see details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation.

Sentry MCP server monitoring

We just launched MCP server monitoring in beta. You can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation using: wrapMcpServerWithSentry(McpServer) See details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation so you you can get visibility into all the sharp edges that your MCP server has — who’s using it, how it’s working (or not), and get alerted when things break.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

AI in observability at Grafana Labs: Making observability easy and accessible for everyone

Did you know that observability has been around for more than six decades? It all goes back to a Hungarian-American inventor named Rudolf Kálmán who thought about how external outputs could measure the internal state of a machine. Kálmán wrote about monitoring single-input single-output systems, but our demands are very different today. We need to observe monoliths, microservices, clusters, pods, regions, and many more.

AI for Grafana onboarding: Get your teams started quicker with Grafana Assistant

Grafana puts a powerful set of observability capabilities right at your fingertips, but onboarding entire teams to the sophisticated platform is often a nontrivial exercise—one that can slow adoption and prevent organizations from getting immediate value. We want to make the process as frictionless as possible, which is why we’re excited to tell you that Grafana Assistant is now available in public preview to all Grafana Cloud users.

Using Claude to power up your onboarding

I joined incident.io about ten weeks ago, having been in my previous role for four and a half years. Being a new starter was an unusual feeling for me, and there's been a huge amount to learn; but by lunch on my second day (!) I had started shipping value to our customers. A large part of hitting the ground running has been having a colleague alongside me, who I can pester with questions, who doesn’t get offended when I write in all capitals, and often praises me for being absolutely right!

Inside the Coralogix AI Center: Solving AI's Silent Failure Crisis

Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.

What Is an MCP Server?

Ok MCP server, If you’ve been following AI development lately, you’ve probably heard whispers about “MCP Servers” floating around developer circles. It’s been around a little while now, and I myself have finally gotten round to using it. Boy, do we need to talk about it. MCP (Model Context Protocol) is Anthropic’s open standard that lets AI assistants connect directly to your tools and data sources, not just static documentation or code snippets.

Getting Started with Grafana Cloud's AI Assistant for Observability

The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.

The PagerDuty Vision for AI-First Operations

Something fundamental needs to change in the way we run operations. Organizations are deploying AI to optimize everything from coding and deployment to resource planning and incident management. But they’re discovering that managing AI-powered systems requires a completely different operational mindset. AI models hallucinate. Data pipelines degrade silently. Algorithms develop bias without warning.

AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

Mobile devices are becoming smarter with every tap. Thanks to AI and AIOps, Android apps can now predict what users need, fix issues before they even notice them, and create seamless, personalized experiences. This isn't a distant tech dream but something that's happening right now, transforming the way companies design and deliver mobile services. From streamlining performance to enhancing customer engagement, AI is quietly rewriting the rules of mobile interaction.

Pulseway's New AI-Powered Workflows: The Next Evolution in IT Automation

Efficiency has never been so vital for IT departments and MSPs—it’s a necessity. Endpoints need constant patching, security threats evolve daily, and service requests never stop coming. For many IT teams, the biggest challenge isn’t solving complex problems—it’s finding the time to do it all. That’s why Pulseway’s new AI-powered workflow generator is a breakthrough for IT operations.

LLM-powered insights into your tracing data: introducing MCP support in Grafana Cloud Traces

Distributed tracing data is a unique and powerful observability signal, allowing you to understand how your services interact and the relationships between them. Sometimes it can be difficult, however, to turn raw tracing data into actionable insights. This is exactly why we introduced Grafana Traces Drilldown, an application that lets you quickly investigate and visualize your tracing data through a simplified, queryless experience.

7 Essential Tools for a Faster, More Accurate Record-to-Report Process

The record-to-report (R2R) process is the backbone of financial reporting, turning day-to-day transaction data into accurate financial statements. For finance managers, CFOs, and accountants, a faster and more accurate R2R process means timely insights, fewer errors, and confident decision-making. Yet traditional R2R cycles can be slow and prone to manual errors. In this article, we'll explore the tools for record to report process optimization - from automation platforms to analytics solutions - that can streamline workflows and boost accuracy.

RITA: The Chatbot Alternative That Doesn't Waste Your Time

After years of overhyped pilots and half-baked “AI” assistants, IT leaders are increasingly skeptical of chatbot vendors pitching the same old logic trees that are disguised by prettier interfaces. These leaders don’t want another script engine in Slack; they want fewer tickets, faster resolution, and better employee experiences. That’s where RITA comes in. RITA isn’t just a chatbot alternative.

What Is Semantic Intent? Interpreting User Intent in AI Search [Quick Question Ep. 4]

What is semantic intent, and why is it crucial in the age of *AI search?* In this episode of Quick Question, we break down how semantic *intent interprets* the meaning behind your query in semantic search. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Discover Agentic AI in Resolve: RITA, Jarvis & the Future of IT Automation

Unlock the next generation of IT automation with Resolve’s groundbreaking agentic AI features. In this video, we introduce powerful new capabilities designed to help IT teams accelerate resolutions, streamline workflow creation, and bring control to enterprise AI strategies within the Resolve platform.

Grafana Tempo: Performance Moonshots & MCP Server (Community Call August 2025)

We'll have Marty talking about Grafana Tempo Performance Moonshots and Joe will update us with what's new with the MCP Server! Have questions? Please bring them! Can't comment in the chat? You may need to create a channel. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more.

What is Shadow AI & What Can You do About It?

Artificial intelligence (AI) is now embedded in everyday professional workflows — so much so that 46% of employees say they would continue using AI tools even if their organization banned them. The productivity gains are undeniable, but this widespread, unmonitored use of AI also introduces growing risks around data security, compliance, and governance.

Why Visibility Is the #1 IT Priority in 2025: Tackling Shadow AI and Emerging Risks

AI adoption is progressing at a rapid pace. What started as a trickle of generative tools is now a flood of autonomous agents, custom copilots, and AI-powered SaaS, most of it entering the workplace faster than IT can keep track of.

Learning English with AI: A Productivity Booster for Global Operations Teams

Global infrastructure runs on YAML, shells, dashboards, and, whether we like it or not, English. Every runbook, vendor knowledge-base article, and incident bridge seems to flow through that single linguistic channel. When words fail, so does uptime. The irony is obvious: modern operations can orchestrate fleets of containers across continents, yet a simple misinterpreted phrase can freeze the entire pipeline.

Introducing FlexCore AI: Your Sovereign Private Cloud for AI Workloads

Since launching Civo AI, we have been working on creating a secure, scalable, and easy-to-manage private AI solution. We are excited to announce that we have officially launched FlexCore AI Private Cloud, a sovereign AI cloud solution designed for businesses demanding data sovereignty without sacrificing innovation. Deploy your AI-ready private cloud by contacting our team today >

A CISO's guide to Application Security best practices

When most people think about the most important ingredients of software, Application Security (AppSec) is unlikely to be at the top of the list… but it should be. Without AppSec, you face severe risks of data breaches, massive fines, enraged users, and severe financial losses.

Introducing Logz.io Open 360 AI: The Next Generation of Observability Is Here

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.

How Streaming, AI, and Network Demand Are Reshaping Rural Middle Mile Networks

Rural America is experiencing a dramatic surge in network demand driven by high-bandwidth applications like 4K video streaming, real-time sports content, and AI workloads. As broadband competition and digital transformation accelerate, service providers must rethink middle-mile network architecture to be scalable, technology-agnostic, and service-aware.

AI Transition and China Sanctions Cloud AMD's Strong Quarterly Growth

AMD has always stood out from the general list of technology companies, especially when it has established its position in the market, and this is confirmed by the non-standard schedule for publishing quarterly reports. Unfortunately, such a unique phenomenon periodically works against the company, as this time, when analysts formed inflated expectations that even record revenue figures could not fully meet. Because of this, investors were disappointed, and stocks reacted with a decline, which, fortunately, did not impact the Dow Jones index or Dow Jones futures.

Should You Ask AI to Code? Let's Talk About Vibe Coding

The tech world is talking about a new way to develop software. With this new approach, you can simply ask AI to write code for you. This is called vibe coding, and it aims to make programming more accessible to everyone by letting people build applications using natural language commands. But recent problems with major AI tools from Google and Replit have shown major problems, and people are now wondering if vibe coding is even viable at all?

GPT-OOS: A Secure Step Forward, But Not a Free Pass

The release of OpenAI’s new open-source model, GPT-OOS, has sparked a wave of excitement across the AI community. And rightly so. For organizations that want the benefits of generative AI without sending data out to the web, this is a compelling option. Running locally, GPT-OOS offers a level of privacy, control, and cost-efficiency that’s hard to ignore. It’s fast, lean and at least in its early benchmarks, surprisingly capable in coding, math, and STEM-heavy workloads.

Businesses Build Momentum with AI and Sales Optimism Despite Partnership Challenges

In the rapidly evolving landscape of modern business, organizations are increasingly leveraging artificial intelligence (AI) to enhance their operational strategies and drive sales growth. Despite facing hurdles in partnership collaborations, businesses remain optimistic about their capacity to navigate and capitalize on technological advancements. This article explores the current trends in AI implementation, sales forecasts, and the challenges that partnerships present in the dynamic world of business.

The CX Leader's Playbook to Reviving Automated IVR with Agentic AI

Customer service automation has come a long way from basic phone menus to highly interactive tools. Despite these advancements, traditional automated Interactive Voice Response (IVR) system implementations and basic chatbots still leave users frustrated due to their rigid workflows, lack of context awareness, and weak language comprehension. This often results in dropped calls, costly escalations to human agents, and a decline in customer trust.

How To Run Monthly Cloud Cost Meetings For AI Teams

If you’ve ever stared at your cloud bill and thought, “How on earth did this get so crazy?” — you’re not alone. Especially when AI workloads come into play, those GPU costs can feel like a runaway train. The good news? It doesn’t have to be that way. The magic happens when you’ve got someone from every team that cares about smart growth (FinOps, AI/ML, product, engineering, whatever) all in one room, looking at the same set of numbers.

AI-driven alert triage and root cause analysis (RCA) that proactively responds to production alerts

Watch AI transform alert management in real-time. This technical demonstration compares manual alert investigation with AI alert investigation. It shows how AI agents automatically investigate production alerts, correlate telemetry across distributed systems, and identify root cause, faster and with more insights than manual processes. Watch and learn how to shift your team from reactive firefighting to proactive system reliability management with agentic AI.

A Guide to Agentic Orchestration

A lot of IT organizations (I daresay most IT organizations) aren’t short on bots; they’re short on direction. You've got GenAI copilots here, virtual assistants there, and workflow bots running in many different tools. Maybe one automates diagnostics while another resets passwords. But none of them talk. None of them collaborate. None of them understand what the others are doing. That’s not automation; that’s entropy.

GitKraken Desktop 11.3: AI-Powered Commit Cleanup Without the Chaos

TL;DR GitKraken’s new Commit Composer is the smartest way to turn messy commit history into clean, structured stories, no command-line gymnastics required. This AI-powered tool rewrites your commit sequence with intent and clarity, saving you time and reducing review headaches. Oh, and it makes you look like a Git legend Ready to see it in action? Check out the Youtube Tutorial below.

The Impending SaaS Crisis: How AI Is Disrupting SaaS - And How You Can Prepare

At CloudZero’s most recent company retreat, we held an investor panel, where representatives from four of the VC firms investing in CloudZero fielded questions from our team. Unsurprisingly, a good deal of the conversation revolved around AI. A standout moment from this panel came when one investor described a vibe coding session he’d done about a month prior. “Vibe coding,” for the uninitiated, means using AI to build an application without writing any actual code yourself.

Weaponized AI vs. AI Driven Security Posture Management: Why the Battle Starts in Misconfigurations

August 5, 2025, Las Vegas Black Hat 2025, Abnormal AI officially launched its Security Posture Management for Microsoft 365. This release marks a critical turning point. In an era where attackers weaponized AI to uncover and exploit misconfigured cloud environments at machine speed, reactive security simply can’t keep pace. Threat actors are now leveraging automated AI to scan systems, identify configuration drift, escalate privileges, and deploy zero‑day exploits in seconds.

AI Replay Summaries in Sentry Arrive!

Replays in Sentry are awesome. With one property in your Sentry config you can start capturing video-like replays of user interactions with your application, but the problem is... you still have to watch them... but not anymore! AI replay summaries take your replays and run the events through an LLM to summarize the events that happened in them. They are broken up into chapters, with the breadcrumb sequences embedded in, so you can quickly get context of whats happening in every replay.

Manual vs. AI-Driven Alert Triage and RCA: Who Will Win?

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.

How AI Receptionists Help Solo Dentists Stay One Step Ahead

Running a solo dental practice isn't just about fillings and fluoride. You're not only the clinician but also the admin team, the scheduler, the marketing department, and sometimes, the IT support. When the waiting room's quiet, you're chasing follow-ups. When it's busy, you're mentally juggling which voicemail needs a callback first. It's no surprise that many solo dentists feel like they're one missed call away from burnout.
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AI realism (part one)

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case on the reality of AI, and how we can respond to it. This is part one; part two next week. We seem to be struggling to have pragmatic discussions about advancements in Artificial Intelligence. It's hard to hear calmer voices over the detractors and breathless enthusiasts. Today, I want to make a reasoned, evidence-based case for the potential of this technology, glance at present and future applications, and offer some practical examples for implementing AI within an organization.

AI in IT: Great! Now What the Hell Do You Do with It?

The demand for organizations to minimize downtime, swiftly address issues, and proactively manage the infrastructure has never been greater. But how can teams be expected to meet that challenge with legacy tools and approaches? Enter Zero Ticket IT, a transformative approach where AI-driven automation eliminates traditional ticket bottlenecks, empowering IT teams to focus on innovation and strategy. But how do you know if your team is truly ready for this transformative leap?

Leaning into AI, ML, and observability to manage your ever-growing infrastructure

The complexity and scale of modern infrastructure requires an equally intelligent set of observability tools to effectively monitor it. Remember when scaling meant ordering new servers and racking them in a data center? Remember when cloud providers first offered access to seemingly infinite virtual machines at the click of a button? Remember when Kubernetes made it trivial for infrastructure to automatically scale itself based on demand?

AI-Driven Risk Analysis in Seconds #AI #itsm

IT changes can be challenging. Hidden risks, costly mistakes. In Alloy Navigator, you’ve got an AI-driven risk analyst that tears through past tickets and mines your knowledge base, delivering risk analysis and tailored recommendations for every change — in seconds. Now everyone on your team has a personal Mentat, a strategic sidekick that turns data into sharp insight. In this short video, we used gpt-4.1-mini for completions and text-embedding-3-large for generating embeddings from OpenAI.

Unifying Autoregressive and Diffusion-Based Language Models

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. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.

The Innovation vs. Control Syndrome: Unlocking Enterprise AI's Full Potential

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

Vibe coding with the incident.io API

Many, many years ago, I was a computer science major at the University of Illinois, hoping someday I’d be able to write code for a living. I started my career in QA hoping to learn the ins and outs of software development. But it turns out I wasn’t very good at coding. I was just good enough to get a role as a sales engineer, where all I had to do was write code that could hold together for 30 minutes in a demo.

Coralogix becomes first observability vendor to earn ISO/IEC 42001:2023 certification for responsible AI

We’re proud to announce that Coralogix is now officially ISO/IEC 42001:2023 certified, becoming the first observability vendor to achieve this globally recognized standard for responsible AI management. ISO/IEC 42001:2023 is the world’s first international standard for Artificial Intelligence Management Systems (AIMS). It provides a comprehensive framework for how organizations should govern AI, focusing on transparency, ethical use, accountability, and regulatory compliance.

We built an MCP server so Claude can access your incidents

"Show me all critical incidents from the last week." "Create an incident for the payment API being down." "What was the root cause of that database incident last Tuesday?" If you've ever wished you could just ask Claude (or any MCP client) to handle incident management tasks instead of context-switching between chat and your incident management dashboard, you're going to like what we built.

The Role of AI in Next-Gen Fleet Telematics Systems

Artificial intelligence (AI) is really making fleet telematics way smarter. Right now, telematics uses things like GPS and other sensors to keep tabs on vehicles. But AI takes all that information and actually thinks like a human brain, just way faster. It's awesome at finding patterns, guessing when problems might pop up, and even suggesting how to fix them. For businesses with vehicles, this means they can make better choices without just guessing. AI is completely changing how managers handle their trucks or vans, which saves both time and money.

Vibe Coded Software Cybersecurity Risks and How To Respond

Generative AI has enabled anyone in any company to become a software creator, thereby creating a new generation of vibe-coded cybersecurity risks. The rise of "vibe coding" (building applications on the fly by describing what's needed in natural language) has introduced an entirely new class of security blind spots when these tools plug into your systems or are installed in your environment. Here's what vibe coding cybersecurity risks look like in your environment and what you need to do to stop them.

AI Agent Is Hitting Your APIs - Are You Ready?

It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.

Building your AI infra, our tips

Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.

Running AI without blowing up your storage

Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.

Applying AI/ML in Observability - Tech Talk #7

Ready to master anomaly detection? Join us for Part 2 of our "Applying AI/ML in Observability" series, where we do a deep dive into vmanomaly! In this live stream, Mathis and Marc will be joined by a very special guest: Fred Navruzov, the lead developer and mastermind behind VictoriaMetrics' vmanomaly. If you want to move beyond the basics and unlock the full potential of AI-driven observability, this is a session you can't afford to miss.

Securing the Invisible: Why Ambient AI Needs Next-Gen Security

If, like me, you’re continuously striving to keep pace with the ever-evolving world of artificial intelligence, you’re probably hearing a lot about how Ambient AI is poised to dominate discussions and developments throughout the second half of 2025. Ambient AI refers to artificial intelligence systems that operate unobtrusively in the background of our daily environments, constantly sensing, analyzing, and responding to various inputs without explicit human interaction.

EU AI Act: what changes in August 2025 and how to prepare

‍ On August 2, 2025, a key part of the EU AI Act comes into force. It has serious implications for how you manage incidents related to artificial intelligence. ‍ While the full regulation will not apply until 2026, new obligations for providers of general-purpose AI (GPAI) models begin this summer. If you are building or deploying AI-powered services in Europe, the clock is ticking.

Selector MCP and the Future of Modular Automation

In the first two parts of this series, we explored why modern network operations demand intelligent automation and how AI agents can reason, act, and collaborate to solve complex problems. We examined the frameworks – such as ReACT, LangGraph, and Pydantic – that power these agents, and how the Model Context Protocol (MCP) facilitates seamless integration with tools and services. But theory alone doesn’t improve network uptime or reduce manual toil.

CapCut for Real Estate: AI Voice Narration for Property Tours

Listing videos have proved a potent display of property available on the internet; however, not all videos with good frames cut through the market. The CapCut Desktop Video Editor has been designed as an all-in-one editing tool that enables real estate professionals to design a property tour with AI voiceover, action transitions, and high-definition pictures. CapCut gives the opportunity to create high-quality, compelling virtual tours even in the case of absence of a professional narrator and a studio where it is possible to shoot.