Operations | Monitoring | ITSM | DevOps | Cloud

Beyond Chatbots: Advanced Generative AI Use Cases to Supercharge Team Collaboration

Emails compose themselves. In 2023, Gmail introduced the "Magic Compose" feature and its "Help me write" button (later rebranded as Gmail's Gemini Assistant), enabling users to draft, reply to, or polish entire emails using a short prompt or by selecting an already typed phrase. At the same time, AIpowered meeting summaries became built into tools like Notion, where /meet now triggers fully automatic transcription, structured summaries, and tagged action items, eliminating scribbles and missing points. Meanwhile, calendars are no longer static deadlines in spreadsheets.

Elastic bandwidth and the future of AI-driven networks

In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.

End-to-end testing and deployment of a multi-agent AI system with Docker, LangGraph, and CircleCI

Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.

MCP server: Automated test coverage

Learn about a new feature using CircleCI's MCP server that brings automated test coverage to AI-enabled applications. Using a simple React app, the MCP server scans for AI prompts, recommends tests, and writes them directly into your codebase. Watch how you can: Now you can test and ship with confidence—right from your IDE or CI pipeline.

Detect hallucinations in your RAG LLM applications with Datadog LLM Observability

Hallucinations occur when a large language model (LLM) confidently generates information that is false or unsupported. These responses can spread misinformation that jeopardizes safety, causes reputational damage, and erodes user trust. Augmented generation techniques, such as retrieval-augmented generation (RAG), aim to reduce hallucinations by providing LLMs with relevant context from verified sources and prompting the LLMs to cite these sources in their responses.

Why we vibe coded a marketing campaign for Anthropic

Let’s start with the obvious: we’d like to have Anthropic as a customer. We greatly admire the work they are doing at the intersection of frontier models + safety. We use lots of different AI tooling at incident.io. We’re all-in at AI at incident.io, both to improve the productivity of our internal team and, more importantly, to provide our customers with superpowers in the form of an AI incident responder.

Remote Work in 2025: Data-Backed Trends Shaping the Future of Work

The landscape of work has undergone a seismic shift, with remote work evolving from a pandemic-driven necessity to a permanent fixture in the global economy. By 2025, remote work is not just a perk but a strategic cornerstone for businesses and employees alike. Backed by recent data, this article explores the key trends shaping the future of remote work, offering insights into how technology, workforce preferences, and organizational strategies are redefining the workplace. From hybrid models to cybersecurity demands, these trends highlight the opportunities and challenges of remote work in 2025.
Sponsored Post

What Is AlmaKnowledge?

Almaden proudly introduces AlmaKnowledge, a powerful new feature of the Collective IQ Business Edition platform. Unlike implementations of generative AI that rely only on trained models, AlmaKnowledge is purpose-built to embody and present enterprise-specific information. It works seamlessly with the AlmaAI capabilities in Collective IQ to enhance IT decision-making by leveraging enterprise information alongside industry data used by trained generic AI models such as ChatGPT. This provides deeper, faster, and more accurate insights for IT professionals and other departments which rely on IT's insights and recommendations.

3 AIOps Trends for 2025 #aiops

As IT environments grow more complex, teams need smarter, faster ways to stay in control. In 2025, three trends are redefining how modern IT operations teams drive efficiency and resilience: Automation Everywhere: Offload routine tasks with intelligent workflows Predictive Everything: Spot and resolve issues before they impact users AI + Human Collaboration: Empower teams with real-time, AI-driven insights.

Solve service ownership in minutes with Cortex's AI prediction model

Today marks an exciting milestone not just for Cortex, but for every organization looking to foster a culture of engineering excellence. Knowing who owns what is one of the hardest and most important challenges for engineering teams. Without clear ownership, incidents take longer to resolve, migrations stall, and enforcing standards becomes nearly impossible.

#044 - Scaling Platforms and Pioneering AI Agents with Hasith Kalpage (Outshift by Cisco)

Join us as Hasith Kalpag, Head of Platform Engineering at Outshift by Cisco, shares his fascinating journey. Hear about his experience leading the massive WebEx transformation to cloud-native using Kubernetes, including the intense push during the COVID-19 response, where they went from zero to over 50 production clusters in just three months.

Unlock a new era of agentic, AI-powered IT operations with a modern data strategy

IT operations have reached a breaking point. Hybrid cloud and modern software architectures have led to unprecedented increases in the scale, complexity, and fragmentation of IT infrastructures. In their attempts to manage this complexity, enterprises invest billions into observability tools, IT Service Management (ITSM) platforms, and outsourced Managed Service Providers (MSPs).

relaxAI API Tutorial: Getting Started with Secure and Private AI

Join Kunal Kushwaha, Field CTO, as he demonstrates how to get started with relaxAI API using Python, and explores its seamless integration with OpenAI API. Learn how to connect your API key, make requests, and parse responses. Start building private and secure AI applications today with relaxAI API!

Important Tech Advancements Transforming Turnkey Response Solutions

Turnkey response solutions are quite popular since they meet the demands of various sectors, such as cybersecurity, logistics, customer service, and many more. They are smarter and more creative than ever, and companies may get greater results and accuracy with their support. Let's look at some of the major changes that have changed turnkey response solutions.

How AI Code Assistants Break CI Pipelines - and How to Fix It

And why ephemeral preview environments are your best defense AI-powered code assistants like GitHub Copilot, Cursor, and Windsurf are revolutionizing how we build software. Developers are moving faster than ever — scaffolding features, generating functions, and completing workflows in seconds. But here’s the catch: AI code looks right. Until it’s not. It compiles. It passes linting. It even makes it through some basic tests. But when merged?

AI Studios Are Here: What Veo 3 Means for Indie Creators

AI Is the New Studio. And It Talks Back. Google's Veo 3 showed up in May 2025 and honestly it's wild. You type a few lines and boom it spits out a full video. We're talking movie-style stuff with synced voices ambient sounds background music and even lip movements that match the words. You used to need a team and fancy gear. Now you just need an idea and a keyboard. And this isn't just motion or scenery. Veo 3 gives you the whole package. The tone of the voice matches the mood. The background sounds feel real. It sounds like someone actually made it on set.

Grafana Campfire - Hiring with AI and more about Grafana MCP (Grafana Community Call - May 2025)

In this Campfire community call, we will talk about the new and the future of AI in the field of Observability space and also discuss about the Grafana MCP server to provide access to your Grafana instance and the surrounding ecosystem. Join me (Usman), Matt Ryer, Carl Bergquist, David Kaltschmidt for this exciting session. Special guests: Sarah Zinger, Cyril Tovena and Ben Sully.

Can AI Eliminate IT Tickets? Exploring the Future of Automated IT

What if IT issues could be resolved before a ticket is ever created? In this episode of Tech Transformed, Sean Heuer, CEO of Resolve Systems sat down with host Shubhangi Dua of EM360Tech to explore the groundbreaking concept of Zero Ticket IT. Heuer explains it's not about solving tickets faster—it's about eliminating the need for them entirely. Together, they dive into how agentic AI and intelligent automation are reshaping the future of IT operations, moving away from reactive models and towards seamless, proactive resolution.

PagerDuty + Microsoft Build 2025: Transforming critical work with AI and automation

At Microsoft Build 2025, PagerDuty was featured in key announcements showcasing how intelligent agents and real-time automation redefine digital operations. From Microsoft Copilot to the launch of a new Azure SRE Agent, PagerDuty was highlighted as a strategic partner in enabling intelligent, scalable incident response.

Agentic AI in Enterprise Risk Management - Key Benefits And Features for Chief Risk Officers

Companies using AI are expected to grow by 5.6% in 2025, pushing AI-driven business value to $4.9 trillion, up from $4.7 trillion in 2024, predicts Forrester. If this momentum continues, we won’t just see growth in AI adoption; we’ll witness a transformation in how businesses operate, opening doors to even greater innovation and long-term success.

ChatGPT vs relaxAI: What's the Difference for Your Data?

Discover how relaxAI, Civo's AI assistant, prioritizes data privacy and security. If you're concerned about data privacy with AI assistants like ChatGPT, relaxAI is a great alternative. relaxAI takes a unique approach by bringing the LLM to your data, giving you control over your infrastructure and data.

How AI Improves Ecommerce Customer Support Without Making It Feel Robotic

In today's ecommerce landscape, artificial intelligence isn't just a tool - it's reshaping how support teams operate behind the scenes. From smart chatbots handling peak-hour tickets to predictive systems flagging churn risk before it happens, AI is doing the heavy lifting. It's making operations faster and more scalable. But as automation spreads, a new concern is surfacing: how do you maintain the warmth and tone that customers associate with your brand? Efficiency is great - until it starts to feel cold. And that's where the balance gets tricky.

Essential Online Business Tools: A Domain Owner's Guide to Digital Success

Look, I've been in the domain game for years, and if there's one thing I've learned, it's this: your domain isn't just your digital address-it's your business's foundation. But here's where most people mess up: they grab a domain and think they're done. Wrong move. The real magic happens when you pair that domain with the right Essential Online Business Tools. Trust me, I've watched too many solid businesses crumble because they skipped this step. Don't be that person.

Enhancing workflow efficiency with Elasticsearch and Red Hat OpenShift AI

Elastic collaborates with Red Hat on the validated pattern to enhance financial analyst workflows with RAG-powered search. We’re excited to share that Elastic and Red Hat have partnered to create validated patterns that integrate Elasticsearch’s generative AI (GenAI) and vector search capabilities with Red Hat OpenShift AI. This integration can run on accelerated hardware on-prem or in IBM Cloud to power retrieval augmented generation (RAG) solutions.

Logz.io AI Agents: Transforming Observability Through Intelligent Automation

Let’s be honest. AI features can sound cool on paper, but too many tools overpromise and underdeliver. At Logz.io, we didn’t want to build “yet another AI chatbot.” We wanted to create something our engineers and yours would actually use when incidents hit, logs explode, or someone asking, “What just happened to production?” Here’s how our AI Agent evolved from a basic chat interface to an incident-resolving, log-analyzing, doc-digging, context-aware assistant.

How We Built an Agentic DevOps Copilot to Automate Infrastructure Tasks and Beyond

At Qovery, our goal is simple: eliminate the grunt work of DevOps. The idea of an assistant that can understand developer intent and autonomously take action on infrastructure has always felt like the holy grail. In February 2025, we started building that assistant - our DevOps Copilot. Today, our Agentic DevOps Copilot is live in Alpha. It helps developers automate deployments, optimize infrastructure, and answer advanced configuration questions. But getting here took multiple iterations.

A New Era of Efficiency: Leveraging AI, Data, and Modernization to Improve Public Services

Greg Reeder from Datadog talks with Martha Dorris, a leader in government customer experience, about how agencies can drive efficiency using AI, real-time data, and observability. They highlight CX wins at the State Department, IRS, and CBP—showing how smarter monitoring and design improve services, reduce costs, and strengthen citizen trust.

Streamline Your Development Process with relaxAI!

Join Ben Norris, AI Engineer at Civo, as he showcases the capabilities of relaxAI, our AI-powered coding tool. In this demo, Ben demonstrates how relaxAI can be used to build a website, create a Kubernetes deployment, and generate a Docker image with ease. Watch as he explores the features and benefits of relaxAI and see how it can simplify and accelerate your coding workflow. This is a recording taken from a Disruptive Tech event in London, sponsored by Civo.

7 Tips to Optimize Your eCommerce Operations & See More Success

eCommerce can be an interesting industry to break into, and it's easy to see why so many people want to give it a go. Once you start with it, however, you'll quickly see how complicated it can be. That's especially true when it comes to the various ecommerce operations you'll have to take care of. These need to be done properly if you want to see success. As complicated as it can seem, you'll need to optimize your ecommerce operations.

Accelerating AI-Powered Digital Operations: Integrating xMatters with ServiceNow's Latest Innovations

ServiceNow’s Knowledge 25 unveiled transformative innovations designed to embed AI deeply within every enterprise workflow. These advancements—like AI Agents, the AI Agent Fabric, and the AI Control Tower—mark a leap forward in digital operations. But what if you could amplify these capabilities even further, achieving truly proactive, automated, and seamless responses across your entire organization?

The Secret to Effective Edge AI: Mastering Data Pre-Processing

Discover why deploying Edge AI isn't just about feeding raw data into algorithms. François Baldassari reveals the crucial art and science of data pre-processing that makes AI systems truly effective. Uncover the surprising steps behind transforming vision-based AI into a powerful tool.

Want AI to be better at debugging? It's all about context

More code is being shipped today than ever before, accelerated by AI powered code gen tools. We’re in a golden age for builders. But here’s the thing: software still breaks in production. From a recent study by Microsoft, AI models struggle to debug software. It’s because most of these code gen tools lack the one thing every good developer relies on: context. To debug anything, you need context. Having AI tools doesn't change that.

Monitoring AI Proxies to optimize performance and costs

Businesses deploying LLM workloads increasingly rely on LLM proxies (also known as LLM gateways) to simplify model integration and governance. Proxies provide a centralized interface across LLM providers, govern model access and usage, and apply compliance safeguards for smoother operations and reduced complexity—making LLM usage more consistent and scalable.

Using Website Change Monitoring Software in the Age of AI Content

The rise of artificial intelligence has revolutionized the way businesses create and manage digital content. As of 2024, over 45% of marketing teams are actively using generative AI tools like ChatGPT, Claude, and Jasper to create website copy, blog posts, product descriptions, and more (Salesforce). Meanwhile, Gartner predicts that by 2026, 80% of content on the internet will be AI-generated.

Top 5 AI Companies Leading Innovation in Texas in 2025

If you are addicted to tech news, you have seen how technology is evolving super fast; specifically artificial intelligence (AI) continues to reshape the landscape of business, healthcare, and customer experience. While the global spotlight often shines on Silicon Valley, Texas has quietly emerged as a powerhouse in the AI revolution. Texas is home to some of the most promising and fast-growing companies in the country. From customer experience platforms to healthcare-focused AI systems, these companies are paving the way toward the future-including the highly anticipated goal of Artificial General Intelligence (AGI).

How Tech Is Making Car Transport Even Easier

Transporting a car used to be a complex and time-consuming process, filled with phone calls, paperwork, and logistical headaches. But thanks to advancements in technology, the car transport industry has been transformed into a more streamlined, transparent, and user-friendly experience. From instant quotes to GPS tracking, digital innovation is making it easier than ever to move your vehicle from one place to another, whether you're relocating across the country or simply sending a car to a buyer in another state.

AI's Unrealized Potential: Honeycomb and DORA on Smarter, More Reliable Development with LLMs

Charity Majors, CTO and Co-founder at Honeycomb, and Phillip Carter, Principal Product Manager at Honeycomb, recently hosted a webinar with DORA's Nathen Harvey on AI's unrealized potential. As part of this, we created a 3-minute highlight reel of the webinar that you can watch.

Why Smarter Distribution Networks Are Winning the Race for Customer Loyalty

In today's competitive market, customer loyalty is no longer secured by product quality alone. It is increasingly determined by how well businesses deliver on expectations-literally. That's why more and more companies are turning totop distribution management software like SimplyDepo to streamline operations and meet rising customer demands from the very first mile to the last.

How CircleCI implemented llms.txt for better AI discoverability

At CircleCI, we’re committed to making our platform work seamlessly with the AI-powered tools that developers increasingly rely on. Our journey into AI integration is focused on creating a robust Model Context Protocol (MCP) server that allows AI assistants to access and understand CircleCI data in real-time. This enables developers to debug build failures, analyze test results, find and fix flaky tests, and improve pipelines using natural language within their favorite AI tools.

Why AI Won't Replace Engineers: Solving Problems for Eternity

Is AI engineering a career killer or a game-changer? Dive into a thought-provoking discussion on how AI might redefine the role of software engineers. Discover why problem-solving engineers will always be in demand, even as the tools and methods evolve. If you enjoy tackling challenges, your career might just be future-proof.

Explore CircleCI projects from your IDE with AI assistance

CircleCI gives you deep visibility into your builds, workflows, and tests, but jumping between browser tabs, copying project URLs, or re-authenticating across tools can slow things down. What if your IDE could just show you the projects you’re working on and let you act on them directly? This post shows how to use the list_followed_projects tool in the CircleCI MCP server to browse and interact with your CircleCI projects by chatting with an AI assistant inside your IDE.

The Role of Open Source in Shaping AI Innovation

Can open source survive in an AI-driven world? As AI seems to take over, there's a burning question about the future of open source contributions. Discover the unexpected role open source plays in training AI, and ponder the long-term implications. Can we keep feeding the beast, or will AI eventually stand alone?

What's Holding Back AI Adoption in India?

Earlier this year, I spent a few weeks in India, visiting universities, speaking at meetups, and catching up with founders. What stood out wasn’t just the excitement about AI, but the focus on what it can actually do today. The curiosity about GenAI and big-picture questions around AGI is there, but most conversations centered around real needs: learning faster, applying for jobs, and getting healthier.

You, Me, and BugSplat's MCP

Let's face it - from an experienced developer's perspective, most software trends are, put lightly, incredibly annoying. The last thing a grizzled, old, technical wizard wants to hear is some half-brained junior developer telling them to switch their SQL server to MongoDB, replace the PHP EC2 with serverless Python, or rewrite their entire front-end with HTMX. The hype-train is so intense that even watching TV feels risky, as you might see something as absurd as an ad for AI toothpaste.

Monitoring your MCP Server in Production (with Sentry)

So you're building an MCP server for your project or service, to allow AI chatbots and agents to interact with it? Great! You've decided to build it using Cloudflare Workers, have written the code, shipped it, and the first users are getting onboard: you're officially running it in production. That's when problems start. I'm not here to dissuade you from shooting your shot, but let's make sure you've got your bases covered in production when something inevitably goes wrong.

Beyond the Horizon: The AI Landscape for MSPs - Managing Governance, Compliance, and Cyber Threats

In this episode of the Beyond the Horizon podcast, Pete Roythorne sits down with Nicole Reineke, Senior Director of AI Strategy at N-able, to explore the fast-changing world of AI and its impact on managed service providers (MSPs). From the weaponization of AI in cybersecurity to the critical role of data governance and ethical compliance, this conversation delves deep into both the potential and peril of emerging AI technologies.

Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information. This is where RAG comes in; RAG addresses these critical gaps in traditional LLMs by incorporating current and new information that serves as a reliable source of truth for these models.

Coding from Scratch: Embracing AI's Approach to Simple Solutions

Can coding with AI transform how we approach software development? Discover how AI's fearless approach to starting from scratch challenges traditional coding habits and inspires a new way of thinking. But is there a hidden cost to leaving libraries behind? Dive into the debate on coding efficiency and best practices.

AI at the Edge: Why Smart Data Placement is the Key to Unlocking Its Power

As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential. This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations.

The Impact of AI on Travel Photography: A New Era of Capturing Moments

After the arrival of AI, the entire scene shifted from upside down. When it comes to capturing the essence of the world's beauty and culture, travel photography is something you need. No matter if you are enjoying a gorgeous beach, hiking in the beautiful mountains or visiting the best sites of the city, getting access to photography will allow you to capture a lot of fun and adventurous memories. Ranging from the innovative technologies to all sorts of possibles, everything is changed with Artificial Intelligence (AI).

Supercharge Your Arduino Creations with AI and VS Code

Discover why AI coding is revolutionizing Arduino projects and how using the right tools can supercharge your development process. Uncover the secrets to seamless coding with a combination of Arduino plugins and VS Code, and see how AI is changing the game for creators worldwide. Will the future of coding be this intuitive? Watch and find out!

Track GitHub Copilot Usage with Datadog #GitHubCopilot #Datadog #DevTools

Easily track GitHub Copilot usage across your organization with our new integration. On This Month in Datadog, we’re covering this integration, Datadog CoTerm, and the new Optimization page in Datadog Real User Monitoring. Check out the link in our bio to watch the new episode.

12: Kubernetes Maturity, Cost Optimization, Automation & AI with Viktor Farcic

Welcome to another episode of Densify Talks! Andrew Hillier has a fun and informative conversation with Viktor Farcic. Viktor considers himself a technology critic (think of the old muppet critics on the balcony) and rapscallion. We think he’s also quite the thought leader and author, with some very bold insights on technology that are worth hearing! See Viktor’s biography below for more information about him.

IBM's AI Just Replaced 94% of HR functions - What's Stopping You?

At IBM’s Think conference this week, the company made a bold announcement: 94% of its HR functions are now handled by AI, a shift they claim will generate $3.5 billion in savings over the next two years. These are staggering numbers. And while the cynic in me can’t ignore that this announcement was made at what is, effectively, a sales conference – especially one that coincided with the launch of IBM’s AI Agent Store – the scale of those numbers deserves attention.

OpenAI's 'AI in the Enterprise' Report: A Must-Read - But One Crucial Piece Is Missing

We are standing at the threshold of one of the most transformative technological shifts in modern enterprise history. AI is no longer on the horizon – it’s here, it’s powerful, and it’s already reshaping the way businesses think about productivity, creativity, and competitive advantage. OpenAI’s recent report, ‘AI in the Enterprise‘, offers a concise and thoughtful roadmap for leaders seeking to implement AI within their organizations.

What is Model Context Protocol (MCP)?

Let’s be honest, most AI (Artificial Intelligence) tools today are relatively smart but not always super useful. You ask them to explain something, write an email, maybe generate some code, but the moment you want them to do something real, like schedule a meeting, file a bug report, or move stuff across your tools, they just stare blankly. That’s where MCP comes in. MCP stands for Model Context Protocol.

Will AI Kill Our Talent Pipeline?

As AI adoption increases, the race to real, durable AI value intensifies. Almost every organization that can use AI is using AI — but one of the most troubling trends I’ve observed revolves around talent. Right now, most organizations use AI to increase internal efficiencies — do quick research, write quick emails, start a new project at the 50% mark rather than the 0% mark, etc. But some executives I’ve talked to are taking a more aggressive approach.

Splunk Observability Cloud's AI Assistant in Action | Practical Examples | Part 2

In this video, we'll explore practical ways to utilize the AI Assistant in Splunk Observability Cloud. Through real-world scenarios, learn how the AI Assistant can help you interpret metrics, contextualize data, onboard new team members to your organization, and automate tasks via the Splunk Observability Cloud API. AI Assistant in Splunk Observability Cloud enhances observability by providing actionable insights and streamlining workflows.

This Month in Datadog: OpenTelemetry Collector distribution, GitHub Copilot integration, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on the Datadog Distribution of the OpenTelemetry Collector.

RITA Demo

Watch a demo of RITA, the first AI Agent powered by Resolve Actions. RITA brings smart, real-time assistance to IT ticket handling, where delays often occur. From auto-populating ticket fields and translating user inputs to generating new knowledge articles, RITA enhances the efficiency and accuracy of every support interaction.+ Increases first call resolution rates+ Scales your service desk capacity while retaining quality.

AI vs. Gen AI: Breaking Down the Key Differences for 2025

Imagine IT systems that fix themselves, customer service platforms that auto-resolve tickets, and organizations that detect and block fraud in milliseconds. This is not science fiction—it is the real-world impact of AI vs. Gen AI. While traditional AI drives automation and intelligent decision-making, Generative AI takes it further, writing reports, generating code, and crafting marketing campaigns in seconds. Together, they are transforming how industries operate in 2025.

Agentic AI in financial services: The rise of autonomous intelligence

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.

Are Traditional IT Onboarding Methods (Becoming) Obsolete?

You're probably excited when you're about to start a new job, and then onboarding happens. If we're being completely frank, most IT onboarding is a slog. Someone hands you a long PDF, a few old slide decks, and they expect you to make sense of all this in just a couple of days. If you're really lucky, you have a colleague who'll walk you through it, but if everybody's busy (which they usually are), you're on your own, and it's not fun.

EssayHub Review: I Ordered an Essay and Here's How It Went

The semester was coming to a close, and I was drowning. Finals were creeping up, my brain was fried, and I hadn't slept properly in days. I was balancing my classes, a part-time job, and way too many assignments. Back then, I couldn't even glance at another essay, let alone write one. This happened about a year ago, right when I hit my absolute limit. I never thought I'd try an essay writing service, but I was burnt out and needed help. That night, while doomscrolling Reddit instead of working, I came across EssayHub. I clicked out of curiosity and ended up placing my first order.

Introducing relaxAI by Civo: The AI Assistant That Puts Your Data First

Learn how relaxAI, our cutting-edge AI assistant, can help you unlock the full potential of artificial intelligence with a focus on data privacy and security. With its advanced LLM models and user-friendly interface, relaxAI is designed to make AI more accessible and powerful for businesses and individuals alike. In this video, Ben Norris, AI Engineer at Civo, will take a closer look at the features and capabilities of relaxAI and show you how it can help you streamline your workflow, improve productivity, and drive innovation.

What AI workloads really need from your network

The rapid advancement of generative AI has brought with it new challenges and complexities - particularly when it comes to networking. As organisations globally rush to leverage large language models (LLMs) to transform their operations, it’s imperative to understand that AI isn’t just about algorithms and data science, it’s also about the network that underpins it all.

Google's Agent-to-Agent (A2A) Protocol is here-Now Let's Make it Observable

Can your AI tools really work together, or are they still stuck in silos? With Google’s new Agent-to-Agent (A2A) protocol, the days of isolated AI agents are numbered. This emerging standard lets specialized agents communicate, delegate, and collaborate—unlocking a new era of modular, scalable AI systems. Here’s how A2A could transform your workflows, and why making it observable is just as important as making it possible.

AI Smart Search: Find and Filter Your Assets Quicker Using Natural Language!

Say goodbye to tedious manual searches and hello to effortless asset discovery. With Smart Search, you can use natural language queries to find what you need in seconds. Simply type "computers in Buenos Aires" or any other everyday phrase to get instant results. Designed specifically for IT environments, Smart Search understands and processes industry-specific terminology. Learn more about how this feature can simplify your daily operations.

We built AI-powered Root Cause Analysis that actually works

Figuring out why things break still sucks. We’ve got all the data: metrics, logs, traces, but getting to the actual root cause still takes way too long. Observability tools show us everything, but they don’t really tell us what’s wrong. So why do we even need to automate root cause analysis? First, time. Outages are expensive. And if your system has hundreds or thousands of services, digging through everything by hand just takes way too long.

ChatGPT vs. relaxAI: What's the difference?

The AI chatbot market has grown exponentially since ChatGPT's launch in 2022, with millions of chatbots now in use. At a surface level, AI chatbots are a computer program that simulates human conversation with an end user (IBM). As the market continues to evolve, the differences in their approaches to data privacy, security, and user control have become increasingly important. This is particularly relevant for organizations seeking to leverage AI chatbots while ensuring the protection of sensitive data.

AI-Governed Infrastructure: The Next Phase of IT Operations Management

The automation era brought speed. The AI era brings judgment. And now, a new chapter is unfolding—one where infrastructure no longer waits for human instruction but instead governs itself. We’re entering the age of AI-governed infrastructure, the natural evolution of AI operations management. It’s not about replacing people; it’s about eliminating inefficiency, unlocking resilience, and empowering IT systems to heal, respond, and optimize on their own.

GitKraken Desktop 11.1: Auto-gen PR Title & Descriptions, Stash Messages, & More

Tasteful AI features? Is that even a thing? With GitKraken Desktop 11.1, we think we’ve struck the right balance of adding useful AI capabilities that stay out of your way until you actually need them. In our previous release, we introduced GitKraken AI, which helps explain selected commits and generate commit messages. With 11.1, we’re building on that foundation with two major enhancements that bring even more context-aware assistance to your workflow.

AI Data Management: Strategies, Tools, and Trends

Artificial Intelligence (AI) is revolutionizing businesses across industries. From personalized customer experiences to predictive analytics and process automation, there are hardly any sectors untouched by AI's impact. Its applications in data management aren't left behind. In fact, AI has the potential to transform traditional data management practices.

Building a real-time AI autocomplete app with Next.js and Vercel AI SDK

Over the past ten years, Azure has become one of the most prominent cloud computing platforms available, rivaled only by AWS. Part of Microsoft’s suite of Azure services, Azure web apps provide a packaged environment for hosting web applications built in many languages. Because this environment is fully managed by Azure, developers have limited options for control.

Unlocking the Power of LLMs and AI Agents for Network Automation

Artificial intelligence is reshaping how enterprises manage and secure their networks, but not all AI is created equal, and not all Large Language Models (LLMs) are ready for the job. While tools like ChatGPT and Google Gemini are transforming communication and productivity, applying general-purpose LLMs to something as specialized and high-stakes as network operations is an entirely different challenge. Networks are dynamic, complex, and context-heavy.

The EU AI Act and what it means for managing incidents

If you've been in earshot of tech leadership lately, you've probably heard the words 'EU,' 'AI,' and 'compliance' in conversation. The EU AI Act is officially upon us, and with it comes a whole new set of incident response and reporting requirements that might feel like a yet another bureaucratic set of requirements to worry about. But there's a different way to look at this legislation.

AI on constrained embedded devices with Ubuntu Core

As AI moves closer to production, running inference on embedded devices is becoming essential, but challenging. In this session, Gabriel Aguiar Noury (Product Manager at Canonical) explores how snaps and Ubuntu Core simplify the packaging and deployment of AI models on resource-constrained devices, while maintaining security and updatability.

Social Media Marketing Tips for Freelance Professionals

In today's day and age, investing in social media marketing truly is essential for freelance professionals looking to build an online presence. When utilized effectively, platforms like Instagram, Facebook and LinkedIn can help you build a strong personal brand and connect with people who might be interested in your services. And with an audience-centric approach to your content development, social media marketing can really be a viable strategy no matter your budget.

How AI Is Reframing the Software Development Operation Rules

There's a revolution in the making in software development. It's about working smarter. Teams scale without lag and produce consistently high-performing systems. And artificial intelligence is stepping up as a game-changing partner. This shift isn't automation - it's intelligence. AI is bringing sense to complexity, allowing teams to cut through noise and ship quality code. It makes DevOps pipelines stronger than ever. Let's get in there and look at how AI is taking drudgery off the table and redefining operational excellence for the tech stack.

The use of AI has become the expectation, are you keeping up?

In the last few months, it feels like LLMs have gone from a nice place to consult for a few ideas to the first place you might turn for input. An AI can offer insight on that work presentation you need to put together, it will write you a business plan outline with two lines of prompting—and include categories you might forget to add, and, most impressively for me recently, it will even criticise your tone in work correspondence.

Dynamic Demands, Dynamic Solutions: IT's Role in the Next AI Workflow Evolution

I have just finished reviewing the Microsoft Work Trend Index Annual Report for 2025, which offers fascinating insights into the next wave of organizational evolution. I am particularly excited about the section titled ‘Journey to the Frontier Firm’ and what is possible in phase three, where employees will harness the power of multiple AI agents, creating an ‘agentic swarm’ capable of executing tasks at a scale and speed previously unimaginable.

Streamline your LangChain deployments with Langserve on GCP

Deploying Large Language Model (LLM) applications can transform ideas into valuable services. But, deployment challenges can slow down even experienced developers. In this tutorial, you will build and deploy a LangChain application using LangServe and CircleCI on Google Cloud Run. You will create a text summarization tool powered by Google’s Gemini model. You will use Langserve to expose it as an API. You will automate testing and deployment to Google Cloud Run using CircleCI.

Use AI to resolve CI test failures with zero guesswork

Test failures are inevitable. A broken condition, a missed edge case, or a last-minute refactor can trip up even the most careful changes. That’s part of shipping software. What shouldn’t be part of the job is spending half your afternoon parsing logs and chasing down the root cause. Now, there’s a faster way. This guide shows how to use the CircleCI MCP server to identify, understand, and resolve failing tests in a CI/CD build without ever leaving your editor.