Operations | Monitoring | ITSM | DevOps | Cloud

The sovereignty of the builder: Lessons from Civo Navigate London 2025

Digital sovereignty isn’t won in policy papers. It’s earned in production. That was the challenge issued by Civo CEO Mark Boost and Board Director Kelsey Hightower at Civo Navigate London 2025. They argued that the cloud's real failure lies not with the providers, but with the customers who refused to change. Catch up on the full fireside chat below The power shift is underway, moving from large vendors back to the practitioner.

Streamline feature management with Harness MCP and Claude Code

Harness now supports the Model Context Protocol (MCP) for Feature Management and Experimentation (FME), enabling developers to interact with feature flags directly from AI-powered IDEs like Claude Code and Windsurf. The FME MCP tools make it easier to explore, understand, and manage feature flags through natural language, streamlining delivery and release workflows without leaving your development environment.

Webinar: Platform Engineering 3.0-Practical Guidance for the AI Era

Platform Engineering is evolving fast. From the early days of CI/CD automation to today’s self-service platforms, we’re entering a new era: AI-enhanced infrastructure management.‍ In this 40-minute thought leadership session, you’ll gain practical, actionable guidance on how to prepare your team for Platform Engineering 3.0—where AI-driven insights, automated governance, and IDE-native workflows accelerate delivery without sacrificing control.

CRO's Guide to Agentic AI: Building an Autonomous Revenue Engine

Revenue Operations is at a decisive turning point. The modern customer journey is getting more complex, with buyer paths broken across multiple digital touchpoints and competitors quickly shifting their strategies. For years, Chief Revenue Officers (CROs) have tried to manage this environment by adding more technology and processes; yet, sustained revenue growth remains elusive.

What Does the Journey from Generative to Agentic AI Mean for Customer Experience?

Today, generative AI has transformed customer experience (CX) from scripted exchanges to dynamic conversations at scale. And nearly every enterprise is feeling its immediate impact. But as your peers rush to deploy chatbots and automate responses, leaders face a blunt reality: the real race is only just beginning. Generative models are powerful, but fundamentally limited. They can personalize dialogue, but not execute decisions. They react to customer needs, but cannot act on them.

We Built an SRE Agent With Memory And It's Transforming Incident Response

If you feel like your incidents are multiplying while your stack gets more complex by the week, you’re not alone. Event volumes keep climbing, signals live in a dozen tools, and human responders are stretched thin. That’s exactly why we built the PagerDuty SRE Agent—a vendor‑agnostic AI teammate that improves with every response to make the next one faster, smarter, and more reliable.

Too Late to Learn: Why Security Post-Mortems Fail and How AI Can Help

An effective post-mortem can turn a security breach into a blueprint for lasting resilience. But too often, in the stress of an incident, documenting what happened takes a back seat to containment and recovery. The resulting analysis relies heavily on memory, scattered notes, and competing narratives. Valuable context gets lost, timelines blur, and lessons that could strengthen defenses never become institutional knowledge.

Civo AI: Turnkey Privacy, Design & Solving Real Problems

Josh Mesout, Civo’s Chief Innovation Officer, takes the stage to ask the question every UK leader is facing: how do we keep pace with the AI explosion while retaining full data sovereignty? Josh walks through relaxAI – a privacy‑first, turn‑key AI solution that ships as a plug‑and‑play box, runs on the latest NVIDIA B200 hardware, and keeps every byte inside the UK. He also demonstrates the dramatic cost advantage, up to 90 % cheaper than the big‑name models , and shows how a single query can spin into a research‑grade analyst report in seconds.

Why we brought hardware-optimized GenAI inference to Ubuntu

On October 23rd, we announced the beta availability of silicon-optimized AI models in Ubuntu. Developers can locally install DeepSeek R1 and Qwen 2.5 VL with a single command, benefiting from maximized hardware performance and automated dependency management. Application developers can access the local API of a quantized generative AI (GenAI) model with runtime optimizations for efficient performance on their CPU, GPU, or NPU.

Sumo Logic Dojo AI overview

Stop the firefighting and get instant answers with Sumo Logic Dojo AI. When a security incident hits, you risk losing money and time as you wait for investigations and troubleshooting. Discover how Dojo AI agents simplify investigations by surfacing potential threats, providing actionable insights, and guiding you to the root cause faster using natural language.

Introducing the Splunk Technology Add-on for Ollama: Illuminating Shadow AI Deployments

Without strong visibility and governance, local LLMs risk replicating the fragmented, unsupervised sprawl once seen in shadow IT, complicating security postures and making it difficult for organizations to ensure proper oversight and compliance as these powerful AI tools become embedded in daily workflows. To address this challenge, The Splunk Threat Research Team has released the Splunk Technology Add-on for Ollama that provides comprehensive monitoring and observability capabilities specifically designed for local LLM deployments.

Introducing Braintrust

How do you balance speed and quality when your customers are counting on you? What does it actually take to build a culture of reliability? And how should engineering leaders think about AI when it's changing everything about how we ship software? On Braintrust, Ganesh Datta, CTO and Co-founder of Cortex, sits down with CTOs, VPs of Engineering, and technical leaders who've been in the trenches—the ones who've made the hard calls, shipped through the chaos, and built teams that actually work.

How Content Creators Are Using AI Face Swap for Viral Videos

The internet thrives on creativity, humor, and trends, and few technologies have amplified this dynamic more than artificial intelligence. Over the past few years, creators have turned to AI-driven tools to make content that's more immersive, engaging, and instantly shareable. Among these innovations, face swap technology has stood out as a game-changer, transforming ordinary clips into viral sensations.

How Generative AI is shaping the future of enterprise applications

The next golden age of artificial intelligence has arrived, but the path forward is far from certain. Technology leaders are presented with a tremendous opportunity to revolutionize their business — that is, if they can find a way to tap into the full potential of their organization's data. In Episode 4 of Elastic's new limited series, Generation AI, Elastic's Sr. Director, Enterprise Applications, Jay Shah, shares how he believes generative AI will shape the future of enterprise applications.

CEO Diaries: Not All AI Talent Is Alike

If Meta’s (now halted) nine-figure AI talent poaching scheme was any indication, the AI talent market is pretty frothy. The number of AI-related job postings has roughly tripled since 2019, and the average salary has more than doubled (Bain). The race is on for companies to find the fastest, most sustainable routes to AI-driven business value; all companies, but especially software companies, are hotly pursuing racers. But despite what Zuckerberg & Co.

5 Best Practices for Incorporating AI Into Your Team

Honeycomb’s Jessica Kerr and Fred Hebert recently hosted a webinar with Courtney Nash of The VOID where they dug into one of the biggest questions in tech right now: How do we build systems (and teams) that actually learn with AI, not just use it? The conversation was surprisingly optimistic about what happens when we stop treating AI as a productivity tool and start seeing it as a teammate. You can watch the full webinar here, or read on below for a quick recap.

Setting Up the GitKraken MCP Server with GitLens

GitKraken MCP (Model Context Protocol) brings repository intelligence directly into VS Code, Cursor, Windsurf, and other AI-powered IDEs so your agent stops guessing and starts understanding your actual workflow. Instead of manually explaining your branch structure or digging through issues in your browser, MCP connects your AI agent to the actual state of your repositories. It understands your branches, your issue tracker, your pull requests, and your commit history—then helps you start work, resolve conflicts, and review code without leaving your editor.

How FinTech Is Pushing the Boundaries of Intelligent Operations

In the last decade, the financial technology (FinTech) industry has evolved from a promising disruptor to a powerful force reshaping global business operations. What began as a wave of startups offering digital payments and online banking has now transformed into a full-fledged ecosystem of automation, data intelligence, and artificial decision-making.

Why Brand Monitoring is Essential in the Age of Programmatic AI

Recently, crowdfunding giant GoFundMe made headlines after (among other things) automatically generating some 1.4 million donation pages for U.S. 501(c)(3) nonprofit organisations. These pages were created without prior consent, using publicly available IRS data and partner-feeds. According to reports, many nonprofits discovered these pages only when alerted by a donor or curious patron; they had no advance knowledge and had to manually un-publish or “claim” the page.

Artificial Intelligence as a Service AIaaS (AIaaS): What is Cloud AI & How Does it Work?

Today, organizations looking to build AI products and services using large language models (LLMs), agentic AI, and generative AI often start by investing in artificial intelligence as a service (AIaaS), also known as cloud AI. AIaaS provides a scalable, flexible, and cost-effective way for businesses of all sizes to access advanced AI technologies without the need for extensive in-house expertise or infrastructure.

Introducing JFrog Fly: The World's First Agentic Artifact Repository

AI has created a paradigm shift in software development. AI-native development teams – from small startups to enterprises like Goldman Sachs and Google – are adopting agentic development tools like Cursor and Copilot to increase the speed of code generation to a pace we’ve never seen before. But with all this new code comes a big challenge: how do you manage all these potential new releases and get the right ones deployed?

Exploring the Future of Agentic AI Insights from Fabrix ai's Upcoming Summit

In this engaging discussion, Bob Laliberte, Shailesh Manjrekar from Fabrix.ai, and Zeus Kerravala from ZK Research delve into the upcoming half-day summit, "Agentic AI Unleashed: The Future of Digital and IT Operations." They explore the critical need for enterprises to operationalize AI effectively, demystifying common misconceptions while addressing the transition from pilot projects to scalable AI solutions. Join them for valuable insights into the evolving landscape of agentic AI and its role in future business operations.

Shadow AI on Trial: The Phantom Threat to Compliance

Every law firm I meet can explain its information security policy in minutes. Far fewer can tell me which AI tools their staff actually used last week, and what data those tools touched. That gap is where Shadow AI sits, such as unsanctioned, unmonitored use of generative AI slips in. It promises speed, but it quietly creates exposure: confidentiality breaches, weak auditability, and a risk to governance when the regulator (or a client’s GC) asks hard questions.

Bring incident response to AI stack with ilert's MCP Server

ilert’s engineering team has developed an open Model Context Protocol (MCP) server that enables AI assistants to securely interact with your alerting and incident management workflows, from determining who is on call to creating incidents. In this article, we provide a simple explanation of MCP, outline the reasons behind our investment in it, describe the high-level architecture, and explain how to connect Claude, Cursor, and other MCP clients to ilert today.

AI Chief of Staff for Engineering Leaders

Meet Cortex’s AI Chief of Staff, your new strategic partner for engineering leadership. This isn’t just another dashboard. It’s an intelligent advisor that connects your engineering data, scorecards, and DORA metrics to give you real-time, actionable insights. What you'll learn in this video: Cortex’s AI Chief of Staff brings clarity and confidence to decision-making, helping leaders transform meetings into strategic, data-driven conversations that drive continuous improvement.

Data Sovereignty + AI: How Civo's New Cloud Gives You Full Control

We spot the tipping point: AI is reshaping every industry and data has become the new oil. From law firms to pharma labs, SaaS stacks to even a secret chicken recipe, today’s most valuable info is trapped in a handful of hyperscalers with almost no governance. Our UK‑based survey of 1,000 IT leaders shows the pressure is real. Most are ready to abandon big‑tech for true control and sovereignty. Civo’s answer is a new kind of cloud: built from the ground up, 100 % data‑sovereignty, and designed for more value, simplicity, and flexibility.

Streams: Elastic's New AI That Turns Log Chaos into Clarity

Elastic just made every SRE’s life easier. With the new Elastic Streams, AI automatically organizes, structures, and analyzes billions of logs, helping you find issues, detect anomalies, and fix problems in minutes, not hours. See how Elastic’s deep generative AI core turns chaos into clarity for Site Reliability Engineers and developers worldwide.

AI monitoring is coming to Oh Dear

Would you know if your checkout form stopped working overnight? Or if a recent deploy broke your login flow? Traditional monitoring can't catch these issues - it only tells you if your site is up, not if it actually works. AI monitoring lets you describe what should work in plain English, and we'll test it like a real user would - clicking buttons, filling forms, checking content. No scripts to maintain, no complex setup.

Ways Automation Can Streamline Your Customer Service Processes

Customer expectations continue to grow as technology advances. People want quick responses, personalized interactions, and consistent support across multiple channels. Businesses that fail to keep up risk losing loyalty. Automation offers a practical solution by enhancing customer service efficiency while maintaining a human touch. When implemented correctly, automation improves satisfaction, accuracy, and productivity across every stage of the customer experience.

What we learnt from our panel discussion on AI in the UK

At Civo Navigate London 2025, we hosted a panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik to discuss the latest trends and challenges in AI adoption. Through this conversation, the panelists covered topics such as the current state of AI adoption to the challenges of scaling AI, and the future of work.

Meet Olly - The Coralogix AI Observability Agent (Demo)

Olly is Coralogix’s AI-native observability agent that makes observability data fast, accessible, and actionable—for everyone. Traditionally, teams have spent valuable time piecing together dashboards and writing queries to troubleshoot issues. Olly changes that by letting you ask real questions in natural language and delivering instant, intelligent answers from across your logs, metrics, and traces.

Demo Roundups! What's New in Schedules: Flexible Shifts + AI Conflict Resolution

Manual scheduling and on-call gaps cost your team sleep and sanity. Join us for a demo of PagerDuty's latest schedule experience improvements. From iCal-compatible shift management to AI-powered conflict resolution, see firsthand how to build bulletproof on-call coverage with minimal operational overhead.

New Feature Friday: Ask Your Engineering Metrics Anything | Cortex Engineering Intelligence for MCP

What if you could analyze your engineering metrics — just by asking a question? Now you can. Introducing Engineering Intelligence for MCP, a new Cortex feature that lets you query your engineering data through AI systems like Claude or Cursor. No dashboards. No BI setup. Just ask: “What’s driving our cycle time?” “Show me Q3 deployment trends.” “Where are our bottlenecks?” Cortex connects your real engineering data to your favorite AI client, so you can get instant, conversational insights on delivery, quality, and team performance — all without leaving your IDE.

The Future of Social Media Marketing: Trends to Watch in 2025-2026

I'll be honest with you-predicting the future of social media feels a bit like trying to catch lightning in a bottle. Just when you think you've figured it out, everything changes. Remember when we all thought Instagram was just for pretty food photos? Or when TikTok was "just a dancing app"? But here's the thing: while platforms evolve and features come and go, there are clear patterns emerging that tell us where we're heading. And if you're running a business or building a brand, paying attention to these trends isn't optional anymore-it's survival.

Clarity in the Dojo: The power of the Summary Agent

In the dojo, not every role is about throwing punches. Some roles are about awareness, the unmistakable voice that tells the fighter when to move, where the strike is coming from, and why the opponent matters. That’s the role of the Summary Agent in Sumo Logic Dojo AI. Unlike a traditional agent, it doesn’t launch queries or carry out actions on its own. Its purpose is to narrate, not act. In doing so, it becomes the foundation for every other decision in the dojo.

Scale Chaos Engineering with Automation and AI

Chaos Engineering and Fault Injection testing have been proven to prevent outages, increase availability, and help companies avoid costly downtime. But without the right processes or tools, they require specialized knowledge, a deep understanding of systems, and manual effort for every test. To fully realize the benefits of Chaos Engineering, testing needs to be adopted across all engineering teams without causing a lift or investment that takes away from roadmap progress.

Optimizing GPU Efficiency and AI Costs with Pepperdata

As AI workloads explode, platform owners face an increasingly common challenge: a massive gap between GPU demand and supply. Pending workloads, idle GPUs, and rising costs make it harder than ever to scale AI efficiently. In this video, we explore how Pepperdata.ai helps enterprises regain control of their GPU environments with two breakthrough solutions: Demand Optimization – Get granular visibility into GPU usage across your entire infrastructure. Identify inefficiencies, balance supply and demand, and uncover hidden capacity.

Beyond the Horizon: AI vs Cybercrime - How Generative Tech is Changing the Cybersecurity Landscape

In this episode, we dive deep into the intersection of artificial intelligence and cybersecurity with two industry veterans: Nicole Reineke, Senior Distinguished Product Leader and AI strategist, and Will Ledesma Director of N-able’s MDR team. Together, they explore how generative AI is transforming phishing attacks, why trust remains the ultimate defence, and what organisations can do to stay ahead of increasingly sophisticated threats.

Vietnam: Southeast Asia's Emerging AI Powerhouse - Cost, Talent, and Opportunity

As artificial intelligence (AI) reshapes industries and economies worldwide, AI integration is becoming a cornerstone of digital transformation. Across Southeast Asia, Vietnam stands out - not merely as a cost-efficient outsourcing destination, but as a fast-rising innovation hub where technology, talent, and opportunity intersect. Backed by supportive government policy, foreign investment, and a rapidly expanding tech workforce, Vietnam's emergence as an AI powerhouse feels both strategic and inevitable.

DORA is right: AI is an amplifier, for better or worse

The 2025 DORA report just surveyed nearly 5,000 technology professionals and delivered a verdict that should reshape how you think about AI investment: AI doesn’t create organizational excellence; it amplifies what already exists. For teams with solid foundations, AI is a force multiplier. For teams with broken processes and dysfunctional systems, AI magnifies the chaos.

Civo Navigate London 2025: Sovereignty & AI Highlights

We’re back from Civo Navigate London! Our seventh in‑person conference where sovereignty meets AI. Attendees walked away with fresh workshops, bold talks on data sovereignty, and hard‑won insights on how the cloud must evolve. Real‑world AI demos, cutting‑edge AI talks and authentic collaborations proved the cloud’s future is now. Conversations that turned into collaborations, governments asking the hard questions and developers swapping playbooks. The cloud isn’t a monolithic wall; it’s a thriving community that builds, learns, and defies the status‑quo.

AI-Driven IT Cost Management: Aligning Spend with Strategic Value

Optimizing IT costs is now the top priority for IT teams, according to Ivanti’s 2025 Technology at Work Report. Our survey found that cost optimization was cited as a critical strategic goal for 2025, outranking improving cybersecurity, investing in infrastructure and deploying AI / ML technology.

Kubernetes For AI: The CTO's Guide

Kubernetes began as a tool to help teams keep thousands of microservices running without falling apart. It gave them a way to schedule workloads, recover from failures, and scale services without constant firefighting. Now, AI has brought back the same chaos, only magnified. Training jobs sprawl across GPUs. Inference traffic spikes without warning. Pipelines stretch across clusters, clouds, and compliance boundaries. Left unchecked, it can break both your workload and cloud budget.

The AI Productivity Paradox-and How We're Solving It

There’s a striking disconnect happening in software development right now. According to the 2025 Stack Overflow Developer Survey, 84% of developers are using or planning to use AI tools in their workflows. Over half of professional developers are using AI daily. The adoption is real, it’s fast, and it’s accelerating.

Building Smarter: How AI is Changing Development

The tech industry is on the cusp of a revolution, driven by the rapid adoption of AI and Gen AI. At Civo Navigate London 2025, Josh Mesout (Chief Innovation Officer at Civo) explored the ways in which enterprises are leveraging these technologies to drive productivity and innovation. The conversation highlighted the challenges of scaling and running AI, including infrastructure bottlenecks and data access issues, but also showcased the potential for AI to transform industries and business models.

Progress Without Control in the Age of AI and Compliance

There’s growing unease in the database world regarding delivering at speed, raising the question – just how do we keep up with the pace of change without losing control of the things that matter most? AI is rapidly transforming the mechanics of how code is written, reviewed, and optimized which in-turn, increases the risk of destabilization.

Building Intelligent Search: A Tutorial on Aiven for OpenSearch and Vertex AI

Aiven for OpenSearch is a fully-managed service that provides an ideal way to run OpenSearch on Google Cloud. It is designed for companies looking to operate search applications without taking on the burden and complexity of self-managing the infrastructure in the cloud. Running on Google Cloud, the service is built upon core infrastructure like Google Compute Engine, Google Cloud Storage, and Private Service Connect.

How WWT Proves the Value of Agentic AIOps with LogicMonitor's Edwin AI

Agentic AI has entered day-to-day operations. Systems with the ability to act, learn, and adjust are already cutting noise, speeding remediation, and giving engineers time back for work that moves the business. In a recent webinar, Karthik SJ, General Manager, AI at LogicMonitor, and Mike Cervasio, Global Practice Manager, AIOps at World Wide Technology, explored what makes this new phase of AIOps actionable.

The Agentic Enterprise Needs a Nervous System

Over the weekend, when Salesforce introduced the concept of the Agentic Enterprise, it wasn’t defining a new market trend. It was signaling an inflection point. A moment when the conversation about artificial intelligence stopped being about tools and started being about trust. For the first time in decades, enterprise software isn’t simply enabling decisions. It’s making them. Systems are reasoning, choosing, and acting in real time across sprawling digital ecosystems.

Bridging partners in pursuit of agentic AI - Part 2: How leaders can position themselves for the future

From ecosystem foundations to future advantage In Part 1: Why partnerships matter for enterprise intelligence, we explored how enterprises are moving from experimentation to scalable impact with agentic AI and how ecosystems make that possible. But naturally, the next question is: Where do we go from here?

Why Every Developer Needs Their Own AI Knowledge Base (It's Easier Than You Think)

Ever feel like you're drowning in documentation scattered across Confluence, Slack, Jira, and Git commits? Kyle Fransham, Senior VP of R&D at Superna, shares why every developer should run their own local LLM and shows you exactly how to do it. In this GitKon talk, Kyle reveals how to turn your personal "master document of knowledge" into a queryable AI assistant running directly on your laptop. No cloud dependencies, no organization bottlenecks...just your own development copilot that understands your unique workflows, tips, and tribal knowledge.

AI Agent for Incident Resolution: Combining Intelligence with Autonomous Actions

Incident management is a high-stakes function. IT operations teams and SRE teams may play different roles, but when a priority incident surfaces, it is often all-hands-on-deck to ensure it is resolved in minimal time. That’s because of the high impact of incidents-if not resolved in time, they can cascade and impact other IT systems, leading to downtime, business disruptions, monetary losses, and impacting brand value, compliance, and regulatory rules.

The Future of AI: How Civo is Democratizing Access to Advanced Infrastructure

The world of cloud computing is undergoing a significant transformation, driven by the rapid adoption of Artificial Intelligence (AI). As AI continues to evolve and improve, it's becoming increasingly clear that access to advanced AI infrastructure is crucial for businesses to remain competitive. During Civo Navigate London 2025, Josh Mesout spoke about the importance of of AI for the future of cloud computing and how Civo is working to democratize access to advanced AI infrastructure.

AI-Powered Translation Tools: A Hidden Asset for Scaling DevOps Globally

DevOps or development (Dev) and IT operations (Ops) teams are no longer confined to single geographic locations or language groups. With over 80% of organizations now practicing DevOps (a figure projected to reach 94% in the near future), the challenge of scaling operations globally has never been more critical. Yet, one persistent bottleneck continues to slow down even the most sophisticated DevOps workflows: language barriers.

AI Software Development Solutions: Transforming Modern Business

Artificial intelligence is no longer a futuristic concept-it has become a critical driver for businesses across all industries. Companies that embrace AI can streamline operations, unlock valuable insights from data, and innovate faster than their competitors. By leveraging ai software development solutions, organizations can automate routine tasks, accelerate product development, and improve decision-making. These solutions are increasingly central to digital transformation strategies, giving businesses a competitive edge in a rapidly evolving marketplace.

Bridging partners in pursuit of agentic AI - Part 1: Why partnerships matter for enterprise intelligence

The pace of change in AI development has been dizzying. In just a few years, we’ve moved from experimenting with AI, machine learning (ML), retrieval augmented generation (RAG), and agents to asking how these innovations can solve real business problems. Enterprises are no longer impressed by the novelty and possibilities; instead, they expect outcomes.

Regain Control and Visibility of All IT Assets Across Your Organization

When you don’t have reliable processes for managing IT assets, you can quickly lose control. Asset inventories lose their accuracy, data across tools like CMDBs and spreadsheets stops matching reality, and no one can say with confidence what equipment is in use, where it’s located, how it’s connected, and whether it’s still needed. For data center professionals, a lack of asset visibility creates real risks.

Why GPUs accelerate AI learning: The power of parallel math

What makes GPUs so crucial for AI workloads? Is it just about raw processing power, or is there more to it? As we explore the world of AI infrastructure, understanding the role of GPUs is essential. Let's dive into the math behind AI. At its core, AI is all about mathematics, and matrix multiplication is a critical component. Whether you're training a model to recognize images or predict outcomes, the data is converted into massive arrays or matrices of numbers.

Demo of Raygun's remote MCP

This Raygun remote MCP demo highlights the new depth of context available. The agent isn’t just fetching error lists. it’s reasoning through stack traces to find the issues. Combine this with the ability to now view associated deployment versions, browser information, breadcrumbs, customer data and more, the agent becomes infinitely more capable at solving errors. We’ve even heard of some of the early testers going from having errors in production to having them solved within minutes.

Data Sovereignty in the Age of AI: A Conversation with Kelsey Hightower and Mark Boost

Join Kelsey Hightower and Mark Boost at Civo Navigate London as they discuss sovereignty in the context of AI and cloud computing. The conversation highlights the need for a more nuanced approach to cloud computing, one that balances the benefits of public cloud with the need for control and sovereignty. The discussion emphasizes the importance of open protocols and the role of the community in driving innovation, and notes that the adoption of AI workloads is driving a shift towards more decentralized and sovereign cloud architectures.

Bridging the Gap Between Customer Support and Data Intelligence in Modern Operations

Customer support and operational data used to live in different worlds. Support teams handled people and conversations, while operations focused on systems and uptime. But those worlds are no longer separate, and pretending they are only slows things down. A spike in complaints might point to a backend issue. A confusing interface can trigger more tickets than any automated alert ever could.

Early Market Clues: How Real-Time Activity Shapes Trading Decisions

Most traders rely on lagging indicators, metrics that confirm trends only after they've occurred. As Investopedia explains, these indicators "reflect the outcomes of past events," leaving traders a step behind when momentum shifts. In contrast, leading indicators point to potential moves before they appear in price data - the kind of foresight that separates anticipation from reaction.

Software Maintenance in 2025: How AI & Automation Are Redefining Support

Software maintenance is no longer a reactive patching procedure in 2025. Rather, it is a predictive discipline that involves continuous enhancement and supports automation and AI. It helps in lowering toil and hardening release velocity without decreasing reliability. When you continue to consider maintenance as 'turning the lights on,' you are losing uptime, money and developer attention.

AI-Native Software Delivery: Proven Practices to Produce High-Quality Software Faster

AI for Development Isn't New. AI for Delivery Is! AI coding assistants have transformed how teams create software. But innovation only delivers business value when code moves quickly and safely from commit to production and into customers' hands. In AI-Native Software Delivery, Harness Field CTO Nick Durkin and DevOps veterans Eric Minick and Chinmay Gaikwad present a practical guide to applying AI across the entire software delivery lifecycle.

Protecting Production from a VP

The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.

The Hidden Barrier to Network Automation Isn't Your AI - It's Your Data

For years, the promise of AI-driven network automation has loomed large. Vendors and analysts alike have painted a future where autonomous operations handle outages before they happen, root causes are explained instantly, and teams finally escape the endless cycle of alerts, tickets, and manual troubleshooting. But in practice, most automation initiatives stall long before they reach that vision.

From court to code: Build an agentic RAG assistant with Elasticsearch

Want to see what it really takes to build a smart AI assistant? How about one that can help you make the right fantasy basketball picks? In this live session, we’ll demonstrate how to instantly activate and ground a high-performance AI agent using the Elastic Agent Builder, and we’ll show how it powers real-world use cases like smarter player picks. Join JD Armada, developer advocate, for a 20-minute live coding session to learn about.

A Launch Day in the Life with AI Teammates

Alex, an SRE at Greenagonia, starts the day knowing there’s a big launch coming. Pre-orders suggest a 5-10x increase in normal traffic, which means coffee needs to be extra strong this morning. As Alex scans through overnight alerts, he realizes he’s completely forgotten about a dentist appointment that overlaps with his upcoming on-call shift. Six months ago, this would have meant frantic Slack messages or at least one phone call. Today? Alex’s AI teammate has it covered.

What is autonomous validation? The future of CI/CD in the AI era

Over the past decade, CI/CD has redefined how modern software is built and shipped. CircleCI has been a leader in that transformation, working alongside the world’s best engineering teams to build a reliable foundation for continuous delivery at scale. Today, those foundations are under new pressure as AI reshapes every aspect of the delivery cycle. Developers are producing more change with less certainty about what those changes touch.

Simplify Infrastructure Management with Puppet AI Infra Assistant #puppet #aiops #itautomation

Effortlessly access vital infrastructure data with Puppet Infra Assistant. Ask questions in natural language and get instant, contextual answers - no Puppet expertise required. Streamline operations, eliminate bottlenecks, and empower your team with self-service insights.

AI at Scale: Developer Productivity & Engineering Excellence w/ Adeeb Valiulla | ShipTalk S4E4

How do you measure engineering excellence in the age of AI? In this ShipTalk episode, Dewan Ahmed talks with Adeeb Valiulla, leader of Developer Productivity & Efficiency at Harness, about redefining productivity beyond dashboards and vanity metrics.

The Complete Guide to Creating AI Fashion Models for Your Brand

The fashion industry is undergoing a digital transformation, and AI fashion models are at the forefront of this change. These photorealistic digital avatars allow brands to showcase clothing, accessories, and footwear without the need for traditional photoshoots-saving time, reducing costs, and increasing scalability.

How Predictive Models Improve Test Prioritization and Efficiency

The software development cycles are becoming shorter, and the test suites are becoming longer. What used to be a days-long validation process can now be days long, not due to inefficient teams but due to the sheer size and complexity of the modern applications. Each new release introduces more regression cases, and it is just not sustainable to run them all, every time.

Introducing Braintrust: The exclusive network of engineering leaders shaping the future

In an era of unprecedented change, the role of an engineering leader has never been more demanding. Yesterday’s priority was scaling teams, while today’s is twofold: deploying AI responsibly and measuring the true impact of it all. The challenges are immense, and for the first time in a long time, the playbook is being written in real-time. That’s why today, we are thrilled to announce the launch of Braintrust, a new community from Cortex.

Agentic ITOps: The evolution of AIOps

Enterprise IT departments are struggling to keep up with the dramatic increases in complexity, fragmentation, and chaos in their IT environments. Legacy tools and processes designed for monolithic systems and static infrastructures cannot meet these challenges. Enterprise ITOps requires a more agile and intelligent approach that leverages advances in AI and automation to remain scalable, effective, and sustainable.

AI in the UK: A Panel Discussion on the Future of Artificial Intelligence

Join our AI panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik, as they come together to explore the rapidly evolving landscape of artificial intelligence. The conversation delves into the real-world applications of AI, its future trajectory, and the critical considerations surrounding security, privacy, and responsible AI practices.

Bring Warmth to Your Photos with AI Hug Generator Free

Photos have a special way of capturing moments, but they often lack the emotional depth and connection of the real experience. Imagine a photo of two loved ones-static, frozen in time. What if that image could come alive with a warm embrace, making the memory feel even more vivid and heartfelt?

Understand how AI is affecting your engineering team with Cortex's AI Impact Dashboard

Rolling out a powerful AI tool like GitHub Copilot is a big win for any engineering leader. But because it’s such a significant investment, leadership will inevitably ask if it was worth the cost. Until now, answering this was nearly impossible. While GitHub provides adoption stats, connecting that data to real-world performance metrics like cycle time or code quality has been a manual, frustrating process. We built the Cortex AI Impact Dashboard to provide a clear answer.

Announcing the AI chief of staff for engineering leaders

You see MTTR creeping up, but you don’t know why. You could ask your teams, but that means meetings, pulling people off projects, and waiting days for answers. What if you could just…ask? We’re excited to introduce the new strategic AI chief of staff for engineering leadership, powered by the Cortex MCP. By connecting your Engineering Intelligence data with your scorecards and standards, the MCP allows you to have a strategic conversation about your organization’s performance.

Built for More: Unlocking a Sovereign and AI-Driven Future

Join us as Civo's leadership team, including Mark Boost, Deshish Majrekar, Kelsey Hightower, and Josh Mesout, come together to share their vision for a new kind of cloud that prioritizes data sovereignty, simplicity, and flexibility. This session explores the challenges of traditional cloud infrastructure and how Civo is addressing them with its cloud native platform. Civo's Flex Core private cloud solution is also showcased, highlighting its applications in various industries, including cybersecurity and advanced materials design.

Towards specialized efficient LLMs: Data Scaling Laws and Sparse Adapters

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.

The Anti-Zombie, Battle-Tested Guide To AI FinOps: 10 Insights

When CloudZero’s CTO Erik Peterson joined the FinOps Weekly podcast in October 2025, he didn’t hold back. Instead of going on about the usual best practices of AI cost optimization, he posed challenges to how we approach AI spending. From “zombie AI experiments” eating your budget to why you should stop apologizing for using AI, these 10 insights from the podcast are worth considering in how we approach AI FinOps. (Watch the full podcast below and keep reading for more!)

Rolling Out AI Application with Confidence: How Nexthink's AI Drive + Adopt Makes AI Compliant, Insightful, and Effective

From Microsoft Copilot to ChatGPT, AI applications are quickly becoming everyday workplace tools. But for many organizations, turning on these capabilities isn’t as simple as flipping a switch. Enterprise licenses for AI tools can cost millions, yet few companies can confidently say employees are using them effectively, or safely. The reality is that most AI rollouts start strong but stall fast.

Could AI Turn Back The Clock On IT Departments?

I recently wrote about the impending SaaS crisis, driven by companies’ newfound ability to use AI to build software they used to have to buy. I predicted this phenomenon would make it even harder for SaaS vendors to drive growth, and that elite SaaS margins would fall from the mid-70s to the mid-60s as companies leaned more into their data and AI.

Building LLM agents to validate LangGraph tool use and structured API responses

Transitioning LLM agents from intriguing prototypes to reliable, production-grade solutions introduces a unique and significant challenge: the inherent stochasticity of LLMs. Unlike conventional software, where inputs predictably yield precise outputs, an LLM’s response can exhibit variability even when presented with identical prompts. To ensure the dependability of your LLM agent, you will need a rigorous validation strategy.

Industry Reports Agree: DevOps is the Key to Unlocking AI's Potential

Recent industry research shows that AI is accelerating code creation, but having mixed results downstream. They also show that better platforms and pipelines yield better outcomes for teams adopting AI for coding. Every engineering leader I talk to is asking the same questions about AI coding assistants: How much faster can we ship? How much more productive can my developers be? On the surface, the answers look pretty good.

Break production less with AI code review

Prod is down, the errors feed is on fire, and your code is to blame. You’ve got the info you need to debug, but it would’ve been nice to have before you shipped this mess. In this workshop, we’ll do a complete walkthrough of Sentry’s new AI code review features. This workshop will cover: How Sentry predicts errors to save you from shipping high-impact bugs Using Ai-powered PR review instead of making your teammates search for every typo Getting AI-generated unit tests that cover your changes and catch potential issues.

Introducing Magellan: The AI data engine that builds your IDP

Building a catalog used to be a project. It meant months of tracking down owners, untangling dependencies, and manually piecing together a picture of your architecture. It was a tedious, thankless process that delayed the value of your Internal Developer Portal (IDP) before you even got started. Now, it’s a coffee break. We’re excited to introduce Magellan, our new AI-powered data engine designed to build your catalog and get your IDP live in minutes.

A new era for your developer portal: The Cortex MCP is now generally available

Here's a scenario every on-call engineer knows too well: a critical incident fires for a service you’ve never seen before. Your first ten minutes are a frantic scramble across wikis and Slack channels just to answer the most basic questions: Who owns this? What does it do? Where are the runbooks? By the time you’re oriented, the incident has escalated.

AI-First: Agentic AI needs a new architecture

At Cribl, we’ve talked a lot about epochs. A moment in time when there was a before and after. AI, and specifically agentic AI, is an epoch. The way we work is going to forever change. There have been many such events in our lifetimes: the PC, the Internet, and the smartphone. AI will change how we work forever. Prior to the PC, there were people whose jobs were literally titled “computer”.

The Rise of Agentic AI - From Assistance to Action

Enterprises are prioritizing digital transformation and agility, yet most lack the structural readiness for what's next. When 95% of financial services professionals believe there's little to no risk in delaying system modernization, even as the UK's FCA issued over £319 million in fines for non-compliance in just six months, it's clear many are mistaking surface upgrades for true adaptability.

Observability in Fraud Detection: How Transaction Monitoring Tools Can Help Spot Money Laundering

In today's increasingly digital financial landscape, transaction monitoring has become a critical component of global fraud detection strategies. As financial crimes evolve in complexity, institutions must strengthen their ability to detect anomalies and uncover suspicious activity before it causes damage. Observability, a concept long used in IT and data operations is now emerging as a powerful approach for improving visibility into complex financial transactions.

How 1Security Helps Businesses Strengthen Microsoft 365 Security and Compliance

In today's hybrid work environment, organizations rely heavily on Microsoft 365 to store sensitive data, enable collaboration, and support daily operations. However, as digital ecosystems grow more complex, maintaining visibility, compliance, and security becomes increasingly difficult. That's where 1Security steps in - a company that delivers AI-powered tools built specifically to help businesses manage and protect their Microsoft 365 environments.

How AI is Revolutionizing Construction: The Electrical Estimating Game-Changer

Picture this: It's 9 PM, and you're manually counting fixtures on PDF drawings for the third time this week. One missed device could blow your entire project margin. This scenario is driving the urgent need for advanced electrical estimation software that can automate these tedious processes. Sound familiar?

How VMEG AI Makes Video Translation Easy for Global Content Expansion

Video is a powerful and engaging medium for communication. It is now widely used for marketing, education, tutorials, webinars, and more. Whether it's a short-form clip or a feature-length content, video breaks traditional communication barriers. It captures attention via multimedia elements, driving engagement and conversions. In fact, research shows that more than 80% of all online traffic, and over 72% of viewers, prefer watching content in their native language. That's why video translation is essential for global content.
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A Developer's Guide to Improving AI Code Reliability

You've probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and... it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

How engineering leaders can adopt and lay the foundation for AI with confidence

AI is transforming how software is written and operated. Every day, engineering teams are discovering new ways to accelerate development, reduce toil, and push the boundaries of innovation. But this acceleration makes it easy to forget a fundamental truth: speed without guardrails creates risk, especially when implementing the AI-powered tools that dominate today's news cycles.

The future of IDPs in an AI-first world

Over the last few months, I’ve had countless conversations with my peers about one topic: the rise of AI coding assistants. I know this isn’t exactly breaking news, and I’m sure you’ve had these conversations as well. But there’s a reason the common coffee chat today is 10 percent small talk and 90 percent about the AI-first world that we live in. Tools like GitHub Copilot, Cursor, and Devin are fundamentally changing how we write software.

From Idea to Deployment: How To Build a Practical AI Roadmap

AI is being adopted at a faster rate than ever across the business world. According to Stanford, 78% of organizations had implemented AI in some form by 2024. And if that’s not convincing enough, 92% of companies plan to expand their AI investment over the next three years. Practically everyone, including your competitors, is already using AI to gain a competitive edge. If you don’t act soon, there's a real risk of falling behind.

The True Cost of Alert Fatigue: Why AI Incident Management Matters

In modern IT environments, monitoring tools are designed to keep businesses safe, reliable, and always on. Yet the flood of alerts generated by these systems often creates more harm than help. IT teams are inundated with constant notifications, many of which are duplicates, low-priority issues, or false positives. Over time, this leads to alert fatigue, a state where staff become desensitized and critical incidents slip through the cracks.

Stop Duplicate Alerts From Overwhelming Your On-Call Teams

Being on-call is one of the toughest responsibilities in IT. Engineers must be ready to respond at any hour, often balancing the stress of urgent incidents with everyday operations. But nothing drains energy faster than duplicate alerts. When one problem triggers dozens of notifications across different devices or monitoring tools, on-call teams spend valuable time sifting through noise instead of resolving the real issue.

Big Week at Logz.io: Major Product Announcements Signal New Era of AI-First Observability

Four months ago, we announced our vision of AI-first observability. Today, we’re not just talking about the future, we’re shipping it. This week marks a significant milestone with several major product announcements that demonstrate our continued momentum as the industry’s leading AI-first observability platform.

Make It Move You: Crafting Believable, Cinematic Stories with Sota Video AI

Every project begins with a fork: should your video feel physically "true," or should it look irresistibly cinematic? You can force one engine to pretend it's both-but that's where projects stall, budgets swell, and credibility slips. Sota Video AI takes a different approach. It gives you a focused, side-by-side choice between two world-class engines-Sora 2 for physics-grounded realism and Veo 3 for cinematic expression-plus clear recommendations so you can pick with confidence. Guidance without autopilot. Power without opacity.

AI Avatar Business Assistant: Revolutionizing the Way You Work

In the fast-paced world of business, staying ahead often means embracing cutting-edge technology. One such innovation that's transforming workplaces is the AI avatar business assistant. These digital helpers are not just futuristic gimmicks-they're practical tools that can streamline operations, enhance customer interactions, and boost your brand's image. Imagine having a virtual assistant that not only performs tasks but also represents your business with a personalized, human-like presence.

Navigating AI transformation ft. Meg Adams, Senior Director of Engineering at The New York Times

In this episode of The Confident Commit, Rob Zuber sits down with Meg Adams, Senior Director of Engineering at The New York Times, for a deep dive into leading engineering teams through the AI revolution while staying true to organizational mission. Meg shares how the Times approaches AI adoption with a "measured but focused" strategy, emphasizing experimentation and opinion-formation over mandates, and why she believes AI serves as a force multiplier for what already exists in your organization and workflows.

Micro Lesson: Sumo Logic Dojo AI Summary Agent

In this video, we'll introduce the new AI powered Summary Agent to help security teams using Cloud SIEM understand and prioritize cybersecurity insights in a faster and more efficient manner. The summary agent provides AI generated summaries of the component signals within an insight, giving analysts a clear view of the underlying evidence without having to spend time reviewing raw logs or multiple events individually. The summary agent is part of Sumo Logic's new Dojo AI platform, featuring a number of useful AI agents across all Sumo Logic products and services.

The new AI-driven SDLC

For decades, the software development life cycle (SDLC) has been the framework teams use to understand how software moves from idea to production. It breaks complex work into familiar phases: planning, design, development, testing, deployment, and maintenance. This structure gave organizations a shared way to coordinate teams, track progress, and build with confidence.

Discover if your devices are ready for Windows 11 with Almaden's AI power

With Collective IQ and Alma Predict, your IT team can instantly forecast whether existing devices will deliver a good user experience after migrating to Windows 11. What once required hours of manual analysis is now done automatically with AI — ensuring proactive decisions, compatibility, and continuous productivity. The future of IT management has already begun with Almaden. Talk to our specialists and request your personalized demo.

Beyond Surfer SEO Tool: Finding the Right Solution for Enhanced SEO and Content Optimization

As the digital landscape becomes more competitive, businesses are on a constant quest to optimize their content for search engines more effectively. Surfer SEO has been a notable tool in the industry, helping content creators and SEO professionals enhance their pages for better visibility. Nevertheless, the evolution of search engine algorithms and the diverse needs of businesses mean looking beyond a single tool. Exploring other platforms can unveil a myriad of features that might be more aligned with specific goals and strategies.

The Citation Titans: A Chicago-Style Showdown You Can't Miss

Picture this: You're 3AM-deep into a 15-page anthropology thesis when your footnotes mutate into hieroglyphics. Enter Koke AI -the Chicago citation generator that moonlights as an academic superhero. But how does it stack against rivals like BibGuru and Grammarly? Buckle up for a no-holds-barred comparison dripping with caffeine-fueled insights.

How image generation models are creating new infrastructure demands for DevOps teams

The rapid adoption of generative AI has moved far beyond research labs and creative studios. Image generation models, in particular, have become critical components in content production pipelines, marketing platforms, design workflows, and enterprise applications. What began as a novel way to create digital art has evolved into a class of workloads that behave very differently from traditional web services.

Vibe Coding: Closing The Feedback Loop With Traceability

I have begun to truly embrace vibe coding over the last few months, using Cursor as my main code editor and Claude Sonnet 4 for my agent's LLM. It's an exciting time as a developer, we get to experiment with something that promises to 100x our productivity while pioneering the new workflows and strategies for implementing these tools. But, as most people who have done any extensive development with LLMs in a sufficiently sized code base knows, it's a bit like trying to herd scared cats.

Top 9 LLM Observability Tools in 2025

Organizations are adding GenAI to their current and future architectures and product roadmaps, requiring Ops teams to ensure LLMs are accurate, fast, secure and cost-efficient. LLM observability tools directly addresses these needs, helping identify and prevent common LLM errors and issues: LLM observability provides the telemetry data for this analysis. LLM observability tools trace requests end-to-end, evaluate outputs, and correlate quality with latency, cost, prompts, tools, and data sources.

3 real-world generative AI strategies for executives

Everyone is excited about AI, but few companies have successfully implemented it. While enthusiasm for generative AI (GenAI) has helped accelerate AI adoption across enterprises, the promises of artificial intelligence have yet to translate into measurable impact on most organizations’ bottom lines. The trouble isn’t the tech — it’s a lack of executive ownership.

Cloud parity, AI, and sovereignty: what we announced at Civo Navigate London 2025

If you could run public and private cloud like they were the same place, what would that unlock for your teams? That was the core message of our Navigate London keynote, and it matters just as much to readers in Singapore or Seattle as it does to those who joined us in person. For years, the industry has made you choose. Public cloud on one track. Private cloud on another. Different APIs, different skills, different bills, and a rewrite every time you move.

Agentic AI Explained: How Autonomous Systems Are Changing Cybersecurity

Discover how agentic AI enhances cybersecurity by augmenting security teams’ existing security tools and workflows. See how Retrieval-Augmented Generation (RAG) enables faster threat detection, streamlined investigations, and smarter incident response — empowering SOC teams to work more effectively. Join cybersecurity experts Lisa Jones-Huff and Mohammed Anas Khatri to discover how agentic AI can help your security team multiply its impact.

AI-powered observability: Resolve incidents faster, reduce alert fatigue, and expand access

When an incident lands in your lap, you’ll often start with a lot of questions: Why is latency so high? What’s causing this outage? How much money are we losing at this very moment? The uncertainty—and the pressure to quickly find answers—has always been one of the more nerve wracking parts of being an on-call engineer, but it doesn’t have to be that way any more.

Testing AI Code in CI/CD Made Simple for Developers

Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven’t seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI.

Building and deploying a Python MCP server with FastMCP and CircleCI

Extending Large Language Models (LLMs) with custom tools has become increasingly valuable in today’s AI landscape. Model Context Protocol (MCP) servers provide a standardized way to connect external tools and resources to LLMs. This can enhance their capabilities beyond basic text generation. While thousands of pre-built MCP servers exist, creating your own allows you to address specific workflows. You can implement use cases that off-the-shelf solutions cannot handle.

Enhanced multi-modal Ask Zia, AI-powered workflow builder, guided tours, and more

We've rolled out our biggest GenAI release for the cloud version of ServiceDesk Plus. Explore the enhanced Ask Zia that now sports an LLM-style interface, and the new GenAI-powered workflow builder that can move your workflows from concept to execution in minutes. Plus, learn how to connect the on-premises version of ServiceDesk Plus with over 40 telephony providers that help your support teams place and receive calls directly within the application.

Ep 13: Everyone is winging it: Hope for an AI future

In this episode, we welcome Naomi Buckwalter, Sr. Director of Product Security at Contrast Security, to chat about the evolving landscape of security threats and the dual role of AI in both facilitating and combating these challenges. We explore the increasing sophistication of modern phishing attacks and discuss how security teams must rapidly adapt to stay ahead of emerging threats. We debate the transformative impact of AI on the future job market, where personal qualities and soft skills may increasingly take precedence over traditional technical competencies.

Versatile Automation: Applications of AI Across Different Sectors

From small and medium-sized enterprises to larger corporations, virtually all industries are asking their staff to work faster, do more with less, and keep up with an ever-increasing amount of work, accelerated timelines, repetitive or manual tasks, complex systems and data-intensive workloads in the digital age. The result? Oftentimes higher profits, but with greater risks of stress, frustration, and even lower quality customer service.

How Redgate's Foundry is Shaping the Future of Database Innovation with AI

Learn how Redgate’s Foundry drives AI innovation in database management - from intelligent monitoring and ML-based automation, to smarter SQL optimization. In today’s rapidly evolving database landscape, innovation is essential. With the rise of artificial intelligence (AI), machine learning (ML), and automation, database management is undergoing one of its most significant transformations in decades.

LLM Observability Explained: Prevent Hallucinations, Manage Drift, Control Costs

Large Language Models (LLMs) are transforming how businesses interact with users, automate workflows, and deliver insights in real time. But as powerful as these models are, running them at scale comes with unique challenges, from hallucinations and latency spikes to cost overruns and user trust issues.

Automated RAG pipeline evaluation and benchmarking with RAGAS

Retrieval-Augmented Generation (RAG) pipelines have become an integral part of how Large Language Models (LLMs) access information beyond their training cutoff. These pipelines enable LLMs to deliver current, accurate, and grounded responses. By fetching relevant external documents, RAG mitigates common LLM challenges like factual inaccuracies and hallucinations. However, this methodology introduces a new complexity: evaluating RAG pipeline performance is particularly challenging.

Bridging the Language Gap: AI Tools That Humanize Technical Content for Global Teams

Working on a global team can be exciting. You get to collaborate with people from different cultures, time zones, and perspectives. But it also comes with challenges-especially when technical content doesn't translate well across languages. A single unclear instruction in a manual or a misinterpreted email can lead to delays, extra meetings, or even costly mistakes.

[WEBINAR] From Blueprint to Production: A Live Workshop for Creating an MCP Server for Kubernetes

In this hands-on workshop, we covered how to build your own MCP server from scratch and connect it to AI tools like Cursor IDE or Claude Desktop. The first half is a live coding session you can follow along with to set up an MCP server for Kubernetes troubleshooting. In the second half, we take you behind the scenes at Komodor to show how we built our MCP Server MVP: a powerful bridge between AI assistants and Kubernetes infrastructure. This is just part of the 'magic' that helps the Klaudia agentic AI technology power Komodor's AI SRE Platform.

AI Boom or Bust Session 3: Real-World Use Cases You Can Deploy Today

You’ve seen the vision. You’ve built the blueprint. Now it’s time to put AI to work. In this fast-paced, tactical session, we’ll showcase real-world MSP AI implementations — what’s working, what’s not, and how to adapt these examples to your own business.

7 ways AI agents are transforming software delivery

For most teams, the slowest part of delivery isn’t writing code, it’s everything that happens after: automated tests, manual reviews, bug fixes, final approvals, and the long wait for deployment. The longer these phases run, the more expensive and painful late fixes become. As AI makes it easier to generate code at scale, those bottlenecks only get bigger.

Honeycomb Observability Day SF - Kesha Mykhailov, Fin.ai: Human-Centric Observability in AI Systems

Empathy is one of the superpowers of modern teams, especially when building tools that interact with humans. This talk by Kesha Mykhailov tells the story of Fin, Intercom's Customer Support agent, and how they transformed their approach to Fin's.

Announcing Scout's MCP Server for AI-Native Monitoring!

We’re excited to introduce the Scout Monitoring MCP Server — a new way to bring AI-native monitoring directly into your coding assistant. Instead of flipping between dashboards and logs, the MCP (Model Context Protocol) server surfaces performance data, errors, and slow endpoints right where you work. Ask plain-language questions like “show me the latest five errors” and get answers grounded in live telemetry. You can even let your coding assistant propose and push fixes!

AI for Network Leaders by Selector - AI Agents and MCP by John Capobianco

AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.

AI for Network Leaders by Selector - Building Your First RAG App by John Capobianco

Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.

AI for Network Leaders by Selector - Strategic Imperatives in an AI World by William Collins

Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World William Collins, Director of Technical Evangelism at Itential, explores the strategic imperatives facing infrastructure leaders in today’s AI-enabled world. He unpacks the Gartner Hype Cycle, the true monetary costs of network downtime, and shows how Itential + Selector can close the loop on AIOps with autonomous agents and MCPs.

Exploring Smarter Approaches to Online Marketing

Online marketing continues to evolve at a rapid pace, driven by shifting consumer behavior, advances in technology, and increased competition across every industry. Businesses that want to stay relevant must adapt to smarter approaches that emphasize personalization, efficiency, and measurable outcomes. Traditional methods of simply placing ads and hoping for clicks no longer provide consistent results. Instead, successful marketers now focus on strategies that blend creativity with data-driven insights.

Reality Bytes: Our Everyday AI Use (Personal & Professional)

The Reality Bytes team is back together again! Tim, Tom, Megan, Dina and Sean swap stories of how AI has reshaped their personal and professional lives and habits over the past year—from eerie chatbot encounters and creative breakthroughs to frustrations with hallucinations and the hunt for the true “human fingerprint.”

Beyond Checklists: How Document Verification Strengthens KYC Compliance in Modern Banking

In the intricate landscape of modern banking, your institution's commitment to compliance is paramount. As regulators tighten their grip and financial crimes evolve, traditional Know Your Customer (KYC) checklists are no longer sufficient. You are tasked with safeguarding both your organization and its clients, necessitating a robust approach to document verification. Vouched - Leading Document Verification Software offers advanced solutions that surpass mere tick-box exercises, strengthening KYC efforts and ensuring your institution remains resilient against fraud and money laundering.