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Almaden CEO Leandro Silva Joins Key Discussion on the Digital Future of Business and the Role of AI

On the morning of Thursday, June 12, the São Paulo office of L.O. Baptista Advogados hosted a high-level event titled "Innovation and AI: The Digital Future of Business." The gathering brought together a diverse and engaged audience of legal and tech professionals to discuss how artificial intelligence is reshaping strategic decisions and transforming modern enterprises. Among the featured speakers was Leandro Silva, CEO of Almaden Inc., who joined a dynamic and interactive panel exploring the opportunities and challenges of using AI responsibly in corporate environments.

Going beyond AI chat response: How we're building an agentic system to drive Grafana

As we look at the role AI can play in Grafana going forward, we want to move beyond the simple chat responses that dominate the world of LLMs today and into agentic systems—AI that can understand, reason, and act on your behalf. The ultimate goal is to make it easy to get things done in Grafana using natural language—whether you’re a seasoned SRE or a new developer. And in the AI world, we call this moving from chat completion to task completion.

How Puppet is Redefining Infrastructure Management with AI, Powered by Perforce Intelligence

AI has emerged as a defining force in modern technology, spearheading transformation across industries. Yet, despite its promise to revolutionize workflows and unlock unprecedented efficiency, most DevOps organizations face significant hurdles in adopting AI safely and effectively. Concerns about complexity, scalability, and governance hold many decision makers back.

Demo Roundups! Meet the PagerDuty AI Agents

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

How we're shipping faster with Claude Code and Git Worktrees

Four months ago, Claude Code was announced and we were requesting invites to its "Research Preview." Now? We've gone from no Claude Code to simultaneously running four or five Claude agents, each working on different features in parallel. It sounds chaotic, but it's been a natural progression as we've learned to trust AI more and as the tools have dramatically improved.

AI Arms Race: How Artificial Intelligence is Both the Weapon and the Shield in Modern Cyber Warfare

Cybercriminals are no longer lone hackers sitting behind screens; they use artificial intelligence to supercharge their attacks. They employ large language models (LLMs) that generate phishing content to evade human detection. They use malware that adapts mid-execution to bypass sandbox environments and deepfake video/audio to mimic executives in real time.

Can AI/ML Guide Observability? Tech Talk #6

This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.

From Detection to Resolution: How Selector + Itential Deliver AI-Driven Observability and Automated Recovery

Every second counts when it comes to detecting, diagnosing, and resolving network incidents, yet many teams still find themselves stuck in reactive mode, drowning in alerts, manually writing scripts, and managing tickets across disconnected systems. This is where Selector and Itential come in. Together, Selector and Itential deliver a powerful, enterprise-ready solution that closes the loop between detection and action.

Integrating AI into Your Business Website

Let's start with the most obvious entry point: chatbots. These little text-box gremlins can handle customer queries, book appointments, suggest products, and provide support 24/7 without ever asking for a lunch break. They're not just helpful, they're expected. But make sure they don't sound like a malfunctioning toaster. The best chatbots are conversational, helpful, and a little bit charming. Think less "HAL 9000" and more "friendly guide who actually listens."

The Cost of Waiting: Why Operationalizing AI in IT Can't Be Delayed Any Longer

Most IT leaders already understand that AI is the future of operations, but too many are still treating it like it’s so far off. The irony? Waiting is exactly what’s costing them the most. While businesses obsess over budget cuts, resource constraints, and service quality, one truth remains: delays in adopting AI for IT operations are compounding operational inefficiencies, inflating labor costs, and stalling digital progress. AI isn’t just about innovation; it’s about scale.

Can AI/ML Guide Observability? Tech Talk #6

This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.

How to Use an AI Assistant with Your Monitoring System - VictoriaMetrics MCP Server

Alex Marshalov explores the new VictoriaMetrics MCP Server. He moves beyond the hype to show what's truly possible today. The presentation offers a builder's perspective on integrating AI with time-series data, featuring a demo that showcases both the potential and the current realities (yes, there are some). See how we're thinking about solving complex monitoring challenges with AI. Resources for Further Learning.

Beyond the code: Shipping faster with AI with Leo P.

We’re running a short mini-series on The Debrief podcast called Beyond the code, where we interview our engineers about what it’s really like to build at incident.io. In this episode, we chat with Product Engineer Leo about how we’re using AI tools like Claude Code to ship more product, more quickly.

Introducing AI Agent Monitoring

AI is changing how we build software — but debugging code still comes down to having context. One minute the model’s performance is cruising. The next, you’re hit with a KeyError from a tool you forgot existed, triggered by a model that silently timed out, and a retrieval call that returns... nothing, or 11 “Let me try this a different way" messages before failure. You’re stitching together LLM calls, agents, vector stores, and custom logic. Then hoping it holds up in prod.

Introducing AI Agent Monitoring in Sentry

Monitoring agents and LLM applications is... different. Managing everything from tool calls, to model configurations, token usage, and AI systems do their best to solve problems on their own - so errors aren't always clear. Sentry's agent monitoring focuses on making it easy to dive into your AI applications and understand whats breaking, where, so you can fix it faster.

Engineering Excellence in the Age of AI: It's Not Dead, It's Maturing

On a recent episode of The Product Manager podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI. His take? Engineering isn’t disappearing, it’s maturing. At Cortex, we work with some of the most forward-thinking engineering organizations at companies like Canva and Fanatics.

Introducing Cause Analysis: Instant Triage for Traffic Changes with Kentik AI

Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.

GPU Powerhouse: Scaling an AI Cloud in the Heart of Europe

The AI revolution needs more than models - it needs massive infrastructure. And Julien Gauthier is building it. In this episode of Uplink, Julien, CEO of Arkane Cloud, joins host Michael Reid to unpack how his company scaled from 3D rendering and gaming to delivering GPU cloud services for AI workloads across the globe. We explore how Arkane built a 1,000-GPU cluster in Paris (with capacity for 6,000), the rise of inference workloads in Europe, and the real-world engineering and business challenges of deploying high-density infrastructure - including cutting-edge liquid cooling handling 135kW per cabinet.

How Sentry's Seer AI Agent passes legal review: a guide for legal teams reviewing Seer

If your legal department is anything like ours, you’re being inundated with requests from the business to use more and more AI tools. Whether it's developers wanting to use coding agents like Cursor, to security implementing AI-driven investigations, to sales and marketing leveraging AI for call insights and competitive research, we've seen a shift in what teams are trying and buying.

Puppet Infra Assistant: AI-Powered Natural Language Queries

Finding critical infrastructure insights shouldn't be a game of hide-and-seek. The new AI-powered Infra Assistant is a natural language interface that allows users of any skill level to chat with Puppet data and services for quick insights and reporting on infrastructure state. You don't need any Puppet experience to get started; it's safe to use in your infrastructure; and it's secured with explicit opt-in and robust role-based access control.

How One MSP Used AI to Cut Noise by 78% and Reclaim Engineering Time

An operations team at one of the Asia-Pacific’s largest managed service providers (MSPs) was drowning in their own success. Years of investment in monitoring tools and automation had created comprehensive visibility—and comprehensive chaos. Engineers opened dashboards each morning to find thousands of alerts waiting, with critical incidents buried somewhere inside. The scale of the problem was overwhelming their capacity to respond effectively.

What Are Your Rights When AI Monitors Your Work Hours in Australia?

It's 2025, and your workday begins not with a handshake, but with an algorithm. AI now tracks everything from your keyboard activity to your webcam gaze, and maybe even your coffee breaks (brace yourself, caffeine lovers). But with smart machines watching over our shoulders, it's time to ask: What are your rights when AI monitors your work hours?

5 Ways to Use AI to Map Your Startup's Critical Path

Startups move fast. Every decision counts. Mapping your critical path, which includes the sequence of tasks that determines your project's timeline, keeps you on track. Interestingly, AI makes this process sharper, faster, and more precise. It cuts through complexity, spots risks, and aligns your team. This guest post breaks down a few practical ways to use AI for mapping your startup's critical path.

11 Best AI Coding Assistants: Top Tools Every Developer Needs in 2025

You’ve heard it before: ‘AI coding assistants aren’t here to replace you.’ And yes, it’s true, they’re not. They’re here to save your brain from 3 AM logic loops and the same bug fixes you’ve solved countless times. As application and database systems become more complex and timelines shrink, forward-thinking developers, data analysts, and DBAs are turning to these tools.

AI Test Generation and PR Review in Sentry (Now in Open Beta)

You write code. Open a PR. CI runs. PR merges. Prod’s on fire by 5pm. Maybe you skipped writing some tests. (It's tedious, sometimes unclear, and easy to ignore when you're racing to ship—until something breaks and you realize a test could’ve saved your Friday night.) Maybe the PR review was more of a drive-by from a teammate who barely had time to skim the diff. But reviews and tests matter.

Leading the Way in Accessible Innovation: Voice Input for the AI Platform

What if a broken arm didn't break your workflow? Follow Alice as she faces tough circumstances, but still gets the job done. Nursing a broken arm in a sling, she uses built-in accessibility features like Voice Input for Now Assist to set up the ServiceNow AI Platform for a new client—hands-free. This is how we turn accessibility into opportunity—building forward-lthinking features that solve real problems and work better for everyone.

How Cursor scaled infrastructure rapidly and reliably using Datadog

At Datadog, we use Cursor to empower our teams to build more quickly. And we know that building and troubleshooting with AI tools like Cursor is done best with the right observability data and context. Discover how Cursor was able to rapidly and reliably scale their infrastructure 100x using Datadog to meet the needs of a fast growing user base. And learn more about how we’re bring Datadog tools and context to your favorite AI IDEs and agents with our MCP Server and extensions.

The Benefits of Using Juniper's Network Monitoring Tools for IT Operations

More data means more complexities in IT networks. Hence, the right solution is needed to monitor such networks. Many companies struggle without the right tools, and they often lose great business opportunities because they are unable to identify performance-related issues upfront. Network monitoring is thus essential for business success. It helps build healthy network performance, saving companies money in the long run.

Generating Playwright Tests With AI: Let's Try the New Playwright MCP Server!

In this video, Stefan (Playwright Ambassador) dives into the integration of AI with the Playwright MCP server to automate end-to-end test generation. Learn about MCP, browser automation and how to combine everything to generate Playwright tests. We'll explore AI capabilities and limits and discuss best practices for generating accurate and reliable Playwright tests. If you're curious about leveraging AI for end-to-end testing with Playwright, this video is for you!

Watch RITA (Resolve IT Agent) fix VPN issues in seconds! #itautomation #ai #agenticai

Say goodbye to ticket chaos. Meet RITA. RITA (Resolve IT Agent) is your intelligent frontline assistant—built to deflect L1 tickets, resolve routine requests instantly, and slash MTTR across the board. In this live demo clip, watch Derek Pascarella, our Global Director of Sales Engineering, show how RITA fixes VPN issues in seconds—no human handoff, no ticket backlog. Ready to fast-track your journey to Zero Ticket IT? This is where it starts.

Insights to keep AI applications reliable

AI has become a massive investment for companies. Engineering teams across industries are integrating AI into their products, whether it’s through homegrown, self-managed models or third-party model integrations. But no matter how much AI shifts the user experience, it’s still an application, which means your engineering team still needs to operate it and keep it reliable. At the same time, AI applications add complexity and complications that require a shift in your approach.

Validating OS-compatibility for locally-run LLMs using Ollama with CI/CD matrix workflows

Large Language Models (LLMs) are becoming increasingly accessible, with regular adoption of open-source models and the growing ecosystem of tools for running them locally. Compact versions are now able to run on consumer-grade hardware, so developers are using LLMs on personal devices like Linux workstations, macOS laptops, or even Windows machines. As this trend grows, so does the need to ensure that your LLM-powered applications run reliably across all major operating systems.

The Future of Auditing is Agentic AI

There is a huge amount of hype around AI. Companies are growing faster than ever, IT budgets are being redirected, and product roadmaps everywhere are being redrawn. There is no doubt LLM’s are a transformative technology. At the same time, as with any early technology cycle we are far from understanding the patterns of success. And for sure, mis-steps and bad takes abound.

Top AI business card generators in 2025

Designing a business card used to mean hiring a designer or learning complicated software. In 2025, AI-powered generators are redefining how professionals and businesses create cards-fast, personalized, and brand-aligned. These tools combine machine learning with layout logic, helping users produce polished cards in minutes. Whether you're a startup founder, freelancer, or team leader, AI-generated business cards now offer a reliable, scalable way to make a memorable first impression.

Adding AI to applications using the Model Context Protocol

Large Language Models (LLMs) are now at the cutting edge of mainstream AI systems. Their impact has been seismic, sparking a new gold rush as application developers transform the user experience away from clicks and commands into natural language and advanced automation. However, application developers have a barrier to overcome. AI models need data to reason and respond to a particular application domain.

Highlight reel: Futureproof Your AI Investment With Observability

Artificial intelligence is changing the way modern systems are built—and how teams are expected to and operate them. But as AI-driven complexity grows, so too does the need for deep, reliable, and fast visibility into what’s really happening inside our. In this timely and thought-provoking session, Christine Yen, CEO and Co-founder of Honeycomb, explores how practices must evolve to keep pace with.

Regex Log Parsing Made Easy with AI/LLM Support #opentelemetry #collector #observability

Check out the full ‪‪@bindplane community call in June. We explore Apache HTTP source and the new AI regex log parsing capabilities. We leverage a Bindplane processor for complex pattern matching, enabling efficient data processing. This guide demonstrates how to easily generate and apply regex patterns with AI support.

Smarter Data Center Capacity Planning for AI Innovation

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

GenAI: 80% Adoption by 2026... Are You Ready?

In this video, we explore the growing adoption of Generative AI in enterprise, the common pitfalls companies face, and how to build GenAI infrastructure that’s secure, scalable, and production-ready. We also introduce how relaxAI, Civo’s AI assistant, helps solve key challenges around privacy and infrastructure, giving you full control by bringing the LLM to your data.

Top tips: Fly high with AI-benefits of artificial intelligence in aviation

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll look at two ways AI is optimizing flying for the passenger as well as the airline. "Brace! Brace! Brace!" Simple request. Serious consequences. Something that could get even the most vocal atheist to start praying. Something that no one would ever wish to hear in their lifetime.

LLM Observability for Reliability and Stability: A Monitoring Strategy for Phone Communication

LLM APIs offer groundbreaking potential, but also present challenges such as response latency, hallucinations, and service instability. In Japan, where telephone communication remains crucial for business, these issues present significant barriers to the introduction of LLM-based applications. Despite being a relatively young startup, we have developed and deployed an LLM-based telephone service with over 40 million calls.

AI is now writing code at scale - but who's checking it?

As Generative AI (GenAI) reshapes the software development landscape, the risks and complexities around managing what gets built, where it comes from, and how it’s secured are growing just as fast. The Cloudsmith 2025 Artifact Management Report dives into this shift, offering critical insights into how teams are adapting their infrastructure and software supply chain security practices in response to the AI-generated code.

Securing AI with AI-SPM: The Next Step in AI Risk Management

The conversations around artificial intelligence (AI) typically revolve around its vast potential: writing applications, automating tasks, or transforming entire industries. However, despite the excitement around AI’s potential, the more pressing issue for many organizations is how to manage the risks of deploying it at scale across the enterprise. This is where AI Security Posture Management (AI-SPM) comes into play.

Why Boundeal Is Betting on AI to Improve Due Diligence Processes

Due diligence remains one of the most complex and resource-intensive parts of any major deal, be it an acquisition, funding round, or strategic partnership. Legacy tools and manual reviews often slow down the process, increase human error, and leave teams drowning in redundant paperwork. That's why Boundeal is placing a strategic bet on artificial intelligence-to change the very nature of how business-critical documents are reviewed, verified, and shared.

OCR Solutions: Key Benefits and Use Cases for Your Business

In today's digital world, businesses are increasingly relying on automation to improve efficiency, reduce errors, and streamline operations. One such technology that has gained widespread adoption is Optical Character Recognition (OCR). OCR solutions have proven to be a game-changer, allowing organizations to convert scanned documents, images, and handwritten text into machine-readable data. By implementing OCR, businesses can significantly enhance their document management systems and automate time-consuming processes.

Why Financial Reporting Software Belongs in the Modern Ops Tech Stack

Today, operations aren't just about logistics, workflows, and keeping the cogs turning; they'reabout immediatedecision-making, departmental harmony, and calculated impact. And at the center of thistransformation in operations is data Not just data, though - financial data,the lifeblood of business. Yet, too many companies continue to act as if financial reporting is the exclusive domain of the finance department, emerging only at month-end close or quarterlyreviews. But that outmoded way of thinkingalso holds businesses back.

How AI Agent Frameworks Are Reshaping IT Infrastructure in the Enterprise

The rise of artificial intelligence in enterprise settings marks a new era of productivity, automation, and operational intelligence. At the core of this transformation lies AI agent frameworks. These frameworks work for more than just developers, but are seen as the backbone of enterprise AI deployment, enhancing data-driven decisions. In this article, we will explore how AI agent frameworks are being used in IT infrastructure, why they're important for enterprise environments and how businesses can benefit from advancing technologies.

The hype is over: Generative AI is driving the evolution of search within enterprises

Discover how Accenture and Elastic are helping businesses seize the opportunities offered by generative AI When it comes to generative AI, enterprises need to think big. Shaving a few seconds off the time needed to draft an email is helpful, but the journey to real value begins when you apply AI at the enterprise level. A new partnership between Accenture and Elastic combines technical expertise and strategic excellence, enabling businesses to build the data foundations for a successful AI future.

Seer, Sentry's AI Debugger, is Generally Available

Tired of trying to guess if that half-baked LLM suggestion is really going to fix the issue with your code? Meet Seer—our new AI agent that taps into all the issue context from Sentry and your codebase to not just guess, but root cause gnarly issues and propose merge-ready fixes specific to your application. Code gen tools are great fun—and useful. But even a recent Microsoft study confirmed what you already know: AI struggles with debugging.

GitKraken Desktop 11.2: Merge Conflicts, Meet AI (and More Dev-Quality-of-Life Wins)

We’ve been steadily building something powerful into GitKraken: AI that understands your code and your context. In recent releases, GitKraken AI has already helped you: Now, in version 11.2, it’s tackling one of the most frustrating parts of your day: merge conflicts.

How SaaS Companies Can Profitably Price AI Agents

AI agents are undoubtedly exciting. What company would turn down the opportunity to use an intelligent bot that can make decisions, perform complex tasks, and take on the tedious work employees would normally have to deal with? On paper, AI agents sound like tremendous time and money-savers. The reality, however, is a bit different from the fantasy.

Are You Correctly Deploying LLMs on Kubernetes in 2025?

We are in mid-2025, and teams across industries are rolling out large language models, or LLMs, to power everything from conversational agents to document understanding. However, getting them to run smoothly in production… That’s still a challenge. A working model isn’t just about putting it in a container and tossing it into a Kubernetes cluster.

GitKraken Desktop 11.2: AI Conflict Resolution, Explained (Preview)

In GitKraken Desktop 11.2, we're introducing AI Conflict Resolution, now in Preview. This update lets GitKraken AI suggest context-aware merge resolutions and explain its decisions, helping you resolve conflicts faster and with more confidence. We've also added hunk reverts, avatar support in the Commit Graph, and improvements to Commit Explain. Timestamps: Watch the full walkthrough, share your feedback, and stay tuned. The future of Git tooling is getting smarter.

PaperTyper.AI Review: A Smart AI Typer Built for Real College Work

There's a big difference between typing fast and actually knowing what to say. When a deadline's closing in, even the best ideas can get stuck in your head with no easy way out. That's why so many students turn to writing tools. Not because they want shortcuts, but because they're trying to keep up. PaperTyper.AI is one of those. It offers a fast, structured way to generate drafts and get ideas moving, which makes it a decent AI typer for most academic tasks.

Meet dbForge AI Assistant: Your Invaluable Sidekick That Reinvents SQL Coding

If writing SQL code is part of your daily work, you won’t be surprised by things like context-aware code completion, as-you-type syntax validation, and debugging. All of them are designed to enhance and speed up your SQL coding. But what if we said that you could completely reshape your experience with an AI-powered assistant? What if you could have your error-free queries generated, analyzed, and optimized in just a couple of moments?

Introducing Netdata Insights

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

PagerDuty Advance and Amazon Q Business announce General Availability of their AI-powered, chat-first integration

When it comes to incident management, the ability to quickly access and act on operational data can mean the difference between brand loyalty and costly downtime. PagerDuty’s integration with the Amazon Q Business index addresses this challenge head-on by providing a seamless, more secure, and faster way to search and access enterprise knowledge across the IT ecosystem.

ilert introduces Agentic Incident Response: Entering the AI-first era

Imagine incidents resolved through insights, not manual investigations. ‍ Picture an incident management future where you're never alone during critical alerts. Imagine your best engineer always available, tirelessly investigating issues, analyzing logs, correlating metrics, checking recent code changes, and delivering actionable insights, instantly. Today, ilert is stepping boldly into this future with our first intelligent agent: ilert Responder.

Tales From the Trench: Building With LLMs and Honeycomb

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

The role of network automation in AI-driven businesses

AI adoption is accelerating across nearly every industry. According to McKinsey’s 2025 State of AI report, 78% of organizations now use AI in at least one business function, up from just 55% the year prior. From real-time analytics to generative tools and process automation, AI is becoming a fundamental part of how modern businesses operate and compete.

Beyond the CMDB: How to build an AI-first data strategy to fuel agentic ITOps

The Configuration Management Database (CMDB) has been the backbone of IT Service Management (ITSM) and IT operations for years. A CMDB is a central repository that stores information about IT assets, configurations, and dependencies, enabling organizations to manage their IT infrastructure more effectively.

migrAIte by iOPEX: Reinventing RPA for the AI-Powered Enterprise

Introducing iOPEX Technologies’ migrAIte platform, enabling seamless migration from legacy RPA to NOW RPA. As a ServiceNow partner, iOPEX helps businesses cut costs, optimize workflows, and integrate AI with tools like automated discovery and text-to-code conversion—backed by real-world success and client testimonials. Follow Us on.

Edwin AI Turns One: What a Year of Agentic AIOps Looks Like

Twelve months ago, we shipped Edwin AI with a specific hypothesis that AI agents could handle the operational drudgery slowing down ITOps teams. It was a deliberate bet against the cautious consensus that AI should act only as a copilot, limited to offering suggestions. Most AIOps tools still follow that script. They’re stuck surfacing insights and stop short of action. Edwin was built differently. It was designed to make decisions, correlate events, and execute fixes.

Build an AI-powered Golang code review agent with CircleCI and GitHub webhooks

Code reviews are a crucial step in maintaining code quality, but many developers find them tedious and inconsistent. What if you could get helpful feedback automatically, as soon as a pull request is opened? In this tutorial, you’ll learn how to set up and integrate an AI-powered code review agent into your Go project. The agent uses the OpenAI API to post contextual suggestions and praise directly on pull requests.

What to Know About How Circuit Boards Are Manufactured Today

Circuit boards are the heart of nearly every electronic device, from smartphones and laptops to medical equipment and automotive systems. These compact layers of interconnected components make modern technology possible by allowing electricity to flow in precise patterns. But while circuit boards appear simple on the surface, their manufacturing process is a complex blend of advanced engineering, automation, and precision.

How AI is Helping Businesses Streamline Website Design Processes

Website design tools powered by artificial intelligence (AI) are redefining digital presence by streamlining development and enabling companies to build stunning websites. These sophisticated technologies let non-designers create professional websites by means of machine learning algorithms optimizing layouts, suggesting color palettes, and knowing consumer preferences. Using content organization and image selection, these technologies help businesses concentrate on building a strong digital presence and enhancing user experiences.

Which AI Service Providers Specialize in Modernizing Business Processes for Large Enterprises?

AI is on every business leader's lips for good reason. This game-changer can help any organization beat the competition and stay ahead of the curve. However, embracing AI is one thing, and implementing it optimally is another. You should welcome a third-party consultant early in your AI adoption journey to determine the most effective strategies to maximize it for modernizing business processes.

Ops Explained: AIOps vs. DevOps vs. MLOps vs. Agentic AIOps

There’s a common misconception in IT operations that mastering DevOps, AIOps, or MLOps means you’re “fully modern.” But these aren’t checkpoints on a single journey to automation. DevOps, MLOps, and AIOps solve different problems for different teams—and they operate on different layers of the technology stack. They’re not stages of maturity. They’re parallel areas that sometimes interact, but serve separate needs.

Elastic - The Search AI Company

You may not know it, but you probably use Elastic every day. By combining the transformative power of AI with our deep expertise in search and vector databases, we are changing what's possible with search. Our Search AI Platform empowers organizations to have a conversation with all their data, build powerful GenAI applications, immediately diagnose root causes in observability, and hunt for threats at enterprise scale.

Could your Palo Alto firewall do more to protect you against Shadow AI?

In recent months, my conversations with fellow technology leaders have consistently revolved around two key themes: how we leverage AI to drive innovation and efficiency, and how we mitigate the inherent risks associated with AI. However, I’ve noticed a concerning gap – while enterprises are busy strategizing the adoption of AI to enhance productivity, reduce costs, and outpace competitors, very few are addressing how AI is being actively used today by their own teams.

7 Generative AI Use Cases for Enterprise Reinvention and Market Dominance

Generative AI has moved beyond early-stage experiments into an emerging driver of enterprise value. By automating complex tasks, personalizing customer interactions at scale, and accelerating innovation cycles, organizations adopting Generative AI (GenAI) see measurable performance improvements. For businesses, the challenge now lies not merely in adoption but in precise alignment of AI capabilities to strategic business goals, driving revenue, optimizing costs, and mitigating risks effectively.

Lumigo Copilot AI Launches to Automate Root Cause Analysis and Remediation

Today, we’re announcing the general availability of Lumigo Copilot, the most intelligent AI-powered observability assistant on the market, built for the complexities of modern microservices. Copilot emerged from a simple realization: Distributed systems produce too much fragmented data across too many layers, making troubleshooting slow, reactive, and deeply manual. Copilot changes that.

Datadog + OpenAI: Codex CLI integration for AIassisted DevOps

We are exploring how we can help on-call engineers troubleshoot incidents more effectively by providing the OpenAI Codex agent with access to real-time observability data in terminals. We've developed an integration and new tool visualizations that connect OpenAI's Codex CLI to the new Datadog MCP server. In this post, we'll share what we've been experimenting with: enabling an AI agent to retrieve production metrics, logs, and incidents from Datadog in real time and act on that context.

Claude and Gemini Now Power My Morning Routine and Daily Journal

In 2025, artificial intelligence is more than a tool - it's a lifestyle upgrade. Every morning, I now start my day with help from Claude, Gemini, and ChatGPT - not scrolling through social media or rushing through to-dos. These AI assistants have become the backbone of my morning routine, helping me plan, reflect, prioritize, and stay sane in a hyper-connected world.

Achieving Sovereign AI with the JFrog Platform and NVIDIA Enterprise AI Factory

Sovereign AI ensures control over AI/ML data, models, and infrastructure, which is now essential for enterprises, regulated industries, and national interests. JFrog and NVIDIA have collaborated to deliver a secure, scalable solution for sovereign AI. NVIDIA provides the accelerated computing and AI software while JFrog ensures trusted DevSecOps and MLOps practices across the entire AI lifecycle, from model development and security scanning to deployment at the edge and in air-gapped environments.

Sustaining the demand for AI in Asia with investment in subsea cable infrastructure

Across the Asia Pacific region significant investment is going into new subsea cable infrastructure that will help sustain the long-term demand for AI. We’ve written a lot on this blog about the impact of AI on networks and how AI workloads require low latency, high-capacity data transfer. This in turn puts more pressure on existing network infrastructure and in particular subsea cable systems - which provide the global backbone for cloud platforms and data centres.

Canonical delivers Kubernetes platform and open-source security with NVIDIA Enterprise AI Factory validated design

To ease the path of enterprise AI adoption and accelerate the conversion of AI insights into business value, NVIDIA recently published the NVIDIA Enterprise AI Factory validated design, an ecosystem of solutions that integrates seamlessly with enterprise systems, data sources, and security infrastructure. The NVIDIA templates for hardware and software design are tailored for modern AI projects, including Physical AI & HPC with a focus on agentic AI workloads.

Beyond the code: Coffee, copilots, and building AI with Rory M.

We’re running a short mini-series on The Debrief podcast called Beyond the code, where we interview our engineers about what it’s really like to build at incident.io. In this episode, Norberto Lopes and Rory Malcolm discuss Rory's journey as a product engineer at incident.io, focusing on his experiences in the AI team and the challenges of developing the AI investigations product. They explore the engineering culture at incident.io and the impact of AI on incident management.

Automatically identify issues and generate fixes with Bits AI Dev

Developers lose hours each week to a familiar troubleshooting loop: chase down telemetry across dashboards, decipher vague errors, and juggle alerts to find the signal worth fixing. Production issues, performance regressions, and security vulnerabilities all demand attention, but they often come with little context for taking action.

Create and monitor LLM experiments with Datadog

To efficiently optimize your LLM application before pushing to production, you need a comprehensive testing and evaluation framework. By running experiments, you can optimize prompts, fine-tune temperature and other key parameters, test complex agent architectures, and understand how your application may respond to atypical, complex, or adversarial inputs. However, it can be difficult to manage your experiment runs and aggregate the results for meaningful analysis.

Introducing Bits AI SRE, your AI on-call teammate

Getting paged pulls engineers away from meaningful work, yet incident response in many organizations remains manual, reactive, and draining. An alert fires and teams scramble to find the root cause, relying on siloed knowledge, incomplete context, and a few on-call experts who are already stretched thin. The rise of AI coding agents has only intensified this challenge: As teams ship code faster with less human oversight, production systems grow increasingly complex and harder to understand.

Retail's Next Bold Move: Embracing Artificial Intelligence for the Frontline

In the fast-paced world of retail, staying ahead of changing consumer demands is more challenging than ever. As retailers strive to enhance customer experiences and maintain competitiveness, many are turning to the transformative power of artificial intelligence (AI). Zebra Technologies is at the forefront of this movement, offering AI solutions that unlock the potential of frontline operations, allowing retailers to make smarter business decisions.

Cisco and Splunk Strengthen Enterprise Digital Resilience in the AI Era

In an era where hybrid environments and AI-driven innovations redefine enterprise operations, organizations face increasing complexity, disruption, and vulnerability in their systems. To overcome this growing challenge, Cisco and Splunk are working together to harness the power of AI to help customers ensure that digital resilience is an inherent part of their systems.

Yes, Sentry has an MCP Server (...and it's pretty good)

Unless you’ve been living under a rock, “MCP” is probably a term you’ve heard thrown around in the AI space. Each of the editors and LLM providers have been racing to add and enhance their MCP support. Sentry was fortunate enough to be included in Anthropics release announcements for MCP.

The Future of IT Is Human + Agentic: How Zero Ticket IT Is Reshaping Tech Careers

Automation has always stirred up fears of job loss. For IT professionals, the conversation has only grown louder with the rise of AI. But the truth is that the future of IT is not about replacement—it’s about reinvention. For decades, IT has been defined by its firefighting: manually resolving tickets, managing endless alerts, and fielding repetitive service requests. These tasks are ripe for automation, but automation doesn’t eliminate the need for IT talent.

Optimize and troubleshoot AI infrastructure with Datadog GPU Monitoring

As organizations bring more AI and LLM workloads into production, the underlying GPU infrastructure that supports these workloads becomes even more critical in ensuring these workloads remain fast, reliable, and scalable. Inefficient GPU resource usage, for instance, can lead to longer runtimes and reduced throughput, negatively impacting overall model performance. Additionally, idle and underutilized GPUs can quickly drive up costs and lead to needless spending.

Datadog MCP Server: Connect your AI agents to Datadog tools and context

As development teams adopt AI-powered tools and build services that make use of AI agents, they want to extend their AI capabilities to incorporate familiar tools and observability data. However, AI agents struggle with regular API endpoints and frequently fail when parsing complex nested JSON hierarchies or incorrectly handling errors. As a result, these agents often fail to retrieve relevant results.

Introducing Seer: Sentry's AI Debugging Agent

There's a lot more context to an error than the message blinking in red on your screen. Seer understands the context of your application and everything behind that error. Seer collects information from the Stack Trace, Logs, Traces and Spans, Profiles, and the code from your GitHub repo and uses it to understand what's causing your issues, and propose fixes.

Introducing GitKraken MCP: AI Agents Just Got a Power-Up

With the latest iteration of the GitKraken CLI, you can now connect to a local MCP server to deliver more functionality to your agent of choice. Whether you are using GitHub Copilot, Cursor, Windsurf, or any other tool, you can now leverage the power of GitKraken’s MCP server to enhance your workflows.

DASH by Datadog 2025 Keynote

At the 2025 DASH Keynote and be the first to experience Datadog's latest product innovations. This year, we're unveiling next-generation observability features, innovative ways to secure your AI workloads, and powerful agentic AI capabilities throughout the Datadog platform. Discover the new ways your teams can observe, secure, and act in the age of AI.

Built for Impact: What Happens When LogicMonitor Edwin AI Meets Infosys AIOps Insights

Today’s IT environments span legacy infrastructure, multiple cloud platforms, and edge systems—each producing fragmented data, inconsistent signals, and hidden points of failure. This scale brings opportunity, but also operational strain: fragmented visibility, overwhelming alert noise, and slower time to resolution. With good reason, public and private sector organizations alike are moving beyond basic visibility, demanding hybrid observability that’s context-aware and action-oriented.

How IPM helped a top tech brand catch an OpenAI outage before it became a crisis

Today’s digital businesses are more interconnected than ever. Industry research shows that 74% of organizations now take an “API-first” approach, and the average application is powered by between 26 and 50 APIs. While this accelerates innovation, it also introduces new risks: when an external provider fails, the impact can be immediate and far-reaching.

You Can Build Your Own AI Agent for ITOps-But Should You?

Most internal AI projects for IT operations next exit pilot. Budgets stretch, priorities shift, key hires fall through, and what started as a strategic initiative turns into a maintenance burden—or worse, shelfware. Not because the teams lacked vision. But because building a production-grade AI agent is an open-ended commitment. It’s not just model tuning or pipeline orchestration. It’s everything: architecture, integrations, testing frameworks, feedback loops, governance, compliance.

Designing with Intelligence: The Benefits of AI in Hat Fashion Industry

Fashion is constantly advancing and one of the most promising frontiers right now is artificial intelligence's role. Imagine being able to design hats tailored perfectly for you or anticipating what styles will dominate next season; thanks to fast-progressing AI tech this dream is quickly becoming a reality within hat fashion industry.

The One Where We Show You Copilot Editor

Copilot Editor is like an AI-powered Rosetta Stone for telemetry. It helps Cribl users take raw, messy telemetry data and turn it into standardized, analytics-ready formats. The most important piece? It puts YOU in control. Our human-in-the-loop design means that users have full control over and visibility into what’s happening with their critical data, preventing AI-induced mistakes. Watch this fun demo with the AI product team to show Copilot Editor's true value to the average Cribl user!

Sovereignty, Liquid Cooling, and the New Infrastructure Hierarchy with Gavin Dudley

The AI revolution is here, and data centers are its beating heart! Gone are the days of data centers being just overlooked IT infrastructure; they are now the "cool kids on the block," essential for powering the most significant technological shift of our generation.

Revolutionizing User Experience with Agentic AI

Revolutionizing User Experience with Agentic AI Agentic AI integration creates prompt-driven interfaces that simplify access to information and ticketing for users. AI incident correlation reduces service downtime, boosting productivity. Ring deployment automates patch management for controlled updates, while lifecycle management of gateways enhances security. Autonomous endpoint management tackles time and data challenges, leading to more efficient operations. The focus is on leveraging technology to innovate and optimize resources.

AI + Dark Mode: Introducing AI-Powered Insights and The Long Awaited Dark Mode

Join the live stream at 11 am ET, here. Launch Week’s Friday drop delivers two of the most-requested upgrades we’ve ever shipped: Together, they turn Bindplane into a cooler , and smarter , place to manage observability and SecOps telemetry. A full suite of extensive AI features will be rolling out over the coming weeks. This is just the beginning!

MCP = Observability + Code, a Real-life Example

Our bot is hitting an error. We can see it in the distributed trace. Here, see what happened when we noticed it: Austin fired up Claude Code (hooked up to Honeycomb with its MCP tool) and got it to find the error, fix it, deploy, and check that the fix worked. It got a little overconfident at first, but the ending is happy. IRL this took 22 minutes; the video speeds up the AI agent interactions and cuts out waiting. This video includes Austin Parker, Jessica Kerr, and Ken Rimple.

Why Cribl Copilot Editor is Built for the Human, First and Foremost

I’m genuinely excited about what we're rolling out with Copilot Editor, an update to our AI that’s truly packed with new capabilities designed to help you automate pipeline development. You can read about these capabilities here. I wanted to take a moment to share our thinking on a core principle that guides how we build, especially regarding the impactful, and sometimes daunting, world of generative AI.

From RPA to Agentic AI: Understanding the Shifting Landscape of Enterprise Automation

Over the past decade, organizations have embraced automation in waves – starting with basic task scripts and Robotic Process Automation (RPA), then moving to hyperautomation, and now exploring “agentic AI” as the next frontier. Each step in this evolution has expanded the scope of what can be automated, and revealed new challenges. This blog offers a detailed comparison of RPA, hyperautomation, and agentic AI, their key differences, strategic advantages, and potential drawbacks.

Hyperparameter tuning for LLMs using CircleCI matrix workflows

Hyperparameter tuning is a critical step in optimizing large language models (LLMs). Parameters such as learning rate, batch size, weight decay, and number of training epochs can significantly affect convergence behavior and final model performance. While several approaches like grid search or random search are widely used, executing them manually is inefficient; especially when each training run is compute-intensive.

AI in Action with Kunal Kushwaha: 2 Demo Showcase. See What's Possible!

Join Kunal Kushwaha, Field CTO at Civo, for two demos using relaxAI. In the first demo, we'll show you how to deploy your own Large Language Model (LLM) inference engine using Ollama, giving you full control over your AI model. In the second demo, we'll demonstrate how to build custom AI integrations using relaxAI API, making it easy to add AI features to your existing applications. Whether you're an AI developer, MLOps team, or just curious about AI, this video is for you.

Map, Transform, Filter: How Copilot Editor Helps Teams (and Their Pipelines) Have It All

Ever spent a week wrangling log pipelines just to get your SIEM to stop screaming about missing fields? Wasted way too much time stripping out noisy events and reformatting data for analytics? You’re not the only one. If you work in Security or ITOps, you know the pain: every new data source means another round of schema headaches, more manual mapping, endless field transformations, and a quick prayer that you didn’t break something critical (or let in a flood of junk events).

How CloudZero's OpenAI Integration Provides Unprecedented AI Unit Economic Insights

AI spending continues to accelerate. In 2025, experts project that companies will collectively spend about $644 billion on generative AI alone — a whopping 76.4% increase from 2024. This puts it a mere $79 billion behind the public cloud as a whole, signaling the most seismic interval of new infrastructure investment since the dawn of the public cloud.

Agentic AI: Powerful But Fragile-What You Need to Know

Just when you’d finally wrapped your head around AI, here comes its autonomous cousin, Agentic AI. Think of it as AI that doesn’t just assist, but acts. It makes decisions, handles tasks, and communicates with other systems on its own. While it’s revolutionizing supply chains and customer experiences, there’s a catch. These autonomous agents rely on a plethora of third-party services, and when one fails, everything stops.

Is AI already replacing me? Insights from Civo Navigate

With all the rapid advancements in machine learning and AI, it can feel like we’re constantly playing catch-up. Over the last two Civo Navigate conferences, Berlin 2024 and San Francisco 2025, Civo brought together leading experts to discuss the future of AI, machine learning, and the growing challenges and opportunities for developers and businesses.

AI Service Desk Showdown: RITA vs. Legacy Chatbots

Over the last decade, IT teams have leaned on chatbots to manage rising support volumes, aiming to deflect tickets and lighten the burden on overworked service desk agents. These legacy chatbots served a purpose—but today they’ve hit a wall. Static responses and script-based flows can’t keep pace with the expectations of modern digital workers or the dynamic needs of enterprise IT. That’s where a new kind of intelligence emerges.

AI threat hype: why chasing ghosts leaves real vulnerabilities exposed

With AI at the center of media and industry focus, cybersecurity teams are increasingly putting pressure on themselves to prepare for AI-fueled cyber attacks. According to Ivanti’s 2025 State of Cybersecurity research, half of IT security professionals ranked “yet unknown weaknesses” as a high or critical threat – the same as or higher than compromised credentials, supply chain risks, DDoS attacks and other real-world threats.

Stop Guessing: Let AI Handle the Debt Conversation

Traditional debt collection tactics fail in today's fast-paced digital age. Generic letters and repeated calls no longer deliver results. AI has shifted that landscape. Reaching out at the right time is easier when you know customer habits and preferences. This helps make contact smarter. Personalized service, cost savings, and increased efficiency are all possible. The best part? No new hires are required. Consumers now expect digital-first tools and flexible communication. Collectors get better with AI. It handles timing, channels, message tone, and follow-up without effort.