Operations | Monitoring | ITSM | DevOps | Cloud

Smarter Workflows. Built-In AI. Better Developer Experience.

Software development is changing fast, and here at GitKraken, we’re excited to be at the forefront. We’re entering a new era—one where AI is helping developers rather than trying to replace them. Our goal is to put that power to work for developers—embedded in your workflows, on your terms. We’ve been listening closely to feedback from our community—developers, team leads, engineering managers, and our enterprise customers.

Capture Accurate Temperature Data Across Your Supply Chain with the Zebra ZS300 Sensor | Zebra

The Zebra ZS300 sensor captures temperature data and transfers it to SAP via LiquidUI. Paired with Zebra’s compact data bridge, or your own mobile devices, you can stream both temperature and location data to the cloud and your SAP system, where AI agents analyze the information and suggest real-time actions.

GitKraken Desktop Release 11.0: GitKraken AI

In this release, GitKraken evolves into your development co-pilot with new AI features designed to save time and reduce toil. Learn how to use AI-generated commit explanations, commit message generation, and how to customize your AI model settings with OpenAI, Anthropic, or Gemini—all included with your subscription.

The Rise of Shadow AI & the Tech Debt Tsunami

Recently, Logz.io co-founder and CTO Asaf Yigal teamed up with DevOps legend John Willis for an engaging webinar exploring the exciting—and occasionally intimidating—world of Shadow AI and the “tech debt tsunami” on the horizon. This lively session dove into how generative AI (GenAI) is reshaping software development, DevOps practices, and infrastructure management, along with some friendly advice on how organizations can navigate these changes without getting swept away.

Agentic AI in RevOps: How Leading Media and Platform Companies Maximize Outcomes Efficiently

Advertising-driven revenue models have become increasingly appealing to businesses across various sectors in recent years. This approach has gained significant traction among retailers, grocers, and commerce intermediaries seeking to diversify their income streams. However, the rapid evolution of these markets has often led to operations marked by manual interventions, disjointed systems, and fragmented data workflows.

Best Practices for Ephemeral Environments: Auto-Anonymizing PostgreSQL Data for AI & Devs

AI coding and development thrive in real, production-like environments—not just sandboxes with dummy data. But here’s the challenge: real data often includes sensitive info like PII, financials, or healthcare records, all governed by strict regulations like GDPR and HIPAA. How do you balance security, compliance, and speed? In this webinar, we dive into practical solutions with a live demo featuring Bunnyshell and Xata.io.

AI On A Budget: Low-Cost Strategies For Running AI In The Cloud

AI costs can spiral out of control before you know it. One day you’re building an AI feature that promises to bring in a solid chunk of revenue for the company. The next day you’re obsessing over an astronomically high cloud bill that will significantly eat into your profits — or consume them entirely. To help you solve this problem, we brought in Jeremy Daly, Director of Research (and AI cost management guru) at CloudZero.

The Future of Customer Experience: How can Agentic AI reverse declining CX trends?

The state of customer experience (CX) in the United States has reached a critical juncture. Findings from Forrester's 2024 US Customer Experience Index (CX Index) revealed a concerning trend: a significant decline in overall CX quality, marking the third consecutive year of deterioration. CX quality has reached an all-time low since 2016, with nearly 40% of brands experiencing a decline.

Why Edge AI Is a No-Brainer for IoT Devices

Need to stop a saw before it hits a finger? Edge AI delivers where the cloud can't with ultra-low latency, better privacy, and smarter bandwidth usage. For devices on cellular or satellite networks, pushing data to the cloud just doesn’t cut it. Here's why AI at the edge is the right move for real-time IoT applications.

Revolutionizing IT, Service Management, AI powered transformations

In today's rapidly evolving digital landscape, IT service management (ITSM) is undergoing a radical transformation. Join our exclusive webinar to discover how Ivanti Neurons is leveraging artificial intelligence to redefine IT support, streamline operations, and drive unprecedented efficiency. Key Highlights: Whether you're an IT leader, service desk manager, or technology professional, this webinar will equip you with actionable insights into intelligent service management. Don't miss this opportunity to stay ahead and transform your IT support strategy.

Can Data Centers Keep Up with AI? Hyperview CEO Breaks It Down

With the rise of AI, data centers are becoming a bigger part of our everyday lives. But this growing reliance also brings up serious concerns about energy use and the environment. On Ticker’s business news show, Hyperview CEO Jad Jebara discussed how AI is driving data center operators to rethink how they handle these energy-hungry workloads while working toward sustainability goals.

Machine learning vs AI: Key differences and how they work together

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.

Decoding AI-led event correlation for mastering modern IT management

"The whole is more than the sum of its parts," said Aristotle. This quote fits the amazing world of modern IT, where several intricate, interwoven, and intensely dynamic ecosystems come together. Today, every component, from applications and microservices to networks and databases, interacts dynamically. To ensure seamless operations, IT teams are expected to decode the language of these interactions: events and incidents.

Leveraging AI for enhanced network monitoring in healthcare: A guide for CXOs

During emergencies and illnesses, people expect intuitive healthcare services. When multiple tests and reports are involved, patients anticipate that the results will be available to their doctors instantly for quick diagnoses. Waiting for a paper copy of each test result is not feasible.

How AI Powers the Future of Autonomous Vehicles

Autonomous vehicles (AVs) are transforming the transportation industry, with AI playing a central role in making self-driving cars a reality. From perception and decision-making to navigation and safety, AI enables vehicles to operate independently while improving efficiency and safety on the roads. But how exactly does AI power the future of autonomous vehicles?

3 Interesting Ways AI is Changing Financial Transactions

It's interesting to see how artificial intelligence has truly cemented its place in the financial world. It's quickly reshaping the way we manage money. The banking industry has already adopted AI technologies in more ways than you might know. These innovations are making financial transactions more effective, faster, and a lot more personalized for businesses and consumers alike.

AI vs. Human Recruiters: Can Artificial Intelligence Replace Hospitality Headhunters?

The hospitality industry is facing a recruitment revolution. AI-powered hiring tools promise to slash time-to-hire by up to 70% while cutting recruitment costs by nearly 40%, according to research from Harvard Business Review. But can algorithms truly replace the seasoned hospitality recruiter who reads between the lines of a resume and gauges cultural fit across a dinner table?

Fine Tuning (RAG) or Retrieval Augmented Generation when dealing with multi-domain datasets?

In the world of large language models (LLMs), two approaches have dominated how we adapt AI to specific use cases: Retrieval-Augmented Generation (RAG) and Fine-Tuning. But the landscape is rapidly evolving with advanced techniques like MoE, LoRA, and GRPO. Let’s explore how these approaches compare and combine to create more powerful AI systems.

7 tips for effective system prompting: A developer's guide to building better AI applications

As AI becomes increasingly central to modern software development, the ability to craft effective system prompts has emerged as a crucial skill. Whether you’re building a code generation tool, creating a chatbot, or developing AI-powered features, your success largely depends on how well you can communicate with AI models through prompts. At CircleCI, we’ve spent countless hours working with developers who are integrating AI into their applications.

AI Cost Optimization Strategies For AI-First Organizations

Not long ago, our co-founder and CTO, Erik Peterson, shared some insights on AI spending. He shared how AI costs currently fall under the write-off-friendly world of R&D. He also acknowledged why DevOps teams might feel it’s too early to start optimizing AI costs. As the saying goes, “Premature optimization is the root of all evil.” But after more than a decade of software development, Erik knows that eventually, research, experimentation, and big ideas need to deliver real returns.

Unlocking Ultimate PC Performance: The Art of Bottleneck Busting

Welcome, Tech Explorer, to the grand journey of maximizing your PC's potential. Whether you're an AI wizard optimizing high-performance computing or a casual gamer frustrated by unexpected stutters, one enemy stands between you and peak efficiency: the hardware bottleneck. That's where the pc bottleneck calculator steps in-your secret weapon in the battle against system slowdowns.

Accelerating AI with open source machine learning infrastructure

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware.

Building optimized LLM chatbots with Canonical and NVIDIA

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI technology, offering a production-ready AI pipeline built on Kubernetes.

New In Playwright 1.51 - Can AI Fix Failing Tests With The New Error Prompt?

In this episode, Stefan Judis, Playwright ambassador, explores the new 'Copy as prompt' feature in Playwright 1.51. This feature allows you to copy a pre-filled LLM prompt with all the context of a failing test case. Does this mean that AIs can take over and magically fix all the failing tests? Let's find out!

Modernizing Data Centers for AI: Bridging Observability, Cost Control, and Intelligent Automation

Attend our webinar on April 3 to see our latest innovations live. Register IT Operations are more complex than ever, with modern data centers spanning on-premises, containers, multi-cloud environments, and AI-powered infrastructure. The rapid expansion of data sources has created an overwhelming volume of information, making manual monitoring across multiple tools impractical. Visibility gaps slow down troubleshooting and delay critical decisions, impacting business performance.

Introducing Coralogix's AI Center: Real-time AI Observability

Traditional observability wasn't built for. The reason? AI operates in shades of grey, where outcomes are non-deterministic. That's why we built the AI Center, bringing real-time AI observability to thousands of enterprises worldwide. As part of our AI Center, we built an evaluation engine, designed to oversee and detect specific issues that are most common when building AI agents. Teams can choose the evaluators they want to oversee each agent and receive live alerts and reports into specific quality, security and compliance issues.

Unlocking Edge AI: a collaborative reference architecture with NVIDIA

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hurdles. This blog introduces our new reference architecture, designed to simplify edge AI deployment.

Uplink | Episode 1: The Future of AI Consumption with Chris Sharp, CTO of Digital Realty

Welcome to Uplink, the podcast where digital infrastructure leaders reveal the underlying technology powering AI and cloud innovation. In this episode, our host Michael Reid sits down with Chris Sharp, CTO of Digital Realty, to discuss how enterprises are consuming AI today, the role of private interconnection, and what the future of AI workloads looks like.

Observability Reimagined: How AI is Transforming Monitoring

Observability needs to evolve. With AI reshaping IT monitoring, how can businesses leverage predictive analysis, AI-driven monitoring, and auto-remediation workflows to create more resilient infrastructures? At Civo Navigate San Francisco 2025, Jemiah Sius, New Relic, explores how AI is transforming observability, shifting from reactive responses to proactive, intelligent solutions.

AI Integration #speedscale #ai #integration #mcp #march

Ken Ahrens from Speescale dives into the best AI API integration model of March 2025 — Anthropic's MCP model. This innovative integration enables seamless communication with browsers and various tools, including the popular Cursor. Discover how the MCP model is revolutionizing AI-powered workflows and boosting productivity.

AI Costs In 2025: A Guide To Pricing, Implementation, And Mistakes To Avoid

AI costs haven’t been a major factor in cloud computing — until now. For example, AI demands massive data processing and storage, such as for training Large Language Models (LLMs) and generative AI. Additionally, AI workloads require parallel processing, which traditional instances struggle to handle — forcing companies to invest in specialized (and expensive) GPUs to get the job done.

The AI Revolution is Here - Are You Ready for the Hidden Threats?

In a recent webinar, Gartner unveiled its Top 10 Strategic Technology Trends for 2025*, which all focus on the concept of ‘Responsible Innovation’. They break this down across three pivotal themes: AI Imperatives and Risks, New Frontiers of Computing, and Human-Machine Synergy.

The Rise of BYOAI: How Shadow AI is Reshaping the Workplace and the Security Risks You Can't Ignore

The Tech Show 2025, held on March 12-13, was a testament to the rapid integration of artificial intelligence (AI) across various vendors. A significant number of companies showcased their latest AI advancements, underscoring the technology’s pivotal role in shaping the future. From startups to established tech giants, exhibitors demonstrated AI’s transformative potential.

AI & ML Experts Reveal the Future - What's Next for Innovation?

Where is AI heading next? In this panel from Civo Navigate San Francisco 2025, leading AI & ML experts explore the latest advancements, challenges, and opportunities shaping the future of artificial intelligence. Join Josh Mesout (Civo), Jimil Patel (Intuit), Nami Baral (Niural), Tristian Cormier (State of California), and Gaurav Bharaj (Reality Defender) as they discuss neural networks, responsible AI governance, real-world applications, and the future of human-machine collaboration.

European Space Agency: Modernizing data and IT infrastructure to advancespace exploration with AI

The European Space Agency (ESA) leads some of the most exciting and impactful space missions, from the Billion Star Survey to Euclid’s exploration of dark matter and energy. None of these missions would be possible without infrastructure. To expand its space mission capacity, ESA embarked on a journey to modernise its IT infrastructure and adopt an integrated set of data management capabilities. Using this new infrastructure will enable the agency to reach new frontiers and adopt new AI-driven technologies, such as anomaly detection and long-term satellite health forecasting.

A Northern Ren-AI-ssance

As the UK's most geographically diverse digital infrastructure provider, Pulsant champions regional thinking. Every day, there’s a push for technological innovation to go beyond the M25 and drive the brightest businesses nationwide. This has led to our focus on the Northern Powerhouse. We have invested extensively in data centres across Manchester, Rotherham and Newcastle.

How AI is Revolutionizing Digital Marketing: Trends to Watch

Artificial intelligence (AI) is rapidly transforming the digital marketing landscape. From personalized customer experiences to automated processes, AI is helping businesses streamline operations, boost efficiency, and drive engagement. As technology continues to evolve, AI's role in digital marketing is becoming more significant than ever. Let's explore the top trends shaping AI-driven marketing and what businesses should watch out for.

AI in server monitoring

AI is what automation used to be: the latest problem-solver. Organizations have rallied their teams to integrate AI into their workflows to quadruple the efficiency quotient—and it's already started to yield results. As organizations increasingly rely on complex server ecosystems, traditional monitoring methods often struggle to kee pace with the volume and complexity of data generated. AI can be a star player here.

DeepSeek's GRPO is the biggest breakthrough since transformers

GRPO is a new reinforcement learning technique that replaces traditional methods like Proximal Policy Optimization (PPO) DeepSeek’s Group Relative Policy Optimization (GRPO) represents a paradigm shift in reinforcement learning (RL) for large language models, addressing key limitations of Proximal Policy Optimization (PPO) through innovative simplifications and efficiency gains. Here’s why GRPO stands out.

Fix IT Incidents Faster with AI | Meet Edwin AI: The First Agentic AI for ITOps

Tired of drowning in IT alerts? Struggling to find the root cause of incidents? Edwin AI is here to help. Edwin AI is the first agentic AI built for IT teams, designed to cut through the noise, speed up resolutions, and prevent outages. Cuts alert noise by 90% – Less clutter, more focus Fixes issues 60% faster – AI-powered insights and recommendations Boosts team productivity by 20% – Automates tasks and escalations.

Top 5 Things to Keep in Mind When Choosing an Agentic AI Based DevOps Copilot

Looking to enhance automation, optimize your CI/CD pipeline, and improve infrastructure management all at the same time? Look no further than a Agentic AI based copilot. But choosing the right one requires a thoughtful, case-driven approach. From managing the costs associated with using large AI models to ensuring your copilot of choice actually delivers factual and reliable insights, it’s important to have all the information you need..

AI at the Edge with #ubuntu & @RenesasPresents ! #Ubuntu #Renesas #ew25 #embeddedworld #iot

At Embedded World 2025, we demonstrated how Ubuntu enables secure, scalable, and high-performance edge AI solutions. With Secure Boot, full disk encryption, and inference running directly on a CPU in kiosk mode, this setup showcases the future of embedded intelligence. How do you see AI at the edge transforming industries?

Edwin AI kicks off a new era of ITOps, powered by LogicMonitor and OpenAI

I know you’ve been there: a critical system goes down, and suddenly, you’re in a war room, staring at a blizzard of alerts, conflicting logs, and a dozen theories pointing in different directions. Time slips by as you sift through fragmented data, chasing symptoms instead of solutions. Hours of digging later, all you have are more questions and a cup of lukewarm coffee. This isn’t just frustrating—it’s draining.

Refining ChatGPT's Output: A Guide to Crafting a Proper Essay With Research From AI

Artificial intelligence has transformed the way students and professionals approach writing. Tools like ChatGPT provide quick drafts and structured content, making the writing process more efficient. However, AI-generated text is not always ready for submission. It often lacks depth, originality, and accurate research, requiring refinement to align with academic and professional standards. While AI can generate well-structured content, it cannot replace the need for human oversight, fact-checking, and personalization.

Why It's Important to Humanize AI in Content Creation

The use of AI in content creation has transformed the way we generate and distribute information. However, while AI-generated text is fast and efficient, it often lacks the natural flow and emotional connection that human writing provides. This is why it's essential to humanize AI when producing content. Humanization ensures that AI-generated text feels more engaging, relatable, and trustworthy to readers, making it an indispensable step for businesses, bloggers, and marketers alike.

Teaching AI to Speak Nexthink Query Language: Lessons from Nexthink Assist

In today's fast-paced IT environments, managing the Digital Employee Experience (DEX) shouldn't require mastering query languages or wading through endless data. IT teams need immediate answers, not more complexity. That’s why we have built Nexthink Assist, our AI-powered virtual assistant in Nexthink Infinity. By leveraging the power of Generative AI (GenAI) and Large Language Models (LLMs), Assist transforms the way organizations manage their DEX.

AI Incident Summarization in 50 Seconds

Ivanti's AI Incident Summarization feature lets your IT team catch up on the history of a given incident at the speed of GenAI, so they can help your end users solve their problems that much faster. Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best.

What is Edge AI, exactly?

There's a lot of confusion around Edge AI. Is it in the cloud? The edge of the network? In this clip, we break it down: real Edge AI happens on embedded devices. Processing data at the source enables zero latency, full privacy, and applications that wouldn't be possible otherwise. Watch to learn why AI at the true edge is a game-changer for robotics, IoT, and beyond.

Azure AI Agent Services in Azure AI Foundry

This podcast features Alex Pshul, Microsoft MVP, discussing Azure AI agents, a new technology related to Microsoft's Azure platform. The conversation covers various aspects of Azure AI, including the development and functionality of AI agents, their applications, and the underlying technologies involved. Time stamps: Introduction of Guests (00:00:00) Overview of Azure AI Agents (00:01:10) Creating AI Agents (00:03:00) Functionality and Use Cases of AI Agents (00:04:00) Future of AI Agents (00:05:00) Demo and Code Examples (00:06:00) Cautions and Recommendations (00:37:00)

What is agentic AI? The role of AI agents in DevOps automation

Agentic AI represents the next evolution in artificial intelligence systems, characterized by autonomous software entities that can independently pursue goals, make decisions, and take actions with minimal human supervision. Unlike traditional AI models that respond only to specific prompts, AI agents actively observe their environment, learn from feedback, and execute complex sequences of tasks to achieve defined objectives.

How does AI-powered computing keep a ball balanced? #canonical #intel #embeddedworld #shorts

At Embedded World 2025 at Canonical's booth 4-160, lntel is showcasing an amazing balancing ball demo, powered by. It demonstrates the power of Intel’s cutting-edge processors, combined with the flexibility and reliability of Ubuntu, handle complex physics in milliseconds, ensuring smooth, dynamic balance with precision. A perfect example of how real-time control can be applied to, automation, and industrial AI!

AI Incident Summarization in 50 Seconds

Ivanti's AI Incident Summarization feature lets your IT team catch up on the history of a given incident at the speed of GenAI, so they can help your end users solve their problems that much faster. Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best.

How to Mock AI APIs Using proxymock

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

What Is AI Autonomous Debugging? A Deep Dive into the Future of Software Troubleshooting

In the fast-paced world of software development, debugging remains one of the most time-consuming and complex tasks for engineers. Modern observability tools that use logs, metrics, and traces help developers gain insights into system behavior, but they still require manual effort to identify and fix issues.

Monitor GitHub Copilot with Datadog

AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.

Building a serverless GenAI API with FastAPI, AWS, and CircleCI

The advancement of AI has empowered businesses to incorporate intelligent automation into their applications. A serverless Generative AI (GenAI) API enables developers to harness cutting-edge AI models without the burden of infrastructure management. This guide walks you through building a scalable and cost-effective GenAI API using FastAPI, a high-performance Python framework with built-in async support and seamless AWS integration.

Introducing Audiences: AI That Tailors Incident Communication to Every Stakeholder

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.

Enhancing Patient Care Through Integrated IT and Communication Solutions

Healthcare is changing fast, and technology is playing a huge role in making it better. Imagine doctors, nurses, and caregivers working together smoothly, sharing patient information instantly, and making decisions faster. That's the power of integrated IT and communication solutions in healthcare.

Retrieving All Keys in Redis: Commands & Best Practices

Need to list all the keys in your Redis database? If you're debugging an issue or just checking what's stored, retrieving all keys is a useful skill for any developer. This guide covers everything you need to know—from the basic commands to the performance implications—so you can query Redis efficiently without slowing things down.

Generating Calculated Fields From Natural Language

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

Marty Weiner's AI Predictions: What to Expect in the Next 2 Years

Recorded at Civo Navigate San Francisco 2025, Marty Weiner, co-founder of VerifyYou and former CTO of Reddit, delivers a shocking talk on the current state of AI and its rapid progression. From its impact on various industries to its potential effects on the economy and job market, Marty explores the exciting and terrifying aspects of AI. He also discusses the concept of AGI and its potential implications for civilization. Watch to learn more about the future of AI and what it means for humanity.

How to Analyze Logs Using AI

Your tech stack is growing, and with it, the endless stream of log data from every device, application, and system you manage. It’s a flood—one growing 50 times faster than traditional business data—and hidden within it are the patterns and anomalies that hold the key to the performance of your applications and infrastructure. But here’s the challenge you know well: with every log, the noise grows louder, and manually sifting through it is no longer sustainable.

AI Agents: Your data sidekick (minus the coffee breaks)

Do you ever wish you had a personal data guru who could magically sift through all your data, spot patterns before they become problems, summarize everything in a way that actually makes sense and propose recommendations? Well, meet AI Agents—the “digital teammates” who do all that without demanding coffee breaks.

Will DevOps as We Know It Survive the AI Revolution?

Is DevOps on the brink of extinction? Solomon Hykes, co-founder of Docker and CEO of Dagger.io, explores how AI agents are transforming software development—not just writing code but shipping it. In this talk at Civo Navigate San Francisco 2025, Solomon retraces the history of software’s industrial revolution and examines whether AI will replace DevOps engineers or empower them. With live demos and expert insights, he reveals what’s next for the software factory and the future of platform engineering.

Simulating artificial intelligence service outages with Gremlin

The AI (artificial intelligence) landscape wouldn’t be where it is today without AI-as-a-service (AIaaS) providers like OpenAI, AWS, and Google Cloud. These companies have made running AI models as easy as clicking a button. As a result, more applications have been able to use AI services for data analysis, content generation, media production, and much more.

Zebra Companion - Introducing AI for the Frontline | Zebra

Whether it’s locating assets in the backroom, identifying mislabeled or expired products, or answering questions about return policies, Zebra Companion expands the possibilities for frontline staff. Learn how new employees can perform with the efficiency of seasoned staff, enhancing customer satisfaction and streamlining store operations.

How AI broke serverless and what to do about it with Vercel's Mariano Fernández Cocirio

Mariano, Staff Product Manager at Vercel, explains why serverless architectures are hitting unexpected limits—they’re too fast. The industry has spent millions optimizing serverless for speed, but AI workloads are changing the game. In the AI realm, slower execution often leads to better results. The challenge? Paying for all that idle compute time while waiting for AI responses.

Does AI Help Write Better Software, or Just... More Code?

As software teams race to integrate AI into their development workflows, we need to ask ourselves: are AI-powered tools actually making software better? The latest research from DORA confirms what many engineers have long suspected, and what we at Honeycomb have said for a long time: AI tools don’t magically lead to better software. In fact, without careful implementation, AI can introduce a whole slew of challenges, including decreased productivity and unreliable code.

AI is Showing Up in Rugged Tablets in New Ways. But This May Be One of the Most Meaningful on the Frontline Right Now.

Right now. Without any training or extra “work” needed on your part. If you’re an emergency medical technician (EMT,) utility lineman, forklift operator, delivery driver, or other frontline worker who can’t do much without your rugged tablet, there’s one thing that comes to mind: AI can reduce button pushes. What do I mean?

Revolutionizing Incident Management with AI: Meet Mo Copilot

Join us for this webinar as we explore how our newly launched Sumo Logic Mo Copilot redefines incident management with the power of AI. We'll examine the limitations of traditional troubleshooting methods and why they fall short in today’s fast-paced environments. Discover how Mo Copilot leverages advanced machine learning and automation to streamline root cause analysis and reduce mean time to resolution (MTTR). We'll also showcase a live demonstration and highlight how Mo Copilot integrates into your workflow, transforming how you manage operational reliability.

Forget the Hype-Kelsey Hightower on What's Next in AI & Cloud Computing

Kelsey Hightower takes the stage at Civo Navigate San Francisco 2025 to explore the evolving world of AI, cloud computing, and Kubernetes. In this insightful discussion, he shares his thoughts on data sovereignty, AI adoption, security challenges, and the future of cloud technology. Recently joining Civo as a Board Director, Kelsey discusses his vision for reimagining cloud computing, the impact of AI agents, and what developers need to focus on in an increasingly AI-driven world.

How Technology Can Help You Choose the Right Career

Selecting the right career can feel like navigating a maze. With numerous paths to consider, the traditional ways of career selection, such as word of mouth or guidance from teachers, often fall short of providing the clarity needed today. Thankfully, technology has evolved to offer us a treasure trove of resources that make this daunting task easier and more precise. This article explores how various technological advancements can significantly influence your career decision-making process.

How I Code With LLMs These Days

I first started using AI coding assistants in early 2021, with an invite code from a friend who worked on the original GitHub Copilot team. Back then, the workflow was just single-line tab completion, but you could also guide code generation with comments and it’d try its best to implement what you want. Fast forward to 2025. There’s now a wide range of coding assistants that are packed with features.

When AI tools fail: How to map your AI dependencies for proactive visibility

AI platforms have experienced several service interruptions over the past few months. We’ve all seen the memes fly when ChatGPT, Gemini or Perplexity go down. They’re funny at first, but then reality hits: if you rely on AI tools for work or business, these outages can grind your day to a halt.

Unlock Passive Income with Smart Cloud Mining: The Future of Cryptocurrency Investment

In the fluctuating cryptocurrency market, AI cloud mining is gradually emerging as a new choice for investors. Compared to traditional mining, cloud mining is favored for its straightforward operations and substantial gains.

AI: Where in the Loop Should Humans Go?

AI is everywhere, and its impressive claims are leading to rapid adoption. At this stage, I’d qualify it as charismatic technology—something that under-delivers on what it promises, but promises so much that the industry still leverages it because we believe it will eventually deliver on these claims. This is a known pattern.