Operations | Monitoring | ITSM | DevOps | Cloud

We built AI-powered Root Cause Analysis that actually works

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

ChatGPT vs. relaxAI: What's the difference?

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

AI Data Management: Strategies, Tools, and Trends

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

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

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

Unlocking the Power of LLMs and AI Agents for Network Automation

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

The EU AI Act and what it means for managing incidents

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

AI on constrained embedded devices with Ubuntu Core

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

Social Media Marketing Tips for Freelance Professionals

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

How AI Is Reframing the Software Development Operation Rules

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