Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to the Next Frontier: AI on Kubernetes

Last week’s KubeCon Atlanta made one thing abundantly clear, Kubernetes is quickly becoming the de facto platform for AI workloads – with the event lineup chock full of talks, workshops, and even co-located events dedicated to AI, machine learning and running data on Kubernetes natively – with approximately 50 (!) sessions in total focused on AI, ML, LLM, and GenAI topics.. What was until now mostly PoCs and aspirational is now truly delivering in production.

How to monitor Amazon Bedrock AgentCore AI agent infrastructure in Grafana Cloud

Modern AI agents are now highly advanced, frequently becoming essential components of engineering workflows and deployment pipelines. However, operating these systems often feels like trying to navigate a ship through a dense fog. When an agent errors, slows down, or consumes excessive resources, engineers find themselves adrift, lacking the navigational charts needed to diagnose the problem. The absence of deep insight makes debugging, performance tuning, and cost management unnecessarily difficult.

How AI is Revolutionizing Customer Support

The integration of artificial intelligence (AI) into customer support is not just a trend. It is a transformative revolution that is fundamentally changing how businesses interact with their customers. Businesses across various sectors are leveraging AI technology to create more efficient, responsive, and personalized customer service experiences.

How Can Startups Turn Ideas into Successful Products Quickly?

Several startups fail not due to the poor idea, but due to the execution process being too long. The best idea of all is having a brilliant idea but how you can actually transform the idea into a marketable product in haste is the more challenging side of it all. Speed is good, but focus is good. Successful startups focus on what is most important and find the most fundamental features and create small testable pieces of their products.

The Technological Architecture Behind ServiceOrca: Building a Modern, Scalable Service Marketplace

As digital marketplaces mature, the strongest platforms increasingly distinguish themselves not just through marketing or user interfaces, but through the depth and precision of their underlying technology. ServiceOrca.com, a global free-to-list service marketplace, has been gaining attention for its engineering-driven approach to building a scalable, AI-enhanced ecosystem for both local and remotely delivered services.

AI Synergy: Using GPT, LLaMA, and PaLM Models

The public release of GPT in 2023 ushered in a new era of Generative AI applications in business. ChatGPT by OpenAI, LLaMA by Meta AI, PaLM by Google AI, and other text generation models are now widely utilized for both personal and professional applications. The Generative AI market is expected to reach $66.62 billion by 2024, with an annual growth rate of 20.80%, leading to a market volume of $207.00 billion by 2030.

Smooth Operator: The Role Of Autonomous FinOps In Cloud Cost Management

(Almost) everyone is using generative AI, and just as many aren’t seeing any benefits. Research firm Gartner calls it the “gen AI paradox” — nearly 80% of companies say they’ve invested in generative solutions, and the same number report no benefits to their bottom line. What’s more, 90% of projects are stuck in pilot mode; ready to take off, but just can’t get up to speed.

In the age of AI, measurement becomes our superpower

The last few years have felt less like a product roadmap and more like a scene from science fiction. Artificial intelligence didn’t simply arrive, it erupted. In what feels like a blink, we’re building software by prompting instead of programming. Our words now generate code, compose music, translate languages, and create entire digital experiences.