Systems | Development | Analytics | API | Testing

AI is Reshaping Data Centers - Is it Time to Rethink Storage?

As artificial intelligence (AI) reshapes industries, it’s quietly revolutionizing the heart of IT: The data center. The explosive growth of AI workloads is driving up power usage, challenging cooling systems, and demanding a fundamental rethink of how we store and move data. In this new landscape, flash storage stands out – delivering the performance, efficiency, and scalability that AI needs to truly accelerate.

ThoughtSpot Agentic MCP Server Demo

Unlock the full power of your AI agents! This demo shows you how easy it is to use ThoughtSpot's Agentic Model Context Protocol (MCP) Server to bring comprehensive, trusted analytics directly into your favorite AI platforms like Anthropic Claude, Google Gemini, and OpenAI ChatGPT. No more switching between tools! See how you can combine structured data analysis from your ThoughtSpot Models with insights from unstructured data, all through a single natural language prompt in Claude. You'll go from a question to an AI-augmented dashboard (ThoughtSpot Liveboard) in just a few minutes.

Streamlining AI Workloads: How ClearML's Infrastructure Control Plane Automates Orchestration, Scheduling, and Resource Optimization

By Noam Harel, Co-founder and CMO, ClearML AI is certainly transforming industries, but delivering it at scale is a harder task The shift to enterprise-grade AI isn’t just about building better models. It’s about managing the growing sprawl of infrastructure, tools, and people involved in every phase of your AI production From building and training to production deployment, teams are bogged down by fragmented workflows, manual provisioning, inconsistent environments, and underutilized compute.

Introducing the Bijira AI Gateway: Next-Gen AI-Driven API Management

The API ecosystem is rapidly expanding into the world of AI. Enterprises are increasingly integrating generative AI services like OpenAI, Claude, and AWS Bedrock into their workflows, but face challenges with secure, governed, and scalable integrations. That’s why Bijira, WSO2’s AI-native API management SaaS platform, introduces AI Gateway support. This is a purpose-built solution to create, expose, and manage AI service integrations as first-class APIs.

Marco Palladino on the growth of APIs with AI | CUBE Conversation

Marco Palladino, co-founder and CTO of Kong, joins theCUBE Research’s John Furrier for an insightful conversation exploring the latest technological advancements at the company. As a recognized expert in the field, Palladino shares his perspectives on API innovations and the evolving impact of AI in a world increasingly interconnected by digital technologies.

How to Build a Single LLM AI Agent with Kong AI Gateway and LangGraph

In my previous post, we discussed how we can implement a basic AI Agent with Kong AI Gateway. In part two of this series, we're going to review LangGraph fundamentals, rewrite the AI Agent and explore how Kong AI Gateway can be used to protect an LLM infrastructure as well as external functions.

Harnessing AI to save time for Exploratory Testing

Exploratory Testing is one of the most valuable practices in software testing, especially when we want to discover issues that impact user experience. But at the same time, it is also one of the most demanding approaches in terms of time and focus. In a world where product development life cycles are becoming shorter and where QA teams need to ensure faster releases without compromising quality, a question arises: How can we gain time without sacrificing the depth of exploratory tests and their findings?

Koyeb MCP Server: Interact with your Koyeb Resources in Natural Language

Today, we're announcing the Koyeb MCP Server in public beta to let you interact with your Koyeb resources in natural language. Using the Koyeb MCP Server, LLMs and agents can easily discover and leverage Koyeb primitives to: All of this using your favorite AI assistants like Claude, Cursor, Windsurf or any other applications that support the Model Context Protocol.

Introducing Agentic Test Automation: Revolutionizing software testing in the era of agentic AI

In a significant leap forward for the software testing industry, Tricentis has introduced Agentic Test Automation, an advanced, AI-powered tool set to transform how QA teams create and execute automated test cases. This industry-leading agentic AI solution, directly embedded into Tricentis Tosca, allows teams to generate comprehensive test cases autonomously using natural language prompts, unlocking a new level of efficiency and productivity in software testing.