7 things data leaders need to know about Open Data Infrastructure
As AI scales and workloads become continuous, traditional architectures fall short — making Open Data Infrastructure a critical priority for data leaders.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Why Static Analysis Is Still Essential in the Age of Claude AI Cybersecurity Scanning
It’s hard to keep up with how fast artificial intelligence is transforming organizations’ approach software security. Models like Claude Mythos Preview bring impressive new capabilities to the market, offering dynamic threat detection and adaptive learning. These advancements lead many engineering leaders to ask a critical question: Do we still need static analysis? The short answer is a definitive yes.
How AI-Driven Insights Improve Business Decision-Making
Eighty-five percent of business leaders have suffered from decision distress — regretting, feeling guilty about, or questioning a decision they made in the past year, according to Oracle’s Decision Dilemma study of 14,000+ leaders and employees across 17 countries.
Terraform Cloud - A Complete Overview, Key Features & Getting Started Guide
Over the past decade, the way organizations manage infrastructure has fundamentally changed. Static, manually provisioned resources have given way to dynamic, code-driven environments. Today, Infrastructure as Code (IaC) is the standard approach - but running it securely and efficiently at scale brings its own set of challenges: state management, access control, policy enforcement, and configuration drift are just a few.
Confluent makes it easier to build and secure real-time AI at scale
New capabilities remove barriers to production-ready AI applications with agent-powered workflows, automated data protection, and private cloud connectivity.
Presenting The Bugfender MCP: Use Your AI Agent to Find and Fix Bugs
You asked for it. We built it. Our new MCP server means you can debug directly inside your AI coding tool using real app data from Bugfender. You can use it to: It works with Cursor, Claude Code, Codex and Gemini CLI. This article will show you how to install the Bugfender MCP server, which tools your agent can access, and how the companion skills help you fix bugs faster.
ClearML Joins the Dell AI Ecosystem Program and Launches AI Factory Blueprints, Making It Easier for Enterprises to Operationalize AI
ClearML is deepening its partnership with Dell Technologies by joining the Dell AI Ecosystem Program, announced at Dell Technologies World 2026. As part of this collaboration, ClearML is launching two pre-validated deployment blueprints — for Kubernetes and OpenShift — available in the Dell Automation Platform catalog, giving enterprises a fast path from bare metal to a full AI stack.
Keynote: Building Intelligent Systems on Real-time Data
Confluent CEO Jay Kreps takes the stage alongside industry leaders at data streaming’s biggest event. Together, they’ll show why free-flowing, real-time data has become the key to unleashing the full potential of intelligent systems across every business. From live demos to real-world use cases to industry-changing product announcements, this year’s keynote is essential viewing for anyone looking to maximize the potential of their AI. Which is pretty much everyone. Don’t miss it.
AI Tools for Builders - Confluent's MCP Server & Agent Skills
Your AI coding assistant just learned to speak Confluent. Developers live in their editors. The best platform tools meet them there—and increasingly, that means their AI assistants meet them there too. AI coding tools are already reshaping how developers build, debug, and operate software, but most of them are generalists. They can write an Apache Kafka producer, but they won't know your Schema Registry subjects.
Agentic Fleet Management Architecture for Real-Time Operations
Agentic fleet management is a real-time, event-driven architecture where distributed AI agents continuously process streaming data to make autonomous operational decisions and execute them through closed-loop feedback systems. At its core, agentic systems enable: Unlike traditional systems that react to events after the fact, agentic architectures operate as adaptive, self-optimizing systems.