Navigating the Next Chapter of Cloud-Native Innovation with AI, APIs, and App Dev
Explore insights from Traefik Labs CEO Sudeep Goswami on how AI is accelerating application development and reshaping API management, edge deployment, and enterprise governance strategies.
Miratech Brings Strategic Clarity and AI Enablement to Cloud Contact Center Transformations
Enterprise Connect 2025 – Orlando, FL At Enterprise Connect 2025, Miratech showcased its unique approach to helping enterprises navigate cloud migrations, AI adoption, and digital transformation in the contact center space. In a conversation Erik Delorey, Senior Director of Innovation at Miratech, provided insights into how the company serves as a technology-agnostic advisor and implementation […]
272 | Breaking Analysis | Google’s Cloud Play — Integrated AI Across Infrastructure to Apps
We estimate that Google’s Cloud business will exceed $50B in annual revenue this year with Google Cloud Platform comprising more than 50% of its cloud revenue for the first time ever. Why is it then that Google’s cloud business, a $50B+ entity growing deep into the double digits gets so much criticism? The answer is simple. Google’s cloud, with arguably the best technology in the industry, is 2.5 – 3.5 times smaller than the cloud businesses of AWS and Microsoft.
HPE Aruba Networking Central Offers New Deployment Models
On April 8, 2025, Hewlett Packard Enterprise (HPE) announced an expansion of its network management platform, HPE Aruba Networking Central, introducing new virtual private cloud (VPC) and on-premises deployment options. The move is designed to address enterprise and government requirements for data sovereignty, regulatory compliance, and deployment flexibility. The new offerings build on Aruba Central’s […]
Riverbed Enhances Unified AIOps Platform
In an era defined by digital complexity and AI acceleration, organizations are facing growing pressure to ensure seamless performance across increasingly distributed IT environments. Enter Riverbed: a pioneer in observability and performance monitoring, now raising the bar on its unified AIOps platform vision and capabilities with significant enhancements unveiled this week. Riverbed introduced a series […]
Building Performant, Portable Apps for AI and Beyond
Discover how WebAssembly and serverless design patterns are transforming AI and edge computing. Learn from Fermyon CEO Matt Butcher how developers can build performant, portable apps for real-time workloads.
The New Rules of Application Development in the AI Era
AI tools can accelerate app development, but they’re no substitute for sound engineering. Learn from Google Cloud’s Chief Evangelist how to balance speed, structure, and strategy in modern software delivery.
271 | Breaking Analysis: Mapping Jensen’s World – Forecasting AI in Cloud, Enterprise, and Robotics
We are in the midst of a fundamental transformation of computing architectures. We’re moving from a world where we create data, store it, retrieve it, harmonize it and present it so that we can make better decisions, to a world that creates content from knowledge using tokens as a new unit of value; and increasingly takes action in real time with or without human intervention, driving unprecedented increases in value. What this means is every part of the computing stack, from silicon, infrastructure, security, middleware, development tools, applications and even services, is changing. As with other waves in computing, consumer adoption leads us up the innovation curve where the value is clear, the volume is high and the velocity is accelerated, leading to lower costs and eventual adoption into and disruption of enterprise applications. Importantly, to do this work on today’s data center infrastructure would be 10X more expensive, trending toward 100X by the end of the decade. As such, virtually everything is going to move to this new model of computing.
The Role of AppDev SDLC Platforms in the Era of Agentic AI
As enterprises rapidly embrace AI agents and agentic systems to revolutionize decision-making and automation, the question arises: Are Software Development Lifecycle (SDLC) solutions critical to the future of Agentic AI?
As Agentic AI increasingly becomes central to business innovation, understanding how Software Development Lifecycle (SDLC) platforms intersect with AI development is becoming mission-critical for business and technology leaders. This market brief, informed by discussions with industry expert Paul Nashawaty on theCUBE Research’s “Next Frontiers of AI” podcast, explores the significance of SDLC methodologies within AI workflows, highlights potential challenges, and examines how software developer roles adapt to widespread AI adoption. We also explore the evolving role of software developers in the era of AI.