Blog

Our latest thinking to keep you up to date
about technology & the industry
CloudGeometry AWS Partner Network SaaS Factory CompetencyCloudGeometry CNCF Kubernetes Certified Service Provider
CloudGeometry AWS Well-Architected Framework WAFR
Discover how new AI agent protocols—Model Context Protocol (MCP), Agent2Agent (A2A), and Networked Agents and Decentralized AI (NANDA)—are redefining the future of AI infrastructure. Learn why adopting these standards is critical for scalable, composable,
Nick Chase
June 30, 2025

Building AI Agent Infrastructure: MCP, A2A, NANDA, and the New Web Stack

Explore how MCP, A2A, and NANDA are setting new standards for scalable, composable, and interoperable AI agent infrastructure, ushering in the next era of the intelligent web stack.

Read post
Organizations are investing millions in fast dashboards, yet data science insights are slowing down. Discover why rigid infrastructure constrains discovery and how flexible data platforms can drive true innovation.
Nick Chase
June 27, 2025

Why Your Data Scientist Needs a "Flexible Data Canvas," Not Just an Optimized Dashboard

Faster dashboards don’t mean faster discoveries. Discover why the key to true data science innovation is flexible, discovery-driven infrastructure—not just optimized reporting tools.

Read post
Discover how anti-fragile AI systems turn market chaos into opportunity. Learn key principles, architecture, and business strategies for building AI that improves during disruption—transforming uncertainty into a sustainable competitive advantage.
Nick Chase
June 25, 2025

The "Anti-Fragile" AI Agent: Building Systems That Thrive on Disruption, Not Just Efficiency

Unlock the power of anti-fragile AI: Build intelligent systems that grow stronger with disruption, not just survive it. Explore strategies, principles, and a roadmap for deploying adaptive AI in your organization.

Read post
Unlock the full value of your Databricks investment with a pragmatic, at-a-glance guide to optimizing infrastructure, streamlining workflows, and aligning teams for maximum ROI.
David Fishman
June 2, 2025

Leaning in for Databricks ROI: A Practical Guide for Data-Driven Leadership

This article provides a practical, strategic framework for maximizing ROI from Databricks. It outlines how to avoid the mistakes many organizations make with the platform and offers a 3-pillar approach -- optimizing infrastructure, accelerating workflows, and aligning teams -- to transform Databricks from a high-cost tool into a high-impact business asset.

Read post
Understanding Amazon Elastic VMware Service (EVS) and Its Practical Applications
Nick Chase
June 1, 2025

Understanding Amazon Elastic VMware Service (EVS) and Its Practical Applications

As these organizations explore cloud options, a key consideration is how to integrate their existing VMware environments with cloud services without undergoing extensive re-platforming. Amazon Elastic VMware Service (EVS) is designed to address this need by allowing users to run their VMware workloads natively on AWS.

Read post
AI Agents: How MCP is Standardizing Tool Use and Collaboration
Nick Chase
May 30, 2025

The API for AI Agents: How MCP is Standardizing Tool Use and Collaboration

This blog introduces the Model Context Protocol (MCP), a new standard for enabling seamless collaboration between AI agents by unifying how they access tools and context. It explains how MCP breaks down integration silos, supports dynamic workflows, and fits into the growing ecosystem of AI interoperability protocols—paving the way for truly intelligent, multi-agent systems.

Read post
A Business Leader’s Guide to AWS App Modernization
Nick Chase
May 28, 2025

From Legacy to Leading Edge: A Business Leader’s Guide to AWS App Modernization

In today's relentlessly evolving business landscape, technology has decisively shifted from a mere support function to the very engine of business strategy and competitive differentiation. The pressure is immense: deliver value faster, pivot with market dynamics, and satisfy ever-increasing customer expectations. Businesses that can harness technology effectively will lead, while those that don't risk falling behind. This is where the concept of application modernization becomes not just relevant, but critical.

Read post
Discover how data accessibility transforms AI process agents from basic bots to powerful business assets. Learn practical integration strategies for real impact.
Nick Chase
April 25, 2025

How the Right Data Makes AI Process Agents Effective

Unlock the full potential of AI process agents with strategic data access. No rip-and-replace needed—just smarter integrations and cross-functional visibility.

Read post
AI Crash Course
Nick Chase
March 28, 2025

AI Crash Course Recap

AI agents are becoming practical tools that autonomously perform tasks, support decision-making, and adapt to business needs. By starting with focused, high-value use cases and ensuring strong data governance and human oversight, organizations can unlock real value while building long-term capability.

Read post
Discover the four foundational pillars of a data-centric approach to AI—quality data, robust pipelines, continuous feedback, and data governance—to build scalable, high-performing AI systems.
Nick Chase
March 26, 2025

Four Key Pillars of a Data-Centric Approach to AI

A data-centric approach to AI prioritizes improving data quality over tweaking models or code. As AI shifts toward unstructured data like text and images, traditional tools fall short. Data and analytics architects can address these challenges using four key pillars: data preparation and exploratory analysis, feature engineering, data labeling and annotation, and data augmentation. These pillars enable the creation of high-quality, AI-ready datasets, enhanced by modern tools like automation, low-code platforms, and synthetic data generation for scalable, intelligent systems.

Read post
Discover the differences between AI agents and RPA, their strengths, limitations, and how combining them can unlock smarter automation, improve efficiency, and drive innovation across business operations.
Nick Chase
March 20, 2025

AI Agents vs. RPA: Decoding the Automation Revolution

Explore the critical differences between AI agents and RPA. Learn their strengths, limitations, and how businesses can combine both to drive intelligent, scalable, and future-ready automation strategies.

Read post
Discover how AI agents can streamline operations, enhance efficiency, and drive innovation. This guide covers key steps for business leaders, from selecting the right AI technology to deployment, maintenance, and ethical considerations.
Nick Chase
February 13, 2025

Embracing the AI Agent Revolution: A Practical Roadmap for Business Leaders

This blog provides a practical roadmap for business leaders looking to adopt AI agents to streamline operations, enhance efficiency, and drive innovation. It covers key steps, including identifying opportunities for AI agents, selecting the right technology, deploying AI solutions, and ensuring long-term success through maintenance and ethical considerations. Whether you're just starting your AI journey or refining existing implementations, this guide helps businesses harness AI agents effectively while mitigating risks.

Read post
AIOps: Insights from an Article Close to My Heart
Nick Chase
November 14, 2024

AIOps: Insights from an Article Close to My Heart

AIOps leverages AI to automate IT operations, reducing downtime by analyzing vast data streams and predicting issues. The next step, agentic systems, enables AI to autonomously resolve problems, but this raises concerns around trust, making explainable AI essential. Responsible AI ensures ethical, fair, and secure operations, establishing guardrails as autonomous systems gain prominence.

Read post
Breaking Down Data Silos: Empowering Cross-Departmental Collaboration with a "Collective Data Fabric"
Nick Chase
November 13, 2024

Breaking Down Data Silos with a Collective Data Fabric

Data silos are the natural result of decentralized systems and tooling decisions that optimize for individual departments rather than the organization as a whole. Common entities like "client," "customer," or "user ID" often differ across departments, complicating data integration -- custom ETL (extract, transform, load) processes (read: spaghetti code) that are challenging to scale and maintain. It doesn't have to be that way.

Read post

Get your data, applications, and infrastructure ready for the AI revolution

Get your data, applications, and infrastructure ready for the AI revolution

Take your DevOps practices to the next level with Cloud Native & Platform Engineering

Take your DevOps practices to the next level with Cloud Native & Platform Engineering
CloudGeometry Education

AI Crash Course

Join our free 1-hour Technical online crash course and discover how AI Agents can streamline operations, eliminate bottlenecks & enhance decision-making.
Why Take This Course?
AI Agents are transforming industries, and understanding them is key to staying ahead. This course equips you with technical insights to integrate AI into your business strategy.
What You’ll Learn
Foundational AI Knowledge — Acquire a comprehensive understanding of artificial intelligence concepts as they relate to agents, tailored for decision-makers without a technical background.
Real-World Tools— Learn how to use tools such as Python, Langchain, AutoGen, or Crew.ai to gain foundational skills in designing your AI Agents
Practical Insights — Engage with interactive learning modules, real-world case studies, and expert guidance to apply AI concepts directly to your industry, unlocking the potential of AI Agents for your business.

:
"In today's rapidly evolving business landscape, understanding the fundamentals of AI Agents is no longer optional for technology, product and business leaders."

Accelerate your business with a tailored AI crash course designed specifically for your organization!