Originally published on the Presidio blog - sharing here as it captures the current reality around agentic AI in enterprise modernization. The pitch behind agentic application modernization is…

Here's what nobody wants to say out loud: your cloud security posture is probably worse today than it was three years ago. Not because you're doing less—you're doing more. You've deployed every…

Your AI agent project is going to fail. Not because the technology doesn't work—it does. Not because your team isn't smart—they are. It's going to fail because you're building the wrong thing, for…

Introduction Artificial Intelligence (AI) and Machine Learning (ML) are no longer just buzzwords floating around tech conferences and boardroom discussions. They have become integral components of…

Introduction Artificial Intelligence (AI) and Machine Learning (ML) are no longer just buzzwords floating around tech conferences and boardroom discussions. They have become integral components of…

Introduction Artificial Intelligence (AI) and Machine Learning (ML) continue to redefine how businesses operate, offering unprecedented opportunities for innovation and efficiency. The cloud has…

Last month, a senior ML engineer with nine years of experience posted a question that resonated across the industry: "Is senior ML engineering just API calls now?" The post attracted 385 upvotes…

The AI industry just hit a counterintuitive inflection point that should concern every CTO deploying large language models in production: the more sophisticated our reasoning models become, the…

The conversation around AI infrastructure costs has shifted dramatically in the past year. Every CTO and engineering leader is asking the same question: should we run our own LLMs or stick with…

The enterprise AI landscape is experiencing a seismic shift that most CTOs haven't fully grasped yet. While we've been laser-focused on AI implementation and performance metrics, a more…

The numbers are staggering: generative AI training clusters consume 7-8 times more energy than traditional computing workloads. That's not a typo. Seven to eight times. As data center power…

After spending the last several years architecting AI workloads across AWS, Azure, and GCP, I've come to a sobering conclusion: our current cloud infrastructure was built for yesterday's…

Having built teams for over two decades, I've watched onboarding evolve from handwritten manuals to polished video libraries. But as AI reshapes how we work, it's time to ask some hard questions…

After 25 years in technology leadership, I’ve witnessed hiring practices evolve from whiteboard algorithms to LeetCode marathons. While I haven’t been actively hiring lately, the conversations I’m…

As artificial intelligence continues to transform industries, the demand for specialized cloud infrastructure has reached unprecedented heights. The next generation of AI applications requires not…

The shift toward AI workloads has fundamentally changed how we approach cloud infrastructure design. Traditional architectures, optimized for web applications and microservices, often fall short…

A deep dive into the data engineering, automation, and machine learning powering next-generation marketing measurement platforms—covering scalable data workflows, experiment automation, and the technical challenges of building a true system of record for marketing analytics.

In today's rapidly evolving AI landscape, organizations are increasingly faced with the challenge of building robust, scalable infrastructure to support their machine learning initiatives. While…

In the ever-evolving cloud landscape, event-driven serverless architectures have emerged as a powerful paradigm for building scalable, resilient, and cost-effective systems. By combining the…

After years in technology consulting, I've learned that technical expertise is only half the equation. The other half? The art of maintaining professional relationships and protecting all parties…

In the world of DevOps, automating infrastructure deployment securely is crucial. This blog post will guide you through setting up GitHub Actions to automatically deploy your Terraform…

In today's digital-first environment, businesses and organizations can leverage intelligent document processing (IDP) to effectively manage and utilize the massive influx of data embedded in…

Two terms often surface in Artificial Intelligence: Fine-Tuning and Retrieval-Augmented Generation (RAG). Both play pivotal roles in enhancing the capabilities of AI models, yet they serve…

In DevOps and continuous integration/continuous deployment (CI/CD) pipelines, optimizing containers' build and deployment processes is crucial for efficiency and resource management.

Every February 2nd, a quirky tradition captivates people across North America. Groundhog Day, rooted in folklore, promises an early spring or prolonged winter based on a groundhog's shadow…

The video industry has undergone a significant transformation in recent years, with the rise of over-the-top (OTT) video services and the increasing popularity of streaming platforms. According to…

The year 2023 has been monumental in technology, with innovations that have significantly impacted our daily lives. Let's revisit the three critical technological trends of the year, each exemplified by groundbreaking developments.

Introduction As we approach 2024, the landscape of application deployment and infrastructure management continues to evolve rapidly. Two pivotal technologies that continue to be at the forefront…

In the dynamic and rapidly evolving field of DevOps, team engagement isn't just beneficial—it's essential. As businesses increasingly rely on seamless integration between software development and…

Managing engineers in a hybrid work environment presents unique challenges and opportunities. In this post, we'll explore effective strategies for fostering collaboration, communication, and…

In the fast-evolving landscape of technology, where innovation and change are the only constants, the role of a technical leader is both pivotal and challenging. Technical leadership transcends…

Artificial Intelligence (AI) has become a ubiquitous term in the realms of technology, business, and everyday life. Despite its prevalence, the nuances of AI technology are often clouded by…

Mastering cloud architecture is akin to weaving a complex tapestry—every stitch matters. This deep dive into Terraform's orchestration for GCP offers a blueprint for architects to design, deploy, and dominate the cloud landscape.

Comparing Cloud Platforms for Application Development & CI/CD: AWS, GCP, Azure, with GitHub Actions

n this article, we'll explore using Terraform to set up a CI/CD pipeline with Azure and GitHub Actions. The combination of Azure and GitHub Actions emerges as a potent, flexible, and popular choice among developers and organizations.

Part 2: Setting up the certificates In the preceding part of this series, we set up the groundwork for a simple Todo App running Microsoft Azure. Next, we set up a secure SSL certificate for the…

And there you have it - a working todo app running on Microsoft Azure with CI/CD enabled.

In today's ever-evolving cloud ecosystem, choosing the right provider for an effective Continuous Integration and Continuous Deployment (CI/CD) experience has become challenging.

Continuous Integration (CI) and Continuous Deployment (CD) are software development practices that involve automatically building, testing, and deploying software changes to a production environment.

Hello, digital denizens! In the vast expanse of the cloud computing universe, you've now landed on a solitary yet significant constellation—The Cloud Codex. This is more than just a website; it's…