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This article is about how I run two personal AI assistants — one for myself and one for my wife — on a single dedicated server, at a cost that might surprise you. It covers the deployment model, the security rationale, how users interact with their agents day to day, and what it would take […]

Introduction In the current IT landscape two emerging philosophies are shaping the debate in the Data/Big Data/Analytics space. Data Mesh – or decentralized agility – and Data Fabric – or integrated connectivity. Data Mesh, championed by Zhamak Dehghani, among others, emphasizes decentralization and domain-oriented data ownership. It envisions treating data as a product and promotes

Running PostgreSQL as an Amazon RDS (Relational Database Service) offers several benefits, providing a managed and scalable environment for PostgreSQL databases. Here are the key characteristics and features of running PostgreSQL on AWS RDS: Conclusion: Running PostgreSQL on AWS RDS combines the flexibility and power of PostgreSQL with the ease of management provided by a

Introduction: While Amazon RDS for PostgreSQL offers a fully managed database service that automates many administrative tasks, it comes with several limitations and drawbacks. These restrictions arise primarily due to AWS’s management model, which prioritizes ease of use, automation, and security over full administrative control. Below are key reasons why one should not implement PostgreSQL

Introduction: In the ever-expanding realm of programming languages, Java and Python stand as titans, each with its own strengths, weaknesses, and dedicated communities. As developers and organizations grapple with the decision of which language to embrace, a closer examination of Java and Python becomes imperative. In this blog post, we’ll embark on a journey of

Running an Oracle Database in AWS provides several options to meet various performance, scalability, and cost requirements. Here are the key options for running Oracle Database in AWS: Considerations: The choice between these options depends on factors such as the level of control needed, scalability requirements, management preferences, and existing infrastructure. It’s essential to assess

Introduction: In the ever-evolving landscape of data management, two prominent methodologies, Data Mesh and Data Fabric, have emerged as key players in reshaping how organizations handle their data ecosystems. Both approaches aim to address the challenges of scalability, flexibility, and agility in the era of big data. In this article, we delve into the nuances

Introduction In the world of DevOps and infrastructure automation, two powerful tools frequently come up in discussions—Terraform (or OpenTofu) and Ansible. While at first glance they may seem like competing solutions, they are in fact highly complementary. When used together, they create a seamless and efficient approach to infrastructure and configuration management, significantly speeding up

Introduction CapEx (Capital Expenditure) and OpEx (Operating Expenditure) are two categories of business expenses, but they are utilized in different ways, reflect different types of spending, and have distinct accounting and tax implications. CapEx (Capital Expenditure) OpEx (Operating Expenditure) Key Differences Understanding the distinction between these types of expenditures is crucial for financial planning, budgeting,

Introduction: In the digital age, where data is often hailed as the new currency, the role of data architecture becomes paramount. Data architecture is the foundational blueprint that defines how an organization’s data is collected, stored, processed, and accessed. In this blog post, we’ll explore the intricacies of data architecture, its key components, and why