One common approach to significantly speed up training times and efficiently scale model inference workloads is to deploy GPU-accelerated deep learning microservices to the cloud, enabling flexible, on-demand compute for training and inference tasks.  This article provides a comprehensive guide covering the setup and optimization of such a microservice architecture. We’ll explore installing CUDA, choosing the right Amazon EC2 instances, and architecting a scalable, GPU-enabled deep learning platform on AWS ..read more

Tackling the Repetition If you've worked with IBM App Connect Enterprise (ACE) for any length of time, you’re probably familiar with the repetitive nature of installations. Each setup involves the same predictable steps: unpacking the release files, configuring directories, updating scripts, adjusting ODBC entries, setting up the runtime environment, and verifying that everything runs smoothly.  While these steps might seem routine, the manual process is inherently prone to human error. A missed step, such as skipping a configuration file or mistyping a path, can cause inconsistencies tha ..read more

Topic: High-level design of an e-commerce platform like Amazon, Walmart, etc. Objective: Big picture, challenges, options to overcome those ..read more

Recently, I delivered a lecture to my colleagues on event sourcing, and I realized that this introductory information could be valuable to a broader audience. This article is useful for those interested in the concept of event sourcing and who want to decide if it's a good fit for their projects while avoiding common pitfalls. So, let's dive in ..read more

PostgreSQL logical replication provides the power and organization behind a pgEdge replication cluster, allowing you to replicate tables selectively and, on a more granular level, the changes in those tables. Whether you're using pgEdge Distributed PostgreSQL replication for real-time analytics, low latency, or high availability, optimizing replication configuration and query use allows you to optimize for performance, consistency, and reliability. Postgres replication is a powerful tool for replicating data between databases; unlike physical replication, logical replication gives you more con ..read more

Why Smart Cities Need Advanced AI Managing cities today is an increasingly complex task. Urban centers face challenges like: Traffic congestion, which affects daily commutes and the economy. Infrastructure maintenance, where damaged roads or broken utilities need quick attention. Air quality and environmental monitoring, critical for public health and safety. City planners, traffic managers, and environmental regulators rely on data to make decisions, but often, this data is siloed or outdated. For example, when a city planner asks, “Which roads need repairs and how should traffic be reroute ..read more

Workplace injuries from poor posture cost industries billions annually. While traditional ergonomic assessments are manual and periodic, we developed an AI-powered solution that provides real-time monitoring and feedback.  Here's how we built it using Python, MediaPipe, and OpenCV ..read more

AWS Step Functions Local is a useful tool for testing workflows without deploying them to the cloud. It allows developers to run state machines locally using Docker, enabling faster iteration and debugging.  However, while testing our Step Function locally, we encountered significant limitations, particularly when trying to mock an http:endpoint task ..read more

As artificial intelligence continues to evolve, deploying AI-powered applications efficiently and at scale has become critical. Kubernetes, the de facto orchestration platform, plays a crucial role in managing containerized AI workloads, ensuring scalability, resilience, and ease of management.  In this article, we explore DeepSeek on Kubernetes, a deployment that integrates DeepSeek-R1, a powerful reasoning AI model, with Open WebUI for seamless interaction.  ..read more

API development should be about solving business problems, not repeating the same tedious tasks over and over again. Yet, for many developers, API creation is still bogged down by inefficiencies — from writing boilerplate code to manually managing integrations, security, and documentation. The traditional approach forces developers to spend too much time on infrastructure and maintenance, instead of focusing on what actually matters: delivering scalable, reliable APIs that support business needs ..read more