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Articles on building things — cloud platforms, AI agents, data pipelines, mobile apps, and the occasional robotic arm.

55 ARTICLES · 2012 — 2026 · PAGE 4 OF 6

2021 1 posts

on Translucent Computing

Workflow Engine -- Data Pipeline

Explains foundational workflow and data pipeline concepts including DAGs, and introduces Apache Airflow as a mature workflow manager for cloud-native environments.

2020 8 posts

on Translucent Computing

What is Kubernetes, and Why are My Cloud Costs So High?! -- Part 1

Demystifying Kubernetes and understanding why cloud costs spiral when running containerized workloads without proper resource management.

on Translucent Computing

Text-To-Speech Example

Demonstrates audio generation for blog content using text-to-speech technology with Python and Jupyter Notebook.

on Translucent Computing

Bimodal Helm Charts

Explores bimodal IT management approaches applied to Helm chart configurations for Kubernetes deployments.

on Translucent Computing

Performance Waveform Generator Starter Notebook

Starter notebook demonstrating sine wave generation with noise, using pandas for data processing and spectrogram visualization in Python.

on Translucent Computing

Using SymPy to Build ECG Model

Applies computational mathematics using SymPy for symbolic, numerical, and graphical approaches to building an ECG model.

on Translucent Computing

SymPy and ECG Notebook

Companion Jupyter notebook for the SymPy ECG model post, providing runnable code for electrocardiogram modeling.

on Translucent Computing

Optimizing code with pandas and NumPy

Discusses SciPy framework optimization techniques for data science using pandas and NumPy for improved performance.

on Translucent Computing

Pandas and NumPy Performance Test Notebook

Testing notebook demonstrating how to optimize Python code with pandas and NumPy for improved computational efficiency.

2019 1 posts

on Translucent Computing

Performance In Jupyter Python

Examines Jupyter magic commands for systematically identifying and resolving performance bottlenecks in Python code.