Software Development
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Under the Hood of vLLM: Memory, Scheduling & Batching Strategies
As large language models (LLMs) grow in size and complexity, running them efficiently has become one of the most challenging…
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Building Auditable ML Pipelines: Techniques for Explainability & Tamper Resistance
As machine learning (ML) systems move from research labs into critical production environments â healthcare, finance, cybersecurity, and beyond â…
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Continuous Delivery for Django Apps with Kubernetes: Blue/Green & Canary Deployments
As web applications scale and user expectations for uptime grow, traditional deployment methods become insufficient. Continuous Delivery (CD) bridges this…
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Linear and Affine Types for Memory-Bounded Model Serving
Modern AI systems increasingly rely on deploying large machine learning models efficiently at scale. Yet, one of the most pressing…
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IoT Security Best Practices â Using Eclipse Projects to Secure Data at the Edge
As the Internet of Things (IoT) continues to expand, the edge has become the new frontier for data processing and…
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Uniting APIs and Databases for Seamless Connectivity
In todayâs digital landscape, the demand for fast, reliable, and scalable applications has never been higher. Behind the scenes, most…
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Mixing Java and Python: Building Polyglot Apps for AI and Data Science
Enterprise software runs on Java. Data science thrives in Python. Rather than forcing an either-or choice, smart teams build polyglot…
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A Guide to Using GitHub from the Command Line with GitHub CLI
GitHub is the worldâs most popular platform for hosting and collaborating on software projects. Traditionally, we interact with GitHub through…
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Microservices Madness: Practical Patterns That Keep Your Services Resilient
Microservices are like that friend whoâs a blast at parties but a headache the next day. They promise flexibility, scalability,…
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