Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Identity and Access Management Identity and Access Management (IAM) is a critical aspect of DevSecOps. It involves managing user identities and controlling their access to resources based on their roles and responsibilities. IAM includes the following activities: Infrastructure as Code […]
Read more →Mastering Google Cloud Dataflow: Building Unified Batch and Streaming Pipelines at Scale
Introduction: Google Cloud Dataflow provides a fully managed, serverless data processing service built on Apache Beam that unifies batch and streaming pipelines. This comprehensive guide explores Dataflow’s enterprise capabilities, from pipeline design patterns and windowing strategies to autoscaling, cost optimization, and production monitoring. After building data pipelines processing terabytes daily across multiple cloud providers, I’ve […]
Read more →FHIR Integration Best Practices: Lessons from Production
Executive Summary FHIR (Fast Healthcare Interoperability Resources) has become the de facto standard for healthcare data exchange. This article shares production-tested best practices from implementing FHIR integrations across multiple EMR systems, processing 50M+ API calls monthly. 🏥 HEALTHCARE INTEROPERABILITY SERIES This article is part of a comprehensive series on healthcare data standards and interoperability. HL7 […]
Read more →Security as Code: Why DevSecOps Is No Longer Optional in 2025
The traditional approach to security—treating it as a final checkpoint before deployment—has become a liability in modern software delivery. After two decades of building enterprise systems, I’ve witnessed the painful evolution from “security as an afterthought” to “security as code.” In 2025, DevSecOps isn’t just a best practice; it’s a survival requirement for any organization […]
Read more →Multi-Modal LLM Integration: Building Applications with Vision Capabilities
Introduction: Modern LLMs understand more than text. GPT-4V, Claude 3, and Gemini can process images alongside text, enabling applications that reason across modalities. Building multi-modal applications requires handling image encoding, managing mixed-content prompts, and designing interactions that leverage visual understanding. This guide covers practical patterns for integrating vision capabilities: encoding images for API calls, building […]
Read more →LLM Rate Limiting and Throttling: Building Resilient AI Applications
Introduction: LLM APIs have strict rate limits—requests per minute, tokens per minute, and concurrent request caps. Hit these limits and your application grinds to a halt with 429 errors. Worse, aggressive retry logic can trigger longer cooldowns. Proper rate limiting isn’t just about staying under limits; it’s about maximizing throughput while gracefully handling bursts, prioritizing […]
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