Insights

Notes from the engineering desk.

Opinionated, evidence-led writing on the systems we build — AI engineering, cloud and FinOps, modernization, and architecture.

Subhendu NayakApr 25, 2025

Amazon's Custom ML Accelerators: AWS Trainium and Inferentia

Explore Amazon Trainium and Inferentia: AWS's custom chips for scalable, cost-efficient machine learning training and inference in the cloud.

Visak KrishnakumarApr 24, 2025

7 Key Benefits of Adopting a Multi-Cloud Strategy for Your Business

Explore the 7 key benefits of multi-cloud strategies and how they enhance security, scalability, and cost efficiency for businesses.

Subhendu NayakApr 22, 2025

Google TPU Ironwood: Revolutionizing AI Inference at Scale

Discover Google’s TPU Ironwood, a next-gen AI accelerator optimized for high-performance inference, offering efficiency and scalability for real-time AI tasks.

Visak KrishnakumarApr 21, 2025

AI-Powered Cloud Security: Smarter Protection for Modern Threats

AI-powered cloud security safeguards your data with real-time threat detection, adaptive intelligence, and automated defense mechanisms for proactive protection.

Subhendu NayakApr 18, 2025

Optimizing Machine Learning with Cloud-Native Tools for MLOps

Explore how cloud-native tools for MLOps streamline machine learning workflows, from data management to deployment, boosting efficiency and scalability across industries.

Subhendu NayakApr 15, 2025

TPU vs GPU: What's the Difference in 2025?

Explore the differences between TPUs and GPUs in 2025, including Google’s new Ironwood chip, for AI training, inference, and real-world performance.

Subhendu NayakApr 14, 2025

Mastering AWS Transit Gateway: Architecture, Use Cases & Best Practices

Explore AWS Transit Gateway architecture, use cases, security, integration, and best practices for optimizing network performance and scalability in the cloud.