Learn key considerations around data preparation, model fine-tuning, deployment strategies, and ethical AI to prepare you to build scalable GenAI applications.
Check the platforms that provide developers with powerful tools to monitor, debug, and optimize AI agents, ensuring their reliability, efficiency, and scalability.
February 19, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
The development of intelligent applications has seen exponential growth since the convergence of Microservices architecture and cloud-based AI services.
Real-time data streaming delivers fast insights but raises privacy and compliance risks. Use encryption, tokenization, and policy enforcement for secure streaming.
This article covers how key-value caching works and how it helps optimize large language models. It includes a text generation process to make it easy to understand.
Learn how to configure Amazon S3 Cross-Region Replication using Terraform to automate and streamline data redundancy, compliance, and disaster recovery setups.
This article discusses using a Kubernetes sidecar for container checkpointing: build, push, deploy to K8s, and trigger checkpoints via API for state management.
The D-CoT architecture decouples reasoning from execution in LLM by centralizing reasoning in a "modulith" and delegating execution tasks to specialized modules.
Enterprise dev isn’t just coding — it’s chaos management. From legacy systems to scaling for 80k users, learn to build apps that solve problems without breaking.
Building a Flask-based web app that has dynamic querying for population thresholds, Redis caching for faster queries, and secure, scalable architecture.
Learn to manage asynchronous data in React by integrating RxJS for cleaner code, efficient API handling, and enhanced performance through reactive programming.