AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.
ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.
Feature flags and safe rollouts with Azure App Configuration for large SPA teams, hands-on setup, core principles, TypeScript code for backend and frontend.
Learn the technology and architecture behind building AI Cloud and why high performance storage is important. Explore the latest benchmarks and understand the market.
Build long-running workflows by separating orchestration from execution, persisting state, and using events or callbacks to pause and resume without holding compute.
An in-depth analysis of cloud migration strategies, examining how different approaches apply to individual scenarios using real-world enterprise examples.
Microservices solve scalability problems but introduce troubleshooting nightmares. Here is a practical architectural pattern to unify logs, metrics, and traces.
Split control and data planes with versioned snapshots and four contracts — routing, policy, limits, release — for safer rollouts and reliably boring systems.
Kafka isn’t one-size-fits-all. Choose between self-managed, serverless, or BYOC deployments. New RPO=0 options now enable zero data loss for real-time applications.
This project demonstrates a production-ready approach to deploying a containerized Quarkus API on AWS EKS/Fargate, leveraging Infrastructure as Code through the AWS CDK.
Learn about logging challenges after migrating UiPath Orchestrator to Automation Cloud and robot-level log ingestion as a scalable observability approach.