https://sudonull.com/api-design-errors-guide-for-developers
Practical Guide to Avoiding 10 Critical Errors in API Design and Implementation: HTTP Statuses, Error Handling, Pagination, Versioning, Idempotency and Data Validation.
https://sudonull.com/api-design-errors-guide-for-developers
Practical Guide to Avoiding 10 Critical Errors in API Design and Implementation: HTTP Statuses, Error Handling, Pagination, Versioning, Idempotency and Data Validation.
https://sudonull.com/offline-bi-in-asapbi-docker-and-clickhouse
Set up a local BI stack in asapBI for work without internet. Docker Compose, graphical Views, Git versioning. Instructions for developers: step by step.
https://sudonull.com/bi-system-on-datalens-and-postgresql-for-wb-ozon
Learn how to build a scalable BI system for marketplaces: from API export to optimized dashboards. Cost versioning, precalculations, automation. Instructions for developers.
https://sudonull.com/token-analysis-of-design-systems-metrics-and-control-tools
How to Automate Token Control in a Design System? We Break Down Quality Metrics, Health Score, and Tokens Dashboard Modes. Learn How to Avoid Errors During Versioning.
https://sudonull.com/how-to-design-a-restful-api-with-best-practices-guide
Learn how to design a RESTful API with best practices for lasting quality. Master resource naming, HTTP methods, versioning, security, and performance optimization.
Learn how to use Terraform with AWS step by step. Master provider setup, state management, security, and production-grade deployments. Start building today.
Learn how to design RESTful APIs for web applications with best practices on URIs, HTTP methods, versioning, and documentation. Build scalable, intuitive APIs that developers love.
Learn how to implement JWT authentication securely in your web API. This complete guide covers token issuance, validation, best practices, and production security.
Learn what is MLOps and why it is important for AI success. Discover key concepts, benefits, and how it bridges data science and operations for scalable ML.
Kubernetes architecture explained with examples: understand control plane, worker nodes, Pods, and deployment flow. Learn how clusters work with practical use cases.
Learn how does kubernetes manage container scaling and load balancing with HPA, cluster autoscaler, and service mesh. Master production-grade autoscaling and traffic distribution.
Figure AI introduced the humanoid robot Figure 02 with physical AI and OpenAI language model. The robot passed tests at BMW factories. Learn how humanoid robots are changing manufacturing.
Learn how to deploy LLM in production with this step-by-step guide. Covers model selection, Kubernetes deployment, vLLM, testing, and monitoring for reliable AI systems.
Learn how to set up CI/CD pipeline with GitHub Actions. Step-by-step guide with YAML examples for automated testing, Docker builds, and deployment.
Learn how Netflix scales its streaming infrastructure with AWS, Open Connect CDN, and chaos engineering. Discover the tech behind 270M subscribers and sub-100ms latency.