MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
Hashing detects tampering, but it doesn't prevent it. Here is an architectural pattern for securing business-critical files using Amazon QLDB and the Symbol Blockchain.
H100 GPUs are best for flexibility, fast iteration, and custom CUDA work. TPU v5p wins on GCP for large-scale LLM training with better cost efficiency and scaling.
Cloud systems drift when exceptions accumulate, and decisions lose connection to original objectives. Clear requirements and early security design prevent sprawl.
Modify URI-based API versioning to use date-based versions, easing operations, ensuring immutability, and also separating core logic from API responses.
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.
Compare planning and execution times for similarity searches using trigram matching, case-insensitive regex and wildcard patterns, with and without GiST or GIN indexing.
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.
How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.