Learn all about scalable, cloud-native architectures with microservices and serverless technologies, boosting agility, performance, and cost-efficiency.
A secure MCP server can still break production. Twenty heuristic rules score readiness by catching missing timeouts, unsafe retries, and absent error schemas.
At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.
Migrating from DLT to Lakeflow is mostly an API refactor, swapping DLT for pipelines, separating streaming and materialized tables, and updating CDC logic.
Data fetching without filters or limits is a costly, hidden bug in the backend. API parameters must flow into SQL queries, not filter after full data transfer.
Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.
Healthy cloud systems can still hemorrhage money. This article outlines FinOps strategies, from tagging and anomaly detection to CI/CD cost guardrails.
AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.
Automated TLS termination for thousands of custom domains on HAProxy. DigiCert HTTP DCV, internal KMS, sync agents, HAProxy runtime API for zero-downtime cert updates.