Learn how AI, observability, predictive maintenance, and resilience are helping service organizations move beyond reactive operations and improve uptime.
Azure Databricks and Microsoft Fabric overlap, but they're built for different priorities. Databricks for data engineering, ML, open-source, and Spark workloads.
AI can only defend what it can see. Give it incomplete data, and it won't warn you. It quietly reports everything as healthy while real attacks slip through unseen.
HTTP QUERY gives Java REST APIs a cleaner way to handle complex searches with request bodies, avoiding long URLs and POST misuse while keeping reads explicit.
A five-minute walkthrough for adding logs, traces, and error monitoring to a React Native iOS app using LaunchDarkly's Observability SDK, shown on a simple counter app.
A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.
The focus is on distributed systems resilience, specifically the integration gap between application abstractions and high-availability infrastructure layers.
Prompt injection hijacks an LLM by exploiting its inability to separate data from commands. Direct and indirect attacks require layered defenses, not one fix.
Generate API gateways directly from OpenAPI specs to eliminate configuration drift, simplify maintenance, and keep your API contract as the single source of truth.
OBO (On-Behalf-Of) allows a Java API to securely call downstream services using the authenticated user's identity instead of the application's identity.