A scalable control architecture for cloud data pipelines using Query Vault, controller procedures, and triggers to enable smart restarts, logging, and automation.
With growing computing power for AI and its misuse in cyberattacks like autonomous exploits, deepfake scams, and smart malware becomes even more worrisome.
In this article, learn how to set up centralized configuration in Spring Boot using HashiCorp Consul for dynamic, environment-specific settings management.
Learn how to build resilient microservices with Kubernetes, gRPC, and the Circuit Breaker pattern to prevent cascading failures and improve reliability.
In modern cloud-native systems, services often run across multiple pods or nodes for scalability and high availability, introducing challenges in data consistency.
Choosing the right API architecture depends on your application’s specific needs like it's enterprise integration, user interaction or deep protocol-level communication.
Optimize Spark jobs by tuning configurations, writing efficient code (Data Frames, broadcast joins), using optimized storage, and monitoring the Spark UI and logs.
Synthetic data lets quants stress-test equity strategies beyond noisy markets, preserving volatility, and building resilience before risking real capital.
This article explores the challenges faced, the solutions adopted, and the prospects for further improving the process. The rules vary depending on the guidelines.
In this article, I have demonstrated how Iceberg Data can be accessed through the Iceberg REST Catalog from Data Mesh with a simple Python application.
Spring AI agentic patterns show how to coordinate multiple ChatClient calls to LLMs. We look at how Dapr Workflows can make these interactions durable and resilient.