You'll learn how to set up your first Dropwizard project, create a RESTful API, and run it with an embedded Jetty server — all using minimal boilerplate.
Cut through the complexity and spotlight the essential metrics you need on your radar to quickly detect and address issues in production Kubernetes clusters.
New testing techniques, smarter anomaly detection, and multi-cloud strategies are improving data reliability. Advanced tools are revolutionizing data quality management.
Discover how developers can drive innovation by combining IoT and AI to create transformative solutions and unlock new opportunities across industries.
Learn how Spark Structured Streaming and cloud services optimize real-time data integration with scalable, fault-tolerant workflows for modern applications.
A big data ML solution using PySpark to link bank accounts and transactions for a unified customer view (Customer 360), while detecting fraud implicitly.
Learn about the most common encryption and authentication methods per the IEEE 802.11 standards, how to write your own packet sniffer and use Wireshark.
Global data centers need consistent configurations, but engineers misalign across regions. This paper explores the problem, existing solutions, and a proposed approach.
Master entity-based data masking with best practices in identifying sensitive data, defining clear policies, preserving relationships, and auditing access.
Are repeated requests killing your backend? NGINX caching can quietly absorb the load, cut latency, and keep your pipelines flowing — no code changes needed. Here's how!
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