Kafka isn’t one-size-fits-all. Choose between self-managed, serverless, or BYOC deployments. New RPO=0 options now enable zero data loss for real-time applications.
Proven techniques for production vector search including when to use each one, how to combine them effectively, and trade offs to understand before deployment.
This project demonstrates a production-ready approach to deploying a containerized Quarkus API on AWS EKS/Fargate, leveraging Infrastructure as Code through the AWS CDK.
This article shows how to use the Aho–Corasick algorithm and deterministic tokenization in Spring Boot to intercept logs in real time, remove sensitive values.
Learn about logging challenges after migrating UiPath Orchestrator to Automation Cloud and robot-level log ingestion as a scalable observability approach.
This tutorial demonstrates automated deployment using a CI/CD pipeline with Mule 4. It shows how code pushed to a Git repository triggers deployment automatically.
Small language models (SLMs) enable faster, efficient, and on-device AI, reducing costs while making advanced AI accessible to more users and businesses.
In this post, learn how to build scalable, reliable retail data pipelines with Google Cloud: Pub/Sub, Dataflow, BigQuery, and Cloud Composer in action.
Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.
Data engineers who think like product managers build more valuable, trusted, and user-centric data systems; they focus on outcomes, ownership, and UX, not just pipelines.