Autoscaling isn’t real elasticity — it’s slow, reactive, and can mislead. Use demand metrics, keep warm capacity, and pair with circuit breakers & observability.
CI/CD-driven modernization of data platforms, improving release speed, observability, and reliability through automation, parallelization, and job-level telemetry.
Retry transient failures, route poison messages to a DLQ, and deduplicate with a DB table three layers that turn a fragile Kafka consumer into a fault tolerant one.
PDF chatbot demo comparing LLM+API vs MCP: direct calls are simple for one app; MCP adds a server layer for tool discovery, reuse, and standardization.
In this article, you will learn how to log incoming requests in Spring Boot, using the class CommonsRequestLoggingFilter, through some simple configuration steps.
Platform turning complex smart meter data into usable, real-time insights via APIs — enabling scalable analytics, efficiency, and smarter energy decisions.
Learn how to use PostgreSQL to generate random data for testing purposes, and use PL/pgSQL to automatically insert random values into your database tables.
Egress — not compute — drives surprise cloud costs. Fix it by designing for data locality, using compression/caching wisely, and actively monitoring data flows.
A startup builds API security from day one using identity, mTLS, validation, and automation — embedding defenses into architecture instead of reacting after failures.
This article explores a practical and resilient design pattern that addresses this problem by embracing asynchronous processing and eventual consistency.