Software testing is a feedback system that drives better decisions. Learn how effective feedback, CLEAR principles, and testing levels improve quality and teamwork.
Reactive auto-scaling wastes cloud budgets on idle servers. Learn to replace it with a predictive C# and ML.NET engine that forecasts latency and scales proactively.
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.
Runaway cloud spend hides in healthy systems — driven by poor cost visibility, idle resources, and scaling inefficiencies. Fix it with cost-per-request metrics.
Enterprise GIS platforms blend IT & OT, offering vital operational insight. To protect critical systems, secure the boundary with zero-trust principles and segmentation.
This deep dive explores integrating Bucket4j with Embedded Infinispan to implement a distributed rate limiter with logic execution directly on the data-owning node.
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.
Claude Code turns your terminal into an AI collaborator — automating coding loops, scaling workflows, and accelerating development with structured, agentic execution.
Learn how agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.
Egress — not compute — drives surprise cloud costs. Fix it by designing for data locality, using compression/caching wisely, and actively monitoring data flows.