Distributed AI systems fail faster than humans can respond, making traditional response insufficient. Self-healing systems use telemetry and automation to recover early.
Agentic AI transforms DevOps from reacting to incidents to systems that understand, decide, and act on their own, reducing toil and enabling autonomous infrastructure.
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.
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