Agentic AI transforms DevOps from reacting to incidents to systems that understand, decide, and act on their own, reducing toil and enabling autonomous infrastructure.
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.
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 agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.
Containerization with Docker and orchestration through Kubernetes enables Java backends to be deployed, scaled, managed efficiently in modern cloud-native environments.
This guide shows how to build a secure CI/CD pipeline with early scanning, policy-as-code, SBOMs, zero trust, and safe AI-driven remediation in DevSecOps.
Docker containers make Java apps portable and consistent across environments, development, and deployment, and improve s scalability and streamline CI/CD.
A Kubernetes pod may restart due to an OOMKill when the Java process exceeds the container’s memory limit. JVM memory tuning and correct resource limits prevent crashes.