CI/CD pipelines are essential, but they carry risks if not designed correctly. This post discusses common security mistakes and shares practices to avoid them.
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.
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