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Cloud-Native

Cloud-Native on ThecoreGrid explores how to design, run, and scale resilient systems built for dynamic cloud environments.

We cover practical architecture patterns around containers, Kubernetes, service discovery, configuration management, autoscaling, and immutable infrastructure. The focus is on production realities: multi-cluster operations, reliability under failure, cost control, observability, and secure workload isolation. You’ll find deep technical analysis of platform engineering, GitOps, Infrastructure as Code, traffic management, rollout strategies, and day-2 operations in highload systems. Instead of basic tutorials, we break down trade-offs between portability and provider-native services, speed and governance, flexibility and operational complexity. Content is curated from BigTech practices, real incident post-mortems, and hard lessons from cloud migrations at scale. The Cloud-Native tag is built for architects, platform and backend engineers, DevOps teams, and SREs who need robust, maintainable, and scalable cloud infrastructure for mission-critical products.

Scaling Kubernetes Without Increasing Operational Overhead: Generali’s Transition to EKS Auto Mode

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When the number of containerized services grows faster than the platform team, the bottleneck is not Kubernetes itself, but its operation. Generali faced exactly this challenge—and shifted the focus from cluster management to application management. The main limitation was not performance, but operations. The microservices portfolio was expanding, multi-tenant scenarios emerged, and with them—manual scaling, … Read more

Kubernetes and Stateful Inference: How llm-d Solves the Routing and Caching Challenge for LLM Worklo…

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As LLM production workloads grow, it becomes clear: classic Kubernetes mechanisms do not understand the nature of inference. llm-d is an attempt to bridge this gap at the platform level. The main limitation becomes apparent when inference goes beyond a “stateless HTTP service.” Requests to LLMs have different costs: prompt length, generation phase, KV-cache hits. … Read more

A Unified Global Platform as a Way to Simplify SASE and Protect AI Workloads

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Disparate security and traffic delivery services begin to break down as AI workloads and distributed users grow. The unified platform approach attempts to eliminate this class of problems through consolidation. The problem becomes apparent as the architecture grows more complex. Separate solutions for WAF, DDoS, CDN, Zero Trust, and application access create fragmentation. Each adds … Read more

⪜ Cloud Dependency as an Architectural Risk: Multi-Cloud, Local-First, and Protocols with a “Credible Exit”

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Modern systems are designed around clouds, but reliance on a single provider is beginning to manifest as a systemic risk. The issue is not the probability of failure, but its consequences and the system’s ability to survive a loss of control. The problem becomes apparent not at the latency or throughput level, but at the … Read more

Reducing Cloud Dependency: Multi-Cloud, Open Protocols, and Local-First as Engineering Strategies

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Dependence on a single cloud provider has long been considered an acceptable trade-off. Now, it is increasingly viewed as a systemic risk with a high cost of failure. The problem manifests not at the level of latency or throughput, but at the level of control. The European cloud market is highly concentrated: about 70% is … Read more

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