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.
LLM Infrastructure, GPU Inference, Agentic Systems, Distributed Systems, High Performance Computing, HPC, Cloud Native, Data Infrastructure
Cloudflare Organizations simplifies RBAC in multi-account environments: centralized control, faster access reviews, and reduced management complexity.
Topology-preserving compression without sacrificing speed: how EXaCTz achieves GB/s throughput while preserving the contour tree and extremum graph.
How the LLM multi-agent system Holos is structured: Agentic Web architecture, agent coordination, economic model, and scaling to millions of agents.
Online network slicing with trust constraints: how the Path–Link model reduces latency and accelerates VNF placement in multi-domain infrastructure.
Slice spraying in GPU clusters: how TENT reduces latency and increases throughput in LLM serving through dynamic data movement –>
Distributed sequence generation replaces database sequences at scale. It removes central bottlenecks while keeping compatibility with existing systems. The problem does not manifest immediately — until the organization attempts to transition from a relational database to a cloud-native storage solution. In this case, over a hundred services relied on database sequences for generating primary keys. … Read more
Multi-path GPU balancing eliminates network bottlenecks in clusters. An analysis of NIMBLE and its impact on throughput and latency. –>
GitOps policy for Kubernetes becomes manageable when enforcement is built into the delivery pipeline. The combination of Kyverno and Argo CD bridges this gap at the admission level.
LLM Infrastructure, Disaggregation, Distributed Systems, GPU Clusters, Network Anomalies, Serverless, AI Agents
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