This article walks through using Velero to back up, restore, and migrate Kubernetes clusters, covering MinIO installation, Velero client and server setup, storage volume creation, backup location configuration, and execution of backup, restore, and scheduled backup commands.
OpenForge RL introduces a lightweight proxy and Kubernetes‑based orchestrator to decouple training from inference, enabling the training of 30B‑scale and 8B agents within any harness, while providing an automatic five‑stage task synthesis pipeline and demonstrating state‑of‑the‑art results across Claw, GUI, and Browser benchmarks.
The article examines how integrating large language models with the EFK logging stack transforms traditional, manual log inspection into an AI-driven process that automatically filters logs, identifies anomalies, performs root‑cause analysis, and generates structured fault reports, dramatically improving operational efficiency and reducing mean‑time‑to‑resolution.
This guide walks through implementing a GitOps workflow for Kubernetes using Argo CD, covering repository structure, Helm chart management, permission boundaries, Argo CD installation, application manifests, CI integration, troubleshooting OutOfSync states, and handover procedures, all with concrete commands and examples.
A comprehensive guide to running Spring Boot reliably on Kubernetes covering layered Docker image builds, JVM container-aware memory and CPU configuration, OOMKilled root-cause analysis using Native Memory Tracking and heap dumps, Prometheus monitoring integration, and Cloud Native Buildpacks for automated CI/CD pipelines.
The article walks through the entire Kubernetes storage lifecycle, explaining how Volumes, PersistentVolumeClaims, PersistentVolumes, StorageClasses and CSI interact, and shows real‑world production scenarios, common pitfalls, and practical guidance for designing reliable, scalable storage solutions for stateful workloads.
Brendan Burns recounts how he convinced Google to back Kubernetes, built the MVP in five days, navigated open‑source governance, tackled technical challenges like Etcd and declarative design, expanded the platform for AI workloads, and reflects on why even successful software like Kubernetes inevitably faces obsolescence.
This guide walks through configuring Kubernetes Horizontal Pod Autoscaler, covering prerequisite checks, proper CPU request settings, creating CPU‑based and custom‑metric HPA objects, stability tuning, rollout interactions, observation techniques, and risk‑aware acceptance and rollback procedures.
A GitHub repository named cve-2026-poc-collection, maintained by researcher XZ1r0, aggregates twelve high‑severity CVE‑2026 proof‑of‑concept exploits across web, Linux, Windows and other categories, detailing their impact, implementation languages, and offering a search script to help security professionals quickly locate and analyze the code.
The article analyzes how agents transition from demo to production, revealing that beyond model capabilities, stability, elasticity, security, and governance become critical, and explains the engineering challenges and solutions—including session management, state persistence, scheduling mismatches, sandbox isolation, and open‑source strategies—that underpin Tencent Cloud's Agent Runtime.
This article provides a comprehensive interview self‑test covering Spring Boot Actuator’s built‑in endpoints, health‑check JSON format, status aggregation logic, custom HealthIndicator implementation, show‑details configuration, @Endpoint operation annotations, liveness vs. readiness probes, handling of DOWN status, disabling auto‑configured indicators, security risks of exposing all endpoints, HealthIndicatorRegistry naming rules, additional Actuator endpoints, CompositeHealth construction, and custom HealthStatusHttpMapper mapping.
This comprehensive guide explains how Pyrra extends Sloth by providing a full SLO platform for Kubernetes, covering its architecture, four SLI types, rule generation, Web UI features, alert configuration, deployment options, Grafana integration, advanced usage, common pitfalls, and a detailed comparison to help you choose the right tool for reliable service monitoring.
This article explains the correct ways to view container logs in Kubernetes, covering the underlying storage mechanism, kubectl log commands, log rotation, distributed log collection architectures like EFK and Loki, best‑practice recommendations, and detailed troubleshooting steps for common log‑related issues.
Google Cloud recently open‑sourced two Go projects—Scion, which isolates and coordinates multiple AI agents, and AX, a distributed runtime that enables a single long‑running agent to resume after failures—detailing their architectures, usage steps, real‑world use cases, limitations, and the broader strategy of turning agents from experimental toys into reliable production workers.
The article analyzes why logging in modern Spring Boot microservices shifts from a simple debug tool to a critical data pipeline, compares Logback and Log4j2 async setups, reveals hidden costs and risks, and walks through eight concrete production scenarios to build a controllable, high‑performance logging architecture.
Databasus is an open‑source backup management platform that unifies PostgreSQL, MySQL, MariaDB and MongoDB backups with a web UI, offering logical, physical and incremental backups, automated scheduling, AES‑256‑GCM encryption, multi‑cloud storage, RBAC collaboration, and optional agents for secure, out‑bound connections.
This article presents a hands‑on guide to diagnosing Kubernetes production failures, distilling a real e‑commerce outage into 20 actionable rules that cover nodes, control plane, networking, scheduling, storage and observability, and provides a step‑by‑step diagnostic workflow with concrete commands and examples.
This article walks through 14 real‑world failure scenarios of Spring Boot distributed caching, explains why high cache hit rates are misleading, and provides concrete analysis, code samples, and step‑by‑step recommendations for designing a resilient cache layer that isolates faults, handles hot keys, and ensures data consistency across Redis, local caches, and databases.
This guide explains how to schedule large‑model inference pods onto GPU nodes that meet exact hardware requirements—such as A100 80 GB cards, specific node pools, and zones—by converting those needs into Kubernetes node‑affinity, taint, and topology constraints, verifying the deployment, monitoring its health, and safely rolling out or rolling back changes.
The article explains how to replace CPU‑only autoscaling for large‑model inference services with a Kubernetes HPA that scales pods according to a custom queue‑depth metric exported to Prometheus, covering metric definition, deployment configuration, Prometheus‑Adapter setup, HPA creation, capacity calculation, validation, troubleshooting, and rollback procedures.
After a 15‑fold traffic surge forced manual scaling of an e‑commerce platform, the team rebuilt the system with true elastic scaling—horizontal, vertical, and architectural—using Kubernetes, Envoy, KEDA, predictive autoscaling, and a comprehensive observability stack, achieving fully automated scaling from 12 to 80 pods in under 90 seconds and cutting peak resource costs by 60%.
The article explains how many teams mistakenly think they are using Kubernetes authentication while actually mounting long‑lived Bearer tokens, outlines the risks of legacy ServiceAccount tokens, describes the new projected token mechanism, and provides step‑by‑step guidance for secure production deployment and migration.
The article dissects Agent Harness, a runtime and orchestration platform that transforms monolithic agent services into a scalable system by introducing twelve essential components that address state management, tool execution, observability, and security for high‑concurrency workloads.
This article provides a step‑by‑step, Linux‑focused workflow for recording driver and GPU versions, interpreting utilization versus memory metrics, locating memory‑consuming processes, handling container and Kubernetes mappings, checking temperature, power, ECC, MIG, driver health, OOM conditions, and setting up reliable monitoring and alert thresholds for data‑center GPUs.
This guide walks through the complete GPU resource path from node to container, explains how Kubernetes discovers and registers GPUs via the NVIDIA Device Plugin, and provides step‑by‑step procedures for environment inventory, pod specifications, scheduling constraints, isolation models, quota management, monitoring, troubleshooting, and safe upgrades.
This guide shows how to use tcpdump on Linux to verify whether a client actually sent packets, whether they reached the server, how the server responded, and where a TCP connection was closed, by defining the problem, selecting interfaces, applying narrow BPF filters, capturing key handshake packets, handling TLS, HTTP, UDP, DNS, ICMP, container and Kubernetes environments, and preserving evidence with proper file management.
This guide walks through enabling CRaC in a Spring Boot application, building a CRaC‑compatible Docker image, creating a checkpoint job in Kubernetes, restoring the snapshot at pod start, and comparing the startup speed with GraalVM native compilation.
This article explains why manually managing ClusterRoles leads to governance chaos in Kubernetes, introduces rbac‑manager as a declarative controller that centralises binding creation, recycling and auditing, and provides a step‑by‑step guide with real‑world examples to build a scalable, production‑ready RBAC management workflow.
This article walks through why Go is ideal for cloud‑native development and demonstrates step‑by‑step how to build a scalable service mesh, covering static compilation, HTTP services, Go modules, Gin/Gorilla APIs, configuration, logging, health checks, service registration, load balancing, sidecar proxies, traffic interception, circuit breaking, rate limiting, retries, and distributed tracing with OpenTelemetry.
This guide explains how to continuously monitor NVIDIA GPU utilization, memory, temperature, power and error metrics using DCGM Exporter, covering driver verification, Docker and Compose deployment, Prometheus scraping, Kubernetes DaemonSet setup, custom collectors, PromQL queries, alert rules and troubleshooting procedures.
The article explains why naïve operators that only watch a few resources quickly fail under load, then dives into the true purpose of the Informer pipeline, demonstrates how to design a four‑layer state model for a dynamic gateway, and provides production‑grade patterns for reconciliation, status handling, governance, and when an Operator is truly needed.
The article details how a production‑grade Agent platform built on Kubernetes, Kafka, and Nacos addresses token budget overruns, uncontrolled skill execution, and RAG hallucinations by introducing a four‑layer runtime architecture, token pre‑allocation, explicit state management, dynamic governance policies, and robust skill specifications.
This guide explains why persistent storage is essential for Kubernetes Pods, details the responsibilities of PVC, PV, StorageClass and CSI, and provides step‑by‑step commands, checks, and best‑practice procedures for creating, troubleshooting, expanding, migrating, and safely deleting PVCs in production environments.
Kite is a modern, lightweight Kubernetes dashboard built with Go and React that offers real‑time metrics, multi‑cluster support, and enterprise‑grade security, and can be installed via Helm or raw YAML with access through LoadBalancer or Ingress.
To support 1.2 million simultaneous viewers, the article details a three‑layer push‑stream‑transcode‑distribution architecture, SRT/WHIP protocols, AV1 GPU‑accelerated transcoding, multi‑CDN edge delivery, a scalable WebSocket message system, Kubernetes‑based auto‑scaling, and extensive performance tuning and disaster‑recovery strategies.
Even when GPU nodes show up with nvidia‑smi, Pods can stay pending, see all devices, or suffer memory spikes; this guide walks through the full GPU resource chain in Kubernetes, from PCIe detection and driver loading to Device Plugin registration, node labeling, affinity, taints, isolation levels, MIG, time‑slicing, quotas, monitoring, and safe upgrade procedures.
This article provides a detailed comparison of the three leading Kubernetes Ingress Controllers—Nginx, Traefik, and Envoy—covering their architecture, configuration methods, feature sets, performance benchmarks, and practical selection guidance for various deployment scenarios.
The article explains Cilium’s eBPF‑based network‑policy architecture across five layers—program loading, identity system, map storage, packet processing, and policy types—then demonstrates three practical YAML configurations, while also covering VPC‑CNI integration and deployment details.
During large‑scale promotions a sudden flood of Nginx 502 errors signals upstream interaction failures across proxy, kernel, application and orchestration layers, and the article explains the exact conditions, root causes, traffic amplification, and a systematic self‑healing approach to diagnose and eliminate them.
To support millions of persistent MQTT connections with sub‑millisecond latency, the article walks through a Spring Boot + Netty cloud‑native gateway design that separates connection, event, state and governance planes, details async authentication, back‑pressure handling, command state machines, and loss‑less Kubernetes roll‑outs.
This article explains Kubernetes' three‑principle network model, compares the leading CNI plugins (Flannel, Calico, Cilium), details pod communication paths, Service and Ingress mechanisms, DNS and NetworkPolicy implementations, and provides step‑by‑step troubleshooting cases with performance data and concrete configuration examples.
MySQL connection failures are among the most frequent issues for developers and operators; this article systematically walks through typical error messages, explains how to collect relevant information, runs layered command checks, analyzes evidence, identifies root causes such as socket problems, bind‑address limits, host whitelist mismatches, authentication failures, connection‑limit exhaustion, and packet timeouts, and provides concrete fix and verification procedures for on‑premise, Docker, and Kubernetes deployments.
This article walks you through planning, hardware preparation, system initialization, Docker and kubeadm installation, certificate generation, etcd deployment, master and node component configuration, CNI networking, TLS bootstrapping, and final verification to create a fully functional Kubernetes cluster from the ground up.
The article explains that out‑of‑memory (OOM) events can happen despite apparent free memory because OOM can be triggered by cgroup limits, NUMA constraints, kernel allocation failures, or systemd‑oomd policies, and it provides a step‑by‑step diagnostic method covering logs, metrics, and Kubernetes specifics.
The article explains how intensive file‑system reads in a Kubernetes pod cause kernel slab memory to balloon, why standard cgroup limits cannot contain the leak, and demonstrates step‑by‑step how configuring Pod Overhead with Kata containers creates a separate sandbox cgroup that isolates kernel memory, preventing host‑level OOM.
Quarkus, Red Hat's cloud‑native Java framework, achieves dramatically faster startup (0.3‑1 s vs 2‑5 s) and roughly half the memory usage (150‑200 MB vs 300‑500 MB) by moving many optimizations to compile time, and offers a Spring‑like developer experience with extensions, reactive support, and hot‑reload tooling.
This comprehensive guide explains how kube-proxy drives Service traffic in Kubernetes, compares userspace, iptables, IPVS, nftables and eBPF modes, and provides a four‑dimensional decision framework, migration steps, monitoring practices, and real‑world examples to help operators select the optimal mode for their clusters.
The article explains why naïve multi‑agent demos fail in production, defines the core concepts of Task, Step, Agent Role and Event, proposes a four‑plane cloud‑native architecture, shows concrete Go and Python code, and provides detailed guidance on state machines, reliability, observability, security and budget governance for building scalable, production‑grade AI agent systems.
The article analyzes the storage, query performance, high‑availability, and data‑loss challenges of running Prometheus on a 1,000‑node Kubernetes cluster and demonstrates how a Thanos‑based architecture—Sidecar, Query, Store Gateway, Compactor, Receiver, and object‑storage back‑ends—can be designed, tuned, and operated to achieve horizontal scalability, efficient down‑sampling, and reliable fault recovery.
An intermittent Redis timeout in a Kubernetes pod was traced not to Redis or the network but to uneven soft‑interrupt handling on a single CPU core, caused by irqbalance moving interrupts across NUMA nodes, and resolved by aligning NIC queues, adjusting irqbalance, and reserving CPUs.
This article introduces ten widely used Linux operations tools—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing their functions, typical scenarios, advantages, concrete usage examples, and links to learning resources for each.
Even when monitoring shows free memory, Linux can still kill processes due to various OOM paths such as cgroup limits, NUMA allocation failures, kernel high-order allocation issues, or systemd‑oomd, and this guide walks through a reproducible investigation and remediation process.
The article reviews three open‑source solutions—OpenSRE for AI‑assisted incident investigation, CloakBrowser that patches Chromium to evade fingerprinting, and Radar, a lightweight Kubernetes dashboard that runs without cluster installation—detailing their problems, workflows, commands, and key features.
An in‑depth comparison of Kubernetes Horizontal and Vertical Pod Autoscalers—including algorithms, configurations, performance benchmarks, mixed‑mode trade‑offs, custom‑metric integrations, and real‑world case studies—demonstrates how to choose and tune HPA, VPA, and KEDA for rapid traffic spikes while avoiding conflicts.
When a Linux server’s CPU spikes to 100 %, this article walks through a systematic investigation—from defining what “CPU 100 %” really means, gathering timestamps and metrics, using tools like top, mpstat, vmstat, pidstat, sar, perf, and strace, to tracing processes, threads, containers, and Kubernetes, building an evidence chain, applying low‑risk fixes, and verifying the resolution.
This guide explains how to systematically investigate network packet loss on Linux by collecting timestamps, routing, interface and kernel statistics, using ping, tracepath, curl, netstat, ss, nstat, ip, ethtool, nftables/iptables, and tcpdump on both ends, then narrowing the failure scope, fixing MTU, conntrack, soft‑interrupt or firewall issues, and validating the fix with metrics and roll‑back procedures.
This article details Ctrip's migration from Kubefed to Karmada for multi‑cluster governance, describing the architectural evolution, production deployment for high‑availability and smooth cross‑cluster pod migration, and the performance and memory optimizations required to support over 200 GB of control‑plane memory usage and tens of thousands of Pods.
This comprehensive guide explains how DNS works, categorises common resolution failures, and provides step‑by‑step procedures, command‑line examples and configuration snippets for diagnosing and fixing DNS problems in Linux, Kubernetes and cloud environments.
This article offers a free 172‑page Alibaba Cloud Kubernetes handbook that explains six core principles and typical issues, and provides a detailed technical analysis of a recurring node NotReady problem, covering kubelet roles, PLEG timing, and the three‑minute readiness window.
The team rebuilt a recommendation platform for a 80‑million‑DAU content service, scaling daily requests from 30 M to 200 M, cutting P99 latency from 800 ms to under 50 ms by introducing a four‑layer architecture, multi‑path recall (vector, real‑time, graph), transformer‑based ranking, multi‑level caching, predictive autoscaling, and comprehensive observability.
The article explains how to safely adjust JVM parameters for large‑scale e‑commerce events by first calculating the total container memory usage, using targeted G1GC tweaks, validating changes with load tests and metrics, and preparing a detailed gray‑release and rollback plan.
This comprehensive guide explains why MySQL permission mistakes happen, walks through the authentication and authorization process, shows how to design multi‑layered user models, role hierarchies, declarative GitOps workflows, Kubernetes integration, and production‑ready automation for secure, auditable, and scalable database access.
This guide explains why time synchronization is a critical yet often overlooked part of Linux operations, outlines common failure scenarios, and provides a step‑by‑step methodology for configuring, verifying, and troubleshooting NTP/chrony across physical servers, virtual machines, containers, and Kubernetes clusters.
An in‑depth analysis of a custom SIP‑WebRTC video gateway built on Kubernetes, detailing dual load‑balancing via K8s and Redis RPC, a seven‑layer architecture, media mixing and aggregation pipelines, and graceful shutdown mechanisms that enable reliable SIP call integration with modern WebRTC conferences.
The article explains how K3s, a lightweight, production‑grade Kubernetes distribution, reduces component count, memory usage, and installation complexity, making it ideal for small‑to‑medium enterprises, edge, IoT, and AI projects, while still offering API compatibility and optional high‑availability, and compares its trade‑offs with full‑size Kubernetes.
The article explains why running multiple template engines in a Spring Boot application becomes an operational challenge, outlines a four‑layer architecture and routing strategies, provides concrete code for a custom ViewResolver, configuration, observability, deployment, testing and migration steps, and shows how to govern the process safely in production.
This article walks through applying the 4+1 view model to a B2C e‑commerce platform that handles over 100,000 daily orders and 5,000 QPS, covering logical, development, process, physical, and scenario views with concrete diagrams, code snippets, and deployment details.
The article analyzes Nginx's static upstream load balancing limitations—manual configuration, passive health checks, and inability to handle elastic scaling—and explains how service registries provide real‑time instance awareness, client‑side load balancing, metadata‑driven routing, and seamless scaling for microservices.
This article explains why the team replaced Nacos with Ctrip's open‑source Apollo configuration center, outlines Apollo's core concepts, features, and architecture, and provides step‑by‑step instructions for creating projects, testing dynamic updates, exploring environments, clusters, namespaces, and deploying a SpringBoot application on Kubernetes.
This article presents a practical solution that uses Facebook Prophet time‑series AI to automatically calibrate dynamic alert thresholds in Prometheus, reducing over‑80% of false alarms in Kubernetes environments by learning business cycles and updating rules hourly without manual intervention.
This guide catalogs the 20 most frequent mistakes made by new operations engineers, explains why they happen, and provides step‑by‑step safe alternatives, risk warnings, and recovery procedures so readers can avoid costly outages and build reliable habits.
The article presents a detailed, step‑by‑step analysis of the L0 resource layer that underpins AI infrastructure, covering GPU scheduling, multi‑tier storage, low‑latency networking, core architectural components, key technologies such as MIG, Volcano, Kueue and RDMA, practical implementation patterns, quantitative acceptance criteria, and common pitfalls with best‑practice mitigations.
This guide lists the twenty most frequent pitfalls that new operations engineers encounter, explains why they happen, and provides step‑by‑step safe practices, code examples, risk classifications and a verification checklist to help prevent costly outages and data loss.
The article explains that the real challenge is not merely running MySQL but placing it in the right resource model, and it provides a four‑dimensional decision framework—performance ceiling, stability floor, automation level, and organizational maturity—to guide when to use host‑installed MySQL, single‑node containers, or full Kubernetes deployment, illustrated with concrete resource analyses, architecture diagrams, configuration examples, pitfalls, checklists, and an evolution roadmap.
This article provides a comprehensive, step‑by‑step overview of Kubernetes architecture, detailing the control plane components (API Server, etcd, Scheduler, Controller Manager) and worker node components (kubelet, kube‑proxy, container runtimes), illustrated with diagrams and command‑line examples that show how requests flow, state is stored, pods are scheduled, and failures are handled.
When a thumbnail service experienced sudden latency spikes and OOM kills shortly after a new release, the author walks through a systematic investigation using free, smem, pmap, and perf to distinguish true memory leaks from page‑cache or shared‑page artifacts, pinpoint the native decoder buffer issue, and outline remediation steps.
This article introduces ten Linux operations tools—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing their functions, typical use cases, advantages, and concrete examples to help engineers streamline daily tasks and dramatically reduce overtime.
This article details a production-verified zero-downtime database migration strategy using Spring Boot and Flyway, covering why DDL causes outages, Flyway configuration best practices, the expand-migrate-contract pattern for smooth schema changes, script writing and rollback techniques, Kubernetes deployment coordination, monitoring with circuit breakers, and a post-mortem checklist.
Since 2024, a growing number of enterprises—especially small‑to‑medium businesses and some large firms—are re‑evaluating the cost‑driven VMware licensing model and migrating to the open‑source Proxmox VE platform, which bundles KVM, LXC, Ceph, backup and clustering into a free, easy‑to‑manage solution that fits modern AI and Kubernetes workloads.
The author shares a complete 83‑page step‑by‑step guide that enabled a rapid, production‑grade high‑availability Kubernetes cluster integrated with a private Harbor registry, dramatically cutting setup time and improving cloud‑native operational reliability.
The article explains why large‑model inference services frequently hit GPU memory limits, breaks down static vs. dynamic memory consumption, shows how KV‑Cache, request length, and concurrency amplify usage, and provides a step‑by‑step troubleshooting and mitigation workflow for production environments.
This article provides a comprehensive, diagram‑driven analysis of Kubernetes networking, covering underlay and overlay models, the role of VLAN, OSPF, BGP, and various CNI plugins such as Flannel host‑gw, Calico BGP, IPVLAN/MACVLAN, Multus, and Danm, as well as tunnel technologies like VxLAN and IPIP.
This comprehensive guide walks you through DNS fundamentals, compares BIND, CoreDNS, PowerDNS and Unbound, provides step‑by‑step deployment scripts for BIND 9.20 and CoreDNS 1.12, explains DNSSEC configuration, caching optimizations, security hardening, high‑availability designs, monitoring, backup and recovery procedures, and advanced troubleshooting techniques.
Kubernetes 1.36 marks a shift toward native governance of complex AI resources, workload‑aware scheduling, fine‑grained security, and control‑plane scalability, urging platform teams to rethink resource allocation, isolation, and governance as AI workloads move into production.
After being laid off after five years in operations, the author realized that all job listings now require Docker and Kubernetes expertise, so they compiled a comprehensive "100 K8s Interview Questions" guide covering core concepts, architecture, resource management, networking, storage, security, troubleshooting, and ecosystem tools.
The article analyses how Kimi’s AI Agent workloads are deployed on Alibaba Cloud using ACK and the ACS Agent Sandbox, detailing the challenges of massive concurrency, rapid sandbox start‑up, state continuity, cost‑effective scaling, and the security and scheduling mechanisms that enable production‑grade performance.
The article analyzes how monolithic applications struggle with scalability, deployment, and team coordination, then breaks down microservice architecture—including API gateways, service communication, registration, resilience patterns, tracing, and container orchestration—while weighing its benefits against added complexity and team size considerations.
The article compares four microservice deployment approaches—physical servers, virtual machines, containerization with Docker, and Kubernetes clusters—detailing their implementation, advantages, drawbacks, and ideal scenarios, helping teams choose the most suitable strategy based on resource isolation, scalability, operational complexity, and team expertise.
The article explains how enterprises can replace fragmented, hard‑coded security checks in Terraform, CI/CD pipelines, Kubernetes admission webhooks, and API gateways with a unified, declarative policy engine—Open Policy Agent—using Rego to decouple decision and enforcement, enabling fast, auditable SecOps guardrails across the entire software lifecycle.
The article examines how to choose between Dubbo and Spring Cloud for high‑traffic microservice systems, analyzing communication models, thread and connection handling, governance capabilities, real‑world e‑commerce scenarios, and provides practical guidance on combining HTTP gateways, RPC, and asynchronous messaging for scalable, resilient architectures.
This article presents a detailed, step‑by‑step analysis of deploying the high‑performance vLLM inference engine on Kubernetes, covering GPU memory management, tensor parallelism, quantization choices, continuous batching, and automated scaling with HPA/KEDA to achieve low latency and high throughput for large language models.
This article details the architecture, security mechanisms, and implementation of a unified Arthas online diagnosis platform that enables SSH‑free, audited access to Java applications across dozens of isolated Kubernetes clusters, covering control‑plane design, WebSocket tunneling, credential management, RBAC, and front‑end integration with Vue and xterm.js.
An in‑depth analysis explains how Go’s historical ties to Google, lightweight binaries, memory safety, cross‑compilation ease, and balanced performance‑vs‑devex make it the default language for CNCF projects, sidelining Java, C++, and Rust despite their technical merits.
This guide explains why default Kubernetes scheduling often falls short in production, introduces nodeSelector, nodeAffinity, podAffinity/anti‑affinity, taints/tolerations, topologySpreadConstraints and PriorityClass, and provides step‑by‑step configuration examples, real‑world use cases, best‑practice recommendations, troubleshooting tips, and monitoring alerts to ensure reliable pod placement.
This comprehensive guide walks you through the end‑to‑end setup of a production‑grade Prometheus and Grafana monitoring stack, covering architecture choices, installation steps, configuration details, high‑availability designs, performance tuning, security hardening, troubleshooting, backup strategies, and best‑practice recommendations.
The article explains how NVIDIA Dynamo tackles the production bottlenecks of Agentic AI by using KV‑Cache‑aware routing, a three‑stage multimodal inference architecture, and intelligent cache scheduling on Kubernetes to improve multi‑node throughput (MFU) while maintaining latency SLAs.
The author shares a curated collection of over 50 GB of free operations learning materials—including Linux system administration, data‑center fundamentals, Kubernetes clusters, a complete engineer learning path, and information‑security compliance—each with Baidu Cloud download links for beginners.
The article explains that Nginx’s static upstream configuration and passive health checks cannot keep up with dynamic microservice environments, while a service registry provides real‑time instance awareness, automatic failure detection, and metadata‑driven routing, making both tools complementary rather than interchangeable.
This article dissects the evolution of a flash‑sale system from a simple monolithic controller to a cloud‑native, micro‑service architecture that can handle over one million requests per second, detailing traffic‑shaping, multi‑level caching, async processing, and inventory‑consistency techniques.
This article explains the Linux kernel networking components—veth pairs, Linux bridges, and overlay networks—detailing their creation, configuration, packet flow, and troubleshooting with concrete Docker and Kubernetes examples, commands, and packet‑capture analysis.
