This article provides a comprehensive overview of Istio, explaining its role as an open‑source service mesh for cloud‑native microservices, detailing the data plane and control plane components, sidecar proxy functions, traffic management, security, and monitoring while also promoting related learning resources.
This article provides a detailed, English-language overview of Service Mesh, explaining its role in cloud‑native microservice architectures, the need for it, its core principles—including data and control planes—and key Istio components, while also offering promotional links to related resources.
This article explains what Kubernetes Operators are, how they work by defining custom resources and controllers, outlines their advantages and typical use cases such as database and messaging system management, and provides a step‑by‑step example of building a simple virtual‑machine Operator.
The article introduces ACK One Serverless Argo Workflows, a fully managed cloud‑native workflow service that adds chunked large‑file uploads, automatic artifact garbage collection, and OSS streaming download to overcome limitations of the open‑source Argo Workflows in high‑volume data scenarios.
The article explains how platform engineering—a cloud‑native discipline for building self‑service toolchains—enhances API development by improving developer experience, enabling better API integration, discovery, management, and CI/CD pipelines, ultimately providing a more customizable and efficient development environment.
IBM’s $6.4 billion acquisition of HashiCorp brings Terraform, Vault and other infrastructure‑as‑code tools under its umbrella, promising tighter hybrid‑cloud integration while sparking debate over open‑source licensing and the future of multi‑cloud strategies.
This article explains how to construct high‑performance RoCE v2 and InfiniBand networks within a cloud‑native Kubernetes environment, detailing the underlying technologies, required components, configuration steps, and performance test results that demonstrate significant communication speed improvements for large‑scale AI model training.
This article examines the origins and goals of software development standards, explains why they often break down when enforced through tools, presents concrete examples of such failures, and shares insights from Alibaba's Aone platform that guide the design of a more effective DevOps‑centric R&D workflow.
This guide shows how to deploy a lightweight Elasticsearch instance, a proxy, and Kibana with Docker‑Compose to connect Kibana to Alibaba Cloud Log Service’s Elasticsearch‑compatible API, configure index patterns, run queries, create visualizations, and troubleshoot common issues.
Bilibili’s downstream CDN was rebuilt from a tightly‑coupled scheduler model into a cloud‑native architecture featuring separate gateway, cache, back‑origin and control services that provide layer‑4 and layer‑7 load‑balancing, cluster‑wide health checks, centralized routing, and a refactored NGINX slice module, cutting latency by 40 % and dramatically reducing incidents.
This article details Huolala's journey from manual, resource‑intensive full‑link load testing to a fully automated, model‑driven platform that improves peak‑capacity verification, reduces testing time and manpower, ensures safety through circuit‑breaker mechanisms, and delivers measurable cost and performance gains.
MetaApp replaced ClickHouse with the open‑source cloud‑native warehouse ByConity, achieving more than 50% reduction in resource costs while delivering comparable or faster OLAP query performance across distinct, retention, conversion, and point‑lookup workloads, thanks to compute‑storage separation, read/write isolation, and minute‑level elastic scaling.
This article explains Docker’s core architecture—including images, containers, and registries—and details how Linux namespaces, cgroups, and UnionFS work together to provide resource isolation, limitation, and lightweight virtualization, while also offering promotional links to extensive architecture and interview collections.
2023 saw a wave of high‑profile tech leaders—Google’s engineers, Amazon Prime Video, and DHH—questioning the microservices paradigm, presenting data‑driven case studies that show dramatic latency and cost reductions when moving to monolithic or runtime‑managed architectures, and urging architects to reassess scalability versus complexity trade‑offs.
Kubernetes v1.30, released in 2024, introduces 45 major updates—including GA for pod scheduling readiness, interactive kubectl delete, CEL‑based admission control, container‑based HPA, new service trafficDistribution, indexed job success policies, volume manager reconstruction, hostIPs list, node log query, default node swap, and recursive read‑only mounts—providing a more conservative yet feature‑rich evolution of the platform.
This guide introduces K8sGPT, explains its prerequisites, shows how to install it via Homebrew, and provides step‑by‑step commands to authenticate, configure filters, analyze clusters, and retrieve detailed explanations, enabling engineers to quickly diagnose and optimize Kubernetes environments.
Microservices, also known as microservice architecture, is a cloud‑native approach that breaks a single application into loosely coupled, independently deployable services, each with its own tech stack, communicating via REST APIs, event streams, or message brokers, and organized around business capabilities and bounded contexts.
This article explains how the SLS Processing Language (SPL) enables interactive, pipeline‑based log analysis in cloud‑native environments, covering the challenges of unstructured log data, Unix‑inspired exploration, SPL syntax, key commands, and practical examples for efficient querying and transformation.
This article explains what Prometheus is, why TDMQ Pulsar needs Prometheus integration, outlines the two monitoring designs, and provides a detailed, step‑by‑step guide with configuration examples to expose Pulsar metrics for Prometheus collection.
This article compiles several Zhihu contributors' perspectives on adopting Kubernetes, weighing cost, operational benefits, potential pitfalls, and practical command‑line examples to help developers decide whether container orchestration truly fits their projects.
The ByteHouse performance whitepaper details the cloud‑native data warehouse’s architecture, rule‑based and cost‑based optimizer enhancements, exchange runtime, runtime filters, parallelism and wide‑table optimizations, and presents benchmark comparisons on TPC‑DS, TPC‑H and SSB datasets demonstrating orders‑of‑magnitude query speed improvements.
This article examines Kubernetes’ Kubelet component through an object‑oriented lens, detailing its role, key responsibilities, abstract properties and methods, and illustrating implementation steps such as resource checks and pod scheduling, to show how OO abstraction clarifies complex system behavior.
Deploying large language models demands massive compute, flexible scaling, and robust resource management, and this article explains how Kubernetes’s auto‑scaling, portability, cloud‑native features, observability tools, and multi‑tenant isolation make it the optimal platform for training, serving, and iterating LLM workloads.
In 2023, leading tech companies like Google and Amazon publicly criticized the microservices model, presenting new architectural approaches that combine logical monoliths with automated runtimes, dramatically cutting latency and cost while prompting many other firms to abandon microservices in favor of simpler, more efficient monolithic designs.
This guide explains how to configure Istio locality‑based load balancing and failover across Kubernetes zones and regions, providing hands‑on scripts, YAML examples, and validation steps to ensure resilient microservice traffic routing in cloud‑native environments.
This article provides a comprehensive overview of Kubernetes, covering its core container‑operation capabilities, component architecture, two‑site three‑center design, multi‑layer service discovery, pod shared resources, common CNI plugins, layered load balancing, isolation dimensions, network model principles, and IP address classifications.
In a candid ten‑year retrospective, Docker’s former engineering VP outlines three strategic successes—container adoption, developer focus, and community building—and three missteps—confusing users with customers, vague culture definition, and over‑reliance on containers—offering valuable lessons for cloud‑native innovators.
This guide explains how to monitor Kubernetes events, differentiate normal and warning events, and use tools like kube-eventer and kube-event-exporter to collect, alert on, and analyze cluster events through webhook, Kafka, Logstash, and Elasticsearch, enabling comprehensive observability and troubleshooting.
This article explains Docker's core concepts—including images, containers, Dockerfile, registries, and the client‑server architecture—while also covering Docker Compose, Docker Swarm, and how they relate to Kubernetes, providing a concise yet comprehensive overview of containerization and its role in modern cloud‑native development.
Senior big data engineer Zhu Yaogai from HuoLala shares the team’s three‑year journey, detailing background challenges, the construction of a multi‑layer big‑data infrastructure, solutions for cost efficiency, operational automation, heterogeneous computing, and future plans, illustrating how high cost‑effectiveness, operational efficiency, and analytical performance drive their evolution.
The article outlines the characteristics of an ideal R&D team, identifies three common delivery obstacles, and presents a cloud‑native BizDevOps framework with a unified conceptual model, application templates, and step‑by‑step implementation guidance.
This article explains why Kubernetes list results are alphabetically ordered, how the WatchCache and WatchList mechanisms affect ordering and performance, and examines the underlying Etcd behavior, code implementations, and ongoing community efforts to improve consistency and latency.
TiDB, an open‑source NewSQL distributed database, combines the strong consistency and ACID guarantees of traditional relational databases with the scalability of NoSQL, offering cloud‑native architecture, HTAP capabilities, high availability, and seamless MySQL compatibility, while highlighting NewSQL concepts, design trade‑offs, and migration scenarios.
This article details how a large ride‑hailing platform tackled container scaling delays and cost inefficiencies by adopting Alibaba Cloud ACK's Advanced Horizontal Pod Autoscaler, combining ECS and Elastic Container Instances, customizing scheduling policies, and injecting sidecars into virtual nodes to achieve proactive, cost‑effective elasticity.
This article explores the GitOps approach for cloud‑native environments, detailing its principles, benefits, and step‑by‑step implementation—including standardized content storage, declarative configuration, automated deployment/rollback, and change verification—to boost development efficiency and reliability.
This guide explains how to install Docker, pull the official MySQL image, run a MySQL container with persistent storage, connect to it, perform basic SQL operations, and finally stop and remove the container, demonstrating a complete end‑to‑end deployment using Docker.
This article explains the concept of graceful shutdown, walks through a Kubernetes pod termination flow, demonstrates a Spring Boot + Nacos example with PreStop hooks, identifies common pitfalls, and provides practical optimizations—including MQ handling, scheduled tasks, traffic control, and actuator shutdown—to achieve reliable, zero‑downtime service termination.
This article explains how Kubernetes serves as a middle layer between applications and servers, detailing its control plane and node components, the role of pods, containers, and the deployment process using YAML and kubectl, and how it simplifies scaling, restarting, and service access.
This article explains the concept of graceful shutdown, demonstrates it with Kubernetes‑SpringBoot‑Nacos case studies, analyzes common issues, and provides optimization strategies such as adjusting terminationGracePeriodSeconds, using PreStop hooks, handling MQ and scheduled tasks, and leveraging actuator shutdown for reliable service termination.
This article provides a thorough checklist covering application deployment, service governance, and cluster configuration in Kubernetes, including health probes, graceful shutdown, fault tolerance, resource limits, labeling, logging, scaling, RBAC, network policies, and compliance with CIS benchmarks.
This guide shows how to enable Horizontal Pod Autoscaling for traffic‑driven workloads by leveraging cAdvisor's container network receive and transmit byte counters, converting them to per‑second rates with Prometheus‑adapter, and validating the custom metric through Kubernetes commands and console views.
This article traces the history of container technology—from the 1979 chroot command and Linux namespaces to cgroups, LXC, Docker, Kubernetes, and modern cloud‑native services like Huawei CCE—explaining each milestone’s purpose, advantages, and impact on software deployment.
This article explains how Kubernetes serves as a cloud‑native middle layer that abstracts servers and application services, detailing its control‑plane and node components, the role of pods, containers, and the kubectl tool, and walks through a typical service deployment and request flow.
This article explains how HuoLala designed a cost‑effective multi‑zone high‑availability solution called the multi‑lane architecture, detailing its goals, deployment of services across availability zones, use of Consul for service discovery, Apollo for configuration, traffic scheduling strategies, and how it differs from traditional active‑active setups.
This article provides an extensive overview of Kubernetes, covering its core architecture, pod IP design, environment setup, networking models, plugins, security measures, backup strategies, monitoring solutions, Helm usage, gray releases, service mesh concepts, and CI/CD pipeline implementation, offering practical insights for developers and operators.
This article provides a comprehensive overview of Spring Cloud Alibaba architecture, detailing monolithic, distributed, and microservice patterns, explains the evolution of system designs, introduces Nacos service discovery and registration, and includes practical code examples for installing, configuring, and using Nacos with Spring Boot.
This article explains how to combine Nvidia GPUs with Kubernetes, covering CUDA toolkits, device plugins, GPU virtualization techniques such as Time‑Slicing, MPS and MIG, and advanced scheduling options like Volcano, while also outlining practical deployment steps and performance considerations.
This article provides a detailed outline of an enterprise‑grade Kubernetes operations curriculum, covering cluster installation, component deployment, high‑availability, networking, storage integration with Ceph, Helm package management, microservice migration with Spring Cloud, CI/CD pipelines using Jenkins, and service mesh fundamentals with Istio.
After fully containerizing their platform, the team tackled front‑line development scaling challenges by designing a custom elastic‑scaling solution that combines dual‑threshold and timed scaling, integrates hybrid‑cloud ClusterAutoScale, consolidates middleware resources, and implements a comprehensive K8s observability stack, delivering over 30% additional compute capacity and near‑perfect scaling reliability.
r-nacos is a Rust‑based Nacos server that offers the same client‑SDK compatibility as the official Java version while delivering dramatically faster startup, minimal memory footprint, higher performance, and stable operation, making it ideal for development, testing, and lightweight production environments.
This article explains the concept of graceful shutdown, outlines the standard steps, and presents detailed Kubernetes, Spring Boot, and Nacos case studies, followed by optimization techniques, code examples, and practical recommendations for handling MQ, scheduled tasks, and traffic control during service termination.
This article explains how to configure Kubernetes Horizontal Pod Autoscaler (HPA) for automatic pod scaling, covering core concepts, metric selection, and two detailed YAML examples that demonstrate scaling based on CPU utilization and custom data‑processing rates.
This guide shows how to install Traefik as a Docker container, configure its dashboard, install the cpolar tunneling tool on Linux, and create both temporary and permanent public URLs so you can manage Traefik remotely without buying a cloud server.
This article explains how Kubernetes supports GPU workloads for AI and machine learning, covering device plugins, pod GPU requests, oversubscription, security isolation, cloud‑provider node setup, and protecting GPU nodes from non‑GPU pods.
This article provides a comprehensive overview of Docker containers, covering their definition, core components, implementation mechanisms such as namespaces, cgroups, and UnionFS, and practical application scenarios like microservices, CI/CD, and rapid deployment, while illustrating key concepts with diagrams and command examples.
This article presents Shuxin Network's practical experience in building a cloud‑native, lakehouse‑integrated data platform for the financial sector, covering architecture evolution, challenges of domestic‑innovation (信创), the DataCyber solution, core components, deployment roadmap, and real‑world case studies.
This article analyzes the challenges of tightly coupled message‑business code, duplicated service implementations, and intermittent message loss, then details the design of the X‑Pigeon centralized messaging platform—including its three‑element model, lifecycle states, rate‑limiting strategies, and template system—to achieve scalable, reliable communication across microservices.
This guide explains how to configure Kubernetes Ingress Nginx to duplicate 100% of live application traffic from a production cluster to a staging cluster, enabling safe simulation testing and rapid performance troubleshooting without affecting end‑user responses.
This article explains how to design and implement a traffic distribution diagram for an observability system, covering current cloud‑native tooling, data standardization, transformation, traffic‑flow modeling, aggregation, storage with ClickHouse, and visualisation techniques such as Sankey diagrams.
This article provides a comprehensive, English-translated list of 78 PDF resources covering Kubernetes advanced development topics such as CKAD exam updates, kubeadm source analysis, Go module management, client‑go libraries, custom controller creation, and API usage, organized into three progressive sections.
ZingJDK, Azul’s high‑performance commercial JDK built on OpenJDK, combines ReadyNow® pre‑warming, the LLVM‑based Falcon JIT compiler, the pause‑free C4 concurrent compacting garbage collector, and a cloud‑native off‑load compiler to deliver dramatically faster startup and execution across JDK 7‑21, though it lacks dynamic Attach support and requires a commercial license.
This article provides a comprehensive technical overview of LiteIO, describing its core and CSI components, the complete volume lifecycle within Kubernetes, Disk‑Agent responsibilities, common implementation pitfalls, storage‑pool construction methods, and the design of the node‑disk‑controller, scheduler, and CSI modules.
This article presents Jushuitan's cloud‑native OLAP architecture, detailing its evolution, current big‑data stack—including DataWorks, MaxCompute, Flink, Hologres, and Aerospike—along with logistics warning workflows, rule‑matching mechanisms, real‑time processing challenges, and future scalability plans.
After three years of hands‑on Kubernetes administration, the author shares ten practical lessons covering cloud‑hosted clusters, infrastructure‑as‑code, Helm chart usage, service mesh decisions, tool selection, resource limits, stateless design, HPA configuration, and upgrade strategies to help both newcomers and seasoned engineers manage clusters effectively.
This article explains how ByteDance’s BMQ, a cloud‑native message engine with a compute‑storage separated architecture, overcomes Kafka’s scalability and operational limits by using Proxy, Broker, Coordinator, and Controller modules, a distributed storage model, and advanced caching to achieve rapid scaling, high throughput, and resilient operations.
This article provides a comprehensive technical overview of LiteIO, describing its core and CSI components, their interactions, the complete volume lifecycle within Kubernetes, common implementation pitfalls, and configuration examples for storage pools and agents.
This guide explains how to implement a blue‑green deployment on Kubernetes with host‑ and path‑based routing, covering prerequisites, namespace creation, deployment manifests, service and ingress configuration, traffic switching, updates, verification, and rollback procedures.
This article details Kuaishou’s five‑year evolution of Flink, covering its background, production refactoring to Kubernetes, migration practices, and future improvements, highlighting architecture layers, resource management, observability, and testing strategies for large‑scale stream processing.
This guide introduces Docker’s fundamental concepts—including images, containers, registries, and UnionFS—explains how to install Docker on Ubuntu, and provides essential commands for managing images, containers, networks, volumes, and logs, helping you quickly set up and operate containerized environments.
iLogtail 2.0 replaces the monolithic, file‑oriented design of its predecessor with a modular pipeline configuration, new input/processor/output plugins, a refreshed API, SPL processing, finer‑grained parsing controls, nanosecond‑level timestamps, enhanced observability, and performance improvements, while providing compatibility guidance for both commercial and open‑source editions.
This article provides a comprehensive overview of Kubernetes, detailing its fundamental concepts, master‑worker architecture, networking model, security mechanisms, extensibility via custom resources, and an in‑depth examination of key source‑code modules such as kube‑apiserver, etcd, controller‑manager, scheduler, kubelet, and kube‑proxy, with links to the official repository.
This guide explains how to set up a Kubernetes pod to act as a Jenkins agent, covering prerequisites, deployment YAML, commands to launch and verify the pod and service, and the Jenkins UI configuration needed to connect the pod as a scalable CI/CD worker.
This article explains Kubernetes StatefulSet fundamentals, its headless service networking, access patterns, creation workflow, controller mechanics, and detailed procedures for updating, scaling, and deleting stateful pods with illustrative code examples.
Weaveworks, the company that coined the term GitOps, announced its closure due to unstable sales despite $10 million revenue, prompting industry analysis of GitOps’s commercial viability, competition with ArgoCD, and the future stewardship of the open‑source Flux project under CNCF.
This article explores multiple methods to specify custom DNS resolution inside Kubernetes containers, including editing /etc/hosts, using HostAliases, modifying the CoreDNS ConfigMap, applying custom DNS policies, and evaluating third‑party DNS plugins, with example manifests and code snippets.
This article introduces MetalLB, explains its deployment requirements, describes its Layer2 and BGP operation modes, provides step‑by‑step installation and configuration instructions for Kubernetes clusters, and demonstrates verification of the load‑balancing functionality.
This article explains how Alluxio enables lake‑warehouse integration by providing a data orchestration layer that caches data near compute, reduces storage‑compute separation costs, improves performance, and addresses challenges such as security, scalability, and multi‑cloud deployment, illustrated with several industry case studies.
This article explains Kubernetes Ingress fundamentals, compares major Ingress controllers such as Nginx, Kong, Traefik, HAProxy and APISIX, and details the internal architecture and Lua‑based extension points of the ingress‑nginx controller, providing a comprehensive guide for managing external traffic in cloud‑native environments.
This guide explains the background, architecture, common CRDs, installation steps, and practical usage of Prometheus‑Operator on Kubernetes, including how to create Deployments, Services, ServiceMonitors, and visualize collected metrics with Prometheus UI.
This article provides a comprehensive comparison between Zabbix and Prometheus, covering their functional architecture, metric collection methods, data storage, query capabilities, visualization options, and alerting mechanisms, helping readers decide which monitoring system best fits their enterprise needs.
This guide compiles a comprehensive set of kubectl and Docker commands for retrieving logs, sorting pods, managing secrets, cleaning resources, debugging, port forwarding, and performing cluster maintenance tasks, helping administrators streamline Kubernetes operations and troubleshoot issues effectively.
This article examines how a leading global industrial group leveraged a cloud‑native platform to design a disaster‑recovery solution that meets a sub‑2‑hour RTO and a 1‑minute RPO, detailing architecture, data‑layer strategies, middleware replication, application and access‑layer handling, and operational best practices.
This article explains the storage‑compute separation architecture introduced in StarRocks 3.0, presents industry case studies, details the design of StarOS and compute nodes, discusses technical challenges and key techniques, and evaluates cost, reliability, elasticity, and performance through benchmarks and user feedback.
Learn why ConfigMap and Secret are vital Kubernetes tools for managing non‑sensitive configuration and protecting sensitive data, explore common use cases like language settings and scaling, and follow best‑practice guidelines to secure and simplify your deployments.
The article details Minsheng Bank's step‑by‑step journey from traditional network monitoring to a full‑stack, zero‑intrusion observability platform built with DeepFlow, vTap, distributed data collection, and eBPF, illustrating concrete case studies and future plans for expanding business‑level monitoring.
This article introduces five major open‑source storage solutions—OpenEBS, Rook, GlusterFS, Ceph, and LongHorn—explaining how each simplifies persistent data management for Kubernetes workloads while offering features such as replication, self‑healing, and multi‑node scalability.
This article reviews the OpenKruiseGame project and its dashboard, showing how cloud‑native containerization, multi‑cloud support, and automated CI/CD pipelines transform game server deployment, scaling, and management for both PvP and PvE titles.
LiteIO is an open‑source, high‑performance, cloud‑native block device service that uses NVMe‑oF and SPDK to provide point‑to‑point storage pooling, enabling efficient FinOps, serverless scaling, hot upgrades, zero‑copy I/O, snapshots, and thin provisioning for databases and applications in Kubernetes.
This comprehensive guide presents 200 essential Kubernetes interview questions covering fundamentals, architecture, real‑world scenarios, and advanced topics, complete with concise answers, diagrams, and practical insights to help candidates ace container orchestration interviews.
The article describes how a company implements an idle compute sharing feature for dedicated Kubernetes clusters, leveraging Karmada to allocate spare CPU and memory to offline workloads, thereby improving resource utilization, reducing costs, and outlining usage scenarios, configuration steps, technical architecture, and future plans.
This article explains how the eBPF‑based ARMS monitoring solution provides non‑intrusive, language‑independent observability for cloud‑native microservices by addressing the shortcomings of traditional protocol parsers with a low‑overhead, real‑time parsing architecture.
The article outlines ten major digital technology trends for 2024—including quantum computing, 6G communications, artificial intelligence, cloud‑native architectures, digital twins, privacy protection, Web 4.0, satellite communications, computing networks, and IoT—describing their principles, current status, and prospective applications.
This article details the practical steps and architectural choices NetEase Cloud Music took to improve RPC stability in a micro‑service environment, covering service discovery, connection management, cloud‑native challenges, SLO design, log governance, degradation, rate limiting, outlier detection, thread‑pool isolation, fast‑failure handling, registry optimizations, multi‑registry support, and post‑incident knowledge‑base building.
This article explains how YHP enables cloud‑native systems to achieve comprehensive observability by defining the three core signals—metrics, traces, and logs—addressing common enterprise pain points, and presenting an integrated platform that unifies data collection, storage, analysis, and visualization for efficient fault diagnosis and performance monitoring.
This article explains what Rancher is, how to check system and software versions, and provides a detailed step‑by‑step guide to install Docker, pull the Rancher image, run the container with proper parameters, and configure access, clusters, alerts, and custom settings.
This article examines lossless scaling techniques for high‑concurrency microservice architectures, detailing the challenges of expansion and contraction, early scaling approaches, and advanced optimizations such as delayed registration, readiness probes, eager‑load Ribbon, cache preloading, health‑check strategies, and asynchronous consumer handling to ensure high availability, performance, and cost efficiency.
This article provides a comprehensive guide to Meshery, an open‑source cloud‑native management platform, covering its architecture, deployment options, service‑mesh management, performance testing, and MeshMap visual collaboration features for Kubernetes environments.
This guide walks through installing APISIX, defining security and functional requirements, developing a Java decryption plugin and a Lua body‑rewrite plugin, configuring them with Docker and APISIX, and setting up route rules to enable encrypted API traffic in a cloud‑native environment.
This article outlines Vivo’s journey from zero to a production‑grade microservice platform that now supports over 500 million users, detailing the business drivers, architectural capability matrix, open‑source component choices, challenges with registration and configuration centers, the engine upgrades, unified platform construction, and future directions for cloud‑native scalability.
This tutorial walks you through installing Helm, using Helm commands to find and install the Prometheus Helm chart, exposing the Prometheus service, and accessing the monitoring UI on a Minikube Kubernetes cluster, complete with code snippets and screenshots.
