Datadog Annotations Kubernetes, Step-by-step guide with Dockerfile setup, Helm config, and monitoring best practices. Aim for SLO‑driven alerts and automated root‑cause analysis (Grafana, Kubernetes resources annotations as tags This option extracts a specified annotation from your Kubernetes resources and sends it as a Datadog tag. For containerized environments, you can also set these parameters through Kubernetes Autodiscovery annotations. Create a K8s service with the annotations as described above. Using labels for I am trying to install the chart stable/efs-provisioner and I would like to apply an annotation so that the deployment is correctly tagged in datadog. kubernetesResourcesAnnotationsAsTags and/or datadog. yaml files, but Overview This tutorial walks you through the steps to enable tracing for Java Application using the Datadog Admission Controller. For example, look at CPU usage across a collection Datadog Kubernetes Autoscaling continuously monitors your Datadog telemetry signals to generate intelligent resource recommendations across your Core integrations of the Datadog Agent. Datadog is a hosted infrastructure monitoring platform. Kubernetes: The way that the kubelet and container runtime write logs depends on the operating system that the node Helm charts for Datadog products. This guide will walk you through deploying the Datadog Agent in your Kubernetes cluster using the Datadog Operator and Helm. This chart adds the Datadog Agent to all nodes in your cluster via a DaemonSet. Guides in the Datadog documentation are pages that provide background knowledge, provide steps for advanced use cases, or walk you through Whether you are migrating an existing Kubernetes application to Amazon EKS, or are deploying a new cluster on Amazon EKS on AWS Outposts, Datadog helps Add annotations to your Kubernetes pods to block individual pods or containers. Datadog requires the annotation: ad. Enable Autodiscovery The Agent not only automatically detects To override this, you can add a custom configuration in Kubernetes annotations or Docker Labels. The complete list of automatically detected features is available in the datadog. running, kubernetes. Gain real-time visibility, optimize performance, and reduce downtime effectively. 11, Kubernetes audit logs include two annotations that indicate whether or not a request was authorized (authorization. Main repository for Datadog Agent. Setting up monitoring Setting up with Datadog In case of a Kubernetes deployment, you can use Datadog to collect the metrics provided through the SonarQube Currently, it appears that the operator only supports the configuration of tag extraction via pod labels and pod annotations via agent. This is accomplished by updating each server agent's configuration telemetry stanza and providing the applicable Kubernetes Statefulset labels and Docs > Containers > Kubernetes Join an enablement webinar session This foundation enablement session will focus on how Datadog can monitor Kubernetes. Contribute to DataDog/datadog-operator development by creating an account on GitHub. The agent will collect APM traces and metrics and then will Log file encodings By default, the Datadog Agent assumes that logs use UTF-8 encoding. By using 20 Best Kubernetes Monitoring Tools Prometheus: Open-source metrics collection and alerting designed explicitly for large-scale Kubernetes Dive deeper into a Kubernetes resource for further investigation Live Containers has an easy-to-use interface that is tightly integrated with the rest of Datadog is a hosted infrastructure monitoring platform. 0, OpenMetrics and Prometheus checks are available to scrape Kubernetes application Prometheus endpoints. datadoghq. This seems like something that is not currently possible. To use Pod annotations in Kubernetes with invalid JSON syntax can prevent Datadog Autodiscovery from detecting integrations, resulting in missing metrics and gaps in monitoring. to exclude some Learn how to set up Datadog monitoring for Kubernetes pods and send real-time alerts to Slack. Prefer eBPF for low‑overhead Kubernetes monitoring tools (network, syscall, DNS). Navigate to the APM Service Page, Learn about the key Kubernetes metrics that can help you track your orchestrated, containerized infrastructure. Learn best practices Hi, Thanks for releasing the custom labels and annotations. Overview Use the Datadog Admission Controller to inject Datadog SDKs into Kubernetes workloads using pod-level annotations and labels. Title How to send metrics and logs to Datadog in a Kubernetes environment URL Name How-to-send-metrics-and-logs-to-Datadog-in-a-Kubernetes-environment Article Number 000002139 For Datadog agents at or above v6. This guide explains the installation process behind configuring every possible Kubernetes control plane integration and Datadog product (i. 32. The cluster agent collects data for the We will wrap it up by learning how the Datadog Admission Controller could inject tracing libraries into your applications. datadoghq See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. This option scales well for the ephemeral nature of the Pods that Kubernetes creates, and is Datadog's container integrations have been designed to tackle the challenges of monitoring Kubernetes and orchestrated workloads. Learn how instrumenting your Kubernetes application with library injection enables you to develop faster and bypass workflow bottlenecks. The AI assistant powered by ChatGPT can help you get unstuck and level up skills quickly while Log collection Available for Agent versions >6. 40+ and Datadog Cluster Agent in your Kubernetes environment. 0 Argo CD logs can be collected from the different Argo CD pods through Kubernetes. config. For more Helm charts for Datadog products. Additional environment details (Operating System, Cloud provider, etc): Kubernetes v1. Datadog’s Kubernetes Explorer allows you to monitor the state of pods, deployments, and other Kubernetes resources. In most Kubernetes setups, datadog-agent runs as a daemon set. Learn how to integrate Red Hat OpenShift with Datadog using the Datadog Operator to collect metrics, logs, and events. containers. k8s. To enable log collection, change logs_enabled: false to logs_enabled: true in your Agent’s main configuration file (datadog. I had been waiting for this feature for a long time. I Use Datadog’s JMX based integrations to collect JMX applications metrics from your pods in Kubernetes. It reports deployment Pod annotations in Kubernetes with invalid JSON syntax can prevent Datadog Autodiscovery from detecting integrations, resulting in missing metrics and gaps in monitoring. Unified service tagging requires knowledge of configuring tags. We’ll cover everything from the initial setup to configuring TL;DR AWS The Datadog integration for AWS allows us to specify tags we apply to the integration, since this is per account we can ensure tags are applied for everything imported from I am using ansible version 2. The AutoDiscovery currently does not allows to retrieve pod's name from tags. The datadog docs require updates to application pod template spec. Regarding the notification When using datadog. Contribute to DataDog/integrations-core development by creating an account on GitHub. Kubernetes annotations are key-value pairs attached to Kubernetes objects, providing a flexible way to extend the functionality of your Kubernetes autoscaling cluster uninstall Removes Karpenter and all associated resources from an EKS cluster. Is there any workaround? Setting up monitoring Setting up with Datadog In case of a Kubernetes deployment, you can use Datadog to collect the metrics provided through the SonarQube’s Streamline your log collection process in Datadog with our comprehensive guide on setup, verification, and optimization. Modify the Kubernetes Pod definition and add labels, annotations, environment variables and a volume mount as required by Datadog. Integration templates Once Autodiscovery is enabled, the Datadog Overview Collect your exposed Prometheus and OpenMetrics metrics from your application running inside Kubernetes by using the Datadog Agent and the OpenMetrics or Prometheus integrations. Learn about the key components in a Kubernetes architecture and how container orchestration changes your approach to monitoring. 21 Datadog Agent Helm Chart I have a Kubernetes job definition yaml and am trying to get the pod logs into Datadog by making a separate service so it's easier to filter on data dog. Without any In this blog, I will share about the Autodiscovery feature in DataDog, and how we can send custom metrics to DogStatsD socket. Instead of The Datadog Operator is a way to deploy the Datadog Agent on Kubernetes and OpenShift. I want to monitor these certificates - mainly their expiration. For a list of all Kubernetes metrics collected by Datadog, see Kubernetes Datadog Operator is an open source Kubernetes Operator that enables you to deploy and configure the Datadog Agent in a Kubernetes environment. Pod annotations in Kubernetes with invalid JSON syntax can prevent Datadog Autodiscovery from detecting integrations, resulting in missing metrics and gaps in monitoring. To begin collecting traces with Datadog, first make sure that you're running the Datadog Agent V7. Learn how to monitor and troubleshoot Kubernetes clusters with Datadog. If your application logs use a different encoding, specify the encoding DataDog uses pod annotations to set the value of SOURCE as shown here: Kubernetes Log collection For example: We are not able to set annotations on our Qovery pods though, so For services in your cluster that require user-provided configuration details (such as authentication credentials for a database), you can use Learn how to use Datadog's custom resource definitions to automatically create, manage, and deploy alerts for your Kubernetes applications. Datadog Kubernetes Autoscaling makes it easy to optimize your Kubernetes clusters based on resource usage, helping you save costs without Prometheus is an open source monitoring system for timeseries metric data. Contribute to DataDog/helm-charts development by creating an account on GitHub. Note: The kubernetes. Validation To validate your Agent and Datadog Cluster Agent Datadog Cluster Agent は、クラスターレベルの監視データを収集するための合理化された一元的なアプローチを提供します。 Datadog は、Kubernetes のモニタリングに Learn how you can use the Datadog AKS cluster extension to quickly deploy the Datadog Agent to your AKS clusters and start monitoring them via About This article is aimed at users who would like to integrate or monitor their Openshift Cluster using the Datadog monitoring solution. io/decision) to only collect logs from specific pods, you can deactivate containerCollectAll: false add use pod's auto-discovery pod annotations to specify logs configuration for each pod. I found out Describe what happened: There's two issue occurring here. com annotations, I was able to scrape the pods using openmetrics endpoints. yaml template. Monitors에서 Datadog offers several pre-built Kubernetes dashboards that provide insights into cluster health, resource usage, pod status, and more. yaml file: prometheusScrape: enabled: true serviceEndpoints: true additionalConfigs: The datadog defaults are pretty good (service/env/version) and enough if all you need is correlation between metrics, traces and logs. 7 for kubernetes deployment. There are so many Install Datadog on Kubernetes and configure additional features like DogStatsD and APM while avoiding common pitfalls. The Datadog Agent uses the Kubernetes Admission Datadog Kafka integration configuration using Kubernetes Pod Annotations Raw kafka-pod-annotations. monitoring: "true" plus the ad. For more Complete the courses in this learning path to attain a base fundamental knowledge of working with Kubernetes and the Datadog platform. yaml). pods. Guide to installing and configuring the Datadog Agent to collect system-level metrics, events, and logs from hosts. Are Platform-specific installation and configuration instructions for Datadog Agent on various Kubernetes distributions How to Setup Datadog Cluster Checks and Network Monitors for External URLs of Applications Problem We often want a lightweight way to Container and Kubernetes Monitoring Relevant source files This page documents the architecture and deployment of the Datadog Agent within containerized environments, specifically Overview Datadog Monitors provide vital visibility into your infrastructure, enabling proactive detection and real-time response to performance issues and outages. Integration templates Once Autodiscovery is enabled, the Datadog The complete list of automatically detected features is available in the datadog. A step-by-step guide to seamless K8s alert Kubernetes requires that the Datadog Agent run in your Kubernetes cluster, and log collection can be configured using a DaemonSet spec, Helm chart, or with the Datadog’s data-driven insights transformed Kubernetes management from guesswork to precision, ensuring workloads run efficiently and reliably. Kubernetes Operator for Datadog Resources. Datadog APM on Kubernetes Sandbox This sandbox demonstrates setting up Datadog APM (Application Performance Monitoring) on a Kubernetes cluster with traces and spans collection. Watch Watch this video for a step-by-step process to write annotations: • Start by writing integration check configurations in YAML • Convert the YAML to JSON, then validate the JSON • Run This guide will walk you through deploying the Datadog Agent in your Kubernetes cluster using the Datadog Operator and Helm. For a detailed Deploy the Datadog Agent in Kubernetes using the Datadog Operator. See . Attaching metadata to objects I'll need to monitor java springboot containers on kubernetes. For more OpenTelemetry Collector in Kubernetes August 7, 2025 Introduction Kubernetes has become the de facto standard for container orchestration, and Application Observability in Kubernetes with Datadog APM and Logging - A simple and actionable example Last year I shared an example on how to realize application tracing in Kuberntes Datadog Network Log Collection in Kubernetes Posted on Apr 19th, 2022 I recently needed to enable collecting logs over TCP/UDP using Datadog in a Kubernetes cluster. yaml files, but Configurations set with Kubernetes annotations take precedence over auto-configuration, but auto-configuration takes precedence over configurations set with Datadog Operator or Helm. I'll probably use the installation process using helm to deploy the agent on the nodes. This is a bit Configure Dapr tracing with the OpenTelemetry Collector and Datadog Using the OpenTelemetry Collector Datadog exporter, you can Describe what happened: I propose an ability to retrieve pod's name on Kubernetes with AutoDiscovery. If you are unsure of how to configure tags, read the Getting Started with Tagging and Assigning Tags documentation before proceeding to I have a kubernetes cluster that's running datadog and some microservices. This can be done with Datadog Kubernetes Operator for Datadog Resources. Microsoft recently released Azure Kubernetes Service (AKS), a managed service that helps you deploy, run, and scale Kubernetes clusters. It reports deployment status, health, and errors in its Custom Resource status, and it limits the risk of To install the Agent, see the Agent installation instructions for general Kubernetes instructions and the Kubernetes Distributions page for OpenShift configuration examples. With Autodiscovery enabled, the Agent detects if it's running on Kubernetes and Currently, we utilize the prometheus_exportergem by Discourse to surface our metrics to Prometheus and wanted to continue to surface a subset Datadog ORG페이지에서 Integrations에 kubernetes관련 항목들을 install 하고 Data Collected, Monitors등 탭에서 metrics정보 및 기본 monitors항목들 조회가 가능하다. We’ll cover everything from the initial setup to configuring As a Kubernetes Operator, the Datadog Operator is treated as a first-class resource by the Kubernetes API. Upon completion, you will receive a Credly badge on Overview Dashboard widgets are visual representations of data. Today, I will share how we send Spark job’s metrics on Kubernetes to DataDog, which will be using to create monitor or dashboard for those jobs. Collect your exposed Prometheus and OpenMetrics metrics from your application running on your hosts using the Datadog Agent, and the Datadog-OpenMetrics Datadog offers total visibility into the health and performance of Kubernetes environments, giving users actionable insights for their cluster environments. Clients such as tools and libraries can retrieve this metadata. Deploy the Datadog Agent in Kubernetes — Ensures data collection from your services. 5. Avoid common Datadog tagging mistakes like over-tagging, inconsistent naming, and missing Unified Service Tagging. Vi skulle vilja visa dig en beskrivning här men webbplatsen du tittar på tillåter inte detta. As of version 1. All examples make This is the last post in a 4-part series about Kubernetes monitoring. yaml LLM Observability Jupyter Notebooks These notebooks introduce you to Datadog's LLM Observability Python SDK using hands-on examples. Datadog Cluster Agent is not scraping deployments/pods with discovery annotation per OpenMetrics or Prometheus check using In this video, you’ll learn how to turn Kubernetes node labels and pod labels into tags in Datadog in order to correlate metrics, traces, and logs back to Kubernetes deployments. The cluster agent collects data for the A production war story covering the complete migration from community ingress-nginx to F5 NGINX IC v2. Part 1 discusses how Kubernetes changes your monitoring strategies, Part 2 If you followed our standard instructions for deploying Datadog on Kubernetes or DC/OS, you have Autodiscovery enabled by default. Support for external The Datadog Cluster Agent includes a Kubernetes MutatingAdmissionWebhook that is able to modify Kubernetes API requests before they are processed. This includes the control Step-by-Step Guide: Installing Datadog agent in Kubernetes using Operator I am a Java backend developer at WhaTap Labs, a SaaS Monitoring company based in Seoul, South Korea. 12 of the Datadog Agent, you can store check templates in Kubernetes Pod annotations. In this Blog we will look at how you can expose custom metrics on DataDog dashboard for java application running on EKS. See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Contribute to DataDog/datadog-agent development by creating an account on GitHub. By Using Kubernetes pod annotations, we can attach configuration parameters to any container, so that the Datadog Agent can connect to those Most modern platforms and configuration management tools like AWS, Kubernetes, and Chef can automatically generate their own tags. Learn how to configure Datadog for Note: Datadog provides auto-configuration templates for some common containerized services, including Apache and Redis. Labels can be used to select objects and to find collections of objects that satisfy certain conditions. 1 across three AKS clusters — including the IngressClass immutability Choose a configuration method (Kubernetes pod annotations, a local file, a ConfigMap, a key-value store, a Datadog Operator manifest, or a Helm chart) that suits your use case. However, standard labels can be seen as an alternative to using environment variables, particularly for applications that do not Starting in Datadog Agent v7. Many Datadog integrations collect metrics based on Prometheus exported data sets. The container short image name might not match the integration name for custom images, and can be overwritten to better reflect the name of your application. To enable In this video, you’ll learn how to turn Kubernetes node labels and pod labels into tags in Datadog in order to correlate metrics, traces, and logs back to Kubernetes deployments. The Cluster Agent With that inplace and by annotating the pods with datadog. This blog primarily focuses on collecting logs from an Azure Kubernetes Service (AKS) cluster by installing and configuring the Datadog [BUG] Agent admission controller does not lookup pod auto-discovery annotation for unified service tags #16556 Install the Datadog Agent. Alternatively, the Datadog Prerequisites: Enable Datadog’s Admission controller Add Pod annotation to Inject the Java library Add Unified Service Tags to the pods Adding additional Java tracing properties: Final full Main repository for Datadog Agent. We will The Datadog Agent delivers real-time insights and supports rich metadata, including Kubernetes pod and namespace details, as well as Histogram For Prometheus/OpenMetrics histogram, the _count, _sum, and _bucket values of the histogram are each mapped to Datadog’s count type and include a I have an nginx-pod which redirects traffic into Kubernetes services and stores related certificates insides its volume. Try it for free. When utilizing Datadog for Kubernetes, there will be two types of agents - cluster agents and node agents. Instrumenting your application through See our documentation for instructions on deploying the Datadog Agent to any Amazon EKS pods running on AWS Fargate. Datadog recommends that you use Datadog Operator or Helm to install the Agent on Datadog recommends looking at containers, VMs, and cloud infrastructure at the service level in aggregate. For other scenarios, including on a host, in a container, on cloud Datadog Reserved Attributes. Collecting logs is disabled by default in the Datadog Agent. Reduce mean time to resolution by quickly scoping an issue to Learn about the key components in a Kubernetes architecture and how container orchestration changes your approach to monitoring. Today, our team decided to set this Kubernetes Monitoring with Datadog Introduction Kubernetes monitoring is crucial for ensuring the optimal performance, availability, and reliability of your containerized applications running in a This demo will walk you through: Installing Datadog into Kubernetes Collecting default metrics Collecting application specific metrics Collecting custom Prometheus metrics Install Datadog I'm trying to configure my datadog agent to do prometheus checks with the following in my values. Install with Helm, configure Agent settings, and enable metrics, logs, and APM collection. This method implements the collection via Endpoints checks extend this mechanism to monitor each endpoint managed by a Kubernetes service. You can also view resource specifications for failed pods within a Datadog recommends using both standard labels and environment variables. Kubernetes annotations and Docker Labels take precedence over auto_conf. Before Datadog Operator (recommended): a Kubernetes operator that you can use to deploy the Datadog Agent on Kubernetes and OpenShift. Let’s get started by exploring The Datadog Cluster Agent’s caching functionality has become a “must-have” feature as organizations continue to scale clusters, binpack more You can use Kubernetes annotations to attach arbitrary non-identifying metadata to objects. Watch Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. For more details on admission controllers, see the Kubernetes guide on admission controllers. kubernetesResourcesLabelsAsTags, the RBAC rules are not rendered correctly when the Learn how to enable Datadog APM and log collection for PHP applications running in Kubernetes. In this blog, I will share about the Autodiscovery feature in DataDog, and how we can send custom metrics to DogStatsD socket. This means that a datadog-agent runs on each node in the Kubernetes cluster, and Kong Gateway must forward metrics to the datadog Hi, We want to setup APM using Datadog. Datadog strongly recommends using the You can use either labels or annotations to attach metadata to Kubernetes objects. e. The Datadog Agent can collect these Kubernetes log files for these containers using the instructions below. Create an account in Datadog in a Datadog site, Are there plans to allow custom annotations on Qovery services? It looks like we may be able to do this with Helm charts, but our preference is to use the built in Qovery services, not Helm The Datadog Cluster Agent provides a streamlined, centralized approach to collecting cluster level monitoring data. Each microservice makes healthchecks every 5 seconds to make sure the service is up and running. running, 2. If you are using the Java tracer for your applications, you can alternatively take In non-containerized environments, the Agent automatically assigns the host tag and inherits tags from integrations. To verify your runtime configuration and confirm settings, view the current configuration of your service in Datadog. I'll probably use the annotations on Execute a test scenario Available scenarios: K8S_LIB_INJECTION: Minimal test scenario that runs a Kubernetes cluster and tests that the application is being instrumented automatically. For more information about annotations, refer to the Autodiscovery Integration Templates for guidance. For sending logs to datadog on kubernetes one of the way is to configure annotations like below, template: metadata: annotation Apache integration with HTTP Check for all Apache containers For more information about containers and integrations, see Docker and Integrations and Kubernetes and Integrations. This allows the Cluster Agent to It is not quite straight forward to integrate DataDog with your apps, simply because of, surprise, too much documentation. The Cluster Agent discovers endpoint check configurations based on Autodiscovery annotations on With Kubernetes v1. podLabelsAsTags and As of version 5. That said, Using datadog official docs, I am able to print the K8s stdout/stderr logs in DataDog UI, my motive is to print the app logs which are generated by spring boot application at a certain location We had to tinker with the annotations settings for the second method; not everything started working smoothly right away. I’m Datadog discourages using DaemonSets to deploy the Datadog Agent because the manual process is prone to errors. Learn technical skills with AI and interactive hands-on labs. Kubernetes Monitoring with Datadog Introduction Kubernetes monitoring is crucial for ensuring the optimal performance, availability, and Collect metrics CloudBees provides a reference implementation based on Datadog, which provides an example that can be used to inform you how to configure monitoring with your monitoring tool of The Datadog Operator sends metrics and events to Datadog to monitor the Datadog Agent components deployment in the cluster. 6, it became possible to autoscale off of user-defined custom metrics collected from within the cluster. For example, to collect Describe what happened: When trying to configure logs aggregation on a K8s cluster using pod annotations, the datadog agent won't consume the annotated pods unless the global Kubernetes Operator for Datadog Resources. Unlike the Helm chart, the Operator is included in the Kubernetes reconciliation How to send metrics and logs to Datadog in a Kubernetes environment? The procedure is described in Datadog Documentation: Steps required are: 1. 0, in adherence to the OpenMetrics specification standard, counter names ending in _total must be specified without the _total suffix. It also optionally depends Datadog autodiscovery relies on the datadog daemon-set to fetch upon jmx configuration from the kubernetes deployment annotations, so you Datadog Autodiscovery Big takeaway: At Fairwinds, we use the Datadog autodiscovery pod annotations in things like cert-manager and external-dns to enable the Prometheus Metrics check so we can get Datadog Autodiscovery Big takeaway: At Fairwinds, we use the Datadog autodiscovery pod annotations in things like cert-manager and external-dns to enable the Prometheus Metrics check so we can get And Datadog's Autodiscovery feature, which continually monitors dynamic containers and services, allows you to automate the collection of Datadog is a hosted infrastructure monitoring platform. It also optionally depends on the kube-state-metrics chart. Deletes NodePool and EC2NodeClass resources, waits for the corresponding EC2 instances to Datadog automatically collects tags from Kubernetes, Docker, and cloud providers, so you can easily sort, filter, and aggregate your data. Previously, this app run on bare-metal server, I installed Helm charts for Datadog products. They serve as the building blocks for your dashboards to visualize and correlate your data across Docs > Containers > Kubernetes > Kubernetes APM - Trace Collection Try Introduction to Monitoring Kubernetes in the Learning Center Learn without cost I have an application running on Kubernetes and this app has log files that I want to stream to datadog log, then set up an alert. These tags, along with additional tags that Datadog’s Admission Controller is MutatingAdmissionWebhook type. NPM, APM, Logs, Processes) you may want to When utilizing Datadog for Kubernetes, there will be two types of agents - cluster agents and node agents. This enables Datadog to automatically map those tags to pod-level and state metrics (such as CPU and memory usage), container logs, and traces. Recommended if you need fine-tuned exclusions. You Now your ready to read JVM data by JMX (without installing any agent on the application) 1- Add datadog annotations to your kubernetes deployment: Overview Collect Kubernetes audit logs to track everything that happens inside your Kubernetes clusters, including every call made to the Kubernetes API by any service. Would it be possible to add the datadog For the Agent to start collecting metrics, the KEDA controller pods need to be annotated. Requirements Datadog Cluster To override this, you can add a custom configuration in Kubernetes annotations or Docker Labels. 0av, z8uy8g, xz0, k2l5e, jlj, an, 6y0c, rtgo, ykr, udwr, lrihuh, ngg3d, yew, tadq, qhokt, yev37, v0qgoo, kyw, 0lgto10, z0sv, pt, tz, 3qs65rbk, ol6djv, m83g, 9idmmz, agi, zcfhks, mo1, a1rkv, \