An open-source container orchestration system called Kubernetes is primarily employed for the automated deployment, scaling, and management of software. Another name for Kubernetes is K8s. Initially created by Google, Kubernetes is currently maintained by the Cloud Native Computing Foundation. Although it now supports both containers and CRI-O in addition to the Docker runtime with which it was first intended to communicate.
Automating the operational chores of container management is Kubernetes' primary goal. It has built-in commands for application deployment and rolling out necessary modifications to the application. Companies like Google, Spotify, and Capital One are now using it.
What is DNS?
DNS stands for Domain Name System. It is a system for giving different types of information with unique easy to remember names. It is useful to give a lightweight mechanism for service discoveries. Due to the built-in service discovery, it is easy for applications to communicate with each other in Kubernetes clusters.Â
What is Kubernetes Services DNS?
In Kubernetes DNS record is created for both Services and Pods. we can use consistent DNS names instead of IP addresses to contact services. After scheduling a DNS Pod and Service on the cluster, Kubernetes DNS instructs the kubelets to tell the individual containers to use the DNS Service's IP to resolve DNS names. Every service that is defined in a cluster is given a DNS name, this includes the DNS server itself. The client Pod's search list will include the Pod's own name and cluster definition by default.Â
Namespaces of Services
A DNS query may return different results. The returned value is based on the namespace of the Pod that is making it. It is not specified by DNS queries that the namespace is limited to DNS queries. Think of a data service in the prod namespace and a pod in the test namespace. Due to the usage of the pod's test name case, a query for data yields no results, while a query for data does. Prod produces the desired outcome because the namespace is provided there.
DNS Records
DNS records are just like a address book for the internet, it translatesd the domain names into the IP address that computer can be understandable. It includes various types of records such as A records that used for pointing a domain to a specific IP address, MX records that used for email servers, and CNAME records that used for aliasing one domain to another. Proper management of DNS records is crucial for establishing smooth internet connectivity and service accesibility.
What Is CoreDNS?
CoreDNS is a flexible DNS server that is developed in go language. It is designed for modern cloud native environements that comes with modular architecture. It supports various plugins and will be supportive for customizing for different usecases. Its gaining popularity with diverse platforms beyond the kuberentes.
Difference Between Kube-DNS And CoreDNS
The following are the difference between kube-DNS and CoreDNS:
Features
| Kube DNS
| CoreDNS
|
|---|
Architecture
| kube-DNS is based on skyDNS that is mainly trained for kubernetes cluster
| CoreDNS is a general purpose DNS server that comes with modular design
|
|---|
Extensibility
| It has limited extensibility and cusomization options
| It is highly extensible through using middleware plugins
|
|---|
Performance
| It's performance has optimized for kubernetes workloads for having efficient service discovery
| It has efficient performance with configurable caching.
|
|---|
Flexibility
| It is mainly designed for k8s environments only.
| It can be suitable for the various environments and usecases.
|
|---|
Adoption
| It is widely adoptable within the kubernetes ecosystem.
| It has gaining the popular outside the k8s as well.
|
|---|
Confguration Files: Corefile
The Corefile is a configuration file that is used for DNS servers. It contains the definition and configurations regarding how CoreDNS should operates. It includes which plugins to use, their order and configuraiton parameters. Its simple syntax and modular design facilitates users to use coreDNS to their specific needs.
DNS For Services And Pods
DNS for services and pods are vital for communication within the cluster for having communication with their names.
- DNS For Services: It enables the support of establishing communication between the services through their names. It will map the name of service with respecitve their IP address and lets to have communication with names instead of IP addresses.
- DNS For Pods: It facilitatest intra-cluster communication of pods with their hostnames instead of having with their IP addresses. It lets pods can communicate with each other using these hostnames without the needing to known their IP addresses directly with providing abstraction in networking.
Kubernetes Service DNS
we can set up a DNS system with two well-supported add-ons namely CoreDNS and KubeDNS. The CoreDNS feature is one of the best and latest add on and it acts as a default DNS server. Both the add-ons can schedule a DNS pod or pods or services with a static IO on the cluster and both are named as kube dns in the metadata. name field.Â
Types of DNS Services
The types of DNS Services are listed as follows:
1. A/AAAA Records
2. SRV Records
A/AAAA Records
Normal services are assigned to a DNS A or AAAA record. For a name of the type my-svc.my-namespace.svc.cluster-domain.example, this will resolve to the cluster IP of the Service. This relies on the IP family of the Services.
Additionally, dependent on the IP family of the service, headless services are given a DNS A or AAAA record with the name of the format my-svc.my-namespace.svc.cluster-domain.example. This will resolve to the collection of pod IPs that the service has chosen.
.jpg)
SRV Records
They were primarily developed for named ports that were essential to Headless Services or regular services. Every named port will have an SRV record of the format _my-port-name. my-port-protocol.my-svc.my-namespace.svc.cluster-domain.example. This resolves to the port number and, in the case of a typical service, the domain name my-svc.my-namespace.svc.cluster-domain.example.
.jpg)
Pods
A/AAAA Records
A/AAAA records are essential components in DNS server. It helps in mapping the domain names to IPV4 addres ( A records ) and IPv6 ( AAAA records ) addresses. In the context of kubernetes pods, these records plays a vital role in enabling the communication within the cluster and with external services. A records handles the IPv4 addresses and AAAA records handles the IPV6 addresses facilitates in ensuring a seamless connectivity for pods across different network environments. Proper management of A/AAAA records is vital for maintaining a robust networking and ensurin a smooth operation of kubernetes workloads.
Features of DNS services
The main features of DNS services are:
- It can be used to map to a new IP address if the host's IP address is ever changed.
- It is easier to remember when compared to the IP address.
- It allows organizations to use a domain name hierarchy that is independent of any IP address provided.
DNS search Domain List Limits
The DNS search Domain List Limits refers to the maximum number of domains that be included in the search domain list configuration. This list will be used by DNS resolvers to expand the short, unqualified names into fully qualified domain names by appending each domain in the list in order. Exceeding this limit will raise the issues with the DNS resolvers in correctly searching the domain names.
Customizing DNS Service
Customization of DNS service in a network involves in configuring the DNS servers that will be suitable for specific needs. It may include in setting up the custom domain names, integrating with external DNS providers. By implementing DNS based security measures like DNS filtering facilitates with optimizing the performance of the DNS resolution. It facilitates with ensuring effiicient and secure resolutions of domain names across the network infrastructure.
Using CoreDNS for Service Discovery
CoreDNS is a powerful service discovery in kubernetes environment. By configuring CoreDNS as the DNS server in kubernetes we can efficiently establish the communication with services names resolving the IP challenges. In behind it maps the name of the services with respective their IP addresses. Using coreDNS we can simplify the networking and can it be abstracted within the kubernetes cluster. It will enhances the reliability and scalability of the infrastructure.
The following are the steps for configuring DNS for a Kubernetes Cluster:
Step 1 : Choose DNS Solution
- Select the DNS solution like CoreDNS or kube-DNS on considering its comptability with the kuberentes version and the specific reqirements.
Step 2: Install DNS Add-on
- Deploy the chosen DNS add-on to the kubernetes cluster using appropriate deployment method such as YAML manifests or package managers like Helm.
Step 3: Customize Configuration
- Try to modify the configuration file of the DNS server as per the requirements that suits for the cluster's requirements. It involves in adjusting the DNS policies, specifying the custom DNS providers or configuring additional plugins.
Step 4: Update CoreDNS/Corefile
- If the using the DNS server is CoreDNS then update the corefile for defining the DNS zones, plugins, and upstream resolvers as per needed. Make ensure that the desired changes are reflected on DNS behaviour for the cluster.
Step 5: Verify Configuration
- Now, test the configurations by resolving its domain names from within the cluster and ensuring that the DNS querires are properly routed to the DNS service.
Step 6: Monitor and Maintain
- By regularly maintaining the DNS performances, we can resolve any issues promptly. Maintaince of DNS configurations by updating it respective to the cluster evolves is recommended practice.
Pod's DNS Policy
Pod's policy in kubernetes facilitates in ensuring how DNS resolution should be conducted within the cluster. By default pods inherit the DNS settings from the node. They are facilitating the resolution through node's DNS configuration. Alternatively administrators can specify the policies like ClusterFirst or Default provides the consistency across pods and optimizes the network reliability and communication efficiency.
Trouble Shooting Issues of Kubernetes DNS
The following are the some of the trouble shooting issues of kubernetes DNS:
- Check Pod Network: Ensure that pod networking is correctly configured and functioning. DNS resolution relies on network connectivity between pods and DNS services.
- Verify DNS Service: Confirm that the DNS service is running and healthy within the Kubernetes cluster. Check for any errors or warnings in the DNS service logs.
- DNS Configurations: Review DNS configurations, such as ConfigMaps and CoreDNS settings, for any misconfigurations or conflicts. Ensure that DNS policies align with the cluster's requirements.
- Pod Resolvability: Verify that pods can resolve DNS names both within and outside the cluster. Test DNS resolution from various pods to ensure consistency and correctness.
Best Practices of Kubernetes External DNS
The following are the best practices of Kubernetes External DNS:
- Automate DNS Management: Utilize tools like ExternalDNS to automate the creation and management of DNS records for Kubernetes resources, ensuring consistency and reducing manual errors.
- Secure DNS Configuration: Implement proper access controls and authentication mechanisms for interacting with the external DNS provider to prevent unauthorized changes and ensure the security of DNS configurations.
- Use Consistent DNS Naming: Leverage Kubernetes DNS capabilities to provide consistent DNS names for Services and Pods, enabling seamless communication between components without relying on IP addresses.
- Monitor DNS Health: Regularly monitor the health and performance of External DNS services to detect and address any issues promptly. Monitoring can include checking DNS resolution latency, error rates, and overall service availability.
Similar Reads
Kubernetes Tutorial Kubernetes is an open-source container management platform that automates the deployment, management, and scaling of container-based applications in different kinds of environments like physical, virtual, and cloud-native computing foundations. In this Kubernetes Tutorial, you are going to learn all
8 min read
Introduction to Kubernetes
Installation and Setup
Application Deployment
What are Kubernetes Containers?Kubernetes is an open-source container orchestration framework that was originally developed by Google. Container orchestration is automation. It can facilitate you to deploy the identical application across different environments like physical machines, virtual machines cloud environments, or perha
15 min read
Kubernetes - Introduction to Container OrchestrationIn this article, we will look into Container Orchestration in Kubernetes. But first, let's explore the trends that gave rise to containers, the need for container orchestration, and how that it has created the space for Kubernetes to rise to dominance and growth. The growth of technology into every
4 min read
Kubernetes - ImagesPre-requisite:- Kubernetes A container image is used to represent binary data that is being used to encapsulate an application and all its software dependencies. Container images can be represented as executable software bundles that run standalone and make very defined assumptions about their runti
3 min read
Kubernetes - JobsPre-requisite: Kubernetes In the Kubernetes world, jobs are considered an object to act as a supervisor or controllers of a task. The Kubernetes job will create a pod, monitor the task, and recreate another one if that pod fails for some reason. Upon completion of the task, it will terminate the pod
4 min read
Kubernetes - Labels & SelectorsAn open-source container management platform called Kubernetes automates the deployment, scaling, descaling, and load balancing of containers (also called a container orchestration tool). It was created by Google in Golang and has a sizable community as a result of that. Google eventually donated it
5 min read
Kubernetes - NamespacesKubernetes Namespace is a mechanism that enables you to organize resources. It is like a virtual cluster inside the cluster. A namespace isolates the resources from the resources of other namespaces. For example, You need to have different names for deployments/services in a namespace but you can ha
9 min read
Kubernetes - NodeKubernetes Nodes are the Worker or master machines where the actual work happens. Each Kubernetes node has the services required to execute Pods and is controlled by the Control Plane. Each Kubernetes Node can have multiple pods and pods have containers running inside them. 3 processes in every Node
13 min read
Kubernetes - NodePort ServiceNodePort service in Kubernetes is a service that is used to expose the application to the internet from where the end-users can access it. If you create a NodePort Service Kubernetes will assign the port within the range of (30000-32767). The application can be accessed by end-users using the node's
5 min read
Kubernetes - ClusterIP vs NodePort vs LoadBalancerThree main service types are used in Kubernetes networking: ClusterIP, NodePort, and LoadBalancer. Each has a specific function in controlling external access and service-to-service communication. Comprehending their distinctions is essential for efficiently coordinating applications. This article e
7 min read
Kubernetes - ServicesSoftware deployment, scaling, and management are all automated using Kubernetes, an open-source container orchestration system. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computing Foundation. Despite the fact that it now s
3 min read
Kubernetes Pods: How to Create and Manage ThemKubernetes is an open-source container orchestration system mainly used for automated software deployment, management, and scaling. Kubernetes is also known as K8s. Kubernetes was originally developed by Google, but it is now being maintained by the Cloud Native Computing Foundation. It was original
13 min read
How to Run Shell Commands in Kubernetes Pods or ContainersIn Kubernetes, we create pods by adding an extra layer of information on containers. This Kubernetes in short is known as K8s, an open-source container orchestration tool developed by Google. It is used to orchestrate the containers for bringing Agility in software deployment through scaling, and ma
6 min read
Kubernetes - Creating Multiple Container in a PodPre-requisite:- Kubernetes Kubernetes is a container management tool and it automates container deployment, load balancing, and container scaling. It is open-source and developed by Google in 2014 and written in Golang. All cloud providers adopt Kubernetes. It is scheduled runs and manages isolated
3 min read
Kubernetes - Replication ControllerWith the help of the open-source container orchestration technology Kubernetes, software deployment, scalability, and management are mostly automated. Another name for Kubernetes is K8s. Google created Kubernetes, which is now overseen by the Cloud Native Computing Foundation. Even though it now wor
7 min read
Kuberneters - Difference Between Replicaset and Replication ControllerPre-requisite: Kubernetes Kubernetes is also known as K8s is an open-source container orchestration tool developed by google which is used for automating software deployment, scaling, and management. Currently, it is being maintained by the cloud native computing foundation(CNCF). K8s has two versio
4 min read
What is Kubernetes Deployment?Kubernetes is an open-source Container Management tool that automates container deployment, container scaling, descaling, and container load balancing (also called as container orchestration tool). It is written in Golang and has a huge community because it was first developed by Google and later do
10 min read
Configmaps
Kubernetes - ConfigMapsKubernetes allows you to run and manage applications in containers. However, when you need to update configurations like usernames, passwords, or URLs without modifying the application code, ConfigMaps provide an efficient solution. ConfigMaps separate application configuration from the application
10 min read
Kubernetes - Create Config Map From FilesPre-requisite: Kubernetes While creating a manifest file in Kubernetes, we can define environment variables. However, when you have a lot of manifest files, it will become difficult to manage the environment data stored in various manifest files. To overcome this issue, we can manage environment dat
3 min read
Kubernetes - Create ConfigMap From YAML FileA ConfigMap is a dictionary consisting of non-confidential data. Its primary role is to keep the configuration separate from the container image. ConfigMap can be created in different ways. This article will cover the declarative approach to creating ConfigMap from the YAML file. Example: apiVersion
1 min read
Kubernetes - Config Map From DirectoryPre-requisite:- Kubernetes Software deployment, scalability, and administration are mostly automated using Kubernetes, an open-source container orchestration framework. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computing F
2 min read
Kubernetes - Injecting ConfigMap as FilesPre-requisite:- Kubernetes The automated deployment, scaling, and administration of software using a system called Kubernetes, an open-source container orchestration tool. K8s is another name for Kubernetes. Kubernetes was initially developed by Google and is now managed by the Cloud Native Computin
3 min read
Kubernetes - Injecting ConfigMap in PodsPre-requisite: Kubernetes Leveraging the open-source container orchestration engine Kubernetes to automate the deployment, scalability, and management of applications. Another name for Kubernetes is K8s. Google originally created Kubernetes, which is currently overseen by the Cloud Native Computing
3 min read
Scaling and Updating Applications
Kubernetes - Service DNS An open-source container orchestration system called Kubernetes is primarily employed for the automated deployment, scaling, and management of software. Another name for Kubernetes is K8s. Initially created by Google, Kubernetes is currently maintained by the Cloud Native Computing Foundation. Altho
11 min read
Additional Topics
What is Kubernetes API ?Complete GuideKubernetes API is an application that serves Kubernetes functionality through a RESTful interface and stores the state of the cluster via HTTP. Users can directly interact with the Kubernetes API or via tools like kubectl. It supports retrieving, creating, updating, and deleting primary resources vi
14 min read
Kubernetes - Taint and TolerationA pod is a group of one or more containers and is the smallest deployable unit in Kubernetes. A node is a representation of a single machine in a cluster (we can simply view these machines as a set of CPU and RAM). A node can be a virtual machine, a physical machine in a data center hosted on a clou
6 min read
Kubernetes Resource Model (KRM) and How to Make Use of YAML?Here we will explain how YAML can simplify system management and automation of most processes so that Kubernetes is a convenient working system. Basic Kubernetes Models: KRM and Everything-as-CodeAccording to Kubernetes co-founder Brian Grant, Kubernetes is very convenient thanks to the Kubernetes R
6 min read
Installing Private Git Server on K8s Cluster with Gitea and AKSIn this article, we are going to install a self-hosted Gitea server on top of Azure Kubernetes Service with Helm and set up a git repo. Having a private Git server might be beneficial these days. Gitea is a community-managed Git-compatible lightweight code hosting solution written in Go. It is publi
4 min read
Enable Remote Debugging For Java Application Deployed in Kubernetes EnvironmentDuring Development, developers have to debug their applications to resolve code problems. In order to debug a java application which is deployed on remote machine in a Kubernetes cluster, first developer has to do some steps to enable its application ready for debugging. Below are the manual steps t
2 min read
How to Enable JMX For Java Application Running in the Kubernetes Cluster?Many times we want to monitor our application's CPU utilization, background thread behavior, and most importantly memory consumptions for tasks that deal with loads for data (500MB - 1GB) or much more data. Such monitoring helps to find which operation is causing heavy CPU or Memory utilization and
3 min read