Self-Healing: The Key to Fixing the Most Common Kubernetes Issues

The Deployment controller will notice this and automatically start a new Pod to take the observed number of Pods back to 5. You can see above that 5 out of 5 replicas are running and in ready state. The Deployment controller is also running on the control plane watching the state of things. You define an application in a Kubernetes Deployment manifest. You use kubectl to send this to Kubernetes and Kubernetes schedules the 5 Pods on the cluster.

kubernetes self healing

Rust and Go both offer language features geared toward microservices-based development, but their relative capabilities make them… Those unable to make the jump to microservices still need a way to improve architectural reliability. Self-healing is a quality that enables software to autonomously resolve issues based on a desired state. Kubernetes’ self-healing is built in, but it demands observation. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community.

( The Infrastructure Layer

The self-healing property applies only to Kubernetes resources but not to data. For instance, if I have a certain number of containers with a specific job to do, Kubernetes will vigilantly monitor them. If they fail, it will try to restart them on other available nodes.

kubernetes self healing

Kubernetes execute liveliness and readiness probes for the Pods to check if they function as per the desired state. The liveliness probe will check a container for its running status. As you can see, Kubernetes self-heals resources automatically. But stateful applications and databases require special care to ensure that the data is not lost when a container, node, cluster, or even a cloud region fails or gets deleted.

Production-Grade Container Orchestration

A variety of application errors can lead to out of memory errors in Kubernetes. Shoreline’s Pod Out of Memory Op Pack monitors for memory usage that hits a certain threshold and then captures diagnostic data. The data is then pushed to a cloud storage service while appending the data to a ticket or a Slack message to a pre-selected channel.

kubernetes self healing

We’ll take a deep dive into these issues later, but for now, we must focus on enabling engineers to master Kubernetes while on the job to avoid costly delays. While the potential challenges of Kubernetes may seem daunting, the benefits are too valuable to ignore. So how can you quickly diagnose and solve an issue when it does arrive? Well, here are three tips for continuously fixing the most common Kubernetes issues . Issues can still occur within Kubernetes, and they’re often difficult to fix.

Kubernetes can fit containers onto your nodes to make the best use of your resources. For example, you can automate Kubernetes to create new containers for your deployment, remove existing containers and adopt all their resources to the new container. Kubernetes is a portable, extensible, open source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. Kubernetes services, support, and tools are widely available. If a containerized app or an application component fails or goes down, Kubernetes re-deploys it to retain the desired state. Even though self-healing is a default capability of the Kubernetes platform, it still requires oversight.


This means that if your app is well containerized and a podwhere containers are placed crashes, Kubernetes will work to reschedule it as soon as possible. Containers are made available for clients only if they are ready to serve. This is where Kubernetes’ self-healing ability comes into play.

When leveraging cloud-managed Kubernetes, you needn’t worry about reliability and self-healing — the cloud will take care of it for you. As multi-cloud and hybrid deployments become increasingly prevalent, reliability becomes your responsibility; even if you use frameworks and tools like terraform. Properly rolling out Kubernetes with tools such as Terraform or kops is not enough. You need a component that is continuously and proactively monitoring the health status of all Kubernetes components ensuring prompt recovery with minimal impact on the rest of the cluster.

  • If the probe fails, Kubernetes will remove the IP address of the affected pod.
  • Microsoft’s Azure Load Testing rolls out with new features to create fast load tests, securely push code to test environments and…
  • One of the great benefits of Kubernetes is that it allows your infrastructure to self-heal.
  • TCPSocketAction – to implement a TCP check w.r.t to the IP address of a container.
  • Shoreline automatically cleans up old Argo pods whenever the total assigned IPs exceeds the threshold.
  • Kubernetes aims to support an extremely diverse variety of workloads, including stateless, stateful, and data-processing workloads.

It also offers automated scheduling and self-healing capabilities. The team at Shoreline has collectively spent A LOT of time on-call to resolve countless tickets at AWS. Shoreline is the tool we wish we had to eliminate tickets and improve availability. Our fault-resistant self-healing solutions can eliminate thousands of hours of degraded service by improving on-call team productivity and automating away production incidents. Shoreline’s Argo Op Pack heavily reduces the operational burden of administering Argo by decreasing overcapacity and lowering operating costs. It constantly monitors the local node, comparing the number of allocated IPs against a configurable threshold maximum.

Going back in time

HTTPGetAction–to implement a HTTP Get check w.r.t to the IP address of a container. TCPSocketAction–to implement a TCP check w.r.t to the IP address of a container. Kubernetes has self-healed to create a new node and maintain the count to 4. We need to set the code replication to trigger the self-healing capability of Kubernetes. HTTPGetAction – to implement a HTTP Get check w.r.t to the IP address of a container.

With VMware, for instance, the system may provision a new virtual node if the old one doesn’t respond anymore, etc. Developers can use Microsoft Azure Logic Apps to build, deploy reactjs I can’t create TypeScript template from create-react-app and connect scalable cloud-based workflows. Jellyfish adds value stream data to its productivity tracking tool for engineering teams that want to address inefficiencies in …

However, if an entire node goes down, Kubernetes generally isn’t able to spin a new one up. From a self-healing point of view, infrastructure could turn into the weakest link in the chain, jeopardizing the reliability of your applications. That’s because your clusters are only as reliable as the underlying infrastructure. Meaning the best Kubernetes management solution cannot protect you from poor infrastructure provisioning. Kubernetes models your application with abstractions over the compute and networking layers.

Unfortunately, however, Kubernetes has no provision or mechanism to enable infrastructure self-healing. A problem with Kubernetes itself or the infrastructure, such as a failed disk or network switch, could therefore disrupt a containerized application beyond Kubernetes’ ability to repair. We will see that our Kubernetes cluster has finally terminated the old pod, and we are left with our desired count of 3 pods.

The infrastructure layer is where servers, disks with container image files and network connectivity operate. The application layer houses the container entity, along with its code and dependencies. Prevent containers from appearing to users or other containers until they are ready. Kubernetes can run on-premises OpenStack, as well aspublic cloudslike Azure, AWS, Google, and more.

Kubernetes covers a broad surface area in your IT environment. That means many things could require attention when an issue occurs . As with Pods and Service objects, Deployments are defined in YAML manifest files.

Shoreline automatically cleans up old Argo pods whenever the total assigned IPs exceeds the threshold. It’s possible for Pods and the apps they are running to crash or fail. Kubernetes can attempt to self-heal a situation like this by starting a new Pod to replace the failed one. The command must run from the folder containing the deploy.yml file. The Deployment controller is watching the cluster and will see the change. So it’ll start a 5th Pod to bring observed state back in line with desired state.

One of the great benefits of Kubernetes is its self-healing ability. If a containerized app or an application component goes down, Kubernetes will instantly redeploy it, matching the so-called desired state. With self-healing Kubernetes, complex container environments can continue to function around the clock with virtually no need for human intervention when issues occur. Container problems are detected promptly and addressed using policies tailored by organizations.

We’re mainly going to look at how you keep your apps running without manual administration, but we’ll also look again at applications updates. Updates are the most likely cause of downtime, and we’ll look at some additional features of Helm which can keep your apps healthy during update cycles. Kubernetes ensures that the actual state of the cluster and the desired statue of the cluster are always in-sync. This is made possible through continuous monitoring within the Kubernetes cluster.

Use kubectl delete pod to manually delete one of the Pods . • The container provides the OS and other app dependencies. The State of Cloud LearningLearn how organizations like yours are learning cloud. Does not dictate logging, monitoring, or alerting solutions. It provides some integrations as proof of concept, and mechanisms to collect and export metrics. Each VM is a full machine running all the components, including its own operating system, on top of the virtualized hardware.