An Internal Developer Platform (IDP) is a powerful tool for providing self-service infrastructure for developers. It allows developers to manage application lifecycles without the constant need for IT team involvement, streamlining the process from development to production. With its widespread adoption, Kubernetes has become the standard for running application workloads across various organizations.

Kubectl Top command can be used to retrieve snapshots of resource utilization of pods or nodes in your Kubernetes cluster. Resource utilization is an important thing to monitor for Kubernetes cluster owners. In order to monitor resource utilization, you can keep track of things like CPU, memory, and storage. In this article, we will see how to use kubectl Top command to get and read metrics about pods and nodes. We will also breakdown the output to understand what it means.

The kubectl logs tail command is a tool that allows users to stream the logs of a pod in real-time while using Kubernetes. This command is particularly useful for debugging and monitoring applications, as it enables users to view log output as it is generated and quickly identify any issues or problems with their application. In this article, we will see how to use the kubectl logs tail command to stream logs, the benefits of using the command, and an advanced tool for streaming logs.

The ELK (Elasticsearch, Logstash, and Kibana) stack’s main objective is to aggregate logs, but the vastly popular open-source project has numerous uses alongside aggregating logs. ELK can easily integrate with Kubernetes and is a common solution that enables users to gather, store, and examine Kubernetes telemetry data. However, with the continual rise of micro-service architecture, users are searching for an improved method of aggregating and searching through logs for debugging purposes.

As of 2023, Kubernetes firmly holds the reins of the container orchestration market with a commanding 92% market share, underscoring its position as the unparalleled leader in this domain. Celebrated for its exceptional scalability, robustness, and flexibility, Kubernetes boasts widespread integration across numerous industries, supported by development efforts from more than 7,500 companies.

Datadog’s Container Images view provides key insights into every container image used in your environment, helping you quickly detect and remediate security and performance problems that can affect multiple containers in your distributed system. In addition to having a snapshot of the performance of your container fleet, it’s also critical to understand large-scale trends in security posture and resource utilization over time.

Qovery is an Internal Developer Platform (IDP) designed to make Kubernetes developer-friendly. It offers self-service capabilities, allowing developers to efficiently manage and scale their applications. One of the standout features of Qovery is the ability to create Ephemeral Environments, which we will focus on in this guide. So keep reading to see how you can get a fully operational Ephemeral Environments system on your Kubernetes Cluster in less than 10 minutes.