Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes is a powerful orchestration tool for managing containers, but it comes with its own set of challenges. One of the biggest hurdles is effectively logging what's happening in your system. As your applications grow and spread across clusters, keeping track of their behavior becomes crucial. In this article, we will discuss logging in Kubernetes, common Kubernetes log types, and how logs can be effectively tracked and managed.

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.

Managing multiple Kubernetes clusters presents a significant challenge, primarily due to operational overheads, complexity, and the steep learning curve associated with Kubernetes' complex ecosystem. As organizations scale and deploy across various environments; production, staging, and development, the need for a robust tool to streamline management becomes crucial.

At Intel Vision April 2024, Densify won Intel Partner of the year for Cloud Solutions. This award recognizes the impact of our jointly developed offering: Intel® Cloud Optimizer. Densify – Cloud: For Densify’s collaboration with Intel to continuously fine-tune the Intel Cloud Optimizer software-as-a-service (SaaS) offering, to include a sophisticated understanding of key Intel hardware features and how they benefit specific customer workloads.