AWS is an essential part of many organizations’ tech stacks today, which is why we continue to make it easier to observe your environment in Grafana Cloud. We recently launched AWS Observability, a fully managed application for visualizing and alerting on dozens of AWS offerings. And with our latest update, we’re making it cheaper and simpler to ingest and query your AWS logs.

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.

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.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated charges on Amazon Web Services (AWS). They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer costs and how you can optimize them.

In microservices architecture, observability tools enable you to create central dashboards to gauge the health of your distributed systems. New age observability tools have shifted to providing quick workflows to debug application issues. In this post we will explore top 11 observability tools that you can consider to use for your software systems. In today's digital economy, distributed architectures have become the norm.