In this article, we will examine a Kubernetes metrics server and its uses. We will also learn how to set one up and use it to monitor Kubernetes metrics. Finally, we will explore using Hosted Graphite by MetricFire to monitor Kubernetes metrics. To easily get started with monitoring Kubernetes clusters, check out our tutorial on using the Telegraf agent as a Daemonset to forward node/pod metrics to a data source and use that data to create custom dashboards and alerts.

OpenTelemetry can auto-instrument your Java Spring Boot application to capture telemetry data from a number of popular libraries and frameworks that your application might be using. It can be used to collect logs, metrics, and traces from your Spring Boot application. In this tutorial, we will integrate OpenTelemetry with a Spring Boot application for traces and logs. Before the demo begins, let's have a brief overview of OpenTelemetry.

Kubernetes is now the industry standard for cloud-based organizations. Slowly, many enterprises and mid-level companies are adopting it as the default platform for managing their applications. But we all know Kubernetes adoption has its challenges, as well as its associated costs. How do we decide when and what to migrate to Kubernetes? Does migrating to Kubernetes mean overhauling all DevOps processes? Adopting K8S should not lead to an overhaul of your DevOps process - it should complement it.

In today’s dynamic IT environment, effective Digital Workspace Management and Digital Experience Monitoring (DEM) are critical for maintaining operational efficiency and optimizing Digital Employee Experience. For IT Operations and Service Desk teams, navigating the complexities of hybrid work environment and ensuring seamless service delivery is challenging now more than ever.

Data is essential for every business in the modern world. It is very important to keep this data safe because if it gets hacked, it could lead to terrible things like losing money, getting in trouble with the law, or having your reputation hurt. Imagine finding out that important business data or private customer information has been changed or hacked. The thought itself is scary.

We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

In the world of DevOps and cloud engineering, a new buzzword has emerged: Platform Engineering. This concept has sparked discussions across the industry, with professionals debating whether it replaces traditional DevOps or adds value to it. In reality, Platform engineering transforms how software teams work. It builds on DevOps principles to create self-service tools that boost developer productivity. This approach streamlines workflows, enhances security, and cuts operational costs.

Configuration templates consist of small pieces of code that allow administrators to implement changes across numerous devices as many times as necessary. These templates, often referred to as configlets, expedite system setup and make it more resistant to errors.

AWS disaster recovery strategies In today's interconnected world, business continuity is no longer a luxury but a necessity. Disasters, both natural and man-made, can cripple operations, leading to significant financial losses and reputational damage. To mitigate these risks, organizations are increasingly turning to cloud-based solutions, with Amazon Web Services (AWS) emerging as a preferred platform for disaster recovery (DR) strategies.

As organizations begin developing generative artificial intelligence (GenAI) applications, observability challenges could hinder their progress. Few robust monitoring tools for GenAI applications are available, which makes identifying and resolving issues in these applications time-consuming and error-prone.