![]() ![]() It is only suitable for monitoring pure telemetry. Limited data model: Prometheus uses a time-series data collection model by default, which could be constraining and result in missing context.Simplified data collection: Prometheus uses a standardized pull-based approach to collect time-series data.Īmong the disadvantages of Prometheus are:.Range of metrics: Prometheus has a large number of libraries and exporters to collect various application and machine metrics, including community-built exporters that extend Prometheus’ monitoring coverage.User friendly: The API and query language are easy to use.Open-source: Operation is easier due to the open-source support.Both Kubernetes and Prometheus are CNCF projects, making Prometheus the obvious choice for Kubernetes monitoring. ![]() Kubernetes integration: Prometheus is tightly integrated with Kubernetes thanks to the embedded exporters.This query language lets you export data to a graphical interface like Grafana or send alerts using Alertmanager. The easiest option for this is cAdvisor, a built-in node-level exporter in Kubernetes.Īfter Prometheus has collected the data, you can use PromQL to view and share it. You also need to expose metrics related to cgroups. It is therefore necessary to use node exporters to expose information such as CPU, memory, bandwidth, and disk metrics. Prometheus retrieves machine and application metrics separately. The Kubernetes API enables Prometheus to discover data targets, including: Prometheus uses service discovery to identify targets for scraping data.Ī Kubernetes cluster should already have labels and tags, making it easier to keep track of each element’s status and any changes. With exporters attached, each application can return data to Prometheus, but you still need to tell Prometheus where to find the data. Exporters can accept the HTTP requests that Prometheus sends, ensure that the data is in a Prometheus-supported format, and return the relevant data to the central server. An exporter is a software component that sits alongside an application to help manage data that you cannot fully control. It can retrieve data directly from an application’s client library or through an exporter. Exportersīefore Prometheus can collect data, you need to make sure that it is correctly formatted and exposed. This system allows you to simultaneously monitor thousands of virtual machines from the same server. Prometheus uses a custom database to store cluster information, allowing it to handle large volumes of data. It then parses and stores the responses to scrape requests alongside the relevant metrics. It works by sending HTTP scrape requests based on the deployment file’s defined configuration. Prometheus uses pull requests to retrieve information. Monitoring Kubernetes Clusters with Prometheus ![]() This is part of a series of articles about Kubernetes monitoring. Prometheus can also help you implement security for cloud-native applications by detecting unusual traffic and behaviors that may indicate a threat or escalate into a cyberattack. It provides visibility into containerized applications, APIs, and workloads, which are typically difficult to observe given their complex, distributed nature. With Kubernetes Prometheus monitoring, you can configure live notification feeds and run flexible monitoring queries. Prometheus, commonly used for Kubernetes but which also supports other cloud native environments, is a set of open-source tools for monitoring and alerting in containerized and microservices-based environments.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |