Opening up the Total Memory graph, I see that the query is a traditional, multi-line SignalFlow query. My dashboard looks like this: Splunk Infrastructure Monitoring Enterprise plugin: Grafana dashboard. The single command auto-detects your OS, installs a collectd agent, and leverages your SFx access token so that the metrics automagically start flowing to the SFx SaaS service. In my test, I leveraged SignalFx’s one-line install (URL for the setup page on realm us1 is here). To populate data on the example dashboard, you need to be monitoring one or more hosts. To start learning how SignalFlow has been implemented in this plugin, I first took a look at the SignalFlow queries within the example dashboard. You are now ready to go! SignalFx sample dashboard In the end, your plugin configuration should look as simple as this: Splunk Infrastructure monitoring Enterprise plugin configuration. Under token Default, you will see a link that says Show Token. ![]() You can find your SignalFx access token by clicking on your avatar in the upper right of the SignalFx UI, then Organization Settings, and then Access Tokens. Your realm can be found as a component of your SignalFx URL. In order to configure your data source, you need your realm name and your SignalFx access token. Next, you will create your Splunk Infrastructure Monitoring data source in Grafana by going to Configuration > Data Sources > Add data source. First, you will need to download and install the plugin itself from our plugins page. Setup is very simple and straightforward. Getting started with Splunk Infrastructure Monitoring The outcome? That flexible, single-pane view of the underlying metrics that measure the health of your systems and applications to quickly correlate and debug for reduced MTTR. With the Splunk Infrastructure Monitoring plugin for Grafana, which is available for users with a Grafana Cloud account or with a Grafana Enterprise license, you can leverage everything you love about SignalFx/Splunk Infrastructure Monitoring while still centrally visualizing your other data sources side-by-side. ![]() We’ve officially renamed the plugin to reflect this, but please note that some references to SignalFx remain in the product and in this blog. Real-time analytics, so you can create composite metrics to model your KPIs and alert on those composite metrics in real time.īack in August 2019, Splunk acquired SignalFx, and today, SignalFx is an integral part of the Splunk Observability suite, rolled into the Splunk Infrastructure Monitoring product.Metrics at high resolution, down to one second.To help speed time-to-resolution, SignalFx promotes: SignalFx provides real-time monitoring and metrics for cloud infrastructure, microservices, and applications. That is where SignalFx would come into play. ![]() To top it off, your mission-critical application may even rely upon third-party APIs! From an observability perspective, the timeliness of metrics and analytics is critical, and automated triage and remediation is a must. Even worse, maintaining those SLAs is becoming even harder when your application resides on Kubernetes, where the workloads perhaps live only a few minutes and the interactions between the application’s microservices are complex. Supporting a 99.99% availability target means that there are only 4.38 minutes of downtime to spare on a monthly basis. If you have a “four nines’’ SLA for your business-critical application, time is of the essence. In this post, we are back to talk about metrics and showcase another one of our newest Enterprise plugins: Splunk Infrastructure Monitoring (formerly known as SignalFx)! In previous posts, you might have read our beginner’s guide to distributed tracing and how it can help to increase your application’s performance. Greetings! This is Mike Johnson reporting from the Solutions Engineering team at Grafana Labs. This post has been updated to reflect changes in the availability of the Splunk Infrastructure Monitoring data source plugin for Grafana Cloud users.
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