![]() ![]() It has built-in support for Graphite and expressions like add, filter, avg, min, max functions etc. ![]() Either host it on-prem or on any cloud platform of your choice. a dozen databases with quite several plugins. These happenings can be notified on Slack or whichever communication tool the monitoring team uses. The tool has a plethora of visualization options to understand data as per our use case.Īlerts are set up and triggered like tripwires whenever an anticipated scenario occurs. From displaying graphs to heatmaps, histograms, Geo maps and so on. The dashboard is pretty equipped with various features and is continually evolving which helps us make sense of complex data. We can easily query, visualize, set up alerts, and understand the data with the help of metrics. Grafana takes care of all the analytics of our app. If you wish to get an in-depth insight into the application deployment infrastructure that includes topics like application deployment workflow, clustering, cloud storage, how services are deployed on the cloud globally across different cloud regions and availability zones, different cloud deployment and service models, check out my platform agnostic cloud computing course. In addition to this Kibana was used for monitoring but mostly it was for log tracking. I also could use past data that I could track on the dashboard by filtering down by time range for planning out future operations. This helped me starkly in gaining an in-depth understanding of the system’s behavior. Several pre-meditated checks were put in place and alarms were configured when they occurred. Initially, I set up the monitoring in the pre-production environment and later the tool was used to monitor events in the production environment. And Prometheus pulled data from cAdvisor. Queries were fired from the dashboard with different expressions such as min, avg etc. The data was pulled from Prometheus which was plugged into the Grafana dashboard as a data source. All of these scenarios were tracked on the Grafana dashboard, which made my life a lot easier. There were times when the instances were down or a critical issue caused the system to crash. ![]() The app instances were deployed as Docker containers managed by docker swarm. ![]() It helped me track metrics like the percentage of errors popping up, server uptime, etc. In my former project, I used Grafana for monitoring my application infrastructure. Each panel has different functionalities. The dashboard contains several different individual panels on the grid. The dashboards contain a gamut of visualization options such as geo maps, heat maps, histograms, and a variety of charts and graphs which a business typically requires to study data. These are a few of the many data sources that Grafana supports by default. The dashboards pull data from plugged-in data sources such as Graphite, Prometheus, Influx DB, ElasticSearch, MySQL, PostgreSQL etc. Here is a snapshot of a Grafana dashboard monitoring the infrastructure. What are they? More on that up ahead in the article.īefore that, let’s dig a little deeper into the functionality and the architectural flow of the tool with an understanding of the Grafana dashboard. I’ll discuss the industry use cases up ahead in the article.īesides the core open-source solution, there are other two services offered by the Grafana team called the Grafana Cloud and the Enterprise. Over time this framework has gained a lot of popularity in the industry and is leveraged by big guns such as PayPal, eBay, Intel and many more. It helps us track the user behavior, application behavior, frequency of errors popping up in production, pre-prod or any other environment, type of errors popping up and the contextual scenarios by providing relative data.Ī big upside of the project is it can be deployed on-prem by organizations that do not want their data to be streamed over to a vendor cloud for security reasons. The tool helps us study, analyze and monitor data over some time, technically called time series analytics. The open-source nature of the solution helps us alternatively write custom plugins to connect with any data source of our choice. Grafana connects with every possible data source such as Graphite, Prometheus, Influx DB, ElasticSearch, MySQL, PostgreSQL etc. Grafana is an open-source solution for running data analytics with the help of metrics that give us an insight into the complex infrastructure and massive amount of data that our services deal with, with the help of customizable dashboards. I’ll also share a bit of my experience with the tool.įor a complete list of similar articles on distributed systems and real-world architectures, here you go 1. It contains answers to all our questions about it such as what is it? Why use it? Can I deploy it on-prem? How popular is it? etc. This article is an in-depth write-up on Grafana – An open-source tool for running analytics and monitoring our systems online. ![]()
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