Grafana vs. Shiny

Grafana is a one stop solution for all application monitoring needs. In our organisation, we use nodeJs. We run it using pm2. Since we didn't use Grafana it was hard for us to know if an app has stopped working unless we find it ourselves because our other app components were failing, or someone called us up and told about the situation. We were already using Grafana for monitoring our Ubuntu servers, but we hadn't had set it up for our app monitoring. Somehow we decided to monitor our nodeJs app with Grafana. It's a really good decision we made. We used Grafana nodeJs module "prom-client" for our node app which brought us relief from app failing situations. Since we have implemented Grafana for our Node app, it has helped us to monitor every health aspect of our node app. Now we have set up alerts based on heap-memory, so when heap memory goes beyond a set threshold we get notified and take the right steps ultimately saving our app from crashing and of course from losing business and reputation.

Incentivized

Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.

Incentivized

• It visualizes metrics very well coming from any well known data source.
• It sends alerts to collaboration channels when a threshold is breeched.
• Graphs and dashboards are portable (Graph-as-a-Code).

• Data tables are appealing to look at.
• Enables us to create trend indexes in an effective way.
• Easy to integrate with the rest of my R syntax.

Incentivized

• Functions to customize values
• Improved user experience

Incentivized

• Easier ways to connect to data sources
• Better access control for different roles in the organization
• Video material that allows a better learning experience

Incentivized

Grafana has a direct plugin to Icinga monitoring solution and allowed for easy configuration for us. At the time of implementation, other services did not have such an integration. As we already had a very customized and heavily introduced monitoring solution in place, we needed settings that could plug into the system quickly and efficiently. This was the case with Grafana and allowed us to have all the integrations we needed with services such as Icinga

Incentivized

- Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.

Incentivized

• Helps us to keep our application and server up all time
• Dashboards are easy to share with others

Incentivized

• We saw a good involvement to researchers when showing their models in shiny.
• We can have a quicker review from the user when the model is in production.
• False positives can be found easily and they help the retraining of the model.

Incentivized