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Integrations

Elasticsearch integration

Visualize all your Elasticsearch data.

With the Elasticsearch integration, you can visualize all the data you have held in Elasticsearch – logs, metrics, APM, security and more.

Sample Elasticsearch Dashboard

Here’s a dashboard that pulls back some sample data from the Kibana Sample Data Log index.

And here’s a peek at the query behind the visualization.

In this case we’re using a DSL query, but the tile also allows for a Lucene query. You are only limited by your imagination.

Share the insights across the team

Once you’re happy with the dashboard use Open Access to share it with the organization.

Easy as counting to five

Step one

Select the Elasticsearch tile.

Step TWO

Choose how you want to visualize your Elasticsearch data – a single value (scalar), a grid of data, a line graph, sparklines, bar, donut, or two different status blocks.

Step THREE

Select your provider.

Step FOUR

Pick your index and supply your query. Conveniently, the indexes are available for you to choose. Your query can be as straightforward (or complicated) as it needs to be to get the job done.

Step FIVE

(Optionally) Add some finishing touches like showing or hiding columns, making the rows clickable, adding a legend or labels to get the point across.

Available across our suite of products

SquaredUp DS
Standalone

For the dashboard hero who needs to provide answers across the business.

SquaredUp DS
for Azure

For cloud teams who need to take control of Azure cost and performance.

SquaredUp DS
for SCOM

For monitoring teams who need to unlock insights from Microsoft SCOM.

Want to learn more?

Find out more about working with the Elasticsearch tile in the following blog posts: 

Dashboard Server: Working with the Elasticsearch Tile
/blog/dashboard-server-working-with-the-elasticsearch-tile/

SquaredUp 5.1 is here
/blog/squaredup-5-1-is-here/

But if you want to dig a little deeper, check out these knowledge base articles:

How to add an Elasticsearch provider
See Support Article

How to use the Elasticsearch tile
See Support Article

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