Visualizing your data

We offer our customers many different ways to visualize the data being ingested and analyzed in the product.

Dashboards and widgets

Dashboards are easy way to view data in the product.

Easily configure different  widgets to display any data in the system.

Drag and resize directly on the dashboard.

Check out the gear icon in the top left for additional viewing options. And remember, time controls provide a simple way to adjust the data being viewed.

Exploring Metrics

Quickly visualize metric charts from any element in your environment. Elements are the logical grouping of similar metrics (ex. Windows, EC2, RDS)

The metrics page is great for troubleshooting issues. Use filtering and grouping to view and categorize key metrics in your environment.

Drag charts on top of other ones to merge their content. Merged charts can also be added to dashboard by clicking the upper right corner.

Inventory View

The inventory view displays by element everything we are monitoring, but also includes some quick views of metrics, alerts, and metadata. This page supports filtering and sorting to isolate any elements.

Check out the gear in the top right of the page to add columns to the main page. These columns can come from any tag or attribute (metadata) in the system.

From this page you also have some administrative functions like delete, tag, and putting elements into maintenance mode.

Other tools

The product has many other tools to visualize data in the product but will be covered in those sections. The other two big use cases are the alerts generated by the monitoring tools and cost analysis.

All the cost analysis tools can be found under the reports tab in the top navigation bar.

Also remember the time controls and filters are global controls. The filters can be saved and follow you around the product to make it even easier to find and visualize your data.

Related Articles

Looking for more info? Check out these articles

EBS Burst Balance on AWS: Understanding and Optimizing

When you create a new AWS instance, you’ll notice that you’re given the option (in step 4 of the instance creation process) of adding an EBS storage volume. If you choose to take advantage of EBS volumes, you’ll want to make sure you are optimizing their performance...

Monitoring Time Series Data With The Metricly API

Time series data is simple enough to gather, but it is not very useful in its raw form. What you need is a system which can ingest, analyze and turn the data into meaningful statistics. Better yet, what you need is a system that already understands that data, and can...

Linux Memory Leaks: A Lesson in Debugging

Many of the tools and problems in this post will seem obvious to seasoned Python devs and those who have worked with these tools before, and even those who have worked extensively with performance issues. Unfortunately I am not a Python developer and did not start...

How to Optimize Your AWS RDS Costs with RDS Cost Reports

Amazon Relational Database Service, or RDS, is the Amazon Web Services (AWS) solution for organizations that need a highly scalable, highly available relational database, and don’t want to have to invest in personnel to manage and support that database. RDS supports...

Character Encodings: An Unfortunate Experience

The Netuitive team was recently plagued by a very interesting (read: "frustrating") behavior pattern in our data ingest platform. Element documents (denormalized JSON documents storing an element's metadata) were spontaneously growing to enormous sizes (up to 700MB)....

Where Performance Analytics Fit Within DevOps

When you hear people talking about DevOps, terms like “continuous integration,” “continuous delivery” and “agile” tend to dominate the conversation. “Performance analytics” is less likely to feature prominently. Yet to do DevOps effectively, performance analytics are...

5 Trends that Shaped DevOps in 2016

From major updates to infrastructure technologies like Docker, and new workflow strategies like ChatOps, 2016 has been an eventful year in the DevOps world. Below, I take a look back at some of the most significant DevOps developments of 2016, and consider how they...

Getting Started with Netuitive Process Resource Collector

Although most Linux distributions ship with some basic monitoring tools, they rarely offer in-depth solutions that can tell you exactly which processes are using which amounts of resources. Netuitive’s Process Resource Collector comes in handy for acquiring this...

Feature Highlight: Metric Explorer

Netuitive’s Metric Explorer offers a new way to look at the health of your environment as a whole, while retaining the ability to make deep dives into your metrics where necessary. Now dashboards aren’t the only way to track your analytics. You can explore your...

MySQL Database Monitoring with Netuitive

You can only compute as fast as your data can move. And if your data stops moving completely, you have a real problem. Data, in other words, is likely to be the biggest bottleneck in your software stack. Think about it. Today, networks can transfer gigabytes in...

Ready to get started with Metricly?

Sign up for free, and join DevOps who rate us 5-stars on Capterra!

21-day free trial No credit card required