OverOps Advant

New OverOps Feature – Say hello to the new way to export application data from OverOps to your favorite tools

We use tools to make our lives easier, and perhaps the most valuable thing that our monitoring tools can offer us is good data. OverOps is the only platform that helps you identify and investigate known and unknown errors in production with automated root cause analysis, and also integrates with your full tooling ecosystem.

At OverOps, we believe in open standards and we want to help you get the most value out of the data that we provide. To achieve this, our team has been working on an exciting new feature, called Advant Stack, that will enable our users to export dynamic data sets for use in Anomaly Detection, Visualization, Analytics, and Telemetry. This post explores the many ways we help identify issues by investigating them through our new enhanced integrations feature.

Let’s take a look at what that actually means.

What Advant Stack Means for Your Data Analysis

Our new Advant Stack feature means that you will have greater control over your application data that is collected by OverOps. Since the data is exported dynamically to StatsD, you can consume it through a wide variety of 3rd party tools. For example: DataDog for anomaly detection and machine learning, Grafana for visualization and comparison with custom metrics, plus any other tool that can consume data from StatsD.

Anomaly Detection – Anomaly detection tools are used to detect or even predict when odd behavior (i.e. an anomaly) happens in the application. An example of an anomaly would be if a particular exception is thrown on average a thousand times an hour and then suddenly it jumps to a rate of a million times an hour. Now, these 3rd party anomaly detection tools can be used to find patterns and anomalies within your OverOps data.

Visualizing OverOps data with anomaly detection in DataDog via Advant Stack, top errors from the last day with highlighted anomalies

We also recently covered the top 5 tools in this category, check it out.

Also, keep an eye out for our own built-in Anomaly Detection solution coming in the next month or so. With our powerful mechanism for detecting newly introduced events, adding Automated Anomaly Detection is a natural next step for us. Get ready!

Visualization – With OverOps, you can create custom Views to filter exceptions that are related to specific microservices, deployments, methods and other criteria. For example, you might want to create a View called Team1 which would filter all errors that “Team 1” is responsible for in the given timeframe. Now, you can create advanced visualizations of this data using applications like Grafana and other tools with StatsD integration.

Users can create centralized dashboards in tools like Grafana with real-time data queries of custom metrics from OverOps

Analytics – Like with visualization, data sharing with external tools and applications allows for more robust analysis of OverOps data. With the export of event-level metrics, analysis can be expanded to align with each user’s individual needs. If you’re using a tool like ELK Stack, this new feature will dramatically improve your ability to analyze the health of your application with meticulous precision.

Kibana offers incredible visualization capabilities alongside the rest of the ELK Stack’s analytic and search tools.

Telemetry – Export internal JVM metrics to measure the health of your application when errors occur across microservices and deployments. Access to real-time querying of time series data on internal JVM metrics helps users see the broader scope of application health.

With the Advant Stack, OverOps takes full advantage of REST APIs to offer visualization and anomaly detection abilities to its users through data sharing with 3rd party applications.

Setting Up Your ‘Publish Metrics’ Configuration

Exporting your data from OverOps just got way easier. All you have to do is enable Publish Metrics in the app, and then your data export is completely automated. This means that you will be able to access all of the data that you see in OverOps for each exception in your favorite analysis and visualization tools. That includes all of the data from your predefined dashboard Views, all error analysis Events, plus crucial JVM metrics.

Users can publish metrics to any tool or application that is compatible with StatsD including Grafana, Slack, HipChat and more

Because the export configuration is dynamic, if you adjust one of your Views, for example, the changes will be reflected in the data sent to StatsD. This will give you a steady data flow that changes according to changes made in the OverOps dashboard.

Final Thoughts

Exporting data from the OverOps platform to any one of your favorite analysis and visualization tools has never been easier. Plus, keep an eye out for more exciting features coming soon like advanced visualizations with Grafana and out-of-the-box Anomaly Detection with OverOps.

Click here to learn more about Advant Stack, or add your questions and comments in the section below – we’d love to hear them! 🙂

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Tali studied theoretical mathematics at Northeastern University and loves to explore the intersection of numbers and the human condition. In her free time, she enjoys drawing and spending time with animals.