Unlocking Business Insights with Telemetry Pipelines

Imagine running a large company where data-driven decisions give you a competitive edge. You use a lot of business intelligence tools that tap into vast amounts of data, such as sales figures, inventories, and expenses. This analysis tells you how your company is performing. However, it does not reveal how your "company infrastructure" is performing. This crucial information comes from your systems in the form of telemetry data, such as logs and events.

Telemetry data can tell you if your users are abandoning carts at an alarming rate, or they have trouble booking flights, or they are struggling with the slow response of your website, much earlier than your BI systems can. This information is often not surfaced to business users in a timely fashion, missing out on the potential areas of improvement. But not anymore with the modern telemetry pipelines.

What is a telemetry pipeline 

A telemetry pipeline manages the collection, enrichment, transformation, and routing of telemetry data from different sources to different destinations. It offers significant benefits for a wide range of use cases, ranging from performance monitoring to user behavior analysis. Telemetry pipelines help organizations optimize operations, improve troubleshooting, and gain valuable business insights.

How telemetry pipelines can generate valuable business insights

Gartner notes that telemetry represents a rich and largely untapped source of business insight beyond event and incident response. Often, a number of business metrics are embedded in the logs, and if parsed correctly and aggregated, they can offer deep insights about your business operations that can help deliver a better customer experience and protect your revenue.

For example, in the sample log stream below, we can see the products and quantities ordered from a commerce website and the credit cards used to order them. However, sending credit card information in logs could be a compliance issue, and we want to detect how often such an issue occurs. A telemetry pipeline can help capture such occurrences and send them as metrics to your BI or visualization tools.

Now using the pipeline, we are detecting credit card violations and converting them into metrics as shown below:

Also, we can capture other business metrics such as ordered products as shown below:

Once all the information is captured it can be easily sent to your visualization tool, such as Grafana to create the dashboard that your business teams can monitor. For example, the dashboard below shows the credit card violations as well as the count of ordered products.

Telemetry pipelines continuously collect and analyze data from various sources, like user interaction logs or system performance metrics. This real-time data collection and analysis helps you identify trends, detect anomalies, and monitor user behavior. 

Moreover, by converting logs into metrics, you can reduce event data volume by up to 90%, streamlining data into actionable insights at a much lower cost. This is really helpful when you want to control log data volumes and costs. Rather than sending complete logs to your observability platform, you can identify a pattern and send a count of how many times that pattern occurs in your log stream over a period of time.

Mezmo: Your key to better business insights

Mezmo offers comprehensive visibility into your telemetry data, centralizing it to enable deeper business insights. You can ingest your log data from various sources to a single platform, with multiple options for parsing, transformations, and alert settings. This flexibility, along with the enrichment and routing capabilities, ensures that all your telemetry data can be used to generate insights in real time.

Leverage Mezmo to:

• Extract metrics from logs and events and send them to Grafana, Sysdig, Alerting, Log Analysis, and other tools.
• Get metrics from Kubernetes telemetry.
• Gain product insights by monitoring product usage.
• Convert bulky logs into metrics and extract metrics from them to reduce the data volumes and associated costs.
• Reduce cost in DataDog, ensure consistency of data between monitoring solutions, and deliver faster triaging.
• Use telemetry pipeline to organize, filter, and pass through critical data from Mezmo Log Analysis into DataDog as a destination.

In addition to telemetry pipeline, Mezmo telemetry data platform also offers Log Analysis to help you aggregate, search, and visualize critical log events to identify trends and unlock the power of log data. Use the insights to discover where your user experience can be improved, data storage costs can be reduced, and operations can be streamlined.

Discover Mezmo and strategically harness telemetry data for better business insights.

Our customer success stories

Here are some exciting real-life customer stories of how telemetry data of logs, events, and metrics helped improve performance and optimize resources.

1. A top airline wanted to monitor the efficiency of its CDN (Content Delivery Network) by tracking the average number of cache hits vs. the number of cache misses over a certain period of time. Telemetry pipelines helped them quickly calculate and analyze these metrics on the fly. The result? With the ratio of cache hits to misses, they could take action to improve the overall success of the CDN.
2. In another example, the same airline wanted to check the number of times specific APIs are used so that they could decommission unused APIs. They were able to analyze this quickly with telemetry pipelines, helping simplify their operations.
3. Another customer was looking to track an event over the course of an hour, create metrics, and then send that data to Log Analysis. The telemetry pipelines helped with this transformation, enhancing the efficiency of their analytics.
4. Systems engineers often need to manually generate metrics, which not only increases their workload but also creates potential traps for errors. For a large company, engineers generated metrics and then sent them to Prometheus/Grafana for rich visualizations. They wanted to automate this operation to reduce the workload and improve the accuracy. Telemetry pipelines helped extract the data from the log line, make an event to metric, and then send that directly to Prometheus/Grafana, saving engineers hours of toil.

Discover the potential of telemetry pipelines in unlocking business insights for your organization. Request a demo today.

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