Deliver high performance
- Keeping up with the speed of business
- Improve operations productivity by 100%
- Reduce performance issue response time from days to minute
Provide actionable insights
- Provide a stellar customer experience
- Maintain high availability and performance
- Gain valuable business intelligence
Tango is a free mobile messaging service based in California, with 250 million registered users in 224 countries. Through communication, social features and a compelling content platform, Tango users discover engaging ways to connect, get social and have fun.
"In our industry, the customer experience is the most important aspect," explains Guy Fighel, Director of Engineering at Tango. "Every time we have an outage or performance degradation, we lose a customer on that particular operation. And if that's repeated over and over, we lose the customer to our competition. Our number one priority is to keep everything working, with very good performance and minimal downtime."
Log analysis is an effective approach to performance management. In the past, Tango used command line tools to manually grab logs on the backend. On the client side, they pushed all the logs to a huge database, but they had to know what they were looking for and where to find it. They also didn't have critical capabilities such as correlating events coming from the backend and the client, and alerting on incidents or thresholds. Consequently, response time to solving performance issues was lengthy.
"We were completely blind to some events," says Fighel. "And when we finally found out about them, it was just too late, and we found ourselves in the middle of a crisis."
We know what to expect from our clients, so we can see even a slight change in performance. The Elastic Stack gives us the visibility. We are actually measuring response times in real time for 250 million customers all around the world. This is amazing. It's like sitting with a customer anywhere in the world, and I can see what the system is doing, and when and why it is not performing well. This is the real value of the Elastic Stack.
In addition to performance management, Tango also leverages the Elastic Stack for Business Intelligence (BI). For example, the Elastic Stack provides Tango with analytics on which features are used more frequently, and which version of Tango is more popular.
"We can do some basic BI analysis with the Elastic Stack, based on the operational and infrastructure data coming both from the client and the servers," Fighel says. "This helps us pinpoint the features that are working and the features that are not. Then we can change a feature or add a new one to improve the customer experience."
For example, Tango uses the Elastic Stack to identify specific geographical regions with low performance, possibly due to less reliable networks. Then Tango can partner with local cloud providers to enhance performance with a proxy layer in that region.
"This type of analysis is done exclusively with the Elastic Stack," Fighel says. "We didn't have any other option to analyze this before."
Tango uses New Relic for Application Performance Management (APM) to ensure the Tango app is performing for customers. Fighel says that log analysis via the Elastic Stack is a critically-important complement to augment APM.
"We use the Elastic Stack and New Relic APM side-by-side," he points out. "If you look at my screen, you will see APM on one side and Kibana on the other side. We can analyze the application performance issues with APM, but we have the Elastic Stack to see the logs from servers, a broad set of data coming from the client side, so we can analyze performance issues from another perspective."