Now you can see detailed data for individual Pods, Containers and Nodes in your Kubernetes
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We run a micro-service architecture in Java... We have many services across many instances, and we must make sure that everything is working properly. DripStat is key to this... It helps us run our service at high performance levels.
How does DripStat help you run your infrastructure?
We run a micro-service architecture in Java. So we have many services across many instances, and we must make sure that everything is working properly. DripStat is key to this. It allows us to pinpoint GC issues and java exceptions. Through the use of alerting features the team always know if an issue is present, and it helps us run our service at high performance levels. By giving us a clear, detailed view down to the stack trace level, we're able to fix any issues that arise very quickly.
What do you think of DripStat EXPLORE technology that allows you to view data across your infrastructure?
DripStat Explore is a very important piece of technology that helps us understand performance issues with 3rd parties or even internally. We specially like the 'Relative to average' view of charts that allows us to detect services that are running slower than average.
What do you think of support received from DripStat?
The support has been great so far. We always had excellent answers very quickly.
Why did you choose DripStat over other APM vendors like NewRelic?
We wanted a more cost effective solution as we have a very limited budget. Most APMs cost model is not relevant for containers as they consider a container as a physical server. So for a micro service architecture like ours, the bill can be very high. However we did not want to sacrifice on functionalities as APMs are a great way to make your service so much better. DripStat was the only usable alternative that could fit this equation. Best of all, the product is evolving very quickly and new functionalities keep coming in that help us get better and better.