Serverless architectures are exploding in popularity because you can rapidly deploy new applications and functionality without worrying about concerns such as scaling, fault tolerance, or paying for unused resources.
But, just like any application, serverless applications also experience performance problems. Functions may fail to execute or take a long time to run. Bottlenecks still occur. How do you debug and solve problems when you don’t have access to the servers running your code?
Many current monitoring approaches do not enable you to quickly identify and solve performance problems. Sometimes, your logs, metrics, and traces are siloed in different platforms. Other times, you simply need to see deep into your Lambda environment to pinpoint where your errors are occuring. Identifying and fixing performance issues can be difficult and time-consuming.
Siloed data and high level data cannot give you a wholepicture view into what is actually happening in your serverless environment. For this, you need Thundra.
Built for straightforward debugging, monitoring, and observability, Thundra provides deep insight into your entire serverless environment.
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