'An Essential Guide to Polyglot Cloud Native Debugging: Beyond APM and Logging' by debugagent cloud debugging
In this post, I'll try to cover the gist of the talkt. You can see one of the longer versions of the talk that I gave at DDD at the end of 2021:There's practically an alphabet soup of terms covering public cloud, hybrid cloud, etc. There's also a lot of overlap between the various terms. The nice thing about this post is that it applies, regardless. You will run into problems with microservices, architecture, and monolithic applications or serverless.
Container orchestration, microservice architecture, serverless, etc. made scaling easier. But it also made application deployment far more challenging. Cloud infrastructures are much easier to deploy thanks to IaC solutions, but the complexity shifted. When we observe, we affect the observer. It's as true for Schrödinger's cat as it is for scalable applications.Modern observability tools are a marvel. I feel there should be a German word to describe the satisfaction one gets from a detailed APM dashboard. These tools enable the production of complex applications like nothing we've seen before.
Security - I've gone on record before on the security issues of remote debugging. Specifically JDWP but also other protocols Continuous observability flips the switch, we ask the system about specific information we would like to know. It's the natural progression of problem-solving... An observability platform points to a problem in our native software, and we use continuous observability to investigate the problem., which exposes its capabilities as a debugger for cloud-native computing environments.
Scale - you can debug multiple servers at once with tagging and similar features. No need to search through a huge cloud deployment Furthermore, injected logs are interlaced and ingested with the native logs. This gives them the context we need to understand the root cause of a problem.Debugging is first and foremost the practice of verifying assumptions. But some assumptions are harder to verify with snapshots or logs, e.g. "this is the method that slows my docker containers".
That can be exactly what I want, but what if I want to debug a problem that happens only under specific conditions, e.g. to a specific user...
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