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The following is a chronicle of implementing a general purpose zero-instrumentation BPF based profiler for LuaJIT. Some assumptions are made about what this entails and it may be helpful to read some of our other work in this area. One major change from prior efforts is that instead of working with the original Parca unwinder we are now working with the OpenTelemetry eBPF profiler. If you missed t
tl;dr In our continued efforts to expand and improve your profiling experience, we are excited to announce new additions to our language support: Ruby and Python. All the features that are described in this blog post have recently been released as part v0.26.0 of Parca Agent. ~~While currently these language supports are in beta, they can be enabled using the --enable-ruby-unwinding and --enable-p
To walk the stack with this method, we need to keep a pointer to the previous frame. In the x86 architecture, this typically would be in the frame pointer, `$rbp`. As functions may call other functions, this register has to be stored on function entry and restored on function exit. This is accomplished by the so-called function prologue, on function entry, which might look like this push $rbp # sa
ATTENTION: ArcticDB has been renamed to FrostDB. Check out the blog post. End of last year we announced the Parca Open Source project and today we are excited to introduce arcticDB, an embedded columnar database written in Go building on top of Apache Parquet and Apache Arrow, powering Parca going forward. This blog post describes why we built it and what drove specific features and requirements,
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