Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Observability for Dockerized Java Applications   Docker is a virtualization technique heavily used in the industry to build
cloud-based systems. In the context of Docker, a system is said to be
observable if engineers can get accurate information about its running state in
production. In this paper, we present a novel approach, called POBS, to
automatically improve the observability of Dockerized Java applications. POBS
is based on automated transformations of Docker configuration files. Our
approach injects additional modules in the production application, in order to
provide better observability. We evaluate POBS by applying it on open-source
Java applications which are containerized with Docker. Our key result is that
148/170 (87%) of Docker Java containers can be automatically augmented with
better observability.

30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn