By Jesse Anderson
Containers are repositories that hold everything required to run a microservice, software process, application, or data analytics program. Each container includes everything required to run the program: executables, binary code, libraries, and configuration files. This could include Python code or Java code, plus dependencies such as Python modules, JAR files (for Java), interpreters, security software, and the secure sockets layer (SSL).
A container should not access anything outside itself; it is self-sufficient and functions outside of the network. Using a software version or piece of code that doesn’t reside within the container causes leakage. The problem with leakage is that anything located on the host operating system—that is, outside the container—is subject to change.
In the fast-paced world of analytics, containers can help analytics organizations remain nimble and efficient. Containerization solves many challenges…