When assessing the two solutions, reviewers found Apache log4j easier to use, set up, and administer. However, reviewers preferred doing business with Splunk Enterprise overall.
I've used this framework in my previous java project. It's easy to pick and choose the logging levels down to the class thus making debug my software much easier. Backed up by Apache tends to use in vast projects.
It increased the lines of code in your application. For bigger application, to get a lot of insights, this might be hectic.
Splunk is a fantastic tool that we depend on. It isn't just development work we rely on Splunk for, but we also use it for testing engineering changes as a standard before production releases. From ease-of-use, forwarding data from a variety of data...
Challenges include the perceived cost and licensing model, a learning curve for new users specially because of the SPL (Splunk Programming Language), and resource consumption in larger deployments. Effective optimization strategies are crucial.
I've used this framework in my previous java project. It's easy to pick and choose the logging levels down to the class thus making debug my software much easier. Backed up by Apache tends to use in vast projects.
Splunk is a fantastic tool that we depend on. It isn't just development work we rely on Splunk for, but we also use it for testing engineering changes as a standard before production releases. From ease-of-use, forwarding data from a variety of data...
It increased the lines of code in your application. For bigger application, to get a lot of insights, this might be hectic.
Challenges include the perceived cost and licensing model, a learning curve for new users specially because of the SPL (Splunk Programming Language), and resource consumption in larger deployments. Effective optimization strategies are crucial.