1.3

Does ledgersmb support SSL connection ?

Submitted by Chris Travers on

Q: How could I set it up ledgersmb to support SSL connection?

SSL support on Apache is handled by configuring Apache. For having LedgerSMB connect to PostgreSQL using SSL, you can set the PGSSLMODE environment variable to 'require' in the ledgersmb.conf. Note that by default, LedgerSMB will try to connect to PostgreSQL via SSL and fall back to unsecured connections if this is not available.

We highly recommend using SSL for any access to LedgerSMB over the network.

Why is LedgerSMB PostgreSQL-only?

Submitted by Chris Travers on

Adding support for other database management systems would require that the database logic be coded to the least common denominator. We have decided that we want to eventually allow add-ons in different languages, and thus the database becomes the only point where we can enforce accounting logic consistantly across all parts of the application. Porting and maintaining such logic across database systems is not feasible for this project.

Additionally PostgreSQL is an outstanding RDBMS and we have no desire to move from it.

I'm not an accountant, how do I learn how to keep my books?

Submitted by Anonymous (not verified) on

Quite a few users find some of the terminology and accounting processes a little confusing at first. Some of the more popular small business accounting packages tend to hide these aspects of book-keeping from users for simplicity, so with the current user interface there is often some new ideas to grasp.

First step is the manual - the LedgerSMB manual is free and highly recommended reading.

What is LedgerSMB?

Submitted by Chris Travers on

LedgerSMB is a fork of a popular general ledger software package called SQL-Ledger largely written and maintained by Dieter Simader.

SMB is an acronym for Small Medium Business.

Some of the improvements that we've made to the code base so far include:

  • Enhanced security
  • More reports
  • An Open Development Model
  • Code quality improvements
  • Quality assurance measures (automated testing)
  • Better data integrity controls
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