Do not discover everything with discovery rule - zabbix

I'm trying to monitor Routerboard Mikrotik devices using Zabbix.
So far so good... My only issue is that i'm using a discovery rule, this rule discover and create a graph for every single interface inside my MK
ether1 ether2 ether3 ether4 pppoe1 pppoe2 pppoe3 pppoe4 pppoe5 etc
I want this just to discover some specific vlans.
How can i do that?
I'm totally new to Zabbix and have no clue of *** i'm doing.
edit1:sorry about my bad english and my language.

You can use the filtering for low level discovery rules. For including, you can use a regexp directly in the LLD rule. For negating, using global regexps will be easier.
See the default Linux and SNMP templates for examples on filtering and using global regexps.

Related

Good practices for app configuration storage?

We have a number of loosely coupled apps, some in PHP and some in Python.
It would be beneficial to have some centralized place where they could get both global and app-specific configuration information.
Something like, for Python:
conf=config_server.get_params(url='http://config_server/get/My_app/all', auth=my_auth_data)
and then ideally use parameters as potentially nested attributes, eg. conf.APP.URL, conf.GLOBAL.MAX_SALES
I was considering making my own config server app, but wasn't sure, what would be the pros and cons of such approach vs. eg. storing config in centralized database or any other multiple-site accessible mode.
Also, if I perhaps was missing some readily available tool with good support, which could do this (I had a look at Puppet and Ansible, but they seemed to be very evolved tools for doing so much more than this. I also looked at software recommnedation SE for this, but they have a number of such question unanswered already).
I think it would be a good idea for your configuration mechanism not to be hard-coded to obtain configuration data via a particular technology (such as file, web server or database), but rather be able to obtain configuration data from any of several different technologies. I illustrate this with the following pseudo-code examples:
cfg = getConfig("file.cfg"); # from a file
cfg = getConfig("file#file.cfg"); # also from a file
cfg = getConfig("url#http://config_server/file.cfg"); # from the specified URL
cfg = getConfig("exec#getConfigFromDB.py"); # from stdout of command
The parameter passed to getConfig() might be obtained from, say, a command-line option. The "exec#..." format is a flexible mechanism, but carries the potential danger of somebody specifying a malicious command to execute, for example, "exec#rm -rf /".
This approach means you can experiment with whatever you consider to be an ideal source-of-configuration-data technology and later, if you discover that technology to be inappropriate, it will be trivial to discard it and use a different source-of-configuration-data technology instead. Indeed, the decision for which source-of-configuration-data technology to use might vary from one use case/user to another.
I developed a C++ and Java configuration file parser (sorry, no Python or PHP implementations) called Config4*. If you look at chapters 2 (overview of syntax) and 3 (overview of API) of the Config4* Getting Started Guide, you will notice that it supports the kind of flexible approach I discuss in this answer (the "url#... format is not supported, but "exec#curl -sS ..." provides the same functionality). 99 percent of the time, I end up using configuration files, but I find it comforting to know that my applications can trivially switch to using a different-source-of-configuration-data technology whenever the need might arise.

Does a JSON-RPC server exist for answering general Prolog queries?

I saw this tutorial for writing a JSON-RPC server for SWI-Prolog. Unfortunately, all it does is add two numbers. I'm wondering if there exists a RPC server for SWI-Prolog that can define new rules and answer general Prolog queries, returning JSON lists, etc?
When you take a tour on SWI-Prolog website, proudly self-powered, you can see at work some of the features offered by http package.
It's a fairly large range of tools, and to grasp the basic of the system, the easiest way it's to follow the specific How to section, step by step. There is a small bug you should be aware in the LOD Crawler: add an option on line 42 of lod.pl:
...
; rdf_load(URI2, [format(xml)]),
....
or you will probably get
Internal server error
Domain error: content_type' expected, found text/xml;charset=UTF-8'
when running the sample.
An important feature of the IDE it's the ability to debug the HTTP requests.
When done with the HowTo, you can take a look to Cliopatria, dedicated to interfacing RDF to HTML. It come with a pirates demo, I must say I find it a bit too 'crude' for my taste, and I don't know about YUI, used in the award winning MultimediaN project. Then I've used Bootstrap to gain a modern look for the front end, with appreciable result (I'm sorry I can't - yet - publish it, need more time to engineering the system).
HTH

What are the main issues with a db4o server without the persistent classes available?

I was told in a previous question that there can be issues when using db4o server without persistent classes. On the Versant web site, they just say that native queries won't be available.
So what are the issues possible in this particular configuration, except less features ?
Some features do not work:
All query methods except SODA queries do not work.
Some type of objects my create issues like enums etc.
The main concern is just the 'stability' and 'matureness' of this feature. db4o hasn't been design to work without the classes available. The test-suite and feature design is centered around scenarios with classes available.
Or from the internal implementation standpoint: The 'generic'-reflection layer is very brittle. That's the component which is required for this feature.
Well if up for taking a risk and only use SODA as query engine you can try it. However if you rather do not run into bugs / limitations than avoid it.

Inspiration on how to build a great command line interface

I am in the process of building interactive front-ends to a
distributed application which to date has been used to run workloads
that had a batch-job like structures and needed no UI at all. The application is mostly written in Perl and C and runs on a mix of Unix and Windows machines, but I think this isn't relevant to the UI.
The first such frontend is going have a command-line user interface --
currently, I envision something similar to the CLIs of the Procurve
switches and Cisco routers that I have worked with.
Like modern network gear CLIs, commands are going to resemble
simple sentences, (i.e. show vlans ports 1-4) and the CLI will
have some implicit state, much in the way that Unix shells and
cmd.exe in Windows have environment variables and current working
directories. Moreover, I'd like to implement great tab completion that
is aware of the application's state as much as possible and I want to be able to do that with as
little application-specific code as possible.
The low-level functionality (terminal I/O) seems easy to implement on
top of GNU Readline or similar libraries, but that's only where the
real fun starts. So far I have looked at the Perl modules
Term::Shell
and
Term::ShellUI,
but I'm not convinced that I want to use either of them. I am still
considering rolling my own solution and at the moment I am primarily looking for
inspiration.
Can you recommend any application or library, regardless of
implementation language, that implements a good CLI from which I can
borrow ideas?
I suggest you take a look at the philosophy underlying Microsoft PowerShell. From the idea of piping typed objects between commands to the consistency of its commands and argument syntax, I think it can be a source of inspiration.
You could try having a look at libcli :
"Libcli provides a shared library for
including a Cisco-like command-line
interface into other software."
http://code.google.com/p/libcli/
BTW - I forgot to mention that it is GNU Lesser GPL and actually used by Cisco in some products.
As for your last sentence/question, I'm particularly fond of zsh completion and line editing (zle).

What are some different ways of implementing a plugin system?

I'm not looking so much for language-specific answers, just general models for implementing a plugin system (if you want to know, I'm using Python). I have my own idea (register callbacks, and that's about it), but I know others exist. What's normally used, and what else is reasonable?
What do you mean by a plugin system? Does Dependency Injection and IOC containers sounds like a good solution?
I mean, uh, well, a way to insert functionality into the base program without altering it. I didn't intend to define it when I set out. Dependency Injection doesn't look particularly suitable for what I'm doing, but I don't know much about them.
A simple plugin architecture can define a plugin interface with all the methods the plugin ought to implement. The plugin handles event from the application, and can use the application's standard code, model objects, etc. to get things done. Basically the same as an ASP.NET Form does, except that you're overriding rather than implementing.
Nobody taught me this part, and I'm no expert, but I feel: In general a plugin will be less stable than its application, so the application should always be in control and only give the plugin periodic opportunities to act. If a plugin can register an Observer, then calls to the delegate should be tried/caught.
There is a very good episode of Software Engineering Radio, which you may be interested in.
For future reference, I have reproduced here the "Rules for Enablers" (alternative link) given in the excellent Contributing to Eclipse by Erich Gamma, Kent Beck.
Invitation Rule - Whenever possible, let others contribute to your contributions.
Lazy Loading Rule - Contributions are only loaded when they are needed.
Safe Platform Rule - As the provider of an extension point, you must protect yourself against misbehavior on the part of extenders.
Fair Play Rule - All clients play by the same rules, even me.
Explicit Extension Rule - Declare explicitly where a platform can be extended.
Diversity Rule - Extension points accept multiple extensions.
Good Fences Rule - When passing control outside your code, protect yourself.
Explicit API Rule - separate the API from internals.
Stability Rule - Once you invite someone to contribute, don?t change the rules.
Defensive API Rule - Reveal only the API in which you are confident, but be prepared to reveal more API as clients ask for it.
In Python you can use the entry-point system provided by setuptools and pkg_resources. Each entry point should be a function that returns information about the plugin -- name, author, setup and teardown functions, etc.
How about abstract factory? Your base program defines how the abstract concepts interact with each other, but the caller has to provide the implementation.