Largest, most advanced collection of production-grade Nagios monitoring code (over 350 programs).

Specialised plugins for Hadoop, Big Data & NoSQL technologies, written by a former Clouderan (Cloudera was the first Hadoop Big Data vendor) and modern Hortonworks partner/consultant.

Hadoop and extensive API integration with all major Hadoop vendors (Hortonworks, Cloudera, MapR, IBM BigInsights), as well as most major open source NoSQL technologies, Pub-Sub / Message Buses, CI, Web and Linux based infrastructure.

Supports a a wide variety of compatible Enterprise Monitoring servers, can also run standalone on the command line or in scripts.

Most enterprise monitoring systems come with basic generic checks, while this project extends their monitoring capabilities significantly further in to advanced infrastructure, application layer, APIs etc.

It's a treasure trove of essentials for every single "DevOp" / sysadmin / engineer, with extensive goodies for people running Linux, Big Data, NoSQL and Web Infrastructure including Hadoop, Kafka, Elasticsearch, HBase, RabbitMQ, Cassandra, Solr / SolrCloud, Redis, CouchDB, Consul, Jenkins, Travis CI, SSL Certificate expiry, advanced DNS record checks, Whois domain expiry checker, Linux, RHEL / CentOS yum security updates, Git, MySQL ... etc.

Fix requests, suggestions, updates and improvements are most welcome via Github issues or pull requests (in which case GitHub will give you credit and mark you as a contributor to the project :) ).

Hari Sekhon

Big Data Contractor, United Kingdom

https://www.linkedin.com/in/harisekhon

1. a) Compile dependencies for executing locally by running make OR b) Download pre-built via Docker
2. Execute each program on the command line with --help to see its options

All plugins and their pre-compiled dependencies can be found ready-to-run on DockerHub.

List all plugins:

docker run harisekhon/nagios-plugins

Run any given plugin by suffixing it to the docker run command:

docker run harisekhon/nagios-plugins <program> <args>

eg.

docker run harisekhon/nagios-plugins check_ssl_cert.pl --help

There are also :centos (:latest), :alpine, :debian and :ubuntu tagged docker images available

git clone https://github.com/harisekhon/nagios-plugins

cd nagios-plugins

make

Some plugins like check_yum.py can be copied around independently but most newer more sophisticated plugins require the co-located libraries I've written so you should git clone && make on each machine you deploy this code to or just use the Docker pre-built container which has all plugins and dependencies inside.

You may need to install the GNU make system package if the make command isn't found (yum install make / apt-get install make)

To build just the Perl or Python dependencies for the project you can do make perl or make python.

If you only want to use one plugin, you can do make perl-libs or make python-libs and then just install the potential one or two dependencies specific to that one plugin if it has any, which is much quicker than building the whole project.

make builds will install yum rpms / apt debs dependencies automatically as well as a load of Perl CPAN & Python PyPI libraries. To pick and choose what to install follow the Manual Build section instead

This has become quite a large project and will take at least 10 minutes to build. The build is automated and tested on RHEL / CentOS 5/6/7 & Debian / Ubuntu systems. The automated build also works on Mac OS X but will not handle basic OS system package dependencies for Mac.

Make sure /usr/local/bin is in your $PATH when running make as otherwise it'll fail to find cpanm

The automated build will use 'sudo' to install required Perl CPAN & Python PyPI libraries to the system unless running as root or it detects being inside Perlbrew or VirtualEnv. If you want to install some of the common Perl / Python libraries such as Net::DNS and LWP::* using your OS packages instead of installing from CPAN / PyPI then follow the Manual Build section instead.

If wanting to use any of ZooKeeper znode checks for HBase/SolrCloud etc based on check_zookeeper_znode.pl or any of the check_solrcloud_*_zookeeper.pl programs you will also need to install the zookeeper libraries which has a separate build target due to having to install C bindings as well as the library itself on the local system. This will explicitly fetch the tested ZooKeeper 3.4.8, you'd have to update the ZOOKEEPER_VERSION variable in the Makefile if you want a different version.

make zookeeper

This downloads, builds and installs the ZooKeeper C bindings which Net::ZooKeeper needs. To clean up the working directory afterwards run:

make clean-zookeeper

All plugins come with --help which lists all options as well as giving a program description, often including a detailed account of what is checked in the code. You can also find example commands in the tests/ directory.

Environment variables are supported for convenience and also to hide credentials from being exposed in the process list eg. $PASSWORD. These are indicated in the --help descriptions in brackets next to each option and often have more specific overrides with higher precedence eg. $ELASTICSEARCH_HOST takes priority over $HOST, $REDIS_PASSWORD takes priority over $PASSWORD etc.

Make sure to run the automated build or install the required Perl CPAN / Python PyPI modules first before calling --help.

There are over 350 programs in this repo so these are just some of the highlights:

• check_hadoop_*.pl/py - various Apache Hadoop monitoring utilities for HDFS, YARN and MapReduce (both MRv1 & MRv2):
  • HDFS - cluster space, balance, block replication, block count limits per datanode / cluster total, safe mode, failed name dirs, WebHDFS (with HDFS HA failover support), HttpFS, HDFS writeability, HDFS fsck status / last check / run time / max blocks, HDFS file / directory existence & metadata attributes
  • Yarn - app last finished state / user / queue / elapsed time (batch job SLAs), queue apps allowed/disallowed (catch Spark Shells from production queue), app running (check long living yarn service is still alive), long running apps/jobs detection with name and queue include/exclude regexes (detect SLAs breaches for in-progress batch jobs or forgotten Spark Shells holding resources, both Spark Scala and PySpark), unhealthy NodeManagers, queue state, queue capacity, app stats, % of memory allocated, metrics with optional thresholds to check things such as activeNodes, appsPending, lostNodes, unhealthyNodes etc.
  • Hadoop general - Masters status and High Availability (ZKFC, active/standby status), nodes counts, dead nodes / blacklisted / unhealthy nodes, masters heap usage, gather metrics and JMX information with optional thresholds and graphing data
• check_hbase_*.pl - various Apache HBase monitoring utilities using Thrift + Stargate APIs, checking Masters / Backup Masters, RegionServers, table availability (exists, is enabled, and has minimum number of column families), number of expected table regions, unassigned table regions, regions stuck in transition, region count balance across RegionServers, compaction in progress (by table and by regionserver), number of regions in transition, longest current region migration time, hbck status and any inconsistencies, cell content vs optional regex + thresholds, table write and read back of unique generated values with write/read/delete latency checks against all detected column families, table write spray and read back of unique values across all regions for all column families with write/read/delete latency checks, gather metrics
• check_ambari_*.pl - Apache Ambari API checks for Hadoop clusters written running the standard open source Hortonworks distribution - checks the service status, node(s) status, stale configs, cluster alerts summary, host alerts summary, cluster health report, kerberos enabled, cluster version, service config compatible with stack and cluster
• check_cloudera_manager_*.pl - Hadoop cluster checks via Cloudera Manager API - checks states and health of cluster services/roles/nodes, management services, config staleness, Cloudera Enterprise license expiry, Cloudera Manager and CDH cluster versions, utility switches to list clusters/services/roles/nodes as well as list users and their role privileges, fetch a wealth of Hadoop & OS monitoring metrics from Cloudera Manager and compare to thresholds. Disclaimer: I worked for Cloudera, but seriously CM collects an impressive amount of metrics making check_cloudera_manager_metrics.pl alone a very versatile program from which to create hundreds of checks to flexibly alert on
• check_mapr*.pl - Hadoop cluster checks via MapR Control System API - checks services and nodes, MapR-FS space (cluster and per volume), volume states, volume block replication, volume snapshots and mirroring, MapR-FS per disk space utilization on nodes, failed disks, CLDB heartbeats, MapR alarms, MapReduce mode and memory utilization, disk and role balancer metrics. These are noticeably faster than running equivalent maprcli commands (exceptions: disk/role balancer use maprcli).
• check_ibm_biginsights_*.pl - Hadoop cluster checks via IBM BigInsights Console API - checks services, nodes, agents, BigSheets workbook runs, dfs paths and properties, HDFS space and block replication, BI console version, BI console applications deployed
• check_apache_drill_*.pl/.py - Apache Drill status and metrics for a given node, apply thresholds to a given metric or return multiple or all metrics
• check_atlas_*.py - Apache Atlas metadata server instance status, as well as metadata entity checks including entity existence, state=ACTIVE, expected type, expected tags are assigned to entity (eg. PII - important because Ranger ACLs to allow or deny access to data can be assigned based on tags)
• check_hiveserver2_llap_*.py - Apache Hive - HiveServer2 LLAP Interactive server status and uptime, peer count, check for a specific peer host fqdn via regex
• check_presto_*.py - Presto SQL DB
  • cluster checks (via coordinator API) - number of current queries, tasks, failed queries, worker nodes, failed worker nodes, workers with response lag to coordinator, workers with recent failures and recent failure ratios vs thresholds, version
  • per node checks - status, if coordinator, environment
  • per worker checks (via coordinator API) - specific worker registered with coordinator, response age to coordinator, recent requests vs threshold, recent successes, recent failures & failure ratio vs thresholds
• check_ranger_*.pl/.py - Apache Ranger checks:
  • policy checks - existence, enabled, has auditing enabled, is recursive, last updated vs thresholds (to catch changes), repository name and type that the policy belongs to
  • repository checks - existence, active, type (eg. hive, hdfs), last updated vs thresholds (to catch changes)
  • number of policies and repositories vs thresholds
• check_zookeeper.pl - Apache ZooKeeper server checks, multiple layers: "is ok" status, is writable (quorum), operating mode (leader/follower vs standalone), gather statistics
• check_zookeeper_*znode*.pl - ZooKeeper znode checks using ZK Perl API, useful for HBase, Kafka, SolrCloud, Hadoop HDFS & Yarn HA (ZKFC) and any other ZooKeeper-based service. Very versatile with multiple optional checks including data vs regex, json field extraction, ephemeral status, child znodes, znode last modified age

Attivio, Blue Talon, Datameer, Platfora, Zaloni plugins are also available for those proprietary products related to Hadoop.

• check_elasticsearch_*.pl - Elasticsearch cluster state, shards, replicas, number of nodes & data nodes online, shard and disk % balance between nodes, single node ok, specific node found in cluster state, pending tasks on a node, elasticsearch / lucene versions, per index existence / shards / replicas / settings / age, stats per cluster / index / node
• check_solr*.pl - checks for Apache Solr and SolrCloud including API write/read/delete, arbitrary Solr queries vs num matching documents, API ping, Solr Core Heap / Index Size / Number of Docs for a given Solr Collection, and thresholds in ms against all Solr API operations as well as perfdata for graphing, as well as SolrCloud ZooKeeper content checks for collection shards and replicas states, number of live nodes in SolrCloud cluster, overseer, SolrCloud config and Solr metrics.
• check_cassandra_*.pl / check_datastax_opscenter_*.pl - Apache Cassandra and DataStax OpsCenter monitoring, including Cassandra cluster nodes, token balance, space, heap, keyspace replication settings, alerts, backups, best practice rule checks, DSE hadoop analytics service status and both nodetool and DataStax OpsCenter collected metrics
• check_memcached_*.pl - Memcached API writes/reads/deletes with timings, check specific key's value against regex or value range, number of current connections, gather statistics
• check_couchdb_*.py - Apache CouchDB API checks including server status, database exists, doc and deleted doc counts, data size, compaction running, version
• check_riak_*.pl - Riak API writes/reads/deletes with timings, check a specific key's value against regex or value range, check all riak diagnostics, check node states, check all nodes agree on ring status, gather statistics, alert on any single stat
• check_redis_*.pl - Redis API writes/reads/deletes with timings, check specific key's value against regex or value range, replication slaves I/O, replicated writes (write on master -> read from slave), publish/subscribe, connected clients, validate redis.conf against running server to check deployments or remote compliance checks, gather statistics, alert on any single stat

These programs check these message brokers end-to-end via their API, by acting as both a producer and a consumer and checking that a unique generated message passes through the broker cluster and is received by the consumer at the other side successfully. They report the publish, consumer and total timings taken, against which thresholds can be applied, and are also available as perfdata for graphing.

• check_kafka.pl / check_kafka.py - Kafka brokers API write & read back with configurable topics/partition and producer behaviour for acks, sleep, retries, backoff, can also lists topics and partitions
• check_redis_publish_subscribe.pl - Redis publish-subscribe API write & read back with configurable subscriber wait
• ```check_rabbitmq*.py` - RabbitMQ brokers AMQP API write & read back with configurable vhost, exchange, exchange type, queue, routing key, durability, RabbitMQ 'confirms' protocol extension & standard AMQP transactions support. Checks via the RabbitMQ management API include aliveness queue health test, built-in health checks, cluster name, vhost, exchange with optional validation of exchange type (direct, fanout, headers, topic) and durability (true/false), user auth and permissions tags, stats db event queue

• check_jenkins_*.py - Jenkins checks include job build status, color, health report score, build time, age since last completed build, if job is set to buildable, job count total or per view, number of running builds, queued builds, executors, node count, offline nodes, jenkins mode, is security enabled, if a given node is online and its number of executors, if a given plugin is enabled and if there are available plugin updates individually or overall, with perfdata for relevant metrics like build time, jobs/nodes/executors/plugins/plugin updates, running/queued build counts and query timings
• check_travis_ci_last_build.py - Travis CI repo's last build status - includes showing build number, build duration with optional thresholds, start/stop date & time, if there are currently any builds in progress and perfdata for graphing last build time and number of builds in progress. Verbose mode gives the commit details as well such as commit id and message
• check_dockerhub_repo_build_status.py - DockerHub Automated Build status check for a given DockerHub repository's latest build or latest build for a given tag. Returns status and tag of last build along with perfdata for graphing build latency (time between build creation and completion) and query timing. Optionally also returns in verbose mode what triggered the build (webhook, revision control change, API / website trigger), created and last updated date timestamps and build URL to investigate

• check_ssl_cert.pl - SSL certificate checker - checks certificate expiry (days), validates domain, chain of trust, SNI, wildcard domains, SAN certs with multi-domain support. Chain of Trust support is important when building your JKS or certificate bundles to include intermediate certs otherwise certain mobile devices don't validate the SSL even though it may work in your desktop browser
• check_whois.pl - check domain expiry days left and registration details match expected
• check_dns.pl - advanced DNS query checker supporting NS records for your public domain name, MX records for your mail servers, SOA, SRV, TXT as well as A and PTR records. Can optionally specify --expected literal or --regex results (which is anchored for security) for strict validation to ensure all records returned are expected and authorized. The record, type and result(s) are output along with the DNS query timing perfdata for graphing DNS performance
• check_mysql_query.pl - flexible free-form MySQL SQL queries - can check almost anything - obsoleted a dozen custom MySQL plugins and prevented writing many more. Tested against many versions of MySQL and MariaDB. You may also be interested in Percona's plugins
• check_mysql_config.pl - detect differences in your /etc/my.cnf and running MySQL config to catch DBAs making changes to running databases without saving to /etc/my.cnf or backporting to Puppet. Can also be used to remotely validate configuration compliance against a known good baseline. Tested against many versions of MySQL and MariaDB
• check_puppet.rb - thorough, find out when Puppet stops properly applying manifests, if it's in the right environment, if it's --disabled, right puppet version etc
• check_disk_write.pl - canary write test, catches partitions getting auto-remounted read-only by Linux when it detects underlying storage I/O errors (often caused by malfunctioning block devices, raid arrays, failing disks)
• check_docker.py - checks a Docker image has been pulled with optional checks on the image checksum and size
• check_git_branch_checkout.pl/.py - if deploying from a git checkout (eg. puppetmaster), make sure it stays on the expected branch otherwise you could auto-deploy the wrong stuff
• check_aws_s3_file.pl - check for the existence of any arbitrary file on AWS S3, eg. to check backups have happened or _SUCCESS placeholder files are present for a job
• check_consul_*.py - Consul API write / read back, arbitrary key-value content checks, number of cluster peers & version
• check_mesos_*.pl - Mesos master health API, master & slaves state information including leader and versions, activated & deactivated slaves, number of Chronos jobs, master & slave metrics
• check_linux_*.pl/.py - checks RAM used, CPU context switches, system file descriptors, interface errors / promiscous mode / duplex / speed / MTU / stats, load normalized per CPU core (more useful than the default check_load plugin which would need different configs for heterogenous hardware), timezone settings, users / groups present (eg. PAM/LDAP integration is working), duplicate UID/GIDs (helps detects rogue uid 0 accounts and more common LDAP vs local id range overlap misconfigurations), groups.allow contains only specific groups
• older/check_*raid.py - RAID controller / array checks for 3ware, LSI MegaRaid / Dell PERC controllers (they're rebranded from LSI), and Linux software MD Raid. I also recommend the widely used Dell OpenManage Check
• check_ssh_login.pl - performs a full SSH login with username & password, good for testing your Dell DRAC / HP iLO infrastructure is properly secured and accessible. Also works for your Linux servers and even Mac OSX
• check_*_version*.pl/.py - checks running versions of software - originally written to detect version inconsistencies across large clusters of servers and failed/partial upgrades across large automated infrastructures. Now also used to check Docker tagged images contain the right versions of the expected software (which double validates that other programs in this and other github repos have actually been tested against all the expected versions) check_cluster_version.pl can be used to tie together versions returned from many different servers (by passing it their outputs via Nagios macros) to ensure a cluster is all running the same version of software even if you don't enforce a particular --expected version on individual systems
• check_yum.py / check_yum.pl - widely used yum security updates checker for RHEL 5 - 7 systems dating back to 2008. You'll find forks of this around including NagiosExchange but please re-unify on this central updated version. Also has a Perl version which is a newer straight port with nicer more concise code and better library backing as well as configurable self-timeout. For those running Debian-based systems like Ubuntu see check_apt from the nagios-plugins-basic package.

... and there are many more plugins than we have space to list here, have a browse!

This code base is under active development and there are many more cool plugins pending import.

These allow you to use any standard nagios plugin with other non-Nagios style monitoring systems by prefixing the nagios plugin command with these programs, which will execute and translate the outputs:

• check_mk_wrapper.py - executes and translates output from any standard nagios plugin to Check_MK local plugin format
• geneos_wrapper.py / csv_wrapper.py - executes and translates output from any standard nagios plugin to Geneos / CSV format

The following is pulled from my PyTools repo (currently one of my favourites):

• find_active_server.py - returns the first available healthy server or determines the active master in high availability setups. Configurable tests include socket, http, https, ping, url with optional regex content match and is multi-threaded for speed. Useful for pre-determining a server to be passed to tools that only take a single --host argument but for which the technology has later added multi-master support or active-standby masters (eg. Hadoop, HBase) or where you want to query cluster wide information available from any online peer (eg. Elasticsearch, RabbitMQ clusters). This is downloaded from my PyTools repo as part of the build and placed at the top level. It has the ability to extend any nagios plugin to support multiple hosts in a generic way if you don't have a front end load balancer to run the check through. Example usage:

./check_elasticsearch_cluster_status.pl --host $(./find_active_server.py --http --port 9200 node1 node2 node3)

There are now also simplified subclassed programs so you don't have to figure out the switches for more complex services like Hadoop and HBase, just provide hosts as simple arguments and they'll return the current active master!

• find_active_hadoop_namenode.py
• find_active_hadoop_yarn_resource_manager.py
• find_active_hbase_master.py
• find_active_solrcloud_node.py
• find_active_elasticsearch_node.py

For HTTP based plugins Kerberos is implicitly supported by LWP as long as the LWP::Authen::Negotiate CPAN module is installed (part of the automated make build). This will look for a valid TGT in the environment and if found will use it for SPNego.

Most of the plugins I've read from Nagios Exchange and Monitoring Exchange (now Icinga Exchange) in the last decade have not been of the quality required to run in production environments I've worked in (ever seen plugins written in Bash with little validation, or mere 200-300 line plugins without robust input/output validation and error handling, resulting in "UNKNOWN: (null)" when something goes wrong - right when you need them - then you know what I mean). That prompted me to write my own plugins whenever I had an idea or requirement.

That naturally evolved in to this, a relatively Advanced Collection of Nagios Plugins, especially when I began standardizing and reusing code between plugins and improving the quality of all those plugins while doing so.

• specific error messages to aid faster Root Cause Analysis
• consistent behaviour
• standardized switches
• strict input/output validation at all stages, written for security and robustness
• code reuse, especially for more complex input/output validations and error handling
• multiple --verbose levels & --debug mode
• --warning/--critical thresholds with range support, in form of min:max (@ prefix inverts to expect value outside of this range)
• support for use of $USERNAME and $PASSWORD environment variables as well as more specific overrides (eg. $MYSQL_USERNAME, $REDIS_PASSWORD) to give administrators the option to avoid leaking --password credentials in the process list for all users to see
• self-timeouts
• graph data (PNP4Nagios add-on auto-graphs the perfdata from these plugins)
• continuous integration with tests for success and failure scenarios:
  • unit tests for the custom supporting perl and python libraries
  • integration tests of the top level programs using the libraries for things like option parsing
  • functional tests for the top level programs using Docker containers for each technology (eg. Cassandra, Elasticsearch, Hadoop, HBase, ZooKeeper, Memcached, Neo4j, MongoDB, MySQL, Riak, Redis...)
• easy rapid development of new high quality robust Nagios plugins with minimal lines of code

Several plugins have been merged together and replaced with symlinks to the unified plugins bookmarking their areas of functionality, similar to some plugins from the standard nagios plugins collection.

Some plugins such as those relating to Redis and Couchbase also have different modes and expose different options when called as different program names, so those symlinks are not just cosmetic. An example of this is write replication, which exposes extra options to read from a slave after writing to the master to check that replication is 100% working.

Perl ePN optimization is not supported at this time as I was running 13,000 production checks per Nagios server years ago (circa 2010) without ePN optimization - it's not worth the effort and isn't available in any of the other languages anyway.

Python plugins are all pre-byte-compiled as part of the automated build.

Patches, improvements and even general feedback are welcome in the form of GitHub pull requests and issue tickets.

Examples of your usage and outputs are also welcome for the Wiki as some of these plugins allow a great diversity of checks to be created - for example, free form MySQL queries or ZooKeeper contents checks can be used to check pretty much anything that advanced DBAs and applications/operations personnel can think of with a just a few command line --switches.

Having written a large number of Nagios Plugins in the last 10 years in a variety of languages (Python, Perl, Ruby, Bash, VBS) I abstracted out common components of a good robust Nagios Plugin program in to libraries of reusable components that I leverage very heavily in all my modern plugins and other programs found under my other repos here on GitHub, which are now mostly written in Perl or Python using these custom libraries, for reasons of both concise rapid development and speed of execution.

These libraries enables writing much more thoroughly validated production quality code, to achieve in a quick 200 lines of Perl or Python what might otherwise take 2000-3000 lines to do properly (including some of the more complicated supporting code such as robust validation functions with long complex regexs with unit tests, configurable self-timeouts, warning/critical threshold range logic, common options and generated usage, multiple levels of verbosity, debug mode etc), dramatically reducing the time to write high quality plugins down to mere hours and at the same time vastly improving the quality of the final code through code reuse, as well as benefitting from generic future improvements to the underlying libraries.

This gives each plugin the misleading appearance of being very short, because only the some of the very core logic of what you're trying to achieve is displayed in the plugin itself, mostly composition of utility functions, and the error handling is often handled in custom libraries too, so it may appear that a simple one line field extraction or 'curl()' or 'open_file()' utility function call has no error handling at all around it but under the hood the error handling is handled inside the function inside a library, same for HBase Thrift API connection, Redis API connection etc so the client code as seen in the top level plugins knows it succeeded or otherwise the framework would have errored out with a specific error message such as "connection refused" etc... there is a lot of buried error checking code and a lot of utility functions so many operations become one-liners at the top level instead of huge programs that are hard to read and maintain.

I've tried to keep the quality here high so a lot of plugins I've written over the years haven't made it in to this collection, there are a lot still pending import, a couple others check_nsca.pl and check_syslog-ng_stats.pl are in the more/ directory until I get round to reintegrating and testing them with my current framework to modernize them, although they should still work with the tiny utils.pm from the standard nagios plugins collection.

I'm aware of Nagios::Plugin but my libraries have a lot more utility functions and I've written them to be highly convenient to develop with.

Some older plugins may not adhere to all of the criteria above so most have been filed away under the older/ directory (they were used by people out there in production so I didn't want to remove them entirely). Older plugins also indicate that I haven't run or made updates to them in a few years so they're in basic maintenance mode and may require minor tweaks or updates.

If you're new remember to check out the older/ directory for more plugins that are less current but that you might find useful such as RAID checks for Linux MD Raid, 3ware / LSI MegaRaid / Dell Perc Raid Controllers (which are actually rebranded LSI MegaRaid so you can use the same check - I also recommend the widely used Dell OpenManage Check).

Fetch my library repos which are included as submodules (they're shared between this and other repos containing various programs I've written over the years).

git clone https://github.com/harisekhon/nagios-plugins

cd nagios-plugins

git submodule init

git submodule update

Then install the Perl CPAN and Python PyPI modules as listed in the next sections.

If installing the Perl CPAN or Python PyPI modules via your package manager or by hand instead of via the Automated Build From Source section, then read the 'requirements.txt' and 'setup/cpan-requirements.txt' files for the lists of Python PyPI and Perl CPAN modules respectively that you need to install.

check_zookeeper_znode.pl
check_zookeeper_child_znodes.pl
check_hbase_*_znode.pl
check_solrcloud_*_zookeeper.pl

The above listed programs require the Net::ZooKeeper Perl CPAN module but this is not a simple cpan Net::ZooKeeper, that will fail. Follow these instructions precisely or debug at your own peril:

# install C client library
export ZOOKEEPER_VERSION=3.4.8
[ -f zookeeper-$ZOOKEEPER_VERSION.tar.gz ] || wget -O zookeeper-$ZOOKEEPER_VERSION.tar.gz http://www.mirrorservice.org/sites/ftp.apache.org/zookeeper/zookeeper-$ZOOKEEPER_VERSION/zookeeper-$ZOOKEEPER_VERSION.tar.gz
tar zxvf zookeeper-$ZOOKEEPER_VERSION.tar.gz
cd zookeeper-$ZOOKEEPER_VERSION/src/c
./configure
make
sudo make install

# now install Perl module using C library with the correct linking
cd ../contrib/zkperl
perl Makefile.PL --zookeeper-include=/usr/local/include/zookeeper --zookeeper-lib=/usr/local/lib
LD_RUN_PATH=/usr/local/lib make
sudo make install

After this check it's properly installed by doing perl -e "use Net::ZooKeeper" which should return no errors if successful.

Some plugins, especially ones under the older/ directory such as those that check 3ware/LSI raid controllers, SVN, VNC etc require external binaries to work, but the plugins will tell you if they are missing. Please see the respective vendor websites for 3ware, LSI etc to fetch those binaries and then re-run those plugins.

The check_puppet.rb plugin uses Puppet's native Ruby libraries to parse the Puppet config and as such will only be run where Puppet is properly installed.

The check_logserver.py "Syslog to MySQL" plugin will need the Python MySQL module to be installed which you should be able to find via your package manager. If using RHEL/CentOS do:

sudo yum install MySQL-python

or try install via pip, but this requires MySQL to be installed locally in order to build the Python egg...

sudo easy_install pip
sudo pip install MySQL-python

Strict validations include host/domain/FQDNs using TLDs which are populated from the official IANA list. This is done via the Lib and PyLib submodules for Perl and Python plugins respectively - see those repos for details on configuring to permit custom TLDs like .local or .intranet (both already supported by default as they're quite common customizations).

Run make update. This will git pull and then git submodule update which is necessary to pick up corresponding library updates.

If you update often and want to just quickly git pull + submodule update but skip rebuilding all those dependencies each time then run make update-no-recompile (will miss new library dependencies - do full make update if you encounter issues).

There are full multi-level suites of tests against this repository and its libraries.

Continuous Integration is run on this repo with tests for success and failure scenarios:

• Unit Tests - 1200+ unit tests covering the Perl library and Python library
• Integration tests checking dependency integration, usage --help generation etc.
• Custom tests for various languages and build systems, linting, coding style, and other standardizations
• Functional Tests - 800+ full functional tests/ using dozens of Docker Images for full API testing of the various technologies

To trigger all tests run:

make test

which will start with the underlying libraries, then move on to top level integration tests and functional tests using docker containers if docker is available.

If you encounter the following error when trying to use check_kafka.pl:

Can't locate auto/NetAddr/IP/InetBase/AF_INET6.al in @INC

This is an upstream bug related to autoloader, which you can work around by editing NetAddr/IP/InetBase.pm and adding the following line explicitly near the top just after package NetAddr::IP::InetBase;:

use Socket;

On Linux this is often at /usr/local/lib64/perl5/NetAddr/IP/InetBase.pm and on Mac /System/Library/Perl/Extras/<version>/NetAddr/IP/InetBase.pm.

You may also need to install Socket6 from CPAN.

This fix is now fully automated in the Make build by patching the NetAddr/IP/InetBase.pm file and always including Socket6 in dependencies.

Alternatively you can try the Python version check_kakfa.py which works in similar fashion.

The MongoDB Perl driver from CPAN doesn't seem to compile properly on RHEL5 based systems. PyMongo rewrite was considered but the extensive library of functions results in better code quality for the Perl plugins, it's easier to just upgrade your OS to RHEL6.

The MongoDB Perl driver does compile on RHEL6 but there is a small bug in the Readonly CPAN module that the MongoDB CPAN module uses. When it tries to call Readonly::XS, a MAGIC_COOKIE mismatch results in the following error:

Readonly::XS is not a standalone module. You should not use it directly. at /usr/local/lib64/perl5/Readonly/XS.pm line 34.

The workaround is to edit the Readonly module and comment out the eval 'use Readonly::XS' on line 33 of the Readonly module.

This is located here on Linux:

/usr/local/share/perl5/Readonly.pm

and here on Max OS X:

/Library/Perl/5.16/Readonly.pm

Recent version(s) of IO::Socket::SSL (2.020) seem to fail to respect options to ignore self-signed certs. The workaround is to create the hidden touch file below in the same top-level directory as the library to make this it include and use Net::SSL instead of IO::Socket::SSL.

touch .use_net_ssl

If you end up with an error like:

[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:765)

It can be caused by an issue with the underlying Python + libraries due to changes in OpenSSL and certificates. One quick fix is to do the following:

pip uninstall -y certifi && pip install certifi==2015.04.28

Please raise a Github Issue ticket for if you need updates, bug fixes or new features.

Since there are a lot of programs covering a lot of different technologies in this project, so remember to look at the software versions each program was written / tested against (documented in --help for each program, also found near the top of the source code in each program). Newer versions of software seem to change a lot these days especially in the Big Data & NoSQL space so plugins may require updates for newer versions.

Please make sure you have run make update first to pull the latest updates including library sub-modules and build the latest CPAN / PyPI module dependencies, (see Quick Setup above).

Make sure you run the code by hand on the command line with -v -v -v for additional debug output and paste the full output in to the issue ticket. If you want to anonymize your hostnames/IP addresses etc you may use the scrub.pl tool found in my Tools repo.

Contributions are more than welcome with patches accepted in the form of Github pull requests, for which you will receive attribution automatically as Github tracks these merges.

Python Tools & Perl Tools repos - contains another 75+ programs including useful tools such as:

• Hive / Pig => Elasticsearch / SolrCloud indexers
• Hadoop HDFS performance debugger, native checksum extractor, file retention policy script, HDFS file stats, XML & running Hadoop cluster config differ
• watch_url.pl - debugs load balanced web farms via multiple queries to a URL - returns HTTP status codes, % success across all requests, timestamps, round trip times, and optionally the output
• tools for Ambari, Pig, Hive, Spark + IPython Notebook, Solr CLI
• code reCaser for SQL / Pig / Neo4j / Hive HQL / Cassandra / MySQL / PostgreSQL / Impala / MSSQL / Oracle / Dockerfiles
• scrub.pl - anonymizes configs / logs for posting online - replaces hostnames/domains/FQDNs, IPs, passwords/keys in Cisco/Juniper configs, custom extensible phrases like your name or your company name
• validate_json/yaml/ini/xml/avro/parquet.py - validates JSON, YAML, INI (Java Properties), XML, Avro, Parquet including directory trees, standard input and even optionally 'single quoted json' and multi-record bulk JSON data formats as found in MongoDB and Hadoop / Big Data systems.
• PySpark Avro / CSV / JSON / Parquet data converters
• Ambari Blueprints tool & templates
• AWS CloudFormation templates
• DockerHub API tools including more search results and fetching repo tags (not available in official Docker tooling)

• My Perl library - used throughout this code as a submodule to make the programs in this repo short
• My Python library - Python version of the above library, also heavily leveraged to keep programs in this repo short
• Spark => Elasticsearch - Scala application to index from Spark to Elasticsearch. Used to index data in Hadoop clusters or local data via Spark standalone. This started as a Scala Spark port of pig-text-to-elasticsearch.pig from my PyTools repo

The following enterprise monitoring systems are compatible with this project:

• Nagios - the original widely used open source monitoring system that set the standard

  • Nagios Command Configuration
  • Nagios Service Configuration
  • NRPE - Nagios Remote Plugin Executor - most plugins check network services like NoSQL datastores but you can use NRPE for plugins that check the local system eg. check_linux_* / older/check_*raid*.py)

• Icinga - popular Nagios fork and rewrite with more features, Icinga retains the all-important Nagios Plugin compatibility, but adds native distributed monitoring capability, rule based configuration, a REST API and native Graphite and InfluxDB support for graphing

• Sensu - another more featureful monitoring system, compatible with both Nagios and Zabbix plugins

• Shinken - a Nagios reimplementation in Python which retains Nagios configuration compatibility

• Check_MK - Nagios-based monitoring solution with rule-based configuration, service discovery and agent-based multi-checks integrating MRPE - MK's Remote Plugin Executor. See check_mk_wrapper.py which can run any Nagios Plugin and convert its output to Check_MK local check format.

• Groundwork Monitor - Nagios-based commercial monitoring distribution

• OpsView - Nagios-based commercial monitoring distribution

• Geneos - proprietary non-standard monitoring, was used by a couple of banks I worked for. Geneos does not follow Nagios standards so integration is provided via geneos_wrapper.py which if preprended to any standard nagios plugin command will execute and translate the results to the CSV format that Geneos expects, so Geneos can utilize any Nagios Plugin using this program.

• Microsoft SCOM - Microsoft Systems Center Operations Manager, can run Nagios Plugins as arbitrary Unix shell scripts with health/warning/error expression checks, see the Microsoft technet documentation.

Datameer plugins referenced in Datameer docs from version 3 onwards in the Links section along with the official Nagios links. See here for more information on Datameer monitoring with Nagios:

• https://www.datameer.com/documentation/current/Monitoring+Hadoop+and+Datameer+using+Nagios

After trying the 1 example plugin there, return to try the 9 plugins in this collection to extend your Datameer monitoring further.