spk-logo-white-text-short2
0%
1-888-310-4540 (main) / 1-888-707-6150 (support) info@spkaa.com
Select Page

How to Monitor NetApps with Nagios

Written by Mike Solinap
Published on January 17, 2011
I just came to the realization that I’ve been working with Network Appliance filers for over a decade now. They’re great — rock solid stability, an ever expanding feature set, excellent tech support, and they’re certified against many enterprise applications including VMware and Oracle. In terms of remote server monitoring, Netapps are most commonly managed through either a web interface (FilerView), or through the Data OnTap command line interface. They also support SNMP, which is essential not only for large scale monitoring deployments such as HP OpenView, but it is also essential for smaller, roll-your-own solutions such as Nagios. What I love most about Nagios is its flexibility. You can monitor a device in a way that you’re most familiar with. For instance, to check a volume’s capacity, you could write a perl script that fetches the appropriate FilerView page and parses it for the appropriate value. Or, you could write an expect script that logs into the CLI. The Nagios plugins package does include a check_snmp utility, but wading through MIB files, parsing snmpwalk output, setting up communities can be a little aggravating at times. I’ve put together a brief howto document that can get you monitoring Netapps with Nagios in no time flat. Subscribe to our blog to keep informed on remote server monitoring, remote server management and remote application management. Mike Solinap Sr. Systems Integrator, SPK

Latest White Papers

The Total Economic Impact™ Of GitLab Duo Agent Platform

The Total Economic Impact™ Of GitLab Duo Agent Platform

The GitLab Duo Agent Platform is changing the game for software developers by providing a place for AI agents to help with planning, coding, security analysis, and analytics. While help from AI sounds great, ROI often falls short due to teams misusing it or failing to...

Related Resources

AI Is Changing Simulation. Is Your Engineering Infrastructure Ready?

AI Is Changing Simulation. Is Your Engineering Infrastructure Ready?

Key Takeaways: AI is changing simulation from a late-stage validation step into a continuous part of product development, helping teams explore more designs, automate setup, and support predictive digital twins. AI-driven simulation still depends on high-performance...

Applying AI Across the Digital Thread for Real Business Impact

Applying AI Across the Digital Thread for Real Business Impact

Key Takeaways AI needs lifecycle context to deliver real value: Standalone AI tools often struggle because they cannot see how requirements, designs, code, tests, and quality data connect across the product lifecycle. The digital thread provides the missing context:...