ScienceLogic Meraki Monitoring Best Practices
Hello all, I wanted to take a little time to share my thoughts as the Product Manager for the Meraki PowerPack. I believe we have a great solution for integration with Meraki's API, but I find that due to Meraki's focus on more simple management and monitoring, a slight shift in mindset may be required to extract the most value. Unfortunately, when I meet with some of you, I find you may be unaware of some of our best practices that would really improve your experience! A condensed version of this information can be found in the PowerPack Manual. Some context to consider as you read: Meraki is not the typical power-user tool you're used to, although it is adding features constantly and at a rapid pace. It is not intended to have every knob and lever. It is intended to be simple and easy. Meraki monitoring is entirely through the cloud API. SNMP monitoring or SSH connections into appliances is not a typical workflow and doing so provides little benefit beyond using the REST API. Meraki really doesn't seem to want you to do this. Meraki's API does not expose all of the data you may expect. However, in my experience. the Meraki API is one of the best APIs out there. This is not because of breadth and depth of data, but due to Meraki's focus on being "API first", having proper documentation, and how quickly they iterate on their API's features. ScienceLogic Meraki Best Practices Don't expect to have all the data for everything. Meraki does not expose everything in the API and they don't intend the tools like ScienceLogic provides to, in effect, replicate their database into SL1. As Meraki abstracts some of the complexities away from the operator, reconsider what your goals are and what you want to monitor. For example, do you care about CPU util for an AP or do you just care about the overall health of the AP or the network as a whole? Don't expect per minute collections for interfaces. The Meraki API will not support that much data. Don't merge devices unless you have static IP address. Meraki recommends you use DHCP. Meraki also doesn't expose much information through SNMP anyway. If you merge physically discovered Meraki devices with components discovered through the API and IP addresses change, you will have a bunch of devices incorrectly merged. Perhaps discovering via hostname is an option for you, but in general it is advised to just stick with component mapping from the API. Use Email/Webhook alerts! The Meraki PowerPack is designed very carefully to not hammer the Meraki API and surpass the fairly gracious API rate limit. In theory SL1 could make up to 800,000 API calls per day per Meraki Org and you'd be surprised how quickly SL1 can hit that if you try to collect everything all the time. Our PowerPack is designed to scale to over 100,000 devices on a single SL1. As such, we do not attempt to collect much data that is already alerted on with the built-in Meraki Alerts. Enable Meraki Alerts and configure them to be sent into SL1 and you will effectively double your monitoring coverage of Meraki with SL1. Our PowerPack is designed to provide you visibility into the things Meraki doesn't alert you to out-of-the-box. Simplicity is key! I don't know about you, but I think the best software is simple software. We avoid doing as many "custom" things as we can in the Meraki PowerPack and we rely on core features of SL1 where possible to keep the integration stable and easy to support. Unfortunately, complexity couldn't be avoided entirely. You'll find things like RBAs to create new DCM trees for each Meraki Organization and the "Request Manager" Dynamic Application which is a complex mechanism that schedules and limits API calls to Meraki at a level of efficiency not possible without bespoke logic. Other than those items, you'll find that the Meraki PowerPack relies heavily on stock SL1 features like the following: SL1 allows you to select what DAs align to components when they are modeled, but does not enable different alignment based on device classes. As such, you may see some DAs align to devices that we don't expect to collect data (such as Uplink collections aligning to switches and APs although Meraki does not provide uplink data for those devices). You will also find that device class alignment is straight forward and simple in the Meraki Powerpack. We utilize class identifiers 1 and 2 to provide three levels of classification. If a specific model matches a class identifier, we give it that device class, if the model doesn't match entirely, but it starts with characters that give us an idea as to what kind of device it is (MS for switch, MR for AP, etc), we will give it a generic class for that kind of device. If none of the identifiers match, we will give it a generic Meraki class from the device component tab of the discovery Dynamic Application. Adding new device classes should easy, but you also should never have to add your own due to this three tier approach using basic SL1 features. Starting in Meraki API v115, most customization will be handled in the credential. Some Powerpacks may use changes in the snippet code or even use thresholds as "toggles" for certain features. The goal with the Meraki PowerPack is to allow customization in a sustainable way. In v115, you will find more options to configure what API calls to enable, SSL cert verification, and of course selective discovery all as options in the new "Universal" Credential subtype provided for Meraki. Be kind to the API! Think hard about what you really need to collect and monitor. As we get requests to collect more items from Meraki, we have no choice but to ship these to you in a disabled state. If you turn on every collection in the Meraki PowerPack, and you have more than a few thousands devices in a Meraki Organization, you are likely to hit the API rate limit quickly. Think hard about what you want to achieve and turn on collections selectively. You will find a handy guide in the PowerPack manual that lists out every Dynamic Application, what devices it collects data against, and the alignment and enablement status they default to out-of-the-box. The API rate limit is shared between tools. You may know that Meraki limits API calls per organization, but did you know, according to the Meraki documentation they also limit API rate limit based on source IP regardless of the Organization you're querying? This means that if you are monitoring 10 or more organizations from the same IP address, you will have a lower rate limit per organization as they all share 100 calls per second. If you are an MSP monitoring multiple customer Meraki Orgs, keep this in mind! Also, if you are monitoring the same org from multiple tools, you are sharing the rate limit between them. If you have another monitoring tool, or even another SL1 querying the same Meraki Org, you may be causing the rate limit to go into effect prematurely. If you have any concerns, navigate to the API Analytics page in the Merak Dashboard and you will see all of the various API tools hitting that bucket. Selective Discovery - The Meraki PowerPack allows you to limit discovery to devices and networks with certain tags. Add the tags to your credential and devices without those tags will not be modeled in SL1. As always, I'm happy to chat about Meraki or our other integrations, so don't hesitate to schedule time through your account manager! Do you have any tips or tricks? Share them in the comments!2024 Customer Success Honoree Award Winners
Any community whether online or in person is a place to share and learn. As leader of Customer Advocacy, my role too encompasses sharing the voice of our customer in many formats in order for our peers to thrive from this knowledge. In case you missed it, we recently launched our ScienceLogic 2024 Customer Success Honorees - an awards program recognizing those who have made significant progress in a specific area, and have been an integral champion for SL1 success. I wanted to share with you these wonderful advocates, our finalists, in the hopes it inspires you to share your stories of success with our new Nexus community! Stay tuned for our upcoming 2024 Innovators Awards, an application-based awards program celebrating and recognizing customers and partners who are leading the charge in digital transformation, operational excellence, innovation, and business impact utilizing SL1 in innovative ways. Applications are opening early June! Read more in our CS Honoree eBook. Congratulations to each of our 2024 Honorees! 👏💣 If you're interested in telling your SL1 story, please reach out to me, and join our Pathfinders customer advocate program.IBM: MQ v104 PowerPack Release Notification
We are pleased to announce that the IBM: MQ v104 PowerPack has been released. The download for this release can be found on the Support Portal under the PowerPack filename: https://support.sciencelogic.com/s/release-version/aBu0z000000XZosCAG/ibm-mq This IBM: MQ v104 PowerPack includes the following features: This PowerPack is now Python 3.6 compliant. Addressed an issue in the "IBM: Queue Performance" Dynamic Application displayed incorrect labels. Moved all labels to Group 0, removed the Stats label, and updated the alerts tied to those labels. (Cases: 00392676; 00404130) Improved the "IBM: MQ Queue Performance" Dynamic Application by implementing a new parser. Addressed an issue in which not all MQ QMGRs were being discovered by the "IBM: MQ Discovery" Dynamic Application. (Case: 00357992) Updated the "IBM: Queque Performance" Dynamic Application to improve the performance execution for PowerShell request. Added the “IBM MQ: Queue message depth back to normal” and "IBM MQ: Transmission Queue back to normal" alerts and events to the "IBM: MQ Queue Performance" Dynamic Application. Updated the Universal Credential to allow the Password field to accept empty values and updated the PEM Key field to allow multiple lines of input. Please refer to the IBM: MQ v104 PowerPack File Details in the PowerPacks section of the Support Portal for all information pertaining to the IBM: MQ v104 PowerPack Support Status, Minimum SL1 Version, Solution Information, and Pricing Information. The IBM: MQ v104 PowerPack Release File Details also contains links to the Release Notes, Manual, and PowerPack Info Report. Issues Addressed in the IBM: MQ v104 PowerPack Release can be found in the Release Notes.Oracle: Solaris Monitoring v102 PowerPack Release Notification
We are pleased to announce that the Oracle: Solaris Monitoring v102 PowerPack has been released. The download for this release can be found on the Support Portal under the PowerPack filename: https://support.sciencelogic.com/s/release-version/aBu4z000000wkKnCAI/oracle-solaris-monitoring The following enhancements and addressed issues are included this release of the Oracle: Solaris Monitoring v102 PowerPack: The initial release of the Oracle: Solaris v102 PowerPack is Python3 compatible and utilizes snippet frameworks. Added support for Solaris 11.x for collection objects in the "Oracle: Solaris System Configuration" Dynamic Application. Improved the Solaris Device Classification alert in the "Solaris Configuration Discovery" Dynamic Application and added new collection objects, "ZFS Unit" and "ZFS Unit Alert", to the "Solaris Memory Stats Enhancement" Dynamic Application. Please refer to the Oracle: Solaris Monitoring v102 PowerPack File Details in the PowerPacks section of the Support Portal for all information pertaining to the Oracle: Solaris Monitoring v102 PowerPack Support Status, Minimum SL1 Version, Solution Information, and Pricing Information. The Oracle: Solaris Monitoring v102 PowerPack Release File Details also contains links to the Release Notes, Manual, and PowerPack Info Report. Issues Addressed in the Oracle: Solaris Monitoring v102 PowerPack Release can be found in the Release Notes.Execution Environment PowerPack v101
We are pleased to announce that the "Execution Environment check" v101 Power Pack is released. Version 101 of the "SL1: Execution Environment Check" PowerPack includes several updates to the "SL1: 12.1.2 Execution Environment Check" Dynamic Application. Minimum Required SL1 Version: 11.3.1 The release and documentation can be accessed using the following link: https://support.sciencelogic.com/s/release-file/aBtVL0000000PuT0AU/sl1executionenvironmentcheckv101r131em7pp
