Monitoring

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Article
David Loveluck · Feb 25, 2019 4m read
Using Grafana directly from IRIS

There have been some very helpful articles in the community that show how to use Grafana with IRIS (or Cache/Ensemble) by using an intermediate database.

But I wanted to get at IRIS structures directly. In particular, i wanted to access the Cache History monitor data that is accessible by SQL as described here

https://community.intersystems.com/post/apm-using-cach%C3%A9-history-mon...

and didn't want anything between me and the data.

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Whenever the Windows SNMP Service restarts, the snmpdbg log says the following.  

16:58:25 :Debug tracing enabled for SNMP agent
16:58:25 :SnmpExtensionInit called, pid=4432, tid=12276
16:58:25 :CreateEvent for CacheSNMPTrap suceeded
16:58:25 :register Cache OID 1.3.6.1.4.1.16563.1
16:58:25 :Get all Cache configs ... 16:58:25 :found 1 configs
16:58:25 :Add ENSEMBLE config to list ... 

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Whenever the Windows SNMP Service restarts, the snmpdbg log says the following. 

13:08:59 :Attempting initial TCP connection(s) with 1 Cache instances ...
13:08:59 :Get connection with ENSEMBLE on port 1972
13:08:59 :Connection refused on port 1972, check if Cache instance ENSEMBLE is started.
13:08:59 :Cache iscsnmp.dll initialized for 1 configs

Ensemble and all productions are running. I've set up Caché SNMP agent on many other servers in our company and those are working fine. However this one server won't budge. 

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Does anyone know if I can create an API integration, from Ensemble to Salesforce? What I would like to do is trigger a Salesforce case to be opened when for example a Queue reaches a predefined threshold or an interface connection goes from green to non-green.

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Announcement
Benjamin De Boe · Aug 20, 2020
SQL Monitoring survey

Hi,

As part of our continuous efforts to expand and improve the InterSystems IRIS Data Platform, we’ve set up a brief survey around SQL monitoring. Your feedback will help us in designing and developing the right tools for the job and improve the platform’s overall ease-of-use. Please use the link below to access the survey, which should only take around 5 minutes to complete.

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Article
Evgeny Shvarov · Aug 2, 2020 1m read
Application Errors Analytics

Hi Developers!

As you know the application errors live in ^ERRORS global. They appear there if you call:

d e.Log() 

in a Catch section of Try-Catch.

With @Robert Cemper's approach, you can now use SQL to examine it.

Inspired by Robert's module I introduced a simple IRIS Analytics module which shows these errors in a dashboard:

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GA releases are now available for the first version (v1.0) of InterSystems System Alerting and Monitoring (InterSystems SAM for short)
  
InterSystems SAM v1.0 provides a modern monitoring solution for InterSystems IRIS based products. It allows high-level views of clusters and single-node drilled down metrics-visualization together with alerts notifications.  This first version provides visualization for more than one hundred InterSystems IRIS kernel metrics, and users can extend the default-supplied Grafana template to their liking.
 

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Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation). 

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Hi, 

During the implementation of iris-history-monitor using ZPM, I'm bumping on the following scenario:

My Installer.cls has a call for the Custom Sensors Class method.  The Custom information looks like a charm as I described in this article: 

IRIS History Monitor using custom built-in REST API /api/monitor/metrics

But, now I'm trying to replicate the same behavior using the module.xml to work with ZPM.

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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd  at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.

Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.

Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking. 

   

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Preview releases are now available for the first version (v1.0) of InterSystems System Alerting and Monitoring (InterSystems SAM for short).
  
InterSystems SAM v1.0 provides a modern monitoring solution for InterSystems IRIS-based products. It allows high-level views of clusters and single-node drilled down metrics-visualization together with alerts notifications.  This first version provides visualization for more than one hundred InterSystems IRIS kernel metrics, and users can extend the default-supplied Grafana template to their liking.
 
V1.0 is meant to be a simple and intuitive baseline. Please help us make it great by trying it and sending us feedback!

SAM can display information from InterSystems-based instance starting with version 2019.4
 
SAM is only available in container format. You will need the SAM Manager container plus a small set of additional open-source components (Prometheus and Grafana) that are added automatically by the composition file.

SAM components and the SAM Manager Community Edition are available from

 

If you are traveling or prefer a voice-based  Q&A description on what SAM is, here is a podcast we have prepared for you: 

100%/160

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Note (June 2019): A lot has changed, for the latest details go here

Note (Sept 2018): There have been big changes since this post first appeared, I suggest using the Docker Container version, the project and details for running as a container are still in the same place  published on GitHub so you can download, run - and modify if you need to.

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One of the topics that comes up often when managing Ensemble productions is disk space:

The database (the CACHE.DAT file) grows in a rate that was unexpected; or the Journal files build up at a fast pace; or the database grows continuously though the system has a scheduled purge of the Ensemble runtime data.

It would have been better if these kind of phenomena would have been observed and accounted for yet at the development and testing stage rather than on a live system.

For this purpose I created a basic framework that could aid in this task.

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Hi all.

A long time ago I enabled Activity Monitoring to be able to save myself headaches in the future when looking at the performance of various message routes through our productions.  It's served it's purpose of answering questions on how many messages we process a week etc but I had not had the chance to really dig down into the stats for specific message types or destinations to pin point issues.

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The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.


This post assumes you have Docker installed. If not, go and do that now for your platform :)

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