Caché Version String: Cache for UNIX (Red Hat Enterprise Linux for x86-64) 2016.2.1
We have a mirrored Ensemble system (110, backup and 210, primary). At one time (14:00) there is a disruption in the production. The messages are not being processed.
Alerts are messages generated by production components. InterSystems IRIS automatically writes the alerts to a log file and sends then to the production component named Ens.Alert. If your production does not have a component named Ens.Alert, then InterSystems IRIS writes alerts to the log file but does not send them to any component. The component named Ens.Alert can be of any class. The most frequently used classes for Ens.Alert are:
I know there's a whole chapter on the subject but I would love a super simple video demo or sample configuration or training course. The myriad menu of options and unfamiliar prompts can make it a bit daunting. The challenge is simple. Send an email notification if the license usage exceeds n% LU consumption. Why? A recent software change seemed to be responsible for causing the LU total consumption to reach 100%.
APM normally focuses on the activity of the application but gathering information about system usage gives you important background information that helps understand and manage the performance of your application so I am including the IRIS History Monitor in this series.
In this article I will briefly describe how you start the IRIS or Caché History Monitor to build a record of the system level activity to go with the application activity and performance information you gather. I will also give examples of SQL to access the information.
This is a self contained class that can be run from the Intersystems Task Scheduler which records peak usage details for databases and licenses built up throughout the day and retaining 30 days history.
To schedule the task to run every hour:
d ##class(Metrics.Task).Schedule()
You can also specify your own start time, stop time, and run interval:
d ##class(Metrics.Task).Schedule(startTime, stopTime, intervalMins)
Metrics are stored in ^Metrics in the namespace that the class resides in/is run from.
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.
When we write unit test cases for cache object script code using %UnitTest.TestCase, what is the best way to write code to identify code coverage?
So, let say my unit test case hit all 10 lines of code of a method for a given class. So, unit test coverage should be 100% for that. But, using line-by-line coverage [(%Monitor.System.LineByLine] getting wrong percentage, because it also includes code comment/documentation as part of code. So, practically we can not ever achieve 100% of code coverage by using this API.
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
Externally at the SAM components Github repo & the SAM Manager on Docker Hub if you want to download it before the docker-compose runs (this last link might not be available for few hours but the container is pullable)
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:
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.
InterSystems Production Monitor is a page in Management Portal to display monitoring information for the current running production. I like the page as it comes, but one size does not fit all.
On May 13, 2022 I read this post on Developer Community:
In the Windows Ressource Manager I can observe multiple parallel processes coming from cache.exe with read operations to journaling files.
All except one of these processes have the same reads(Byte/s). The processes point to different journal files and constantly read between 200 and 3000 Bytes/s.
The corresponding process via PID in the management portal of Caché shows the process %SYS.Monitor.Control.1. In 3 days of uptime on the server it has run 181.632.583 commands and modified 32.140.642 globals.
Hello everyone, let me introduce, one of my latest projects. It is a DataSource plugin for Grafana, which can connect directly to InterSystems IRIS and gather any data (in the future).
When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.
I just watched the recording of Michael Brady's presentation on Ensemble Disk Free Space Monitoring. Is the sample code for the Task definition class still available? How can I obtain a copy?
In looking at the Production monitor within Ensemble, I was wondering if there is a way we could customize it for our use. I notice it is basically a dashboard.
For example I would only like to truly display those Services, Processes, and Operations that are truly in dire need of attention. The Monitor out of the box just seems too busy, and I would like to simplify it.
Released with no formal announcement in IRIS preview release 2019.4 is the /api/monitor service exposing IRIS metrics in Prometheus format. Big news for anyone wanting to use IRIS metrics as part of their monitoring and alerting solution. The API is a component of the new IRIS System Alerting and Monitoring (SAM) solution that will be released in an upcoming version of IRIS.
Im trying configure the Caché Monitor Manager (^MONMGR) utility for send alert e-mails. Following the steps I have doubs to configure the options in "Set Server" to send e-mails for hotmail or outlook (smtp-mail.outlook.com). I dont know how can I configure Mail server SSLConfiguration for hotmail or outlook. Could you give me help? Thank you!
I've been trying for a while to come up with a set of tools to monitor the health of a mirror set and email a report nightly on the status of the mirror, or flag issues in real time. Making sure that all the databases are caught up, that all the mirror members are online.
1. A deployment may consist of two high availability instances and two disaster recovery instances in a different data center.
The corresponding UAT environment could replicate this giving a total of 8 instances. How do you confirm CPF and Scheduled task alignment across ALL instances.
With the gradual improvement of hospital information construction, there are more and more business interfaces in hospitals. Due to the influence of various factors (network, consumer system, etc.), the data processing of business interface may cause excessive message accumulation and even the situation of interface card congestion, which affects the normal business development in the hospital. Therefore, the monitoring of the queue of business interface components becomes more and more important.
I have Ensemble/Healthshare running in a production environment which is setup with a mirror failover and an arbiter sitting between them.
In the event of a failover we have a number of connections that need stopping/monitoring and starting in a certain order.
Is there a programmatic way we can detect the failover and stop certain services and operations immediately and then start them up again in the required order, checking their connection state before starting the next connection.
Enterprise Monitor is a component of Ensemble and can help organizations monitor multiple productions running on different namespaces within the same instance or namespaces running on multiple instances.
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