Video: Adding an Existing SCOM Distributed App to OpsLogix ProView Management Pack

Video: Adding an Existing SCOM Distributed App to OpsLogix ProView Management Pack


In this demonstration video, Tao Yang shows how to create an OpsLogix Proview dashboard for an existing System Center Operations Manager Distributed Application. In this particular demonstration, Tao Yang is using the Windows Azure pack.

About the OpsLogix ProView Management Pack

ProView is a flexible user-friendly visualization tool that enables the complete dynamic visualization of all of the data being monitored in System Center Operations Manager.

It is said that “A picture is worth a thousand words” allowing us to understand complex problems in the blink of an eye. With ProView visualizing this complexity is only limited by your imagination.

Visualization is the easiest way to process large quantities of data and complicated systems. A good image or diagram can show patterns, underlying relationships, and dependencies. The ability to visualize related system components benefits ITSM monitoring immensely.

Learn more about the OpsLogix ProView Management Pack for System Center here.

If you have any additional questions or would like to get a free trial or a quote, send us an email to

All you need to know about the OpsLogix VMware Management Pack

All you need to know about the OpsLogix VMware Management Pack

For most companies virtualization has become the common standard in all facets of IT. Desktop virtualization, emulators, and hypervisors, all contribute to autonomic computing which in turn ultimately aims to develop computer systems capable of self-management.




Base licenses per socket starting from €159
Making sense in price and performance!






OpsLogix VMware Management Pack

The OpsLogix VMware Management Pack provides essential basic monitoring for  VMware environment, presenting data in the System Center Operations Manager console. The OpsLogix Management Pack for VMware takes all the States and Alerts vCenter generates and presents them in System Center Operations Manager 2012 or higher.

Following the common engineering criteria set down by Microsoft’s Dynamic Systems Initiative (DSI) which unifies hardware, software, and services. The OpsLogix VMware Management Pack consolidates VMware data in SCOM for a competitive price!

Two minute VMware Management Pack demonstration by Vincent de Vries

What else does the OpsLogix VMware Management Pack do?


  • The OpsLogix VMware Management Pack fully supports the CI perspective in Service Manager, meaning that the data can be used in an automated workflow such as auto-populating a CMDB or auto-ticketing prompt.
  • We’ve also made sure that our VMware Management Pack seamlessly integrates into OMS. Meaning for companies already using OMS, it’s an easy fit, maximizing both the centralizing of infrastructural data as well as being able to use the tools OMS log analytics provides.

VMware Management Pack demonstration by MVP Tao Yang

Virtualization and why it’s important


Virtualization has been around since the end of the 1990s and has rapidly developed into a standard feature in any enterprise infrastructure. Its immediate benefits are:

  • Reduced administration burden in that, a centralized console allows quicker server access for purposes of provisioning and/or re-provisioning, quickly allocating additional resources such as RAM, power or space
  • Super-fast deployment simply because every server is a file or collection of files on disk. This means that adding additional servers to an infrastructure is literally a matter of cloning or in layman’s terms copy-pasting.
  • Greatly reduced infrastructure cost in hardware. Things like cooling, electricity, network ports, mice and keyboards not to mention physical space. Industry studies have estimated that virtualization increases hardware utilization and operating costs by at least 50% to 70%.




Extending Microsoft Private Cloud OpsLogix VMware Management Pack

VMware Management Pack & OMS Log Analytics

Our VMware Management Pack has been fully integrated into Microsoft’s Operations Management Suite from the get-go.

We also make it possible to collect over 60 performance metrics to analyze the VMware health state. For example, Host / VM memory and CPU usage and datastore space etc. and of course all audit / task / alarm / snmp etc. events. Meaning that you can use it to meet all the requirements of your security auditing (NEN, SOX, ISO & etc.) And what’s really neat about our VMware monitoring solution, is that it doesn’t require a vCenter installation. You can also directly connect to a ESX(i) host without almost losing any monitoring features.


If you are already using our VMware Management Pack, or you are in trial fase, we offer the VMware OMS Log Analytics solution completely for free. Would you like to try it? Send an email to

Watch: Course on Monitoring your Hybrid Environment with OMS Security

Watch: Course on Monitoring your Hybrid Environment with OMS Security

We recently encountered an online course, brought to you by Yuri Diogenes, Senior Content Developer at Microsoft, comprised out of 13 videos giving you the details on security challenges for IT operations and how the OMS Security and Audit solution can help you to overcome those challenges. At OpsLogix we thought that this is pretty cool and useful so we’d like to share it with you.

Hybrid Environments & OMS Security

Learn about assessments for antimalware, updates, and baselines. Explore monitoring considerations for identity, access, and computers. If you’re wondering how to implement and manage Microsoft Operations Management Suite (OMS) to monitor a hybrid enterprise infrastructure, be sure to check out this course. Learn about deployment, antimalware, and update assessments, in addition to incident detection and response.

Security Challenges

Take a look at important deployment considerations for OMS Security agents, along with general considerations. Plus, leverage Microsoft security intelligence to help you identify suspicious activities in your environment, and find out how to use notable issues to investigate alerts.

Update Release: EZalert V 1.0 Advanced SCOM Alert Tuning

Update Release: EZalert V 1.0 Advanced SCOM Alert Tuning

EZalert is our software solution for advanced SCOM alert tuning based on sophisticated machine learning algorithms.

The machine learning component allows EZalert to learn from the SCOM administrator and mimic his or her behavior when automatically closing irrelevant SCOM alerts. EZalert is also fully compatible with SCOM 2016. Click here to request a free trial for EZalert.

Get to know our SCOM alert tuning solution

Added to EZalert V 1.0

For the updated version we’ve made some small corrections to the UI, WCF service and logic in the backend and added a service & license status indicator to the top of the UI. Furthermore, new stored procedures have been added to the database for increased performance.

Changes & Bug fixes EZalert V 1.0

We’ve made some additional changes to the UI and backend for the latest update. The UI has been updated with a new layout for the settings page and on the backend the performance of the EZalert windows NT and EzAlert API (WCF srv) has been increased. As for the bug fixes? It’s no longer possible to use the same installation/database of EZalert on multiple management groups and accuracy on the settings tab is displayed correctly.

Would you like to know how to use EZalert?

System Center Operations Manager 2012: Update Rollup 12

System Center Operations Manager 2012: Update Rollup 12

Recently Microsoft released the update rollup 12 for System Center Operations Manager 2012 R2 users, including installation guidelines.

Issues that are fixed in System Center Operations Manager

  • When you try to upgrade System Center Operations Manager 2012 R2 Reporting Server to System Center 2016 Operations Manager reporting server, the upgrade fails for the following configuration:
  • Server A is configured as System Center 2012 R2 Operations Manager including Management Server.
  • Server B is configured as System Center 2012 R2 Operations Manager, including Operations Manager Database (OpsMgrDB), Operations Manager Data Warehouse (OpsMgrDW) and Operations Manager Reporting Server.

( X ) Management Server Upgraded Check

The management server to which this component reports has not been upgraded.

  • Recovery tasks on “Computer Not Reachable” messages in the System Center Operations Manager Monitor generate failed logons for System Center Operations Manager Agents that are not part of the same domain as the Management Groups.
  • When a Management Server is removed from the All Management Servers Resource Pool, the monitoring host process do not update the Type Space Cache.
  • SHA1 is deprecated for the System Center Operations Manager 2012 R2 Agent and SHA2 is now supported.
  • Because of incorrect computations of configuration and overrides, some managed entities go into an unmonitored state. This behavior is accompanied by event 1215 errors that are logged in the Operations Manager log.
  • IntelliTrace Profiling workflows fail on certain Windows operating system versions. The workflow cannot resolve Shell32 interface issues correctly.
  • There is a character limitation of 50 characters on the custom fields in the notification subscription criteria. This update increases the size of the limitation to 255 characters.
  • You cannot add Windows Client computers for Operational Insights (OMS) monitoring. This update fixes the OMS Managed Computers wizard in the System Center Operations Manager Administration pane to let you search or add Windows Client computers.
  • When you use the Unix Process Monitoring Template wizard to add a new template to the monitor processes on UNIX servers, the monitored data is not inserted into the database. This issue occurs until the Monitoring Host is restarted. Additionally, the following is logged in the Operations Manager log file:

Log entry:
Log Name:      Operations Manager
Source:        Health Service Modules
Event ID:      10801
Task Category: None
Level:         Error
Keywords:      Classic
User:          N/A
Description:    Discovery data couldn’t be inserted to the database. This could have happened because of one of the following reasons:
– Discovery data is stale. The discovery data is generated by an MP recently deleted.
– Database connectivity problems or database running out of space.
– Discovery data received is not valid.

Additionally, you may receive the following exception, which causes this issue to occur:

Exception type:   Microsoft.EnterpriseManagement.Common.DataItemDoesNotExistException
Message:          ManagedTypeId = ccf81b2f-4b92-bbaf-f53e-d42cd9591c1c
InnerException:   <none>
StackTrace (generated):            SP               IP               Function            000000000EE4EF10 00007FF8789773D5 Microsoft_EnterpriseManagement_DataAccessLayer!Microsoft.EnterpriseManagement.DataAccessLayer.TypeSpaceData.IsDerivedFrom(System.Guid, System.Guid)+0x385

Read the full article here.


Relevant Articles:

Watch: Best Practices for Designing your SCOM 2016 Environment with MVP Maarten Goet

Watch what’s new in SCOM 2016 & Microsoft OMS with Maarten Goet
Is your company scared of Artificial Intelligence?

Is your company scared of Artificial Intelligence?

In the last year Machine Learning, AI (Artificial Intelligence), Deep Learning and Data Science have become the new buzz words in information technology. Tech companies are now investing billions in the development of these new technologies and are racing to be able to boast the latest advance in image recognition or machines that can operate autonomously.

More and more consumer products are making use of Artificial Intelligence.

These products range from for your latest smartphone to your home thermostat or electric toothbrush. Consumers adopt these new technologies and products quickly, but companies seem far more hesitant and slower adopting products which contain AI.

Why are some companies hesitant adopting products containing Artificial Intelligence?

One of the reasons why companies are slower adopting these products is a gap in knowledge. Typically staff of an IT department have heard of Artificial Intelligence, and are more knowledgeable about it than people who are not working in IT, but they don’t know it as well as the tried and tested technologies they are currently working with. There is also a fear that products, which use AI, are going to make unexpected decisions, and that there is no way of finding out why a particular decision was made.

Making sense of AI, Machine Learning and other buzz words

Artificial Intelligence is an umbrella term for the field of Computer Science which deals with providing machines the ability to perform rational tasks such as Language Recognition, Automation, Image Recognition, and many others. The field of Artificial Intelligence includes:

  • Machine Learning is a subset of AI which is data oriented and deals with prediction. If you hear about techniques like SVM, Bayes and Decision Trees you can be confident that you are talking about machine learning.
  • Neural Networks are also a subset of AI which has been extremely popular over the last years. Neural Network algorithms mimic the Neurons in a human brain and are most commonly used in voice and image processing. The technique of applying Neural Networks is sometimes referred to as Deep Learning.
  • Data Science is often used in conjunction with Artificial Intelligence, however, it is not an algorithm, but a scientific field for extracting knowledge or gaining insights in data in various forms, either structured or unstructured.

What type of AI do we use for what application?

In general most Machine Learning techniques are used in a predictive capacity. Will the stock market rise or fall? Who will develop diabetes? What will the outcome be for a football match? Machine Learning is largely based on well-known statistic techniques and therefore the the results can be validated.

Neural Networks are typically used for non-predictive tasks such a face and voice recognition or autonomous driving cars. Large Neural Networks can be extremely complex, and unlike Machine Learning, it can be very challenging or nearly impossible to find out why a Neural Network made a particular decision. Currently, a lot of research is done in an effort to making the decision-making process of neural networks more transparent so that improvements can be made on current techniques.

Mind shift for adopting AI

Is it a bad thing that we don’t always know why a decision was made by a type of AI algorithm? The knee jerk reflex is the need to have control over a system and that we know exactly why a system did what it did. For the past decade, this way of thinking has been dominant in IT but it’s slowly changing to an approach where we don’t control the output of a system directly, but rather “train” the system like we do with a pet or apprentice. In the consumer market we can already see that we train our home thermostat to choose the best time to start heating your house, so for example, would it be so strange to let AI decide when it would be an optimal time to do maintenance on your IT environment?

If we are confident in the AI’s ability to be trained to a point where we trust its decision making, then it doesn’t really matter if we are not exactly sure why the AI made a choice, just that we know it made the right one.