Over the last few days, I had an requirement injecting events from .evtx files into OMS Log Analytics. A typical .evtx file that I need to process contains over 140,000 events. Since the Azure Automation runbook have the maximum execution time of 3 hours, in order to make the runbook more efficient, I also had to update my OMSDataInjection PowerShell module to support bulk insert (http://blog.tyang.org/2016/12/05/omsdatainjection-powershell-module-updated/). I have publish the runbook on GitHub Gist: View the code on Gist. Note: In order to use this runbook, you MUST use the latest OMSDataInjection module (version 1.1.1) because of the bulk insert.
I’ve updated the OMSDataInjection PowerShell module to version 1.1.1. I have added support for bulk insert into OMS. Now you can pass in an array of PSObject or plain JSON payload with multiple log entries. The module will check for the payload size and make sure it is below the supported limit of 30MB before inserting into OMS. You can get the new version from both PowerShell Gallery and GitHub: PowerShell Gallery: https://www.powershellgallery.com/packages/OMSDataInjection/1.1.1 GitHub: https://github.com/tyconsulting/OMSDataInjection-PSModule/releases/tag/1.1.1
Introduction Back in September, the Power BI team introduced the Forecasting preview feature in Power BI Desktop. I was really excited to see this highly demanded feature finally been made available. However, it was only a preview feature in Power BI Desktop, it was not available in Power BI online. Few days ago, when the Power BI November update was introduced, this feature has come out of preview and became available also on Power BI Online. In the cloud and data centre management context, forecasting plays a very important role in capacity planning. Earlier this year, before the OMS Capacity
Last month, I presented at the Melbourne Microsoft Cloud and Datacenter Meetup on the topic “Developing Your OWN OMS Solutions” (https://www.meetup.com/Melbourne-Microsoft-Cloud-and-Datacenter-Meetup/events/233154212/). I recorded the session but then realise the recording had some technical errors due to the change of screen resolution without restarting Camtasia. This morning, I re-recorded the session and uploaded to the Meetup’s YouTube Channel. If you are interested, you can watch the recording here (https://www.youtube.com/watch?v=zUzI31iIcTk): And you can also download the slide deck HERE.
Background Earlier today, the OMS Product Group has released the OMS HTTP Data Collection API to public preview. If you haven’t read the announcement, you can read this blog post written by the PM of this feature, Evan Hissey first. As a Cloud and Datacenter Management MVP, I’ve had private preview access to this feature for few months now, and I actually even developed a solution using this API in a customer engagement with my friend and fellow CDM MVP Alex Verkinderen (@AlexVerkinderen) just over a month ago. I was really impressed with the potential opportunities this feature may bring
I’ve been playing with the OMS Network Performance Monitor (NPM) today. Earlier today, I’ve released an OpsMgr MP that contains tasks to configure MMA agent for NPM. You can find the post here: http://blog.tyang.org/2016/08/22/opsmgr-agent-task-to-configure-oms-network-performance-monitor-agents/ The other thing I wanted to do is to create a Power BI dashboard for the data collected by OMS NPM solution. The data collected by NPM can be retrieved using OMS search query “Type=NetworkMonitoring”. To begin my experiment, I created a Power BI schedule in OMS using above mentioned query and waited a while for the data to populate in Power BI I then used
OMS Network Performance Monitor (NPM) has made to public preview few weeks ago. Unlike other OMS solutions, for NPM, additional configuration is required on each agent that you wish to enrol to this solution. The detailed steps are documented in the solution documentation. The product team has provided a PowerShell script to configure the MMA agents locally (link included in the documentation). In order to make the configuration process easier for the OpsMgr users, I have created a management pack that contains several agent tasks: Enable OMS Network Performance Monitor Disable OMS Network Performance Monitor Get OMS Network Performance Monitor
Introduction Few days ago, the OMS product team has announced the OMS Agent Heartbeat capability. If you haven’t read about it, you can find the post here: https://blogs.technet.microsoft.com/msoms/2016/08/16/view-your-agent-health-in-oms-2/. In this post, Nini, the PM for the agent heartbeat feature explained how to create custom views within OMS portal to visualize the agent heartbeat data. Funny that I also started working on something similar around the same time, but instead of creating visual presentations within OMS, I did it Power BI. I managed to create couple of Power BI reports for the OMS agent heartbeat, using both native and custom Power
Few weeks ago, the OMS product team has made a very nice change for the Near Real Time (NRT) Performance data – the data aggregation has been removed! I’ve been waiting for the official announcement before posting this on my blog. Now Leyla from the OMS team has finally broke the silence and made this public: Raw searchable performance metrics in OMS. I’m really excited about this update. Before this change, we were only able to search 30-minute aggregated data via Log Search. this behaviour brings some limitations to us: It’s difficult to calculate average values based on other intervals
Earlier this week, Microsoft has release a new feature in System Center Configuration Manager 1606 called OMS Connector: As we all know, OMS supports computer groups. We can either manually create computer groups in OMS using OMS search queries, or import AD and WSUS groups. With the ConfigMgr OMS Connector, we can now import ConfigMgr device collections into OMS as computer groups. Instead of using the OMS workspace ID and keys to access OMS, the ConfigMgr OMS connector requires an Azure AD Application and Service Principal. My friend and fellow Cloud and Data Center Management MVP Steve Beaumont has blogged