December 2017 M T W T F S S « Nov 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
- Mug & Beer #itnetxlife #itnetx https://t.co/OOt81v7JiO 1 day ago
- Check out the latest #x-talk episode! #itnetX twitter.com/itnetx_CH/stat… 3 days ago
- Recorded the next X-Talk episode with #Docker captain Brian Christner @idomyowntricks today. Lots of fun, will be p… twitter.com/i/web/status/9… 3 days ago
- RT @ExpertsLiveCH: Die Platzzahl für «Experts Live Switzerland» ist beschränkt. Sichern Sie sich Ihr Ticket noch heute! https://t.co/89vFxc… 3 days ago
- RT @IsidoraKatanic: 📣The first speaker line-up for @ExpertsLiveCH and more to be announced! 🙌Big thanks to these #IT Experts for sharing th… 4 days ago
Tag Archives: MSOMS
Linux is becoming more and more popular for Microsoft-focused people. Why? First, Microsoft is heavily investing in this area. If you look back some years, the strategy when it comes to non-Microsoft workloads completely changed. Second, many companies want the … Continue reading
When using search queries in OMS, a list view is used to display all the results one after the other. The advantage of this view is, that you can easily access all the available properties of the collected events.
In an OMS view you can enable data-flow verification and define a query that should be executed when someone accesses the OMS website. If the query returns no data, you can display a message that informs the user that there … Continue reading
For many years – since 2007 – I have been a speaker at the annual technical conference “geekmania” in Switzerland. It’s the time of the year again when the geeky conference comes to live! This year in the Pathé Cinema … Continue reading
In my last blog post I demonstrated how to collect and visualize Tesla Supercharger data with OMS Log Analytics. Now let’s take the next step and check out how this data can be forwarded to PowerBI to create interactive reports … Continue reading
The OMS HTTP data collector allows you to collect any data from any source and send it over to OMS. Using the OMS view designer you can then visualize the data. Curious how this works? Read on!