Mattermost – Live import tool

Categories: Mattermost

Based on my previous article to export complete channels from a Mattermost server I invested some more time to build something I would call a “live importer”. The bulk import CLI can’t solve this challenge at the moment. The purpose is to migrate specific data from an existing Mattermost server to another. This might be […]

Mattermost – Ingest metrics data to Splunk

Categories: Mattermost

Last week I got a question around monitoring a Mattermost environment using Splunk. As you might know we have a metrics interface which can be used to scrape data with Prometheus and display the results in Grafana (official documentation). Since most of my customers already use Splunk I had to figure out a way to […]

Mattermost – Compliance export with files?

Categories: Mattermost

If you use Mattermost Enterprise Edition (E20) you might want to use the “Compliance Export” feature. With a simple scheduler or an ad-hoc task in the System Console this can be achieved in seconds. This week I had a customer asking: “We exported necessary but miss all the uploaded files, there’s just a FileID in […]

Nutanix, Acropolis and Automation?

Categories: Uncategorized

With the new NOS release comes a new exciting option: Acropolis. The PRISM UI looks awesome slick like always and allows you to create networks and virtual machines with a few clicks. With this Acropolis Hypervisor Management you  have the power to use your Nutanix solution to automate your Test/Dev environment or run your Build automation for […]

Witness-Script for Nutanix Metro Availability (python)

Categories: Uncategorized

Last week I had some conversations around our Metro Availability and a so called “witness”, a third observation instance. I already build a short how to with the vRealize Orchestrator but sometimes there´s no VMware 🙂 I decided to use python to write a short “promotion” function that works as soon as the Metro site […]

Spark vs. MapReduce Series – Part I – Get some data

Categories: Uncategorized

With this series I will try to show how to use Cassandra for storing data and how to use MapReduce or Spark to analyse data. First I have to store data in a Apache Cassandra database and my decision was storing tweets. Sounds easy but with CQL you have to think about your data model […]