Icinga on Raspberry Pi
Good news everyone! Or at least for all users of Raspberry Pi and the Raspbian operating system! We now provide official packages for Raspbian on ARM chips. You can find those packages on packages.icinga.com.
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Best Practices for Configuring Linux Containers
Within a Linux network or development system, launching a limited set of applications or services (often known as microservices) in a self-sustaining container or sandboxed environment is sometimes necessary. A container enables administrators to decouple a specific set of software applications from the operating system and have them run within a clean, minimal, and isolated Linux environment of their own.
Rigado - Reducing IoT time to market with Ubuntu Core & Snaps
Ben Corrado - CEO of Rigado explains how Ubuntu Core and Snaps have helped reduce their IoT time to market.
Rigado - Infrastructure for a secure and scale-able IoT
Ben Corrado - CEO of Rigado explains how Ubuntu Core enables the simplifying of the update and configurations process in order to put together an IoT edge gateway so customers only have to focus on their end application without having to worry about the underlying security and update process of their devices.
NiCE Linux Power MP 1.00 released
Speed up your IBM Power servers like never before. In IBM Power System environments, processing time is costly and is measured in work units. A CPU hog on any Linux server can become expensive. Under-provisioned systems react slowly on queries from business applications, which then cause undesired end user or processing delays. As IBM Power servers typically run business critical workloads, response time and availability is key.
How to Monitor your Linux Server using PushMon
NOTE: This is part 2 of a post on how to monitor your server. For pre-requisites and how to monitor a windows-based server, read the earlier blog post.
Free Linux logs analytic app - get Linux logs insights automatically!
The New Linux Log Analysis & Monitoring App will automate your entire Log Management lifecycle. 3 short steps - 1. Add data 2.Deploy the app & 3.Gain insight. https://lp.xpolog.com/linux-logs-app/ The app uses machine-learning and NLP analysis to mark errors and possible problems from the collected Linux logs.
Recipe: How to integrate rsyslog with Kafka and Logstash
This recipe is similar to the previous rsyslog + Redis + Logstash one, except that we’ll use Kafka as a central buffer and connecting point instead of Redis. You’ll have more of the same advantages.
Splunk Insights for Infrastructure - Configuring log and metrics collection for Linux
With Splunk Insights for Infrastructure, it’s easy to configure both metrics and log collection and deploy instrumentation to you servers. In this video, we show you how it’s done.
Linux Log Quick Deployment - 5 minutes to all the insight you need
XpoLog features an automated deployment wizard to quickly stream logs into XpoLog. Then automatically XpoLog suggests a relevant app with ready to use dashboards and live reports. (How awesome is that? pretty awesome!)