Got 7 minutes?

This video, just 7 minutes long, demonstrates a GroundWork Monitor 8 installation.

For this demo we perform a new install for a standalone type installation on a Linux server with Ubuntu 18.04, and have decided on the hostname ip-10-4-50-199.gwos. This install starts out with some system preparation, proceeds to install Docker, and then prepares and runs the GroundWork Installer.

Before you begin your own installation, please refer to the full installation documentation on the GroundWork Support portal. You will need to follow important instructions for all sections including Pre Install, Install, and Post Install.

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Single Source of Truth

A monitoring system is a shared tool. It’s useful for teams to operate from the same source of information, since subjective opinions can lead insights astray, especially when troubleshooting systems and network issues. You need a single source of truth. 

A monitoring dashboard with drill-down capability is a basic tool for any NOC staff. Often displayed on kiosks or wall-mounted in the Network Operations Center (NOC), dashboards let you know at a glance whether anything needs attention. 
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GroundWork Open Source Releases Major Update to GroundWork Monitor Enterprise

GroundWork Monitor Enterprise 8.1.1 includes distributed monitoring and enhanced
connection technology for multiple data sources.

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GroundWork Monitor offers Parent Child configurations for distributed monitoring, enabling the monitoring of a subset of an infrastructure where Child servers report the state and performance metrics to a central, or “Parent” GroundWork server.

What this Blog post is focused on is not a Parent Child architecture configuration, but instead the other kind of Parent Child: the relationships and inherent dependencies that can be configured to control the behavior of hosts and services based on the status of one of more other hosts and services.
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GroundWork & Elasticsearch®
Wednesday, July 22nd at 10AM PST

Sorry we missed you, and here’s the recording:

VIEW WEBINAR RECORDING

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Why Containers?

Container technologies have captivated the computing world. Containers are the cornerstone for cloud computing and microservice architectures. Whether it be Docker™, Docker Compose™, or Kubernetes™, the IT world is embracing this technology with great enthusiasm.

How can you monitor containers? They are different from traditional hosts and servers. For one thing, they are not physical machines; nor are they virtual machines. Containers can be spun up to handle periodic load, and then torn down when no longer needed. With Kubernetes, containers can also be replicated and load balanced in pods across clusters.

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Why Correlation?

Data that is static or that behaves the same way day-to-day isn’t indicating aberrant behavior. Looking at the correlation of data from today with data from yesterday can tell you if today is different in some way: positive correlation means today is related to yesterday, particularly if deviation is high. Negative correlation with high variability means that today isn’t like yesterday at all. 

Is something going wrong?

One of the problems you have when looking at operational data is that frequently, it’s not really obvious when something is going wrong. If you are within normal parameters, i.e.,  simple thresholds haven’t been crossed, then what can you tell about how a system is performing today? Read More