Blog Post

Live Webinar – 7/22/2020 10AM PST: GroundWork Monitor Enterprise 8 with Elasticsearch Integration

July 9, 2020

GroundWork & Elasticsearch®
Wednesday, July 22nd at 10AM PST

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

VIEW WEBINAR RECORDING


Please register and join us Wednesday, July 22nd at 10AM PST for a live Webinar introducing our latest version of GroundWork Monitor Enterprise, 8.1.0. We’ll be featuring Integration with Elasticsearch®, an open source database system useful for log message monitoring.

  • The GroundWork Elastic connector allows unification of the monitoring you do in Elastic Stack with GroundWork
  • Monitoring log and other messages with Elastic Stack® is robust, flexible and easy to configure, however it’s siloed into Elastic and not unified with the network monitoring, server monitoring, and cloud monitoring you do in GroundWork
  • Queries you write in Elastic Stack turn into services in GroundWork, just like other metrics

We’ll discuss:

  • Deployment strategies for GroundWork and Elastic Stack in the same data center
  • Features of the GroundWork integration with Elastic Stack (GroundWork Elastic Connector)
  • Real world use cases for monitoring logs and other messages

GroundWork Make IT Easier

Other Posts...

Docker Container Monitoring with GroundWork Cloud Hub

June 19, 2020

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.

Read More

The Value of Correlation

June 4, 2020

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